Series_Dataframes.html

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<title>Series_Dataframes</title>

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  content: "\e252";
}
.glyphicon-triangle-top:before {
  content: "\e253";
}
.glyphicon-console:before {
  content: "\e254";
}
.glyphicon-superscript:before {
  content: "\e255";
}
.glyphicon-subscript:before {
  content: "\e256";
}
.glyphicon-menu-left:before {
  content: "\e257";
}
.glyphicon-menu-right:before {
  content: "\e258";
}
.glyphicon-menu-down:before {
  content: "\e259";
}
.glyphicon-menu-up:before {
  content: "\e260";
}
* {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
*:before,
*:after {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
html {
  font-size: 10px;
  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
}
body {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-size: 13px;
  line-height: 1.42857143;
  color: #000;
  background-color: #fff;
}
input,
button,
select,
textarea {
  font-family: inherit;
  font-size: inherit;
  line-height: inherit;
}
a {
  color: #337ab7;
  text-decoration: none;
}
a:hover,
a:focus {
  color: #23527c;
  text-decoration: underline;
}
a:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
figure {
  margin: 0;
}
img {
  vertical-align: middle;
}
.img-responsive,
.thumbnail > img,
.thumbnail a > img,
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  display: block;
  max-width: 100%;
  height: auto;
}
.img-rounded {
  border-radius: 3px;
}
.img-thumbnail {
  padding: 4px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: all 0.2s ease-in-out;
  -o-transition: all 0.2s ease-in-out;
  transition: all 0.2s ease-in-out;
  display: inline-block;
  max-width: 100%;
  height: auto;
}
.img-circle {
  border-radius: 50%;
}
hr {
  margin-top: 18px;
  margin-bottom: 18px;
  border: 0;
  border-top: 1px solid #eeeeee;
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  margin: -1px;
  padding: 0;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
[role="button"] {
  cursor: pointer;
}
h1,
h2,
h3,
h4,
h5,
h6,
.h1,
.h2,
.h3,
.h4,
.h5,
.h6 {
  font-family: inherit;
  font-weight: 500;
  line-height: 1.1;
  color: inherit;
}
h1 small,
h2 small,
h3 small,
h4 small,
h5 small,
h6 small,
.h1 small,
.h2 small,
.h3 small,
.h4 small,
.h5 small,
.h6 small,
h1 .small,
h2 .small,
h3 .small,
h4 .small,
h5 .small,
h6 .small,
.h1 .small,
.h2 .small,
.h3 .small,
.h4 .small,
.h5 .small,
.h6 .small {
  font-weight: normal;
  line-height: 1;
  color: #777777;
}
h1,
.h1,
h2,
.h2,
h3,
.h3 {
  margin-top: 18px;
  margin-bottom: 9px;
}
h1 small,
.h1 small,
h2 small,
.h2 small,
h3 small,
.h3 small,
h1 .small,
.h1 .small,
h2 .small,
.h2 .small,
h3 .small,
.h3 .small {
  font-size: 65%;
}
h4,
.h4,
h5,
.h5,
h6,
.h6 {
  margin-top: 9px;
  margin-bottom: 9px;
}
h4 small,
.h4 small,
h5 small,
.h5 small,
h6 small,
.h6 small,
h4 .small,
.h4 .small,
h5 .small,
.h5 .small,
h6 .small,
.h6 .small {
  font-size: 75%;
}
h1,
.h1 {
  font-size: 33px;
}
h2,
.h2 {
  font-size: 27px;
}
h3,
.h3 {
  font-size: 23px;
}
h4,
.h4 {
  font-size: 17px;
}
h5,
.h5 {
  font-size: 13px;
}
h6,
.h6 {
  font-size: 12px;
}
p {
  margin: 0 0 9px;
}
.lead {
  margin-bottom: 18px;
  font-size: 14px;
  font-weight: 300;
  line-height: 1.4;
}
@media (min-width: 768px) {
  .lead {
    font-size: 19.5px;
  }
}
small,
.small {
  font-size: 92%;
}
mark,
.mark {
  background-color: #fcf8e3;
  padding: .2em;
}
.text-left {
  text-align: left;
}
.text-right {
  text-align: right;
}
.text-center {
  text-align: center;
}
.text-justify {
  text-align: justify;
}
.text-nowrap {
  white-space: nowrap;
}
.text-lowercase {
  text-transform: lowercase;
}
.text-uppercase {
  text-transform: uppercase;
}
.text-capitalize {
  text-transform: capitalize;
}
.text-muted {
  color: #777777;
}
.text-primary {
  color: #337ab7;
}
a.text-primary:hover,
a.text-primary:focus {
  color: #286090;
}
.text-success {
  color: #3c763d;
}
a.text-success:hover,
a.text-success:focus {
  color: #2b542c;
}
.text-info {
  color: #31708f;
}
a.text-info:hover,
a.text-info:focus {
  color: #245269;
}
.text-warning {
  color: #8a6d3b;
}
a.text-warning:hover,
a.text-warning:focus {
  color: #66512c;
}
.text-danger {
  color: #a94442;
}
a.text-danger:hover,
a.text-danger:focus {
  color: #843534;
}
.bg-primary {
  color: #fff;
  background-color: #337ab7;
}
a.bg-primary:hover,
a.bg-primary:focus {
  background-color: #286090;
}
.bg-success {
  background-color: #dff0d8;
}
a.bg-success:hover,
a.bg-success:focus {
  background-color: #c1e2b3;
}
.bg-info {
  background-color: #d9edf7;
}
a.bg-info:hover,
a.bg-info:focus {
  background-color: #afd9ee;
}
.bg-warning {
  background-color: #fcf8e3;
}
a.bg-warning:hover,
a.bg-warning:focus {
  background-color: #f7ecb5;
}
.bg-danger {
  background-color: #f2dede;
}
a.bg-danger:hover,
a.bg-danger:focus {
  background-color: #e4b9b9;
}
.page-header {
  padding-bottom: 8px;
  margin: 36px 0 18px;
  border-bottom: 1px solid #eeeeee;
}
ul,
ol {
  margin-top: 0;
  margin-bottom: 9px;
}
ul ul,
ol ul,
ul ol,
ol ol {
  margin-bottom: 0;
}
.list-unstyled {
  padding-left: 0;
  list-style: none;
}
.list-inline {
  padding-left: 0;
  list-style: none;
  margin-left: -5px;
}
.list-inline > li {
  display: inline-block;
  padding-left: 5px;
  padding-right: 5px;
}
dl {
  margin-top: 0;
  margin-bottom: 18px;
}
dt,
dd {
  line-height: 1.42857143;
}
dt {
  font-weight: bold;
}
dd {
  margin-left: 0;
}
@media (min-width: 541px) {
  .dl-horizontal dt {
    float: left;
    width: 160px;
    clear: left;
    text-align: right;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
  }
  .dl-horizontal dd {
    margin-left: 180px;
  }
}
abbr[title],
abbr[data-original-title] {
  cursor: help;
  border-bottom: 1px dotted #777777;
}
.initialism {
  font-size: 90%;
  text-transform: uppercase;
}
blockquote {
  padding: 9px 18px;
  margin: 0 0 18px;
  font-size: inherit;
  border-left: 5px solid #eeeeee;
}
blockquote p:last-child,
blockquote ul:last-child,
blockquote ol:last-child {
  margin-bottom: 0;
}
blockquote footer,
blockquote small,
blockquote .small {
  display: block;
  font-size: 80%;
  line-height: 1.42857143;
  color: #777777;
}
blockquote footer:before,
blockquote small:before,
blockquote .small:before {
  content: '\2014 \00A0';
}
.blockquote-reverse,
blockquote.pull-right {
  padding-right: 15px;
  padding-left: 0;
  border-right: 5px solid #eeeeee;
  border-left: 0;
  text-align: right;
}
.blockquote-reverse footer:before,
blockquote.pull-right footer:before,
.blockquote-reverse small:before,
blockquote.pull-right small:before,
.blockquote-reverse .small:before,
blockquote.pull-right .small:before {
  content: '';
}
.blockquote-reverse footer:after,
blockquote.pull-right footer:after,
.blockquote-reverse small:after,
blockquote.pull-right small:after,
.blockquote-reverse .small:after,
blockquote.pull-right .small:after {
  content: '\00A0 \2014';
}
address {
  margin-bottom: 18px;
  font-style: normal;
  line-height: 1.42857143;
}
code,
kbd,
pre,
samp {
  font-family: monospace;
}
code {
  padding: 2px 4px;
  font-size: 90%;
  color: #c7254e;
  background-color: #f9f2f4;
  border-radius: 2px;
}
kbd {
  padding: 2px 4px;
  font-size: 90%;
  color: #888;
  background-color: transparent;
  border-radius: 1px;
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
}
kbd kbd {
  padding: 0;
  font-size: 100%;
  font-weight: bold;
  box-shadow: none;
}
pre {
  display: block;
  padding: 8.5px;
  margin: 0 0 9px;
  font-size: 12px;
  line-height: 1.42857143;
  word-break: break-all;
  word-wrap: break-word;
  color: #333333;
  background-color: #f5f5f5;
  border: 1px solid #ccc;
  border-radius: 2px;
}
pre code {
  padding: 0;
  font-size: inherit;
  color: inherit;
  white-space: pre-wrap;
  background-color: transparent;
  border-radius: 0;
}
.pre-scrollable {
  max-height: 340px;
  overflow-y: scroll;
}
.container {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
@media (min-width: 768px) {
  .container {
    width: 768px;
  }
}
@media (min-width: 992px) {
  .container {
    width: 940px;
  }
}
@media (min-width: 1200px) {
  .container {
    width: 1140px;
  }
}
.container-fluid {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
.row {
  margin-left: 0px;
  margin-right: 0px;
}
.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {
  position: relative;
  min-height: 1px;
  padding-left: 0px;
  padding-right: 0px;
}
.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {
  float: left;
}
.col-xs-12 {
  width: 100%;
}
.col-xs-11 {
  width: 91.66666667%;
}
.col-xs-10 {
  width: 83.33333333%;
}
.col-xs-9 {
  width: 75%;
}
.col-xs-8 {
  width: 66.66666667%;
}
.col-xs-7 {
  width: 58.33333333%;
}
.col-xs-6 {
  width: 50%;
}
.col-xs-5 {
  width: 41.66666667%;
}
.col-xs-4 {
  width: 33.33333333%;
}
.col-xs-3 {
  width: 25%;
}
.col-xs-2 {
  width: 16.66666667%;
}
.col-xs-1 {
  width: 8.33333333%;
}
.col-xs-pull-12 {
  right: 100%;
}
.col-xs-pull-11 {
  right: 91.66666667%;
}
.col-xs-pull-10 {
  right: 83.33333333%;
}
.col-xs-pull-9 {
  right: 75%;
}
.col-xs-pull-8 {
  right: 66.66666667%;
}
.col-xs-pull-7 {
  right: 58.33333333%;
}
.col-xs-pull-6 {
  right: 50%;
}
.col-xs-pull-5 {
  right: 41.66666667%;
}
.col-xs-pull-4 {
  right: 33.33333333%;
}
.col-xs-pull-3 {
  right: 25%;
}
.col-xs-pull-2 {
  right: 16.66666667%;
}
.col-xs-pull-1 {
  right: 8.33333333%;
}
.col-xs-pull-0 {
  right: auto;
}
.col-xs-push-12 {
  left: 100%;
}
.col-xs-push-11 {
  left: 91.66666667%;
}
.col-xs-push-10 {
  left: 83.33333333%;
}
.col-xs-push-9 {
  left: 75%;
}
.col-xs-push-8 {
  left: 66.66666667%;
}
.col-xs-push-7 {
  left: 58.33333333%;
}
.col-xs-push-6 {
  left: 50%;
}
.col-xs-push-5 {
  left: 41.66666667%;
}
.col-xs-push-4 {
  left: 33.33333333%;
}
.col-xs-push-3 {
  left: 25%;
}
.col-xs-push-2 {
  left: 16.66666667%;
}
.col-xs-push-1 {
  left: 8.33333333%;
}
.col-xs-push-0 {
  left: auto;
}
.col-xs-offset-12 {
  margin-left: 100%;
}
.col-xs-offset-11 {
  margin-left: 91.66666667%;
}
.col-xs-offset-10 {
  margin-left: 83.33333333%;
}
.col-xs-offset-9 {
  margin-left: 75%;
}
.col-xs-offset-8 {
  margin-left: 66.66666667%;
}
.col-xs-offset-7 {
  margin-left: 58.33333333%;
}
.col-xs-offset-6 {
  margin-left: 50%;
}
.col-xs-offset-5 {
  margin-left: 41.66666667%;
}
.col-xs-offset-4 {
  margin-left: 33.33333333%;
}
.col-xs-offset-3 {
  margin-left: 25%;
}
.col-xs-offset-2 {
  margin-left: 16.66666667%;
}
.col-xs-offset-1 {
  margin-left: 8.33333333%;
}
.col-xs-offset-0 {
  margin-left: 0%;
}
@media (min-width: 768px) {
  .col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
    float: left;
  }
  .col-sm-12 {
    width: 100%;
  }
  .col-sm-11 {
    width: 91.66666667%;
  }
  .col-sm-10 {
    width: 83.33333333%;
  }
  .col-sm-9 {
    width: 75%;
  }
  .col-sm-8 {
    width: 66.66666667%;
  }
  .col-sm-7 {
    width: 58.33333333%;
  }
  .col-sm-6 {
    width: 50%;
  }
  .col-sm-5 {
    width: 41.66666667%;
  }
  .col-sm-4 {
    width: 33.33333333%;
  }
  .col-sm-3 {
    width: 25%;
  }
  .col-sm-2 {
    width: 16.66666667%;
  }
  .col-sm-1 {
    width: 8.33333333%;
  }
  .col-sm-pull-12 {
    right: 100%;
  }
  .col-sm-pull-11 {
    right: 91.66666667%;
  }
  .col-sm-pull-10 {
    right: 83.33333333%;
  }
  .col-sm-pull-9 {
    right: 75%;
  }
  .col-sm-pull-8 {
    right: 66.66666667%;
  }
  .col-sm-pull-7 {
    right: 58.33333333%;
  }
  .col-sm-pull-6 {
    right: 50%;
  }
  .col-sm-pull-5 {
    right: 41.66666667%;
  }
  .col-sm-pull-4 {
    right: 33.33333333%;
  }
  .col-sm-pull-3 {
    right: 25%;
  }
  .col-sm-pull-2 {
    right: 16.66666667%;
  }
  .col-sm-pull-1 {
    right: 8.33333333%;
  }
  .col-sm-pull-0 {
    right: auto;
  }
  .col-sm-push-12 {
    left: 100%;
  }
  .col-sm-push-11 {
    left: 91.66666667%;
  }
  .col-sm-push-10 {
    left: 83.33333333%;
  }
  .col-sm-push-9 {
    left: 75%;
  }
  .col-sm-push-8 {
    left: 66.66666667%;
  }
  .col-sm-push-7 {
    left: 58.33333333%;
  }
  .col-sm-push-6 {
    left: 50%;
  }
  .col-sm-push-5 {
    left: 41.66666667%;
  }
  .col-sm-push-4 {
    left: 33.33333333%;
  }
  .col-sm-push-3 {
    left: 25%;
  }
  .col-sm-push-2 {
    left: 16.66666667%;
  }
  .col-sm-push-1 {
    left: 8.33333333%;
  }
  .col-sm-push-0 {
    left: auto;
  }
  .col-sm-offset-12 {
    margin-left: 100%;
  }
  .col-sm-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-sm-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-sm-offset-9 {
    margin-left: 75%;
  }
  .col-sm-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-sm-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-sm-offset-6 {
    margin-left: 50%;
  }
  .col-sm-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-sm-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-sm-offset-3 {
    margin-left: 25%;
  }
  .col-sm-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-sm-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-sm-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 992px) {
  .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
    float: left;
  }
  .col-md-12 {
    width: 100%;
  }
  .col-md-11 {
    width: 91.66666667%;
  }
  .col-md-10 {
    width: 83.33333333%;
  }
  .col-md-9 {
    width: 75%;
  }
  .col-md-8 {
    width: 66.66666667%;
  }
  .col-md-7 {
    width: 58.33333333%;
  }
  .col-md-6 {
    width: 50%;
  }
  .col-md-5 {
    width: 41.66666667%;
  }
  .col-md-4 {
    width: 33.33333333%;
  }
  .col-md-3 {
    width: 25%;
  }
  .col-md-2 {
    width: 16.66666667%;
  }
  .col-md-1 {
    width: 8.33333333%;
  }
  .col-md-pull-12 {
    right: 100%;
  }
  .col-md-pull-11 {
    right: 91.66666667%;
  }
  .col-md-pull-10 {
    right: 83.33333333%;
  }
  .col-md-pull-9 {
    right: 75%;
  }
  .col-md-pull-8 {
    right: 66.66666667%;
  }
  .col-md-pull-7 {
    right: 58.33333333%;
  }
  .col-md-pull-6 {
    right: 50%;
  }
  .col-md-pull-5 {
    right: 41.66666667%;
  }
  .col-md-pull-4 {
    right: 33.33333333%;
  }
  .col-md-pull-3 {
    right: 25%;
  }
  .col-md-pull-2 {
    right: 16.66666667%;
  }
  .col-md-pull-1 {
    right: 8.33333333%;
  }
  .col-md-pull-0 {
    right: auto;
  }
  .col-md-push-12 {
    left: 100%;
  }
  .col-md-push-11 {
    left: 91.66666667%;
  }
  .col-md-push-10 {
    left: 83.33333333%;
  }
  .col-md-push-9 {
    left: 75%;
  }
  .col-md-push-8 {
    left: 66.66666667%;
  }
  .col-md-push-7 {
    left: 58.33333333%;
  }
  .col-md-push-6 {
    left: 50%;
  }
  .col-md-push-5 {
    left: 41.66666667%;
  }
  .col-md-push-4 {
    left: 33.33333333%;
  }
  .col-md-push-3 {
    left: 25%;
  }
  .col-md-push-2 {
    left: 16.66666667%;
  }
  .col-md-push-1 {
    left: 8.33333333%;
  }
  .col-md-push-0 {
    left: auto;
  }
  .col-md-offset-12 {
    margin-left: 100%;
  }
  .col-md-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-md-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-md-offset-9 {
    margin-left: 75%;
  }
  .col-md-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-md-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-md-offset-6 {
    margin-left: 50%;
  }
  .col-md-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-md-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-md-offset-3 {
    margin-left: 25%;
  }
  .col-md-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-md-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-md-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 1200px) {
  .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
    float: left;
  }
  .col-lg-12 {
    width: 100%;
  }
  .col-lg-11 {
    width: 91.66666667%;
  }
  .col-lg-10 {
    width: 83.33333333%;
  }
  .col-lg-9 {
    width: 75%;
  }
  .col-lg-8 {
    width: 66.66666667%;
  }
  .col-lg-7 {
    width: 58.33333333%;
  }
  .col-lg-6 {
    width: 50%;
  }
  .col-lg-5 {
    width: 41.66666667%;
  }
  .col-lg-4 {
    width: 33.33333333%;
  }
  .col-lg-3 {
    width: 25%;
  }
  .col-lg-2 {
    width: 16.66666667%;
  }
  .col-lg-1 {
    width: 8.33333333%;
  }
  .col-lg-pull-12 {
    right: 100%;
  }
  .col-lg-pull-11 {
    right: 91.66666667%;
  }
  .col-lg-pull-10 {
    right: 83.33333333%;
  }
  .col-lg-pull-9 {
    right: 75%;
  }
  .col-lg-pull-8 {
    right: 66.66666667%;
  }
  .col-lg-pull-7 {
    right: 58.33333333%;
  }
  .col-lg-pull-6 {
    right: 50%;
  }
  .col-lg-pull-5 {
    right: 41.66666667%;
  }
  .col-lg-pull-4 {
    right: 33.33333333%;
  }
  .col-lg-pull-3 {
    right: 25%;
  }
  .col-lg-pull-2 {
    right: 16.66666667%;
  }
  .col-lg-pull-1 {
    right: 8.33333333%;
  }
  .col-lg-pull-0 {
    right: auto;
  }
  .col-lg-push-12 {
    left: 100%;
  }
  .col-lg-push-11 {
    left: 91.66666667%;
  }
  .col-lg-push-10 {
    left: 83.33333333%;
  }
  .col-lg-push-9 {
    left: 75%;
  }
  .col-lg-push-8 {
    left: 66.66666667%;
  }
  .col-lg-push-7 {
    left: 58.33333333%;
  }
  .col-lg-push-6 {
    left: 50%;
  }
  .col-lg-push-5 {
    left: 41.66666667%;
  }
  .col-lg-push-4 {
    left: 33.33333333%;
  }
  .col-lg-push-3 {
    left: 25%;
  }
  .col-lg-push-2 {
    left: 16.66666667%;
  }
  .col-lg-push-1 {
    left: 8.33333333%;
  }
  .col-lg-push-0 {
    left: auto;
  }
  .col-lg-offset-12 {
    margin-left: 100%;
  }
  .col-lg-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-lg-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-lg-offset-9 {
    margin-left: 75%;
  }
  .col-lg-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-lg-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-lg-offset-6 {
    margin-left: 50%;
  }
  .col-lg-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-lg-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-lg-offset-3 {
    margin-left: 25%;
  }
  .col-lg-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-lg-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-lg-offset-0 {
    margin-left: 0%;
  }
}
table {
  background-color: transparent;
}
caption {
  padding-top: 8px;
  padding-bottom: 8px;
  color: #777777;
  text-align: left;
}
th {
  text-align: left;
}
.table {
  width: 100%;
  max-width: 100%;
  margin-bottom: 18px;
}
.table > thead > tr > th,
.table > tbody > tr > th,
.table > tfoot > tr > th,
.table > thead > tr > td,
.table > tbody > tr > td,
.table > tfoot > tr > td {
  padding: 8px;
  line-height: 1.42857143;
  vertical-align: top;
  border-top: 1px solid #ddd;
}
.table > thead > tr > th {
  vertical-align: bottom;
  border-bottom: 2px solid #ddd;
}
.table > caption + thead > tr:first-child > th,
.table > colgroup + thead > tr:first-child > th,
.table > thead:first-child > tr:first-child > th,
.table > caption + thead > tr:first-child > td,
.table > colgroup + thead > tr:first-child > td,
.table > thead:first-child > tr:first-child > td {
  border-top: 0;
}
.table > tbody + tbody {
  border-top: 2px solid #ddd;
}
.table .table {
  background-color: #fff;
}
.table-condensed > thead > tr > th,
.table-condensed > tbody > tr > th,
.table-condensed > tfoot > tr > th,
.table-condensed > thead > tr > td,
.table-condensed > tbody > tr > td,
.table-condensed > tfoot > tr > td {
  padding: 5px;
}
.table-bordered {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > tbody > tr > th,
.table-bordered > tfoot > tr > th,
.table-bordered > thead > tr > td,
.table-bordered > tbody > tr > td,
.table-bordered > tfoot > tr > td {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > thead > tr > td {
  border-bottom-width: 2px;
}
.table-striped > tbody > tr:nth-of-type(odd) {
  background-color: #f9f9f9;
}
.table-hover > tbody > tr:hover {
  background-color: #f5f5f5;
}
table col[class*="col-"] {
  position: static;
  float: none;
  display: table-column;
}
table td[class*="col-"],
table th[class*="col-"] {
  position: static;
  float: none;
  display: table-cell;
}
.table > thead > tr > td.active,
.table > tbody > tr > td.active,
.table > tfoot > tr > td.active,
.table > thead > tr > th.active,
.table > tbody > tr > th.active,
.table > tfoot > tr > th.active,
.table > thead > tr.active > td,
.table > tbody > tr.active > td,
.table > tfoot > tr.active > td,
.table > thead > tr.active > th,
.table > tbody > tr.active > th,
.table > tfoot > tr.active > th {
  background-color: #f5f5f5;
}
.table-hover > tbody > tr > td.active:hover,
.table-hover > tbody > tr > th.active:hover,
.table-hover > tbody > tr.active:hover > td,
.table-hover > tbody > tr:hover > .active,
.table-hover > tbody > tr.active:hover > th {
  background-color: #e8e8e8;
}
.table > thead > tr > td.success,
.table > tbody > tr > td.success,
.table > tfoot > tr > td.success,
.table > thead > tr > th.success,
.table > tbody > tr > th.success,
.table > tfoot > tr > th.success,
.table > thead > tr.success > td,
.table > tbody > tr.success > td,
.table > tfoot > tr.success > td,
.table > thead > tr.success > th,
.table > tbody > tr.success > th,
.table > tfoot > tr.success > th {
  background-color: #dff0d8;
}
.table-hover > tbody > tr > td.success:hover,
.table-hover > tbody > tr > th.success:hover,
.table-hover > tbody > tr.success:hover > td,
.table-hover > tbody > tr:hover > .success,
.table-hover > tbody > tr.success:hover > th {
  background-color: #d0e9c6;
}
.table > thead > tr > td.info,
.table > tbody > tr > td.info,
.table > tfoot > tr > td.info,
.table > thead > tr > th.info,
.table > tbody > tr > th.info,
.table > tfoot > tr > th.info,
.table > thead > tr.info > td,
.table > tbody > tr.info > td,
.table > tfoot > tr.info > td,
.table > thead > tr.info > th,
.table > tbody > tr.info > th,
.table > tfoot > tr.info > th {
  background-color: #d9edf7;
}
.table-hover > tbody > tr > td.info:hover,
.table-hover > tbody > tr > th.info:hover,
.table-hover > tbody > tr.info:hover > td,
.table-hover > tbody > tr:hover > .info,
.table-hover > tbody > tr.info:hover > th {
  background-color: #c4e3f3;
}
.table > thead > tr > td.warning,
.table > tbody > tr > td.warning,
.table > tfoot > tr > td.warning,
.table > thead > tr > th.warning,
.table > tbody > tr > th.warning,
.table > tfoot > tr > th.warning,
.table > thead > tr.warning > td,
.table > tbody > tr.warning > td,
.table > tfoot > tr.warning > td,
.table > thead > tr.warning > th,
.table > tbody > tr.warning > th,
.table > tfoot > tr.warning > th {
  background-color: #fcf8e3;
}
.table-hover > tbody > tr > td.warning:hover,
.table-hover > tbody > tr > th.warning:hover,
.table-hover > tbody > tr.warning:hover > td,
.table-hover > tbody > tr:hover > .warning,
.table-hover > tbody > tr.warning:hover > th {
  background-color: #faf2cc;
}
.table > thead > tr > td.danger,
.table > tbody > tr > td.danger,
.table > tfoot > tr > td.danger,
.table > thead > tr > th.danger,
.table > tbody > tr > th.danger,
.table > tfoot > tr > th.danger,
.table > thead > tr.danger > td,
.table > tbody > tr.danger > td,
.table > tfoot > tr.danger > td,
.table > thead > tr.danger > th,
.table > tbody > tr.danger > th,
.table > tfoot > tr.danger > th {
  background-color: #f2dede;
}
.table-hover > tbody > tr > td.danger:hover,
.table-hover > tbody > tr > th.danger:hover,
.table-hover > tbody > tr.danger:hover > td,
.table-hover > tbody > tr:hover > .danger,
.table-hover > tbody > tr.danger:hover > th {
  background-color: #ebcccc;
}
.table-responsive {
  overflow-x: auto;
  min-height: 0.01%;
}
@media screen and (max-width: 767px) {
  .table-responsive {
    width: 100%;
    margin-bottom: 13.5px;
    overflow-y: hidden;
    -ms-overflow-style: -ms-autohiding-scrollbar;
    border: 1px solid #ddd;
  }
  .table-responsive > .table {
    margin-bottom: 0;
  }
  .table-responsive > .table > thead > tr > th,
  .table-responsive > .table > tbody > tr > th,
  .table-responsive > .table > tfoot > tr > th,
  .table-responsive > .table > thead > tr > td,
  .table-responsive > .table > tbody > tr > td,
  .table-responsive > .table > tfoot > tr > td {
    white-space: nowrap;
  }
  .table-responsive > .table-bordered {
    border: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:first-child,
  .table-responsive > .table-bordered > tbody > tr > th:first-child,
  .table-responsive > .table-bordered > tfoot > tr > th:first-child,
  .table-responsive > .table-bordered > thead > tr > td:first-child,
  .table-responsive > .table-bordered > tbody > tr > td:first-child,
  .table-responsive > .table-bordered > tfoot > tr > td:first-child {
    border-left: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:last-child,
  .table-responsive > .table-bordered > tbody > tr > th:last-child,
  .table-responsive > .table-bordered > tfoot > tr > th:last-child,
  .table-responsive > .table-bordered > thead > tr > td:last-child,
  .table-responsive > .table-bordered > tbody > tr > td:last-child,
  .table-responsive > .table-bordered > tfoot > tr > td:last-child {
    border-right: 0;
  }
  .table-responsive > .table-bordered > tbody > tr:last-child > th,
  .table-responsive > .table-bordered > tfoot > tr:last-child > th,
  .table-responsive > .table-bordered > tbody > tr:last-child > td,
  .table-responsive > .table-bordered > tfoot > tr:last-child > td {
    border-bottom: 0;
  }
}
fieldset {
  padding: 0;
  margin: 0;
  border: 0;
  min-width: 0;
}
legend {
  display: block;
  width: 100%;
  padding: 0;
  margin-bottom: 18px;
  font-size: 19.5px;
  line-height: inherit;
  color: #333333;
  border: 0;
  border-bottom: 1px solid #e5e5e5;
}
label {
  display: inline-block;
  max-width: 100%;
  margin-bottom: 5px;
  font-weight: bold;
}
input[type="search"] {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
input[type="radio"],
input[type="checkbox"] {
  margin: 4px 0 0;
  margin-top: 1px \9;
  line-height: normal;
}
input[type="file"] {
  display: block;
}
input[type="range"] {
  display: block;
  width: 100%;
}
select[multiple],
select[size] {
  height: auto;
}
input[type="file"]:focus,
input[type="radio"]:focus,
input[type="checkbox"]:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
output {
  display: block;
  padding-top: 7px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
}
.form-control {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
}
.form-control:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.form-control::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.form-control:-ms-input-placeholder {
  color: #999;
}
.form-control::-webkit-input-placeholder {
  color: #999;
}
.form-control::-ms-expand {
  border: 0;
  background-color: transparent;
}
.form-control[disabled],
.form-control[readonly],
fieldset[disabled] .form-control {
  background-color: #eeeeee;
  opacity: 1;
}
.form-control[disabled],
fieldset[disabled] .form-control {
  cursor: not-allowed;
}
textarea.form-control {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: none;
}
@media screen and (-webkit-min-device-pixel-ratio: 0) {
  input[type="date"].form-control,
  input[type="time"].form-control,
  input[type="datetime-local"].form-control,
  input[type="month"].form-control {
    line-height: 32px;
  }
  input[type="date"].input-sm,
  input[type="time"].input-sm,
  input[type="datetime-local"].input-sm,
  input[type="month"].input-sm,
  .input-group-sm input[type="date"],
  .input-group-sm input[type="time"],
  .input-group-sm input[type="datetime-local"],
  .input-group-sm input[type="month"] {
    line-height: 30px;
  }
  input[type="date"].input-lg,
  input[type="time"].input-lg,
  input[type="datetime-local"].input-lg,
  input[type="month"].input-lg,
  .input-group-lg input[type="date"],
  .input-group-lg input[type="time"],
  .input-group-lg input[type="datetime-local"],
  .input-group-lg input[type="month"] {
    line-height: 45px;
  }
}
.form-group {
  margin-bottom: 15px;
}
.radio,
.checkbox {
  position: relative;
  display: block;
  margin-top: 10px;
  margin-bottom: 10px;
}
.radio label,
.checkbox label {
  min-height: 18px;
  padding-left: 20px;
  margin-bottom: 0;
  font-weight: normal;
  cursor: pointer;
}
.radio input[type="radio"],
.radio-inline input[type="radio"],
.checkbox input[type="checkbox"],
.checkbox-inline input[type="checkbox"] {
  position: absolute;
  margin-left: -20px;
  margin-top: 4px \9;
}
.radio + .radio,
.checkbox + .checkbox {
  margin-top: -5px;
}
.radio-inline,
.checkbox-inline {
  position: relative;
  display: inline-block;
  padding-left: 20px;
  margin-bottom: 0;
  vertical-align: middle;
  font-weight: normal;
  cursor: pointer;
}
.radio-inline + .radio-inline,
.checkbox-inline + .checkbox-inline {
  margin-top: 0;
  margin-left: 10px;
}
input[type="radio"][disabled],
input[type="checkbox"][disabled],
input[type="radio"].disabled,
input[type="checkbox"].disabled,
fieldset[disabled] input[type="radio"],
fieldset[disabled] input[type="checkbox"] {
  cursor: not-allowed;
}
.radio-inline.disabled,
.checkbox-inline.disabled,
fieldset[disabled] .radio-inline,
fieldset[disabled] .checkbox-inline {
  cursor: not-allowed;
}
.radio.disabled label,
.checkbox.disabled label,
fieldset[disabled] .radio label,
fieldset[disabled] .checkbox label {
  cursor: not-allowed;
}
.form-control-static {
  padding-top: 7px;
  padding-bottom: 7px;
  margin-bottom: 0;
  min-height: 31px;
}
.form-control-static.input-lg,
.form-control-static.input-sm {
  padding-left: 0;
  padding-right: 0;
}
.input-sm {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-sm {
  height: 30px;
  line-height: 30px;
}
textarea.input-sm,
select[multiple].input-sm {
  height: auto;
}
.form-group-sm .form-control {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.form-group-sm select.form-control {
  height: 30px;
  line-height: 30px;
}
.form-group-sm textarea.form-control,
.form-group-sm select[multiple].form-control {
  height: auto;
}
.form-group-sm .form-control-static {
  height: 30px;
  min-height: 30px;
  padding: 6px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.input-lg {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-lg {
  height: 45px;
  line-height: 45px;
}
textarea.input-lg,
select[multiple].input-lg {
  height: auto;
}
.form-group-lg .form-control {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.form-group-lg select.form-control {
  height: 45px;
  line-height: 45px;
}
.form-group-lg textarea.form-control,
.form-group-lg select[multiple].form-control {
  height: auto;
}
.form-group-lg .form-control-static {
  height: 45px;
  min-height: 35px;
  padding: 11px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.has-feedback {
  position: relative;
}
.has-feedback .form-control {
  padding-right: 40px;
}
.form-control-feedback {
  position: absolute;
  top: 0;
  right: 0;
  z-index: 2;
  display: block;
  width: 32px;
  height: 32px;
  line-height: 32px;
  text-align: center;
  pointer-events: none;
}
.input-lg + .form-control-feedback,
.input-group-lg + .form-control-feedback,
.form-group-lg .form-control + .form-control-feedback {
  width: 45px;
  height: 45px;
  line-height: 45px;
}
.input-sm + .form-control-feedback,
.input-group-sm + .form-control-feedback,
.form-group-sm .form-control + .form-control-feedback {
  width: 30px;
  height: 30px;
  line-height: 30px;
}
.has-success .help-block,
.has-success .control-label,
.has-success .radio,
.has-success .checkbox,
.has-success .radio-inline,
.has-success .checkbox-inline,
.has-success.radio label,
.has-success.checkbox label,
.has-success.radio-inline label,
.has-success.checkbox-inline label {
  color: #3c763d;
}
.has-success .form-control {
  border-color: #3c763d;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-success .form-control:focus {
  border-color: #2b542c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
}
.has-success .input-group-addon {
  color: #3c763d;
  border-color: #3c763d;
  background-color: #dff0d8;
}
.has-success .form-control-feedback {
  color: #3c763d;
}
.has-warning .help-block,
.has-warning .control-label,
.has-warning .radio,
.has-warning .checkbox,
.has-warning .radio-inline,
.has-warning .checkbox-inline,
.has-warning.radio label,
.has-warning.checkbox label,
.has-warning.radio-inline label,
.has-warning.checkbox-inline label {
  color: #8a6d3b;
}
.has-warning .form-control {
  border-color: #8a6d3b;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-warning .form-control:focus {
  border-color: #66512c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
}
.has-warning .input-group-addon {
  color: #8a6d3b;
  border-color: #8a6d3b;
  background-color: #fcf8e3;
}
.has-warning .form-control-feedback {
  color: #8a6d3b;
}
.has-error .help-block,
.has-error .control-label,
.has-error .radio,
.has-error .checkbox,
.has-error .radio-inline,
.has-error .checkbox-inline,
.has-error.radio label,
.has-error.checkbox label,
.has-error.radio-inline label,
.has-error.checkbox-inline label {
  color: #a94442;
}
.has-error .form-control {
  border-color: #a94442;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-error .form-control:focus {
  border-color: #843534;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
}
.has-error .input-group-addon {
  color: #a94442;
  border-color: #a94442;
  background-color: #f2dede;
}
.has-error .form-control-feedback {
  color: #a94442;
}
.has-feedback label ~ .form-control-feedback {
  top: 23px;
}
.has-feedback label.sr-only ~ .form-control-feedback {
  top: 0;
}
.help-block {
  display: block;
  margin-top: 5px;
  margin-bottom: 10px;
  color: #404040;
}
@media (min-width: 768px) {
  .form-inline .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .form-inline .form-control-static {
    display: inline-block;
  }
  .form-inline .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .form-inline .input-group .input-group-addon,
  .form-inline .input-group .input-group-btn,
  .form-inline .input-group .form-control {
    width: auto;
  }
  .form-inline .input-group > .form-control {
    width: 100%;
  }
  .form-inline .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio,
  .form-inline .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio label,
  .form-inline .checkbox label {
    padding-left: 0;
  }
  .form-inline .radio input[type="radio"],
  .form-inline .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .form-inline .has-feedback .form-control-feedback {
    top: 0;
  }
}
.form-horizontal .radio,
.form-horizontal .checkbox,
.form-horizontal .radio-inline,
.form-horizontal .checkbox-inline {
  margin-top: 0;
  margin-bottom: 0;
  padding-top: 7px;
}
.form-horizontal .radio,
.form-horizontal .checkbox {
  min-height: 25px;
}
.form-horizontal .form-group {
  margin-left: 0px;
  margin-right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .control-label {
    text-align: right;
    margin-bottom: 0;
    padding-top: 7px;
  }
}
.form-horizontal .has-feedback .form-control-feedback {
  right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .form-group-lg .control-label {
    padding-top: 11px;
    font-size: 17px;
  }
}
@media (min-width: 768px) {
  .form-horizontal .form-group-sm .control-label {
    padding-top: 6px;
    font-size: 12px;
  }
}
.btn {
  display: inline-block;
  margin-bottom: 0;
  font-weight: normal;
  text-align: center;
  vertical-align: middle;
  touch-action: manipulation;
  cursor: pointer;
  background-image: none;
  border: 1px solid transparent;
  white-space: nowrap;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  border-radius: 2px;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}
.btn:focus,
.btn:active:focus,
.btn.active:focus,
.btn.focus,
.btn:active.focus,
.btn.active.focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
.btn:hover,
.btn:focus,
.btn.focus {
  color: #333;
  text-decoration: none;
}
.btn:active,
.btn.active {
  outline: 0;
  background-image: none;
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn.disabled,
.btn[disabled],
fieldset[disabled] .btn {
  cursor: not-allowed;
  opacity: 0.65;
  filter: alpha(opacity=65);
  -webkit-box-shadow: none;
  box-shadow: none;
}
a.btn.disabled,
fieldset[disabled] a.btn {
  pointer-events: none;
}
.btn-default {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.btn-default:focus,
.btn-default.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.btn-default:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active:hover,
.btn-default.active:hover,
.open > .dropdown-toggle.btn-default:hover,
.btn-default:active:focus,
.btn-default.active:focus,
.open > .dropdown-toggle.btn-default:focus,
.btn-default:active.focus,
.btn-default.active.focus,
.open > .dropdown-toggle.btn-default.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  background-image: none;
}
.btn-default.disabled:hover,
.btn-default[disabled]:hover,
fieldset[disabled] .btn-default:hover,
.btn-default.disabled:focus,
.btn-default[disabled]:focus,
fieldset[disabled] .btn-default:focus,
.btn-default.disabled.focus,
.btn-default[disabled].focus,
fieldset[disabled] .btn-default.focus {
  background-color: #fff;
  border-color: #ccc;
}
.btn-default .badge {
  color: #fff;
  background-color: #333;
}
.btn-primary {
  color: #fff;
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary:focus,
.btn-primary.focus {
  color: #fff;
  background-color: #286090;
  border-color: #122b40;
}
.btn-primary:hover {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active:hover,
.btn-primary.active:hover,
.open > .dropdown-toggle.btn-primary:hover,
.btn-primary:active:focus,
.btn-primary.active:focus,
.open > .dropdown-toggle.btn-primary:focus,
.btn-primary:active.focus,
.btn-primary.active.focus,
.open > .dropdown-toggle.btn-primary.focus {
  color: #fff;
  background-color: #204d74;
  border-color: #122b40;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  background-image: none;
}
.btn-primary.disabled:hover,
.btn-primary[disabled]:hover,
fieldset[disabled] .btn-primary:hover,
.btn-primary.disabled:focus,
.btn-primary[disabled]:focus,
fieldset[disabled] .btn-primary:focus,
.btn-primary.disabled.focus,
.btn-primary[disabled].focus,
fieldset[disabled] .btn-primary.focus {
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary .badge {
  color: #337ab7;
  background-color: #fff;
}
.btn-success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success:focus,
.btn-success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.btn-success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active:hover,
.btn-success.active:hover,
.open > .dropdown-toggle.btn-success:hover,
.btn-success:active:focus,
.btn-success.active:focus,
.open > .dropdown-toggle.btn-success:focus,
.btn-success:active.focus,
.btn-success.active.focus,
.open > .dropdown-toggle.btn-success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  background-image: none;
}
.btn-success.disabled:hover,
.btn-success[disabled]:hover,
fieldset[disabled] .btn-success:hover,
.btn-success.disabled:focus,
.btn-success[disabled]:focus,
fieldset[disabled] .btn-success:focus,
.btn-success.disabled.focus,
.btn-success[disabled].focus,
fieldset[disabled] .btn-success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.btn-info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info:focus,
.btn-info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.btn-info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active:hover,
.btn-info.active:hover,
.open > .dropdown-toggle.btn-info:hover,
.btn-info:active:focus,
.btn-info.active:focus,
.open > .dropdown-toggle.btn-info:focus,
.btn-info:active.focus,
.btn-info.active.focus,
.open > .dropdown-toggle.btn-info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  background-image: none;
}
.btn-info.disabled:hover,
.btn-info[disabled]:hover,
fieldset[disabled] .btn-info:hover,
.btn-info.disabled:focus,
.btn-info[disabled]:focus,
fieldset[disabled] .btn-info:focus,
.btn-info.disabled.focus,
.btn-info[disabled].focus,
fieldset[disabled] .btn-info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.btn-warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning:focus,
.btn-warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.btn-warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active:hover,
.btn-warning.active:hover,
.open > .dropdown-toggle.btn-warning:hover,
.btn-warning:active:focus,
.btn-warning.active:focus,
.open > .dropdown-toggle.btn-warning:focus,
.btn-warning:active.focus,
.btn-warning.active.focus,
.open > .dropdown-toggle.btn-warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  background-image: none;
}
.btn-warning.disabled:hover,
.btn-warning[disabled]:hover,
fieldset[disabled] .btn-warning:hover,
.btn-warning.disabled:focus,
.btn-warning[disabled]:focus,
fieldset[disabled] .btn-warning:focus,
.btn-warning.disabled.focus,
.btn-warning[disabled].focus,
fieldset[disabled] .btn-warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.btn-danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger:focus,
.btn-danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.btn-danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active:hover,
.btn-danger.active:hover,
.open > .dropdown-toggle.btn-danger:hover,
.btn-danger:active:focus,
.btn-danger.active:focus,
.open > .dropdown-toggle.btn-danger:focus,
.btn-danger:active.focus,
.btn-danger.active.focus,
.open > .dropdown-toggle.btn-danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  background-image: none;
}
.btn-danger.disabled:hover,
.btn-danger[disabled]:hover,
fieldset[disabled] .btn-danger:hover,
.btn-danger.disabled:focus,
.btn-danger[disabled]:focus,
fieldset[disabled] .btn-danger:focus,
.btn-danger.disabled.focus,
.btn-danger[disabled].focus,
fieldset[disabled] .btn-danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger .badge {
  color: #d9534f;
  background-color: #fff;
}
.btn-link {
  color: #337ab7;
  font-weight: normal;
  border-radius: 0;
}
.btn-link,
.btn-link:active,
.btn-link.active,
.btn-link[disabled],
fieldset[disabled] .btn-link {
  background-color: transparent;
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn-link,
.btn-link:hover,
.btn-link:focus,
.btn-link:active {
  border-color: transparent;
}
.btn-link:hover,
.btn-link:focus {
  color: #23527c;
  text-decoration: underline;
  background-color: transparent;
}
.btn-link[disabled]:hover,
fieldset[disabled] .btn-link:hover,
.btn-link[disabled]:focus,
fieldset[disabled] .btn-link:focus {
  color: #777777;
  text-decoration: none;
}
.btn-lg,
.btn-group-lg > .btn {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.btn-sm,
.btn-group-sm > .btn {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-xs,
.btn-group-xs > .btn {
  padding: 1px 5px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-block {
  display: block;
  width: 100%;
}
.btn-block + .btn-block {
  margin-top: 5px;
}
input[type="submit"].btn-block,
input[type="reset"].btn-block,
input[type="button"].btn-block {
  width: 100%;
}
.fade {
  opacity: 0;
  -webkit-transition: opacity 0.15s linear;
  -o-transition: opacity 0.15s linear;
  transition: opacity 0.15s linear;
}
.fade.in {
  opacity: 1;
}
.collapse {
  display: none;
}
.collapse.in {
  display: block;
}
tr.collapse.in {
  display: table-row;
}
tbody.collapse.in {
  display: table-row-group;
}
.collapsing {
  position: relative;
  height: 0;
  overflow: hidden;
  -webkit-transition-property: height, visibility;
  transition-property: height, visibility;
  -webkit-transition-duration: 0.35s;
  transition-duration: 0.35s;
  -webkit-transition-timing-function: ease;
  transition-timing-function: ease;
}
.caret {
  display: inline-block;
  width: 0;
  height: 0;
  margin-left: 2px;
  vertical-align: middle;
  border-top: 4px dashed;
  border-top: 4px solid \9;
  border-right: 4px solid transparent;
  border-left: 4px solid transparent;
}
.dropup,
.dropdown {
  position: relative;
}
.dropdown-toggle:focus {
  outline: 0;
}
.dropdown-menu {
  position: absolute;
  top: 100%;
  left: 0;
  z-index: 1000;
  display: none;
  float: left;
  min-width: 160px;
  padding: 5px 0;
  margin: 2px 0 0;
  list-style: none;
  font-size: 13px;
  text-align: left;
  background-color: #fff;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.15);
  border-radius: 2px;
  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  background-clip: padding-box;
}
.dropdown-menu.pull-right {
  right: 0;
  left: auto;
}
.dropdown-menu .divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.dropdown-menu > li > a {
  display: block;
  padding: 3px 20px;
  clear: both;
  font-weight: normal;
  line-height: 1.42857143;
  color: #333333;
  white-space: nowrap;
}
.dropdown-menu > li > a:hover,
.dropdown-menu > li > a:focus {
  text-decoration: none;
  color: #262626;
  background-color: #f5f5f5;
}
.dropdown-menu > .active > a,
.dropdown-menu > .active > a:hover,
.dropdown-menu > .active > a:focus {
  color: #fff;
  text-decoration: none;
  outline: 0;
  background-color: #337ab7;
}
.dropdown-menu > .disabled > a,
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  color: #777777;
}
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  text-decoration: none;
  background-color: transparent;
  background-image: none;
  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
  cursor: not-allowed;
}
.open > .dropdown-menu {
  display: block;
}
.open > a {
  outline: 0;
}
.dropdown-menu-right {
  left: auto;
  right: 0;
}
.dropdown-menu-left {
  left: 0;
  right: auto;
}
.dropdown-header {
  display: block;
  padding: 3px 20px;
  font-size: 12px;
  line-height: 1.42857143;
  color: #777777;
  white-space: nowrap;
}
.dropdown-backdrop {
  position: fixed;
  left: 0;
  right: 0;
  bottom: 0;
  top: 0;
  z-index: 990;
}
.pull-right > .dropdown-menu {
  right: 0;
  left: auto;
}
.dropup .caret,
.navbar-fixed-bottom .dropdown .caret {
  border-top: 0;
  border-bottom: 4px dashed;
  border-bottom: 4px solid \9;
  content: "";
}
.dropup .dropdown-menu,
.navbar-fixed-bottom .dropdown .dropdown-menu {
  top: auto;
  bottom: 100%;
  margin-bottom: 2px;
}
@media (min-width: 541px) {
  .navbar-right .dropdown-menu {
    left: auto;
    right: 0;
  }
  .navbar-right .dropdown-menu-left {
    left: 0;
    right: auto;
  }
}
.btn-group,
.btn-group-vertical {
  position: relative;
  display: inline-block;
  vertical-align: middle;
}
.btn-group > .btn,
.btn-group-vertical > .btn {
  position: relative;
  float: left;
}
.btn-group > .btn:hover,
.btn-group-vertical > .btn:hover,
.btn-group > .btn:focus,
.btn-group-vertical > .btn:focus,
.btn-group > .btn:active,
.btn-group-vertical > .btn:active,
.btn-group > .btn.active,
.btn-group-vertical > .btn.active {
  z-index: 2;
}
.btn-group .btn + .btn,
.btn-group .btn + .btn-group,
.btn-group .btn-group + .btn,
.btn-group .btn-group + .btn-group {
  margin-left: -1px;
}
.btn-toolbar {
  margin-left: -5px;
}
.btn-toolbar .btn,
.btn-toolbar .btn-group,
.btn-toolbar .input-group {
  float: left;
}
.btn-toolbar > .btn,
.btn-toolbar > .btn-group,
.btn-toolbar > .input-group {
  margin-left: 5px;
}
.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
  border-radius: 0;
}
.btn-group > .btn:first-child {
  margin-left: 0;
}
.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn:last-child:not(:first-child),
.btn-group > .dropdown-toggle:not(:first-child) {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group > .btn-group {
  float: left;
}
.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group .dropdown-toggle:active,
.btn-group.open .dropdown-toggle {
  outline: 0;
}
.btn-group > .btn + .dropdown-toggle {
  padding-left: 8px;
  padding-right: 8px;
}
.btn-group > .btn-lg + .dropdown-toggle {
  padding-left: 12px;
  padding-right: 12px;
}
.btn-group.open .dropdown-toggle {
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn-group.open .dropdown-toggle.btn-link {
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn .caret {
  margin-left: 0;
}
.btn-lg .caret {
  border-width: 5px 5px 0;
  border-bottom-width: 0;
}
.dropup .btn-lg .caret {
  border-width: 0 5px 5px;
}
.btn-group-vertical > .btn,
.btn-group-vertical > .btn-group,
.btn-group-vertical > .btn-group > .btn {
  display: block;
  float: none;
  width: 100%;
  max-width: 100%;
}
.btn-group-vertical > .btn-group > .btn {
  float: none;
}
.btn-group-vertical > .btn + .btn,
.btn-group-vertical > .btn + .btn-group,
.btn-group-vertical > .btn-group + .btn,
.btn-group-vertical > .btn-group + .btn-group {
  margin-top: -1px;
  margin-left: 0;
}
.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.btn-group-vertical > .btn:first-child:not(:last-child) {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn:last-child:not(:first-child) {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.btn-group-justified {
  display: table;
  width: 100%;
  table-layout: fixed;
  border-collapse: separate;
}
.btn-group-justified > .btn,
.btn-group-justified > .btn-group {
  float: none;
  display: table-cell;
  width: 1%;
}
.btn-group-justified > .btn-group .btn {
  width: 100%;
}
.btn-group-justified > .btn-group .dropdown-menu {
  left: auto;
}
[data-toggle="buttons"] > .btn input[type="radio"],
[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
[data-toggle="buttons"] > .btn input[type="checkbox"],
[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
  position: absolute;
  clip: rect(0, 0, 0, 0);
  pointer-events: none;
}
.input-group {
  position: relative;
  display: table;
  border-collapse: separate;
}
.input-group[class*="col-"] {
  float: none;
  padding-left: 0;
  padding-right: 0;
}
.input-group .form-control {
  position: relative;
  z-index: 2;
  float: left;
  width: 100%;
  margin-bottom: 0;
}
.input-group .form-control:focus {
  z-index: 3;
}
.input-group-lg > .form-control,
.input-group-lg > .input-group-addon,
.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-group-lg > .form-control,
select.input-group-lg > .input-group-addon,
select.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  line-height: 45px;
}
textarea.input-group-lg > .form-control,
textarea.input-group-lg > .input-group-addon,
textarea.input-group-lg > .input-group-btn > .btn,
select[multiple].input-group-lg > .form-control,
select[multiple].input-group-lg > .input-group-addon,
select[multiple].input-group-lg > .input-group-btn > .btn {
  height: auto;
}
.input-group-sm > .form-control,
.input-group-sm > .input-group-addon,
.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-group-sm > .form-control,
select.input-group-sm > .input-group-addon,
select.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  line-height: 30px;
}
textarea.input-group-sm > .form-control,
textarea.input-group-sm > .input-group-addon,
textarea.input-group-sm > .input-group-btn > .btn,
select[multiple].input-group-sm > .form-control,
select[multiple].input-group-sm > .input-group-addon,
select[multiple].input-group-sm > .input-group-btn > .btn {
  height: auto;
}
.input-group-addon,
.input-group-btn,
.input-group .form-control {
  display: table-cell;
}
.input-group-addon:not(:first-child):not(:last-child),
.input-group-btn:not(:first-child):not(:last-child),
.input-group .form-control:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.input-group-addon,
.input-group-btn {
  width: 1%;
  white-space: nowrap;
  vertical-align: middle;
}
.input-group-addon {
  padding: 6px 12px;
  font-size: 13px;
  font-weight: normal;
  line-height: 1;
  color: #555555;
  text-align: center;
  background-color: #eeeeee;
  border: 1px solid #ccc;
  border-radius: 2px;
}
.input-group-addon.input-sm {
  padding: 5px 10px;
  font-size: 12px;
  border-radius: 1px;
}
.input-group-addon.input-lg {
  padding: 10px 16px;
  font-size: 17px;
  border-radius: 3px;
}
.input-group-addon input[type="radio"],
.input-group-addon input[type="checkbox"] {
  margin-top: 0;
}
.input-group .form-control:first-child,
.input-group-addon:first-child,
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group > .btn,
.input-group-btn:first-child > .dropdown-toggle,
.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.input-group-addon:first-child {
  border-right: 0;
}
.input-group .form-control:last-child,
.input-group-addon:last-child,
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group > .btn,
.input-group-btn:last-child > .dropdown-toggle,
.input-group-btn:first-child > .btn:not(:first-child),
.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.input-group-addon:last-child {
  border-left: 0;
}
.input-group-btn {
  position: relative;
  font-size: 0;
  white-space: nowrap;
}
.input-group-btn > .btn {
  position: relative;
}
.input-group-btn > .btn + .btn {
  margin-left: -1px;
}
.input-group-btn > .btn:hover,
.input-group-btn > .btn:focus,
.input-group-btn > .btn:active {
  z-index: 2;
}
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group {
  margin-right: -1px;
}
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group {
  z-index: 2;
  margin-left: -1px;
}
.nav {
  margin-bottom: 0;
  padding-left: 0;
  list-style: none;
}
.nav > li {
  position: relative;
  display: block;
}
.nav > li > a {
  position: relative;
  display: block;
  padding: 10px 15px;
}
.nav > li > a:hover,
.nav > li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.nav > li.disabled > a {
  color: #777777;
}
.nav > li.disabled > a:hover,
.nav > li.disabled > a:focus {
  color: #777777;
  text-decoration: none;
  background-color: transparent;
  cursor: not-allowed;
}
.nav .open > a,
.nav .open > a:hover,
.nav .open > a:focus {
  background-color: #eeeeee;
  border-color: #337ab7;
}
.nav .nav-divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.nav > li > a > img {
  max-width: none;
}
.nav-tabs {
  border-bottom: 1px solid #ddd;
}
.nav-tabs > li {
  float: left;
  margin-bottom: -1px;
}
.nav-tabs > li > a {
  margin-right: 2px;
  line-height: 1.42857143;
  border: 1px solid transparent;
  border-radius: 2px 2px 0 0;
}
.nav-tabs > li > a:hover {
  border-color: #eeeeee #eeeeee #ddd;
}
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a:focus {
  color: #555555;
  background-color: #fff;
  border: 1px solid #ddd;
  border-bottom-color: transparent;
  cursor: default;
}
.nav-tabs.nav-justified {
  width: 100%;
  border-bottom: 0;
}
.nav-tabs.nav-justified > li {
  float: none;
}
.nav-tabs.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-tabs.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-tabs.nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs.nav-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs.nav-justified > .active > a,
.nav-tabs.nav-justified > .active > a:hover,
.nav-tabs.nav-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs.nav-justified > .active > a,
  .nav-tabs.nav-justified > .active > a:hover,
  .nav-tabs.nav-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.nav-pills > li {
  float: left;
}
.nav-pills > li > a {
  border-radius: 2px;
}
.nav-pills > li + li {
  margin-left: 2px;
}
.nav-pills > li.active > a,
.nav-pills > li.active > a:hover,
.nav-pills > li.active > a:focus {
  color: #fff;
  background-color: #337ab7;
}
.nav-stacked > li {
  float: none;
}
.nav-stacked > li + li {
  margin-top: 2px;
  margin-left: 0;
}
.nav-justified {
  width: 100%;
}
.nav-justified > li {
  float: none;
}
.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs-justified {
  border-bottom: 0;
}
.nav-tabs-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs-justified > .active > a,
.nav-tabs-justified > .active > a:hover,
.nav-tabs-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs-justified > .active > a,
  .nav-tabs-justified > .active > a:hover,
  .nav-tabs-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.tab-content > .tab-pane {
  display: none;
}
.tab-content > .active {
  display: block;
}
.nav-tabs .dropdown-menu {
  margin-top: -1px;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar {
  position: relative;
  min-height: 30px;
  margin-bottom: 18px;
  border: 1px solid transparent;
}
@media (min-width: 541px) {
  .navbar {
    border-radius: 2px;
  }
}
@media (min-width: 541px) {
  .navbar-header {
    float: left;
  }
}
.navbar-collapse {
  overflow-x: visible;
  padding-right: 0px;
  padding-left: 0px;
  border-top: 1px solid transparent;
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
  -webkit-overflow-scrolling: touch;
}
.navbar-collapse.in {
  overflow-y: auto;
}
@media (min-width: 541px) {
  .navbar-collapse {
    width: auto;
    border-top: 0;
    box-shadow: none;
  }
  .navbar-collapse.collapse {
    display: block !important;
    height: auto !important;
    padding-bottom: 0;
    overflow: visible !important;
  }
  .navbar-collapse.in {
    overflow-y: visible;
  }
  .navbar-fixed-top .navbar-collapse,
  .navbar-static-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    padding-left: 0;
    padding-right: 0;
  }
}
.navbar-fixed-top .navbar-collapse,
.navbar-fixed-bottom .navbar-collapse {
  max-height: 340px;
}
@media (max-device-width: 540px) and (orientation: landscape) {
  .navbar-fixed-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    max-height: 200px;
  }
}
.container > .navbar-header,
.container-fluid > .navbar-header,
.container > .navbar-collapse,
.container-fluid > .navbar-collapse {
  margin-right: 0px;
  margin-left: 0px;
}
@media (min-width: 541px) {
  .container > .navbar-header,
  .container-fluid > .navbar-header,
  .container > .navbar-collapse,
  .container-fluid > .navbar-collapse {
    margin-right: 0;
    margin-left: 0;
  }
}
.navbar-static-top {
  z-index: 1000;
  border-width: 0 0 1px;
}
@media (min-width: 541px) {
  .navbar-static-top {
    border-radius: 0;
  }
}
.navbar-fixed-top,
.navbar-fixed-bottom {
  position: fixed;
  right: 0;
  left: 0;
  z-index: 1030;
}
@media (min-width: 541px) {
  .navbar-fixed-top,
  .navbar-fixed-bottom {
    border-radius: 0;
  }
}
.navbar-fixed-top {
  top: 0;
  border-width: 0 0 1px;
}
.navbar-fixed-bottom {
  bottom: 0;
  margin-bottom: 0;
  border-width: 1px 0 0;
}
.navbar-brand {
  float: left;
  padding: 6px 0px;
  font-size: 17px;
  line-height: 18px;
  height: 30px;
}
.navbar-brand:hover,
.navbar-brand:focus {
  text-decoration: none;
}
.navbar-brand > img {
  display: block;
}
@media (min-width: 541px) {
  .navbar > .container .navbar-brand,
  .navbar > .container-fluid .navbar-brand {
    margin-left: 0px;
  }
}
.navbar-toggle {
  position: relative;
  float: right;
  margin-right: 0px;
  padding: 9px 10px;
  margin-top: -2px;
  margin-bottom: -2px;
  background-color: transparent;
  background-image: none;
  border: 1px solid transparent;
  border-radius: 2px;
}
.navbar-toggle:focus {
  outline: 0;
}
.navbar-toggle .icon-bar {
  display: block;
  width: 22px;
  height: 2px;
  border-radius: 1px;
}
.navbar-toggle .icon-bar + .icon-bar {
  margin-top: 4px;
}
@media (min-width: 541px) {
  .navbar-toggle {
    display: none;
  }
}
.navbar-nav {
  margin: 3px 0px;
}
.navbar-nav > li > a {
  padding-top: 10px;
  padding-bottom: 10px;
  line-height: 18px;
}
@media (max-width: 540px) {
  .navbar-nav .open .dropdown-menu {
    position: static;
    float: none;
    width: auto;
    margin-top: 0;
    background-color: transparent;
    border: 0;
    box-shadow: none;
  }
  .navbar-nav .open .dropdown-menu > li > a,
  .navbar-nav .open .dropdown-menu .dropdown-header {
    padding: 5px 15px 5px 25px;
  }
  .navbar-nav .open .dropdown-menu > li > a {
    line-height: 18px;
  }
  .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-nav .open .dropdown-menu > li > a:focus {
    background-image: none;
  }
}
@media (min-width: 541px) {
  .navbar-nav {
    float: left;
    margin: 0;
  }
  .navbar-nav > li {
    float: left;
  }
  .navbar-nav > li > a {
    padding-top: 6px;
    padding-bottom: 6px;
  }
}
.navbar-form {
  margin-left: 0px;
  margin-right: 0px;
  padding: 10px 0px;
  border-top: 1px solid transparent;
  border-bottom: 1px solid transparent;
  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  margin-top: -1px;
  margin-bottom: -1px;
}
@media (min-width: 768px) {
  .navbar-form .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .navbar-form .form-control-static {
    display: inline-block;
  }
  .navbar-form .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .navbar-form .input-group .input-group-addon,
  .navbar-form .input-group .input-group-btn,
  .navbar-form .input-group .form-control {
    width: auto;
  }
  .navbar-form .input-group > .form-control {
    width: 100%;
  }
  .navbar-form .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio,
  .navbar-form .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio label,
  .navbar-form .checkbox label {
    padding-left: 0;
  }
  .navbar-form .radio input[type="radio"],
  .navbar-form .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .navbar-form .has-feedback .form-control-feedback {
    top: 0;
  }
}
@media (max-width: 540px) {
  .navbar-form .form-group {
    margin-bottom: 5px;
  }
  .navbar-form .form-group:last-child {
    margin-bottom: 0;
  }
}
@media (min-width: 541px) {
  .navbar-form {
    width: auto;
    border: 0;
    margin-left: 0;
    margin-right: 0;
    padding-top: 0;
    padding-bottom: 0;
    -webkit-box-shadow: none;
    box-shadow: none;
  }
}
.navbar-nav > li > .dropdown-menu {
  margin-top: 0;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
  margin-bottom: 0;
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.navbar-btn {
  margin-top: -1px;
  margin-bottom: -1px;
}
.navbar-btn.btn-sm {
  margin-top: 0px;
  margin-bottom: 0px;
}
.navbar-btn.btn-xs {
  margin-top: 4px;
  margin-bottom: 4px;
}
.navbar-text {
  margin-top: 6px;
  margin-bottom: 6px;
}
@media (min-width: 541px) {
  .navbar-text {
    float: left;
    margin-left: 0px;
    margin-right: 0px;
  }
}
@media (min-width: 541px) {
  .navbar-left {
    float: left !important;
    float: left;
  }
  .navbar-right {
    float: right !important;
    float: right;
    margin-right: 0px;
  }
  .navbar-right ~ .navbar-right {
    margin-right: 0;
  }
}
.navbar-default {
  background-color: #f8f8f8;
  border-color: #e7e7e7;
}
.navbar-default .navbar-brand {
  color: #777;
}
.navbar-default .navbar-brand:hover,
.navbar-default .navbar-brand:focus {
  color: #5e5e5e;
  background-color: transparent;
}
.navbar-default .navbar-text {
  color: #777;
}
.navbar-default .navbar-nav > li > a {
  color: #777;
}
.navbar-default .navbar-nav > li > a:hover,
.navbar-default .navbar-nav > li > a:focus {
  color: #333;
  background-color: transparent;
}
.navbar-default .navbar-nav > .active > a,
.navbar-default .navbar-nav > .active > a:hover,
.navbar-default .navbar-nav > .active > a:focus {
  color: #555;
  background-color: #e7e7e7;
}
.navbar-default .navbar-nav > .disabled > a,
.navbar-default .navbar-nav > .disabled > a:hover,
.navbar-default .navbar-nav > .disabled > a:focus {
  color: #ccc;
  background-color: transparent;
}
.navbar-default .navbar-toggle {
  border-color: #ddd;
}
.navbar-default .navbar-toggle:hover,
.navbar-default .navbar-toggle:focus {
  background-color: #ddd;
}
.navbar-default .navbar-toggle .icon-bar {
  background-color: #888;
}
.navbar-default .navbar-collapse,
.navbar-default .navbar-form {
  border-color: #e7e7e7;
}
.navbar-default .navbar-nav > .open > a,
.navbar-default .navbar-nav > .open > a:hover,
.navbar-default .navbar-nav > .open > a:focus {
  background-color: #e7e7e7;
  color: #555;
}
@media (max-width: 540px) {
  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
    color: #777;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #333;
    background-color: transparent;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #555;
    background-color: #e7e7e7;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #ccc;
    background-color: transparent;
  }
}
.navbar-default .navbar-link {
  color: #777;
}
.navbar-default .navbar-link:hover {
  color: #333;
}
.navbar-default .btn-link {
  color: #777;
}
.navbar-default .btn-link:hover,
.navbar-default .btn-link:focus {
  color: #333;
}
.navbar-default .btn-link[disabled]:hover,
fieldset[disabled] .navbar-default .btn-link:hover,
.navbar-default .btn-link[disabled]:focus,
fieldset[disabled] .navbar-default .btn-link:focus {
  color: #ccc;
}
.navbar-inverse {
  background-color: #222;
  border-color: #080808;
}
.navbar-inverse .navbar-brand {
  color: #9d9d9d;
}
.navbar-inverse .navbar-brand:hover,
.navbar-inverse .navbar-brand:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-text {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a:hover,
.navbar-inverse .navbar-nav > li > a:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-nav > .active > a,
.navbar-inverse .navbar-nav > .active > a:hover,
.navbar-inverse .navbar-nav > .active > a:focus {
  color: #fff;
  background-color: #080808;
}
.navbar-inverse .navbar-nav > .disabled > a,
.navbar-inverse .navbar-nav > .disabled > a:hover,
.navbar-inverse .navbar-nav > .disabled > a:focus {
  color: #444;
  background-color: transparent;
}
.navbar-inverse .navbar-toggle {
  border-color: #333;
}
.navbar-inverse .navbar-toggle:hover,
.navbar-inverse .navbar-toggle:focus {
  background-color: #333;
}
.navbar-inverse .navbar-toggle .icon-bar {
  background-color: #fff;
}
.navbar-inverse .navbar-collapse,
.navbar-inverse .navbar-form {
  border-color: #101010;
}
.navbar-inverse .navbar-nav > .open > a,
.navbar-inverse .navbar-nav > .open > a:hover,
.navbar-inverse .navbar-nav > .open > a:focus {
  background-color: #080808;
  color: #fff;
}
@media (max-width: 540px) {
  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
    border-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
    color: #9d9d9d;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #fff;
    background-color: transparent;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #fff;
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #444;
    background-color: transparent;
  }
}
.navbar-inverse .navbar-link {
  color: #9d9d9d;
}
.navbar-inverse .navbar-link:hover {
  color: #fff;
}
.navbar-inverse .btn-link {
  color: #9d9d9d;
}
.navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link:focus {
  color: #fff;
}
.navbar-inverse .btn-link[disabled]:hover,
fieldset[disabled] .navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link[disabled]:focus,
fieldset[disabled] .navbar-inverse .btn-link:focus {
  color: #444;
}
.breadcrumb {
  padding: 8px 15px;
  margin-bottom: 18px;
  list-style: none;
  background-color: #f5f5f5;
  border-radius: 2px;
}
.breadcrumb > li {
  display: inline-block;
}
.breadcrumb > li + li:before {
  content: "/\00a0";
  padding: 0 5px;
  color: #5e5e5e;
}
.breadcrumb > .active {
  color: #777777;
}
.pagination {
  display: inline-block;
  padding-left: 0;
  margin: 18px 0;
  border-radius: 2px;
}
.pagination > li {
  display: inline;
}
.pagination > li > a,
.pagination > li > span {
  position: relative;
  float: left;
  padding: 6px 12px;
  line-height: 1.42857143;
  text-decoration: none;
  color: #337ab7;
  background-color: #fff;
  border: 1px solid #ddd;
  margin-left: -1px;
}
.pagination > li:first-child > a,
.pagination > li:first-child > span {
  margin-left: 0;
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.pagination > li:last-child > a,
.pagination > li:last-child > span {
  border-bottom-right-radius: 2px;
  border-top-right-radius: 2px;
}
.pagination > li > a:hover,
.pagination > li > span:hover,
.pagination > li > a:focus,
.pagination > li > span:focus {
  z-index: 2;
  color: #23527c;
  background-color: #eeeeee;
  border-color: #ddd;
}
.pagination > .active > a,
.pagination > .active > span,
.pagination > .active > a:hover,
.pagination > .active > span:hover,
.pagination > .active > a:focus,
.pagination > .active > span:focus {
  z-index: 3;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
  cursor: default;
}
.pagination > .disabled > span,
.pagination > .disabled > span:hover,
.pagination > .disabled > span:focus,
.pagination > .disabled > a,
.pagination > .disabled > a:hover,
.pagination > .disabled > a:focus {
  color: #777777;
  background-color: #fff;
  border-color: #ddd;
  cursor: not-allowed;
}
.pagination-lg > li > a,
.pagination-lg > li > span {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.pagination-lg > li:first-child > a,
.pagination-lg > li:first-child > span {
  border-bottom-left-radius: 3px;
  border-top-left-radius: 3px;
}
.pagination-lg > li:last-child > a,
.pagination-lg > li:last-child > span {
  border-bottom-right-radius: 3px;
  border-top-right-radius: 3px;
}
.pagination-sm > li > a,
.pagination-sm > li > span {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.pagination-sm > li:first-child > a,
.pagination-sm > li:first-child > span {
  border-bottom-left-radius: 1px;
  border-top-left-radius: 1px;
}
.pagination-sm > li:last-child > a,
.pagination-sm > li:last-child > span {
  border-bottom-right-radius: 1px;
  border-top-right-radius: 1px;
}
.pager {
  padding-left: 0;
  margin: 18px 0;
  list-style: none;
  text-align: center;
}
.pager li {
  display: inline;
}
.pager li > a,
.pager li > span {
  display: inline-block;
  padding: 5px 14px;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 15px;
}
.pager li > a:hover,
.pager li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.pager .next > a,
.pager .next > span {
  float: right;
}
.pager .previous > a,
.pager .previous > span {
  float: left;
}
.pager .disabled > a,
.pager .disabled > a:hover,
.pager .disabled > a:focus,
.pager .disabled > span {
  color: #777777;
  background-color: #fff;
  cursor: not-allowed;
}
.label {
  display: inline;
  padding: .2em .6em .3em;
  font-size: 75%;
  font-weight: bold;
  line-height: 1;
  color: #fff;
  text-align: center;
  white-space: nowrap;
  vertical-align: baseline;
  border-radius: .25em;
}
a.label:hover,
a.label:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.label:empty {
  display: none;
}
.btn .label {
  position: relative;
  top: -1px;
}
.label-default {
  background-color: #777777;
}
.label-default[href]:hover,
.label-default[href]:focus {
  background-color: #5e5e5e;
}
.label-primary {
  background-color: #337ab7;
}
.label-primary[href]:hover,
.label-primary[href]:focus {
  background-color: #286090;
}
.label-success {
  background-color: #5cb85c;
}
.label-success[href]:hover,
.label-success[href]:focus {
  background-color: #449d44;
}
.label-info {
  background-color: #5bc0de;
}
.label-info[href]:hover,
.label-info[href]:focus {
  background-color: #31b0d5;
}
.label-warning {
  background-color: #f0ad4e;
}
.label-warning[href]:hover,
.label-warning[href]:focus {
  background-color: #ec971f;
}
.label-danger {
  background-color: #d9534f;
}
.label-danger[href]:hover,
.label-danger[href]:focus {
  background-color: #c9302c;
}
.badge {
  display: inline-block;
  min-width: 10px;
  padding: 3px 7px;
  font-size: 12px;
  font-weight: bold;
  color: #fff;
  line-height: 1;
  vertical-align: middle;
  white-space: nowrap;
  text-align: center;
  background-color: #777777;
  border-radius: 10px;
}
.badge:empty {
  display: none;
}
.btn .badge {
  position: relative;
  top: -1px;
}
.btn-xs .badge,
.btn-group-xs > .btn .badge {
  top: 0;
  padding: 1px 5px;
}
a.badge:hover,
a.badge:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.list-group-item.active > .badge,
.nav-pills > .active > a > .badge {
  color: #337ab7;
  background-color: #fff;
}
.list-group-item > .badge {
  float: right;
}
.list-group-item > .badge + .badge {
  margin-right: 5px;
}
.nav-pills > li > a > .badge {
  margin-left: 3px;
}
.jumbotron {
  padding-top: 30px;
  padding-bottom: 30px;
  margin-bottom: 30px;
  color: inherit;
  background-color: #eeeeee;
}
.jumbotron h1,
.jumbotron .h1 {
  color: inherit;
}
.jumbotron p {
  margin-bottom: 15px;
  font-size: 20px;
  font-weight: 200;
}
.jumbotron > hr {
  border-top-color: #d5d5d5;
}
.container .jumbotron,
.container-fluid .jumbotron {
  border-radius: 3px;
  padding-left: 0px;
  padding-right: 0px;
}
.jumbotron .container {
  max-width: 100%;
}
@media screen and (min-width: 768px) {
  .jumbotron {
    padding-top: 48px;
    padding-bottom: 48px;
  }
  .container .jumbotron,
  .container-fluid .jumbotron {
    padding-left: 60px;
    padding-right: 60px;
  }
  .jumbotron h1,
  .jumbotron .h1 {
    font-size: 59px;
  }
}
.thumbnail {
  display: block;
  padding: 4px;
  margin-bottom: 18px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: border 0.2s ease-in-out;
  -o-transition: border 0.2s ease-in-out;
  transition: border 0.2s ease-in-out;
}
.thumbnail > img,
.thumbnail a > img {
  margin-left: auto;
  margin-right: auto;
}
a.thumbnail:hover,
a.thumbnail:focus,
a.thumbnail.active {
  border-color: #337ab7;
}
.thumbnail .caption {
  padding: 9px;
  color: #000;
}
.alert {
  padding: 15px;
  margin-bottom: 18px;
  border: 1px solid transparent;
  border-radius: 2px;
}
.alert h4 {
  margin-top: 0;
  color: inherit;
}
.alert .alert-link {
  font-weight: bold;
}
.alert > p,
.alert > ul {
  margin-bottom: 0;
}
.alert > p + p {
  margin-top: 5px;
}
.alert-dismissable,
.alert-dismissible {
  padding-right: 35px;
}
.alert-dismissable .close,
.alert-dismissible .close {
  position: relative;
  top: -2px;
  right: -21px;
  color: inherit;
}
.alert-success {
  background-color: #dff0d8;
  border-color: #d6e9c6;
  color: #3c763d;
}
.alert-success hr {
  border-top-color: #c9e2b3;
}
.alert-success .alert-link {
  color: #2b542c;
}
.alert-info {
  background-color: #d9edf7;
  border-color: #bce8f1;
  color: #31708f;
}
.alert-info hr {
  border-top-color: #a6e1ec;
}
.alert-info .alert-link {
  color: #245269;
}
.alert-warning {
  background-color: #fcf8e3;
  border-color: #faebcc;
  color: #8a6d3b;
}
.alert-warning hr {
  border-top-color: #f7e1b5;
}
.alert-warning .alert-link {
  color: #66512c;
}
.alert-danger {
  background-color: #f2dede;
  border-color: #ebccd1;
  color: #a94442;
}
.alert-danger hr {
  border-top-color: #e4b9c0;
}
.alert-danger .alert-link {
  color: #843534;
}
@-webkit-keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
@keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
.progress {
  overflow: hidden;
  height: 18px;
  margin-bottom: 18px;
  background-color: #f5f5f5;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
}
.progress-bar {
  float: left;
  width: 0%;
  height: 100%;
  font-size: 12px;
  line-height: 18px;
  color: #fff;
  text-align: center;
  background-color: #337ab7;
  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  -webkit-transition: width 0.6s ease;
  -o-transition: width 0.6s ease;
  transition: width 0.6s ease;
}
.progress-striped .progress-bar,
.progress-bar-striped {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-size: 40px 40px;
}
.progress.active .progress-bar,
.progress-bar.active {
  -webkit-animation: progress-bar-stripes 2s linear infinite;
  -o-animation: progress-bar-stripes 2s linear infinite;
  animation: progress-bar-stripes 2s linear infinite;
}
.progress-bar-success {
  background-color: #5cb85c;
}
.progress-striped .progress-bar-success {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-info {
  background-color: #5bc0de;
}
.progress-striped .progress-bar-info {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-warning {
  background-color: #f0ad4e;
}
.progress-striped .progress-bar-warning {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-danger {
  background-color: #d9534f;
}
.progress-striped .progress-bar-danger {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.media {
  margin-top: 15px;
}
.media:first-child {
  margin-top: 0;
}
.media,
.media-body {
  zoom: 1;
  overflow: hidden;
}
.media-body {
  width: 10000px;
}
.media-object {
  display: block;
}
.media-object.img-thumbnail {
  max-width: none;
}
.media-right,
.media > .pull-right {
  padding-left: 10px;
}
.media-left,
.media > .pull-left {
  padding-right: 10px;
}
.media-left,
.media-right,
.media-body {
  display: table-cell;
  vertical-align: top;
}
.media-middle {
  vertical-align: middle;
}
.media-bottom {
  vertical-align: bottom;
}
.media-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.media-list {
  padding-left: 0;
  list-style: none;
}
.list-group {
  margin-bottom: 20px;
  padding-left: 0;
}
.list-group-item {
  position: relative;
  display: block;
  padding: 10px 15px;
  margin-bottom: -1px;
  background-color: #fff;
  border: 1px solid #ddd;
}
.list-group-item:first-child {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
}
.list-group-item:last-child {
  margin-bottom: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
a.list-group-item,
button.list-group-item {
  color: #555;
}
a.list-group-item .list-group-item-heading,
button.list-group-item .list-group-item-heading {
  color: #333;
}
a.list-group-item:hover,
button.list-group-item:hover,
a.list-group-item:focus,
button.list-group-item:focus {
  text-decoration: none;
  color: #555;
  background-color: #f5f5f5;
}
button.list-group-item {
  width: 100%;
  text-align: left;
}
.list-group-item.disabled,
.list-group-item.disabled:hover,
.list-group-item.disabled:focus {
  background-color: #eeeeee;
  color: #777777;
  cursor: not-allowed;
}
.list-group-item.disabled .list-group-item-heading,
.list-group-item.disabled:hover .list-group-item-heading,
.list-group-item.disabled:focus .list-group-item-heading {
  color: inherit;
}
.list-group-item.disabled .list-group-item-text,
.list-group-item.disabled:hover .list-group-item-text,
.list-group-item.disabled:focus .list-group-item-text {
  color: #777777;
}
.list-group-item.active,
.list-group-item.active:hover,
.list-group-item.active:focus {
  z-index: 2;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.list-group-item.active .list-group-item-heading,
.list-group-item.active:hover .list-group-item-heading,
.list-group-item.active:focus .list-group-item-heading,
.list-group-item.active .list-group-item-heading > small,
.list-group-item.active:hover .list-group-item-heading > small,
.list-group-item.active:focus .list-group-item-heading > small,
.list-group-item.active .list-group-item-heading > .small,
.list-group-item.active:hover .list-group-item-heading > .small,
.list-group-item.active:focus .list-group-item-heading > .small {
  color: inherit;
}
.list-group-item.active .list-group-item-text,
.list-group-item.active:hover .list-group-item-text,
.list-group-item.active:focus .list-group-item-text {
  color: #c7ddef;
}
.list-group-item-success {
  color: #3c763d;
  background-color: #dff0d8;
}
a.list-group-item-success,
button.list-group-item-success {
  color: #3c763d;
}
a.list-group-item-success .list-group-item-heading,
button.list-group-item-success .list-group-item-heading {
  color: inherit;
}
a.list-group-item-success:hover,
button.list-group-item-success:hover,
a.list-group-item-success:focus,
button.list-group-item-success:focus {
  color: #3c763d;
  background-color: #d0e9c6;
}
a.list-group-item-success.active,
button.list-group-item-success.active,
a.list-group-item-success.active:hover,
button.list-group-item-success.active:hover,
a.list-group-item-success.active:focus,
button.list-group-item-success.active:focus {
  color: #fff;
  background-color: #3c763d;
  border-color: #3c763d;
}
.list-group-item-info {
  color: #31708f;
  background-color: #d9edf7;
}
a.list-group-item-info,
button.list-group-item-info {
  color: #31708f;
}
a.list-group-item-info .list-group-item-heading,
button.list-group-item-info .list-group-item-heading {
  color: inherit;
}
a.list-group-item-info:hover,
button.list-group-item-info:hover,
a.list-group-item-info:focus,
button.list-group-item-info:focus {
  color: #31708f;
  background-color: #c4e3f3;
}
a.list-group-item-info.active,
button.list-group-item-info.active,
a.list-group-item-info.active:hover,
button.list-group-item-info.active:hover,
a.list-group-item-info.active:focus,
button.list-group-item-info.active:focus {
  color: #fff;
  background-color: #31708f;
  border-color: #31708f;
}
.list-group-item-warning {
  color: #8a6d3b;
  background-color: #fcf8e3;
}
a.list-group-item-warning,
button.list-group-item-warning {
  color: #8a6d3b;
}
a.list-group-item-warning .list-group-item-heading,
button.list-group-item-warning .list-group-item-heading {
  color: inherit;
}
a.list-group-item-warning:hover,
button.list-group-item-warning:hover,
a.list-group-item-warning:focus,
button.list-group-item-warning:focus {
  color: #8a6d3b;
  background-color: #faf2cc;
}
a.list-group-item-warning.active,
button.list-group-item-warning.active,
a.list-group-item-warning.active:hover,
button.list-group-item-warning.active:hover,
a.list-group-item-warning.active:focus,
button.list-group-item-warning.active:focus {
  color: #fff;
  background-color: #8a6d3b;
  border-color: #8a6d3b;
}
.list-group-item-danger {
  color: #a94442;
  background-color: #f2dede;
}
a.list-group-item-danger,
button.list-group-item-danger {
  color: #a94442;
}
a.list-group-item-danger .list-group-item-heading,
button.list-group-item-danger .list-group-item-heading {
  color: inherit;
}
a.list-group-item-danger:hover,
button.list-group-item-danger:hover,
a.list-group-item-danger:focus,
button.list-group-item-danger:focus {
  color: #a94442;
  background-color: #ebcccc;
}
a.list-group-item-danger.active,
button.list-group-item-danger.active,
a.list-group-item-danger.active:hover,
button.list-group-item-danger.active:hover,
a.list-group-item-danger.active:focus,
button.list-group-item-danger.active:focus {
  color: #fff;
  background-color: #a94442;
  border-color: #a94442;
}
.list-group-item-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.list-group-item-text {
  margin-bottom: 0;
  line-height: 1.3;
}
.panel {
  margin-bottom: 18px;
  background-color: #fff;
  border: 1px solid transparent;
  border-radius: 2px;
  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
}
.panel-body {
  padding: 15px;
}
.panel-heading {
  padding: 10px 15px;
  border-bottom: 1px solid transparent;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel-heading > .dropdown .dropdown-toggle {
  color: inherit;
}
.panel-title {
  margin-top: 0;
  margin-bottom: 0;
  font-size: 15px;
  color: inherit;
}
.panel-title > a,
.panel-title > small,
.panel-title > .small,
.panel-title > small > a,
.panel-title > .small > a {
  color: inherit;
}
.panel-footer {
  padding: 10px 15px;
  background-color: #f5f5f5;
  border-top: 1px solid #ddd;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .list-group,
.panel > .panel-collapse > .list-group {
  margin-bottom: 0;
}
.panel > .list-group .list-group-item,
.panel > .panel-collapse > .list-group .list-group-item {
  border-width: 1px 0;
  border-radius: 0;
}
.panel > .list-group:first-child .list-group-item:first-child,
.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
  border-top: 0;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .list-group:last-child .list-group-item:last-child,
.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
  border-bottom: 0;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.panel-heading + .list-group .list-group-item:first-child {
  border-top-width: 0;
}
.list-group + .panel-footer {
  border-top-width: 0;
}
.panel > .table,
.panel > .table-responsive > .table,
.panel > .panel-collapse > .table {
  margin-bottom: 0;
}
.panel > .table caption,
.panel > .table-responsive > .table caption,
.panel > .panel-collapse > .table caption {
  padding-left: 15px;
  padding-right: 15px;
}
.panel > .table:first-child,
.panel > .table-responsive:first-child > .table:first-child {
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
  border-top-left-radius: 1px;
  border-top-right-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
  border-top-right-radius: 1px;
}
.panel > .table:last-child,
.panel > .table-responsive:last-child > .table:last-child {
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
  border-bottom-left-radius: 1px;
  border-bottom-right-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
  border-bottom-right-radius: 1px;
}
.panel > .panel-body + .table,
.panel > .panel-body + .table-responsive,
.panel > .table + .panel-body,
.panel > .table-responsive + .panel-body {
  border-top: 1px solid #ddd;
}
.panel > .table > tbody:first-child > tr:first-child th,
.panel > .table > tbody:first-child > tr:first-child td {
  border-top: 0;
}
.panel > .table-bordered,
.panel > .table-responsive > .table-bordered {
  border: 0;
}
.panel > .table-bordered > thead > tr > th:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
.panel > .table-bordered > tbody > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
.panel > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-bordered > thead > tr > td:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
.panel > .table-bordered > tbody > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
.panel > .table-bordered > tfoot > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
  border-left: 0;
}
.panel > .table-bordered > thead > tr > th:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
.panel > .table-bordered > tbody > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
.panel > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-bordered > thead > tr > td:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
.panel > .table-bordered > tbody > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
.panel > .table-bordered > tfoot > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
  border-right: 0;
}
.panel > .table-bordered > thead > tr:first-child > td,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
.panel > .table-bordered > tbody > tr:first-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
.panel > .table-bordered > thead > tr:first-child > th,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
.panel > .table-bordered > tbody > tr:first-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
  border-bottom: 0;
}
.panel > .table-bordered > tbody > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
.panel > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-bordered > tbody > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
.panel > .table-bordered > tfoot > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
  border-bottom: 0;
}
.panel > .table-responsive {
  border: 0;
  margin-bottom: 0;
}
.panel-group {
  margin-bottom: 18px;
}
.panel-group .panel {
  margin-bottom: 0;
  border-radius: 2px;
}
.panel-group .panel + .panel {
  margin-top: 5px;
}
.panel-group .panel-heading {
  border-bottom: 0;
}
.panel-group .panel-heading + .panel-collapse > .panel-body,
.panel-group .panel-heading + .panel-collapse > .list-group {
  border-top: 1px solid #ddd;
}
.panel-group .panel-footer {
  border-top: 0;
}
.panel-group .panel-footer + .panel-collapse .panel-body {
  border-bottom: 1px solid #ddd;
}
.panel-default {
  border-color: #ddd;
}
.panel-default > .panel-heading {
  color: #333333;
  background-color: #f5f5f5;
  border-color: #ddd;
}
.panel-default > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ddd;
}
.panel-default > .panel-heading .badge {
  color: #f5f5f5;
  background-color: #333333;
}
.panel-default > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ddd;
}
.panel-primary {
  border-color: #337ab7;
}
.panel-primary > .panel-heading {
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.panel-primary > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #337ab7;
}
.panel-primary > .panel-heading .badge {
  color: #337ab7;
  background-color: #fff;
}
.panel-primary > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #337ab7;
}
.panel-success {
  border-color: #d6e9c6;
}
.panel-success > .panel-heading {
  color: #3c763d;
  background-color: #dff0d8;
  border-color: #d6e9c6;
}
.panel-success > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #d6e9c6;
}
.panel-success > .panel-heading .badge {
  color: #dff0d8;
  background-color: #3c763d;
}
.panel-success > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #d6e9c6;
}
.panel-info {
  border-color: #bce8f1;
}
.panel-info > .panel-heading {
  color: #31708f;
  background-color: #d9edf7;
  border-color: #bce8f1;
}
.panel-info > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #bce8f1;
}
.panel-info > .panel-heading .badge {
  color: #d9edf7;
  background-color: #31708f;
}
.panel-info > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #bce8f1;
}
.panel-warning {
  border-color: #faebcc;
}
.panel-warning > .panel-heading {
  color: #8a6d3b;
  background-color: #fcf8e3;
  border-color: #faebcc;
}
.panel-warning > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #faebcc;
}
.panel-warning > .panel-heading .badge {
  color: #fcf8e3;
  background-color: #8a6d3b;
}
.panel-warning > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #faebcc;
}
.panel-danger {
  border-color: #ebccd1;
}
.panel-danger > .panel-heading {
  color: #a94442;
  background-color: #f2dede;
  border-color: #ebccd1;
}
.panel-danger > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ebccd1;
}
.panel-danger > .panel-heading .badge {
  color: #f2dede;
  background-color: #a94442;
}
.panel-danger > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ebccd1;
}
.embed-responsive {
  position: relative;
  display: block;
  height: 0;
  padding: 0;
  overflow: hidden;
}
.embed-responsive .embed-responsive-item,
.embed-responsive iframe,
.embed-responsive embed,
.embed-responsive object,
.embed-responsive video {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  height: 100%;
  width: 100%;
  border: 0;
}
.embed-responsive-16by9 {
  padding-bottom: 56.25%;
}
.embed-responsive-4by3 {
  padding-bottom: 75%;
}
.well {
  min-height: 20px;
  padding: 19px;
  margin-bottom: 20px;
  background-color: #f5f5f5;
  border: 1px solid #e3e3e3;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
}
.well blockquote {
  border-color: #ddd;
  border-color: rgba(0, 0, 0, 0.15);
}
.well-lg {
  padding: 24px;
  border-radius: 3px;
}
.well-sm {
  padding: 9px;
  border-radius: 1px;
}
.close {
  float: right;
  font-size: 19.5px;
  font-weight: bold;
  line-height: 1;
  color: #000;
  text-shadow: 0 1px 0 #fff;
  opacity: 0.2;
  filter: alpha(opacity=20);
}
.close:hover,
.close:focus {
  color: #000;
  text-decoration: none;
  cursor: pointer;
  opacity: 0.5;
  filter: alpha(opacity=50);
}
button.close {
  padding: 0;
  cursor: pointer;
  background: transparent;
  border: 0;
  -webkit-appearance: none;
}
.modal-open {
  overflow: hidden;
}
.modal {
  display: none;
  overflow: hidden;
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1050;
  -webkit-overflow-scrolling: touch;
  outline: 0;
}
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, -25%);
  -ms-transform: translate(0, -25%);
  -o-transform: translate(0, -25%);
  transform: translate(0, -25%);
  -webkit-transition: -webkit-transform 0.3s ease-out;
  -moz-transition: -moz-transform 0.3s ease-out;
  -o-transition: -o-transform 0.3s ease-out;
  transition: transform 0.3s ease-out;
}
.modal.in .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
.modal-open .modal {
  overflow-x: hidden;
  overflow-y: auto;
}
.modal-dialog {
  position: relative;
  width: auto;
  margin: 10px;
}
.modal-content {
  position: relative;
  background-color: #fff;
  border: 1px solid #999;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  background-clip: padding-box;
  outline: 0;
}
.modal-backdrop {
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1040;
  background-color: #000;
}
.modal-backdrop.fade {
  opacity: 0;
  filter: alpha(opacity=0);
}
.modal-backdrop.in {
  opacity: 0.5;
  filter: alpha(opacity=50);
}
.modal-header {
  padding: 15px;
  border-bottom: 1px solid #e5e5e5;
}
.modal-header .close {
  margin-top: -2px;
}
.modal-title {
  margin: 0;
  line-height: 1.42857143;
}
.modal-body {
  position: relative;
  padding: 15px;
}
.modal-footer {
  padding: 15px;
  text-align: right;
  border-top: 1px solid #e5e5e5;
}
.modal-footer .btn + .btn {
  margin-left: 5px;
  margin-bottom: 0;
}
.modal-footer .btn-group .btn + .btn {
  margin-left: -1px;
}
.modal-footer .btn-block + .btn-block {
  margin-left: 0;
}
.modal-scrollbar-measure {
  position: absolute;
  top: -9999px;
  width: 50px;
  height: 50px;
  overflow: scroll;
}
@media (min-width: 768px) {
  .modal-dialog {
    width: 600px;
    margin: 30px auto;
  }
  .modal-content {
    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
  }
  .modal-sm {
    width: 300px;
  }
}
@media (min-width: 992px) {
  .modal-lg {
    width: 900px;
  }
}
.tooltip {
  position: absolute;
  z-index: 1070;
  display: block;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 12px;
  opacity: 0;
  filter: alpha(opacity=0);
}
.tooltip.in {
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.tooltip.top {
  margin-top: -3px;
  padding: 5px 0;
}
.tooltip.right {
  margin-left: 3px;
  padding: 0 5px;
}
.tooltip.bottom {
  margin-top: 3px;
  padding: 5px 0;
}
.tooltip.left {
  margin-left: -3px;
  padding: 0 5px;
}
.tooltip-inner {
  max-width: 200px;
  padding: 3px 8px;
  color: #fff;
  text-align: center;
  background-color: #000;
  border-radius: 2px;
}
.tooltip-arrow {
  position: absolute;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.tooltip.top .tooltip-arrow {
  bottom: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-left .tooltip-arrow {
  bottom: 0;
  right: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-right .tooltip-arrow {
  bottom: 0;
  left: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.right .tooltip-arrow {
  top: 50%;
  left: 0;
  margin-top: -5px;
  border-width: 5px 5px 5px 0;
  border-right-color: #000;
}
.tooltip.left .tooltip-arrow {
  top: 50%;
  right: 0;
  margin-top: -5px;
  border-width: 5px 0 5px 5px;
  border-left-color: #000;
}
.tooltip.bottom .tooltip-arrow {
  top: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-left .tooltip-arrow {
  top: 0;
  right: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-right .tooltip-arrow {
  top: 0;
  left: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.popover {
  position: absolute;
  top: 0;
  left: 0;
  z-index: 1060;
  display: none;
  max-width: 276px;
  padding: 1px;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 13px;
  background-color: #fff;
  background-clip: padding-box;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
}
.popover.top {
  margin-top: -10px;
}
.popover.right {
  margin-left: 10px;
}
.popover.bottom {
  margin-top: 10px;
}
.popover.left {
  margin-left: -10px;
}
.popover-title {
  margin: 0;
  padding: 8px 14px;
  font-size: 13px;
  background-color: #f7f7f7;
  border-bottom: 1px solid #ebebeb;
  border-radius: 2px 2px 0 0;
}
.popover-content {
  padding: 9px 14px;
}
.popover > .arrow,
.popover > .arrow:after {
  position: absolute;
  display: block;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.popover > .arrow {
  border-width: 11px;
}
.popover > .arrow:after {
  border-width: 10px;
  content: "";
}
.popover.top > .arrow {
  left: 50%;
  margin-left: -11px;
  border-bottom-width: 0;
  border-top-color: #999999;
  border-top-color: rgba(0, 0, 0, 0.25);
  bottom: -11px;
}
.popover.top > .arrow:after {
  content: " ";
  bottom: 1px;
  margin-left: -10px;
  border-bottom-width: 0;
  border-top-color: #fff;
}
.popover.right > .arrow {
  top: 50%;
  left: -11px;
  margin-top: -11px;
  border-left-width: 0;
  border-right-color: #999999;
  border-right-color: rgba(0, 0, 0, 0.25);
}
.popover.right > .arrow:after {
  content: " ";
  left: 1px;
  bottom: -10px;
  border-left-width: 0;
  border-right-color: #fff;
}
.popover.bottom > .arrow {
  left: 50%;
  margin-left: -11px;
  border-top-width: 0;
  border-bottom-color: #999999;
  border-bottom-color: rgba(0, 0, 0, 0.25);
  top: -11px;
}
.popover.bottom > .arrow:after {
  content: " ";
  top: 1px;
  margin-left: -10px;
  border-top-width: 0;
  border-bottom-color: #fff;
}
.popover.left > .arrow {
  top: 50%;
  right: -11px;
  margin-top: -11px;
  border-right-width: 0;
  border-left-color: #999999;
  border-left-color: rgba(0, 0, 0, 0.25);
}
.popover.left > .arrow:after {
  content: " ";
  right: 1px;
  border-right-width: 0;
  border-left-color: #fff;
  bottom: -10px;
}
.carousel {
  position: relative;
}
.carousel-inner {
  position: relative;
  overflow: hidden;
  width: 100%;
}
.carousel-inner > .item {
  display: none;
  position: relative;
  -webkit-transition: 0.6s ease-in-out left;
  -o-transition: 0.6s ease-in-out left;
  transition: 0.6s ease-in-out left;
}
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  line-height: 1;
}
@media all and (transform-3d), (-webkit-transform-3d) {
  .carousel-inner > .item {
    -webkit-transition: -webkit-transform 0.6s ease-in-out;
    -moz-transition: -moz-transform 0.6s ease-in-out;
    -o-transition: -o-transform 0.6s ease-in-out;
    transition: transform 0.6s ease-in-out;
    -webkit-backface-visibility: hidden;
    -moz-backface-visibility: hidden;
    backface-visibility: hidden;
    -webkit-perspective: 1000px;
    -moz-perspective: 1000px;
    perspective: 1000px;
  }
  .carousel-inner > .item.next,
  .carousel-inner > .item.active.right {
    -webkit-transform: translate3d(100%, 0, 0);
    transform: translate3d(100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.prev,
  .carousel-inner > .item.active.left {
    -webkit-transform: translate3d(-100%, 0, 0);
    transform: translate3d(-100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.next.left,
  .carousel-inner > .item.prev.right,
  .carousel-inner > .item.active {
    -webkit-transform: translate3d(0, 0, 0);
    transform: translate3d(0, 0, 0);
    left: 0;
  }
}
.carousel-inner > .active,
.carousel-inner > .next,
.carousel-inner > .prev {
  display: block;
}
.carousel-inner > .active {
  left: 0;
}
.carousel-inner > .next,
.carousel-inner > .prev {
  position: absolute;
  top: 0;
  width: 100%;
}
.carousel-inner > .next {
  left: 100%;
}
.carousel-inner > .prev {
  left: -100%;
}
.carousel-inner > .next.left,
.carousel-inner > .prev.right {
  left: 0;
}
.carousel-inner > .active.left {
  left: -100%;
}
.carousel-inner > .active.right {
  left: 100%;
}
.carousel-control {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  width: 15%;
  opacity: 0.5;
  filter: alpha(opacity=50);
  font-size: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
  background-color: rgba(0, 0, 0, 0);
}
.carousel-control.left {
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
}
.carousel-control.right {
  left: auto;
  right: 0;
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
}
.carousel-control:hover,
.carousel-control:focus {
  outline: 0;
  color: #fff;
  text-decoration: none;
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.carousel-control .icon-prev,
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-left,
.carousel-control .glyphicon-chevron-right {
  position: absolute;
  top: 50%;
  margin-top: -10px;
  z-index: 5;
  display: inline-block;
}
.carousel-control .icon-prev,
.carousel-control .glyphicon-chevron-left {
  left: 50%;
  margin-left: -10px;
}
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-right {
  right: 50%;
  margin-right: -10px;
}
.carousel-control .icon-prev,
.carousel-control .icon-next {
  width: 20px;
  height: 20px;
  line-height: 1;
  font-family: serif;
}
.carousel-control .icon-prev:before {
  content: '\2039';
}
.carousel-control .icon-next:before {
  content: '\203a';
}
.carousel-indicators {
  position: absolute;
  bottom: 10px;
  left: 50%;
  z-index: 15;
  width: 60%;
  margin-left: -30%;
  padding-left: 0;
  list-style: none;
  text-align: center;
}
.carousel-indicators li {
  display: inline-block;
  width: 10px;
  height: 10px;
  margin: 1px;
  text-indent: -999px;
  border: 1px solid #fff;
  border-radius: 10px;
  cursor: pointer;
  background-color: #000 \9;
  background-color: rgba(0, 0, 0, 0);
}
.carousel-indicators .active {
  margin: 0;
  width: 12px;
  height: 12px;
  background-color: #fff;
}
.carousel-caption {
  position: absolute;
  left: 15%;
  right: 15%;
  bottom: 20px;
  z-index: 10;
  padding-top: 20px;
  padding-bottom: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
}
.carousel-caption .btn {
  text-shadow: none;
}
@media screen and (min-width: 768px) {
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-prev,
  .carousel-control .icon-next {
    width: 30px;
    height: 30px;
    margin-top: -10px;
    font-size: 30px;
  }
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .icon-prev {
    margin-left: -10px;
  }
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-next {
    margin-right: -10px;
  }
  .carousel-caption {
    left: 20%;
    right: 20%;
    padding-bottom: 30px;
  }
  .carousel-indicators {
    bottom: 20px;
  }
}
.clearfix:before,
.clearfix:after,
.dl-horizontal dd:before,
.dl-horizontal dd:after,
.container:before,
.container:after,
.container-fluid:before,
.container-fluid:after,
.row:before,
.row:after,
.form-horizontal .form-group:before,
.form-horizontal .form-group:after,
.btn-toolbar:before,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:before,
.btn-group-vertical > .btn-group:after,
.nav:before,
.nav:after,
.navbar:before,
.navbar:after,
.navbar-header:before,
.navbar-header:after,
.navbar-collapse:before,
.navbar-collapse:after,
.pager:before,
.pager:after,
.panel-body:before,
.panel-body:after,
.modal-header:before,
.modal-header:after,
.modal-footer:before,
.modal-footer:after,
.item_buttons:before,
.item_buttons:after {
  content: " ";
  display: table;
}
.clearfix:after,
.dl-horizontal dd:after,
.container:after,
.container-fluid:after,
.row:after,
.form-horizontal .form-group:after,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:after,
.nav:after,
.navbar:after,
.navbar-header:after,
.navbar-collapse:after,
.pager:after,
.panel-body:after,
.modal-header:after,
.modal-footer:after,
.item_buttons:after {
  clear: both;
}
.center-block {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.pull-right {
  float: right !important;
}
.pull-left {
  float: left !important;
}
.hide {
  display: none !important;
}
.show {
  display: block !important;
}
.invisible {
  visibility: hidden;
}
.text-hide {
  font: 0/0 a;
  color: transparent;
  text-shadow: none;
  background-color: transparent;
  border: 0;
}
.hidden {
  display: none !important;
}
.affix {
  position: fixed;
}
@-ms-viewport {
  width: device-width;
}
.visible-xs,
.visible-sm,
.visible-md,
.visible-lg {
  display: none !important;
}
.visible-xs-block,
.visible-xs-inline,
.visible-xs-inline-block,
.visible-sm-block,
.visible-sm-inline,
.visible-sm-inline-block,
.visible-md-block,
.visible-md-inline,
.visible-md-inline-block,
.visible-lg-block,
.visible-lg-inline,
.visible-lg-inline-block {
  display: none !important;
}
@media (max-width: 767px) {
  .visible-xs {
    display: block !important;
  }
  table.visible-xs {
    display: table !important;
  }
  tr.visible-xs {
    display: table-row !important;
  }
  th.visible-xs,
  td.visible-xs {
    display: table-cell !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-block {
    display: block !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline {
    display: inline !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm {
    display: block !important;
  }
  table.visible-sm {
    display: table !important;
  }
  tr.visible-sm {
    display: table-row !important;
  }
  th.visible-sm,
  td.visible-sm {
    display: table-cell !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-block {
    display: block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline {
    display: inline !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md {
    display: block !important;
  }
  table.visible-md {
    display: table !important;
  }
  tr.visible-md {
    display: table-row !important;
  }
  th.visible-md,
  td.visible-md {
    display: table-cell !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-block {
    display: block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline {
    display: inline !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg {
    display: block !important;
  }
  table.visible-lg {
    display: table !important;
  }
  tr.visible-lg {
    display: table-row !important;
  }
  th.visible-lg,
  td.visible-lg {
    display: table-cell !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-block {
    display: block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline {
    display: inline !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline-block {
    display: inline-block !important;
  }
}
@media (max-width: 767px) {
  .hidden-xs {
    display: none !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .hidden-sm {
    display: none !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .hidden-md {
    display: none !important;
  }
}
@media (min-width: 1200px) {
  .hidden-lg {
    display: none !important;
  }
}
.visible-print {
  display: none !important;
}
@media print {
  .visible-print {
    display: block !important;
  }
  table.visible-print {
    display: table !important;
  }
  tr.visible-print {
    display: table-row !important;
  }
  th.visible-print,
  td.visible-print {
    display: table-cell !important;
  }
}
.visible-print-block {
  display: none !important;
}
@media print {
  .visible-print-block {
    display: block !important;
  }
}
.visible-print-inline {
  display: none !important;
}
@media print {
  .visible-print-inline {
    display: inline !important;
  }
}
.visible-print-inline-block {
  display: none !important;
}
@media print {
  .visible-print-inline-block {
    display: inline-block !important;
  }
}
@media print {
  .hidden-print {
    display: none !important;
  }
}
/*!
*
* Font Awesome
*
*/
/*!
 *  Font Awesome 4.7.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
 */
/* FONT PATH
 * -------------------------- */
@font-face {
  font-family: 'FontAwesome';
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.7.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.7.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0') format('woff2'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.7.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.7.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.7.0#fontawesomeregular') format('svg');
  font-weight: normal;
  font-style: normal;
}
.fa {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
/* makes the font 33% larger relative to the icon container */
.fa-lg {
  font-size: 1.33333333em;
  line-height: 0.75em;
  vertical-align: -15%;
}
.fa-2x {
  font-size: 2em;
}
.fa-3x {
  font-size: 3em;
}
.fa-4x {
  font-size: 4em;
}
.fa-5x {
  font-size: 5em;
}
.fa-fw {
  width: 1.28571429em;
  text-align: center;
}
.fa-ul {
  padding-left: 0;
  margin-left: 2.14285714em;
  list-style-type: none;
}
.fa-ul > li {
  position: relative;
}
.fa-li {
  position: absolute;
  left: -2.14285714em;
  width: 2.14285714em;
  top: 0.14285714em;
  text-align: center;
}
.fa-li.fa-lg {
  left: -1.85714286em;
}
.fa-border {
  padding: .2em .25em .15em;
  border: solid 0.08em #eee;
  border-radius: .1em;
}
.fa-pull-left {
  float: left;
}
.fa-pull-right {
  float: right;
}
.fa.fa-pull-left {
  margin-right: .3em;
}
.fa.fa-pull-right {
  margin-left: .3em;
}
/* Deprecated as of 4.4.0 */
.pull-right {
  float: right;
}
.pull-left {
  float: left;
}
.fa.pull-left {
  margin-right: .3em;
}
.fa.pull-right {
  margin-left: .3em;
}
.fa-spin {
  -webkit-animation: fa-spin 2s infinite linear;
  animation: fa-spin 2s infinite linear;
}
.fa-pulse {
  -webkit-animation: fa-spin 1s infinite steps(8);
  animation: fa-spin 1s infinite steps(8);
}
@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
.fa-rotate-90 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=1)";
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2)";
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=3)";
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1)";
  -webkit-transform: scale(-1, 1);
  -ms-transform: scale(-1, 1);
  transform: scale(-1, 1);
}
.fa-flip-vertical {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1)";
  -webkit-transform: scale(1, -1);
  -ms-transform: scale(1, -1);
  transform: scale(1, -1);
}
:root .fa-rotate-90,
:root .fa-rotate-180,
:root .fa-rotate-270,
:root .fa-flip-horizontal,
:root .fa-flip-vertical {
  filter: none;
}
.fa-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.fa-stack-1x,
.fa-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.fa-stack-1x {
  line-height: inherit;
}
.fa-stack-2x {
  font-size: 2em;
}
.fa-inverse {
  color: #fff;
}
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */
.fa-glass:before {
  content: "\f000";
}
.fa-music:before {
  content: "\f001";
}
.fa-search:before {
  content: "\f002";
}
.fa-envelope-o:before {
  content: "\f003";
}
.fa-heart:before {
  content: "\f004";
}
.fa-star:before {
  content: "\f005";
}
.fa-star-o:before {
  content: "\f006";
}
.fa-user:before {
  content: "\f007";
}
.fa-film:before {
  content: "\f008";
}
.fa-th-large:before {
  content: "\f009";
}
.fa-th:before {
  content: "\f00a";
}
.fa-th-list:before {
  content: "\f00b";
}
.fa-check:before {
  content: "\f00c";
}
.fa-remove:before,
.fa-close:before,
.fa-times:before {
  content: "\f00d";
}
.fa-search-plus:before {
  content: "\f00e";
}
.fa-search-minus:before {
  content: "\f010";
}
.fa-power-off:before {
  content: "\f011";
}
.fa-signal:before {
  content: "\f012";
}
.fa-gear:before,
.fa-cog:before {
  content: "\f013";
}
.fa-trash-o:before {
  content: "\f014";
}
.fa-home:before {
  content: "\f015";
}
.fa-file-o:before {
  content: "\f016";
}
.fa-clock-o:before {
  content: "\f017";
}
.fa-road:before {
  content: "\f018";
}
.fa-download:before {
  content: "\f019";
}
.fa-arrow-circle-o-down:before {
  content: "\f01a";
}
.fa-arrow-circle-o-up:before {
  content: "\f01b";
}
.fa-inbox:before {
  content: "\f01c";
}
.fa-play-circle-o:before {
  content: "\f01d";
}
.fa-rotate-right:before,
.fa-repeat:before {
  content: "\f01e";
}
.fa-refresh:before {
  content: "\f021";
}
.fa-list-alt:before {
  content: "\f022";
}
.fa-lock:before {
  content: "\f023";
}
.fa-flag:before {
  content: "\f024";
}
.fa-headphones:before {
  content: "\f025";
}
.fa-volume-off:before {
  content: "\f026";
}
.fa-volume-down:before {
  content: "\f027";
}
.fa-volume-up:before {
  content: "\f028";
}
.fa-qrcode:before {
  content: "\f029";
}
.fa-barcode:before {
  content: "\f02a";
}
.fa-tag:before {
  content: "\f02b";
}
.fa-tags:before {
  content: "\f02c";
}
.fa-book:before {
  content: "\f02d";
}
.fa-bookmark:before {
  content: "\f02e";
}
.fa-print:before {
  content: "\f02f";
}
.fa-camera:before {
  content: "\f030";
}
.fa-font:before {
  content: "\f031";
}
.fa-bold:before {
  content: "\f032";
}
.fa-italic:before {
  content: "\f033";
}
.fa-text-height:before {
  content: "\f034";
}
.fa-text-width:before {
  content: "\f035";
}
.fa-align-left:before {
  content: "\f036";
}
.fa-align-center:before {
  content: "\f037";
}
.fa-align-right:before {
  content: "\f038";
}
.fa-align-justify:before {
  content: "\f039";
}
.fa-list:before {
  content: "\f03a";
}
.fa-dedent:before,
.fa-outdent:before {
  content: "\f03b";
}
.fa-indent:before {
  content: "\f03c";
}
.fa-video-camera:before {
  content: "\f03d";
}
.fa-photo:before,
.fa-image:before,
.fa-picture-o:before {
  content: "\f03e";
}
.fa-pencil:before {
  content: "\f040";
}
.fa-map-marker:before {
  content: "\f041";
}
.fa-adjust:before {
  content: "\f042";
}
.fa-tint:before {
  content: "\f043";
}
.fa-edit:before,
.fa-pencil-square-o:before {
  content: "\f044";
}
.fa-share-square-o:before {
  content: "\f045";
}
.fa-check-square-o:before {
  content: "\f046";
}
.fa-arrows:before {
  content: "\f047";
}
.fa-step-backward:before {
  content: "\f048";
}
.fa-fast-backward:before {
  content: "\f049";
}
.fa-backward:before {
  content: "\f04a";
}
.fa-play:before {
  content: "\f04b";
}
.fa-pause:before {
  content: "\f04c";
}
.fa-stop:before {
  content: "\f04d";
}
.fa-forward:before {
  content: "\f04e";
}
.fa-fast-forward:before {
  content: "\f050";
}
.fa-step-forward:before {
  content: "\f051";
}
.fa-eject:before {
  content: "\f052";
}
.fa-chevron-left:before {
  content: "\f053";
}
.fa-chevron-right:before {
  content: "\f054";
}
.fa-plus-circle:before {
  content: "\f055";
}
.fa-minus-circle:before {
  content: "\f056";
}
.fa-times-circle:before {
  content: "\f057";
}
.fa-check-circle:before {
  content: "\f058";
}
.fa-question-circle:before {
  content: "\f059";
}
.fa-info-circle:before {
  content: "\f05a";
}
.fa-crosshairs:before {
  content: "\f05b";
}
.fa-times-circle-o:before {
  content: "\f05c";
}
.fa-check-circle-o:before {
  content: "\f05d";
}
.fa-ban:before {
  content: "\f05e";
}
.fa-arrow-left:before {
  content: "\f060";
}
.fa-arrow-right:before {
  content: "\f061";
}
.fa-arrow-up:before {
  content: "\f062";
}
.fa-arrow-down:before {
  content: "\f063";
}
.fa-mail-forward:before,
.fa-share:before {
  content: "\f064";
}
.fa-expand:before {
  content: "\f065";
}
.fa-compress:before {
  content: "\f066";
}
.fa-plus:before {
  content: "\f067";
}
.fa-minus:before {
  content: "\f068";
}
.fa-asterisk:before {
  content: "\f069";
}
.fa-exclamation-circle:before {
  content: "\f06a";
}
.fa-gift:before {
  content: "\f06b";
}
.fa-leaf:before {
  content: "\f06c";
}
.fa-fire:before {
  content: "\f06d";
}
.fa-eye:before {
  content: "\f06e";
}
.fa-eye-slash:before {
  content: "\f070";
}
.fa-warning:before,
.fa-exclamation-triangle:before {
  content: "\f071";
}
.fa-plane:before {
  content: "\f072";
}
.fa-calendar:before {
  content: "\f073";
}
.fa-random:before {
  content: "\f074";
}
.fa-comment:before {
  content: "\f075";
}
.fa-magnet:before {
  content: "\f076";
}
.fa-chevron-up:before {
  content: "\f077";
}
.fa-chevron-down:before {
  content: "\f078";
}
.fa-retweet:before {
  content: "\f079";
}
.fa-shopping-cart:before {
  content: "\f07a";
}
.fa-folder:before {
  content: "\f07b";
}
.fa-folder-open:before {
  content: "\f07c";
}
.fa-arrows-v:before {
  content: "\f07d";
}
.fa-arrows-h:before {
  content: "\f07e";
}
.fa-bar-chart-o:before,
.fa-bar-chart:before {
  content: "\f080";
}
.fa-twitter-square:before {
  content: "\f081";
}
.fa-facebook-square:before {
  content: "\f082";
}
.fa-camera-retro:before {
  content: "\f083";
}
.fa-key:before {
  content: "\f084";
}
.fa-gears:before,
.fa-cogs:before {
  content: "\f085";
}
.fa-comments:before {
  content: "\f086";
}
.fa-thumbs-o-up:before {
  content: "\f087";
}
.fa-thumbs-o-down:before {
  content: "\f088";
}
.fa-star-half:before {
  content: "\f089";
}
.fa-heart-o:before {
  content: "\f08a";
}
.fa-sign-out:before {
  content: "\f08b";
}
.fa-linkedin-square:before {
  content: "\f08c";
}
.fa-thumb-tack:before {
  content: "\f08d";
}
.fa-external-link:before {
  content: "\f08e";
}
.fa-sign-in:before {
  content: "\f090";
}
.fa-trophy:before {
  content: "\f091";
}
.fa-github-square:before {
  content: "\f092";
}
.fa-upload:before {
  content: "\f093";
}
.fa-lemon-o:before {
  content: "\f094";
}
.fa-phone:before {
  content: "\f095";
}
.fa-square-o:before {
  content: "\f096";
}
.fa-bookmark-o:before {
  content: "\f097";
}
.fa-phone-square:before {
  content: "\f098";
}
.fa-twitter:before {
  content: "\f099";
}
.fa-facebook-f:before,
.fa-facebook:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.fa-feed:before,
.fa-rss:before {
  content: "\f09e";
}
.fa-hdd-o:before {
  content: "\f0a0";
}
.fa-bullhorn:before {
  content: "\f0a1";
}
.fa-bell:before {
  content: "\f0f3";
}
.fa-certificate:before {
  content: "\f0a3";
}
.fa-hand-o-right:before {
  content: "\f0a4";
}
.fa-hand-o-left:before {
  content: "\f0a5";
}
.fa-hand-o-up:before {
  content: "\f0a6";
}
.fa-hand-o-down:before {
  content: "\f0a7";
}
.fa-arrow-circle-left:before {
  content: "\f0a8";
}
.fa-arrow-circle-right:before {
  content: "\f0a9";
}
.fa-arrow-circle-up:before {
  content: "\f0aa";
}
.fa-arrow-circle-down:before {
  content: "\f0ab";
}
.fa-globe:before {
  content: "\f0ac";
}
.fa-wrench:before {
  content: "\f0ad";
}
.fa-tasks:before {
  content: "\f0ae";
}
.fa-filter:before {
  content: "\f0b0";
}
.fa-briefcase:before {
  content: "\f0b1";
}
.fa-arrows-alt:before {
  content: "\f0b2";
}
.fa-group:before,
.fa-users:before {
  content: "\f0c0";
}
.fa-chain:before,
.fa-link:before {
  content: "\f0c1";
}
.fa-cloud:before {
  content: "\f0c2";
}
.fa-flask:before {
  content: "\f0c3";
}
.fa-cut:before,
.fa-scissors:before {
  content: "\f0c4";
}
.fa-copy:before,
.fa-files-o:before {
  content: "\f0c5";
}
.fa-paperclip:before {
  content: "\f0c6";
}
.fa-save:before,
.fa-floppy-o:before {
  content: "\f0c7";
}
.fa-square:before {
  content: "\f0c8";
}
.fa-navicon:before,
.fa-reorder:before,
.fa-bars:before {
  content: "\f0c9";
}
.fa-list-ul:before {
  content: "\f0ca";
}
.fa-list-ol:before {
  content: "\f0cb";
}
.fa-strikethrough:before {
  content: "\f0cc";
}
.fa-underline:before {
  content: "\f0cd";
}
.fa-table:before {
  content: "\f0ce";
}
.fa-magic:before {
  content: "\f0d0";
}
.fa-truck:before {
  content: "\f0d1";
}
.fa-pinterest:before {
  content: "\f0d2";
}
.fa-pinterest-square:before {
  content: "\f0d3";
}
.fa-google-plus-square:before {
  content: "\f0d4";
}
.fa-google-plus:before {
  content: "\f0d5";
}
.fa-money:before {
  content: "\f0d6";
}
.fa-caret-down:before {
  content: "\f0d7";
}
.fa-caret-up:before {
  content: "\f0d8";
}
.fa-caret-left:before {
  content: "\f0d9";
}
.fa-caret-right:before {
  content: "\f0da";
}
.fa-columns:before {
  content: "\f0db";
}
.fa-unsorted:before,
.fa-sort:before {
  content: "\f0dc";
}
.fa-sort-down:before,
.fa-sort-desc:before {
  content: "\f0dd";
}
.fa-sort-up:before,
.fa-sort-asc:before {
  content: "\f0de";
}
.fa-envelope:before {
  content: "\f0e0";
}
.fa-linkedin:before {
  content: "\f0e1";
}
.fa-rotate-left:before,
.fa-undo:before {
  content: "\f0e2";
}
.fa-legal:before,
.fa-gavel:before {
  content: "\f0e3";
}
.fa-dashboard:before,
.fa-tachometer:before {
  content: "\f0e4";
}
.fa-comment-o:before {
  content: "\f0e5";
}
.fa-comments-o:before {
  content: "\f0e6";
}
.fa-flash:before,
.fa-bolt:before {
  content: "\f0e7";
}
.fa-sitemap:before {
  content: "\f0e8";
}
.fa-umbrella:before {
  content: "\f0e9";
}
.fa-paste:before,
.fa-clipboard:before {
  content: "\f0ea";
}
.fa-lightbulb-o:before {
  content: "\f0eb";
}
.fa-exchange:before {
  content: "\f0ec";
}
.fa-cloud-download:before {
  content: "\f0ed";
}
.fa-cloud-upload:before {
  content: "\f0ee";
}
.fa-user-md:before {
  content: "\f0f0";
}
.fa-stethoscope:before {
  content: "\f0f1";
}
.fa-suitcase:before {
  content: "\f0f2";
}
.fa-bell-o:before {
  content: "\f0a2";
}
.fa-coffee:before {
  content: "\f0f4";
}
.fa-cutlery:before {
  content: "\f0f5";
}
.fa-file-text-o:before {
  content: "\f0f6";
}
.fa-building-o:before {
  content: "\f0f7";
}
.fa-hospital-o:before {
  content: "\f0f8";
}
.fa-ambulance:before {
  content: "\f0f9";
}
.fa-medkit:before {
  content: "\f0fa";
}
.fa-fighter-jet:before {
  content: "\f0fb";
}
.fa-beer:before {
  content: "\f0fc";
}
.fa-h-square:before {
  content: "\f0fd";
}
.fa-plus-square:before {
  content: "\f0fe";
}
.fa-angle-double-left:before {
  content: "\f100";
}
.fa-angle-double-right:before {
  content: "\f101";
}
.fa-angle-double-up:before {
  content: "\f102";
}
.fa-angle-double-down:before {
  content: "\f103";
}
.fa-angle-left:before {
  content: "\f104";
}
.fa-angle-right:before {
  content: "\f105";
}
.fa-angle-up:before {
  content: "\f106";
}
.fa-angle-down:before {
  content: "\f107";
}
.fa-desktop:before {
  content: "\f108";
}
.fa-laptop:before {
  content: "\f109";
}
.fa-tablet:before {
  content: "\f10a";
}
.fa-mobile-phone:before,
.fa-mobile:before {
  content: "\f10b";
}
.fa-circle-o:before {
  content: "\f10c";
}
.fa-quote-left:before {
  content: "\f10d";
}
.fa-quote-right:before {
  content: "\f10e";
}
.fa-spinner:before {
  content: "\f110";
}
.fa-circle:before {
  content: "\f111";
}
.fa-mail-reply:before,
.fa-reply:before {
  content: "\f112";
}
.fa-github-alt:before {
  content: "\f113";
}
.fa-folder-o:before {
  content: "\f114";
}
.fa-folder-open-o:before {
  content: "\f115";
}
.fa-smile-o:before {
  content: "\f118";
}
.fa-frown-o:before {
  content: "\f119";
}
.fa-meh-o:before {
  content: "\f11a";
}
.fa-gamepad:before {
  content: "\f11b";
}
.fa-keyboard-o:before {
  content: "\f11c";
}
.fa-flag-o:before {
  content: "\f11d";
}
.fa-flag-checkered:before {
  content: "\f11e";
}
.fa-terminal:before {
  content: "\f120";
}
.fa-code:before {
  content: "\f121";
}
.fa-mail-reply-all:before,
.fa-reply-all:before {
  content: "\f122";
}
.fa-star-half-empty:before,
.fa-star-half-full:before,
.fa-star-half-o:before {
  content: "\f123";
}
.fa-location-arrow:before {
  content: "\f124";
}
.fa-crop:before {
  content: "\f125";
}
.fa-code-fork:before {
  content: "\f126";
}
.fa-unlink:before,
.fa-chain-broken:before {
  content: "\f127";
}
.fa-question:before {
  content: "\f128";
}
.fa-info:before {
  content: "\f129";
}
.fa-exclamation:before {
  content: "\f12a";
}
.fa-superscript:before {
  content: "\f12b";
}
.fa-subscript:before {
  content: "\f12c";
}
.fa-eraser:before {
  content: "\f12d";
}
.fa-puzzle-piece:before {
  content: "\f12e";
}
.fa-microphone:before {
  content: "\f130";
}
.fa-microphone-slash:before {
  content: "\f131";
}
.fa-shield:before {
  content: "\f132";
}
.fa-calendar-o:before {
  content: "\f133";
}
.fa-fire-extinguisher:before {
  content: "\f134";
}
.fa-rocket:before {
  content: "\f135";
}
.fa-maxcdn:before {
  content: "\f136";
}
.fa-chevron-circle-left:before {
  content: "\f137";
}
.fa-chevron-circle-right:before {
  content: "\f138";
}
.fa-chevron-circle-up:before {
  content: "\f139";
}
.fa-chevron-circle-down:before {
  content: "\f13a";
}
.fa-html5:before {
  content: "\f13b";
}
.fa-css3:before {
  content: "\f13c";
}
.fa-anchor:before {
  content: "\f13d";
}
.fa-unlock-alt:before {
  content: "\f13e";
}
.fa-bullseye:before {
  content: "\f140";
}
.fa-ellipsis-h:before {
  content: "\f141";
}
.fa-ellipsis-v:before {
  content: "\f142";
}
.fa-rss-square:before {
  content: "\f143";
}
.fa-play-circle:before {
  content: "\f144";
}
.fa-ticket:before {
  content: "\f145";
}
.fa-minus-square:before {
  content: "\f146";
}
.fa-minus-square-o:before {
  content: "\f147";
}
.fa-level-up:before {
  content: "\f148";
}
.fa-level-down:before {
  content: "\f149";
}
.fa-check-square:before {
  content: "\f14a";
}
.fa-pencil-square:before {
  content: "\f14b";
}
.fa-external-link-square:before {
  content: "\f14c";
}
.fa-share-square:before {
  content: "\f14d";
}
.fa-compass:before {
  content: "\f14e";
}
.fa-toggle-down:before,
.fa-caret-square-o-down:before {
  content: "\f150";
}
.fa-toggle-up:before,
.fa-caret-square-o-up:before {
  content: "\f151";
}
.fa-toggle-right:before,
.fa-caret-square-o-right:before {
  content: "\f152";
}
.fa-euro:before,
.fa-eur:before {
  content: "\f153";
}
.fa-gbp:before {
  content: "\f154";
}
.fa-dollar:before,
.fa-usd:before {
  content: "\f155";
}
.fa-rupee:before,
.fa-inr:before {
  content: "\f156";
}
.fa-cny:before,
.fa-rmb:before,
.fa-yen:before,
.fa-jpy:before {
  content: "\f157";
}
.fa-ruble:before,
.fa-rouble:before,
.fa-rub:before {
  content: "\f158";
}
.fa-won:before,
.fa-krw:before {
  content: "\f159";
}
.fa-bitcoin:before,
.fa-btc:before {
  content: "\f15a";
}
.fa-file:before {
  content: "\f15b";
}
.fa-file-text:before {
  content: "\f15c";
}
.fa-sort-alpha-asc:before {
  content: "\f15d";
}
.fa-sort-alpha-desc:before {
  content: "\f15e";
}
.fa-sort-amount-asc:before {
  content: "\f160";
}
.fa-sort-amount-desc:before {
  content: "\f161";
}
.fa-sort-numeric-asc:before {
  content: "\f162";
}
.fa-sort-numeric-desc:before {
  content: "\f163";
}
.fa-thumbs-up:before {
  content: "\f164";
}
.fa-thumbs-down:before {
  content: "\f165";
}
.fa-youtube-square:before {
  content: "\f166";
}
.fa-youtube:before {
  content: "\f167";
}
.fa-xing:before {
  content: "\f168";
}
.fa-xing-square:before {
  content: "\f169";
}
.fa-youtube-play:before {
  content: "\f16a";
}
.fa-dropbox:before {
  content: "\f16b";
}
.fa-stack-overflow:before {
  content: "\f16c";
}
.fa-instagram:before {
  content: "\f16d";
}
.fa-flickr:before {
  content: "\f16e";
}
.fa-adn:before {
  content: "\f170";
}
.fa-bitbucket:before {
  content: "\f171";
}
.fa-bitbucket-square:before {
  content: "\f172";
}
.fa-tumblr:before {
  content: "\f173";
}
.fa-tumblr-square:before {
  content: "\f174";
}
.fa-long-arrow-down:before {
  content: "\f175";
}
.fa-long-arrow-up:before {
  content: "\f176";
}
.fa-long-arrow-left:before {
  content: "\f177";
}
.fa-long-arrow-right:before {
  content: "\f178";
}
.fa-apple:before {
  content: "\f179";
}
.fa-windows:before {
  content: "\f17a";
}
.fa-android:before {
  content: "\f17b";
}
.fa-linux:before {
  content: "\f17c";
}
.fa-dribbble:before {
  content: "\f17d";
}
.fa-skype:before {
  content: "\f17e";
}
.fa-foursquare:before {
  content: "\f180";
}
.fa-trello:before {
  content: "\f181";
}
.fa-female:before {
  content: "\f182";
}
.fa-male:before {
  content: "\f183";
}
.fa-gittip:before,
.fa-gratipay:before {
  content: "\f184";
}
.fa-sun-o:before {
  content: "\f185";
}
.fa-moon-o:before {
  content: "\f186";
}
.fa-archive:before {
  content: "\f187";
}
.fa-bug:before {
  content: "\f188";
}
.fa-vk:before {
  content: "\f189";
}
.fa-weibo:before {
  content: "\f18a";
}
.fa-renren:before {
  content: "\f18b";
}
.fa-pagelines:before {
  content: "\f18c";
}
.fa-stack-exchange:before {
  content: "\f18d";
}
.fa-arrow-circle-o-right:before {
  content: "\f18e";
}
.fa-arrow-circle-o-left:before {
  content: "\f190";
}
.fa-toggle-left:before,
.fa-caret-square-o-left:before {
  content: "\f191";
}
.fa-dot-circle-o:before {
  content: "\f192";
}
.fa-wheelchair:before {
  content: "\f193";
}
.fa-vimeo-square:before {
  content: "\f194";
}
.fa-turkish-lira:before,
.fa-try:before {
  content: "\f195";
}
.fa-plus-square-o:before {
  content: "\f196";
}
.fa-space-shuttle:before {
  content: "\f197";
}
.fa-slack:before {
  content: "\f198";
}
.fa-envelope-square:before {
  content: "\f199";
}
.fa-wordpress:before {
  content: "\f19a";
}
.fa-openid:before {
  content: "\f19b";
}
.fa-institution:before,
.fa-bank:before,
.fa-university:before {
  content: "\f19c";
}
.fa-mortar-board:before,
.fa-graduation-cap:before {
  content: "\f19d";
}
.fa-yahoo:before {
  content: "\f19e";
}
.fa-google:before {
  content: "\f1a0";
}
.fa-reddit:before {
  content: "\f1a1";
}
.fa-reddit-square:before {
  content: "\f1a2";
}
.fa-stumbleupon-circle:before {
  content: "\f1a3";
}
.fa-stumbleupon:before {
  content: "\f1a4";
}
.fa-delicious:before {
  content: "\f1a5";
}
.fa-digg:before {
  content: "\f1a6";
}
.fa-pied-piper-pp:before {
  content: "\f1a7";
}
.fa-pied-piper-alt:before {
  content: "\f1a8";
}
.fa-drupal:before {
  content: "\f1a9";
}
.fa-joomla:before {
  content: "\f1aa";
}
.fa-language:before {
  content: "\f1ab";
}
.fa-fax:before {
  content: "\f1ac";
}
.fa-building:before {
  content: "\f1ad";
}
.fa-child:before {
  content: "\f1ae";
}
.fa-paw:before {
  content: "\f1b0";
}
.fa-spoon:before {
  content: "\f1b1";
}
.fa-cube:before {
  content: "\f1b2";
}
.fa-cubes:before {
  content: "\f1b3";
}
.fa-behance:before {
  content: "\f1b4";
}
.fa-behance-square:before {
  content: "\f1b5";
}
.fa-steam:before {
  content: "\f1b6";
}
.fa-steam-square:before {
  content: "\f1b7";
}
.fa-recycle:before {
  content: "\f1b8";
}
.fa-automobile:before,
.fa-car:before {
  content: "\f1b9";
}
.fa-cab:before,
.fa-taxi:before {
  content: "\f1ba";
}
.fa-tree:before {
  content: "\f1bb";
}
.fa-spotify:before {
  content: "\f1bc";
}
.fa-deviantart:before {
  content: "\f1bd";
}
.fa-soundcloud:before {
  content: "\f1be";
}
.fa-database:before {
  content: "\f1c0";
}
.fa-file-pdf-o:before {
  content: "\f1c1";
}
.fa-file-word-o:before {
  content: "\f1c2";
}
.fa-file-excel-o:before {
  content: "\f1c3";
}
.fa-file-powerpoint-o:before {
  content: "\f1c4";
}
.fa-file-photo-o:before,
.fa-file-picture-o:before,
.fa-file-image-o:before {
  content: "\f1c5";
}
.fa-file-zip-o:before,
.fa-file-archive-o:before {
  content: "\f1c6";
}
.fa-file-sound-o:before,
.fa-file-audio-o:before {
  content: "\f1c7";
}
.fa-file-movie-o:before,
.fa-file-video-o:before {
  content: "\f1c8";
}
.fa-file-code-o:before {
  content: "\f1c9";
}
.fa-vine:before {
  content: "\f1ca";
}
.fa-codepen:before {
  content: "\f1cb";
}
.fa-jsfiddle:before {
  content: "\f1cc";
}
.fa-life-bouy:before,
.fa-life-buoy:before,
.fa-life-saver:before,
.fa-support:before,
.fa-life-ring:before {
  content: "\f1cd";
}
.fa-circle-o-notch:before {
  content: "\f1ce";
}
.fa-ra:before,
.fa-resistance:before,
.fa-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.fa-y-combinator-square:before,
.fa-yc-square:before,
.fa-hacker-news:before {
  content: "\f1d4";
}
.fa-tencent-weibo:before {
  content: "\f1d5";
}
.fa-qq:before {
  content: "\f1d6";
}
.fa-wechat:before,
.fa-weixin:before {
  content: "\f1d7";
}
.fa-send:before,
.fa-paper-plane:before {
  content: "\f1d8";
}
.fa-send-o:before,
.fa-paper-plane-o:before {
  content: "\f1d9";
}
.fa-history:before {
  content: "\f1da";
}
.fa-circle-thin:before {
  content: "\f1db";
}
.fa-header:before {
  content: "\f1dc";
}
.fa-paragraph:before {
  content: "\f1dd";
}
.fa-sliders:before {
  content: "\f1de";
}
.fa-share-alt:before {
  content: "\f1e0";
}
.fa-share-alt-square:before {
  content: "\f1e1";
}
.fa-bomb:before {
  content: "\f1e2";
}
.fa-soccer-ball-o:before,
.fa-futbol-o:before {
  content: "\f1e3";
}
.fa-tty:before {
  content: "\f1e4";
}
.fa-binoculars:before {
  content: "\f1e5";
}
.fa-plug:before {
  content: "\f1e6";
}
.fa-slideshare:before {
  content: "\f1e7";
}
.fa-twitch:before {
  content: "\f1e8";
}
.fa-yelp:before {
  content: "\f1e9";
}
.fa-newspaper-o:before {
  content: "\f1ea";
}
.fa-wifi:before {
  content: "\f1eb";
}
.fa-calculator:before {
  content: "\f1ec";
}
.fa-paypal:before {
  content: "\f1ed";
}
.fa-google-wallet:before {
  content: "\f1ee";
}
.fa-cc-visa:before {
  content: "\f1f0";
}
.fa-cc-mastercard:before {
  content: "\f1f1";
}
.fa-cc-discover:before {
  content: "\f1f2";
}
.fa-cc-amex:before {
  content: "\f1f3";
}
.fa-cc-paypal:before {
  content: "\f1f4";
}
.fa-cc-stripe:before {
  content: "\f1f5";
}
.fa-bell-slash:before {
  content: "\f1f6";
}
.fa-bell-slash-o:before {
  content: "\f1f7";
}
.fa-trash:before {
  content: "\f1f8";
}
.fa-copyright:before {
  content: "\f1f9";
}
.fa-at:before {
  content: "\f1fa";
}
.fa-eyedropper:before {
  content: "\f1fb";
}
.fa-paint-brush:before {
  content: "\f1fc";
}
.fa-birthday-cake:before {
  content: "\f1fd";
}
.fa-area-chart:before {
  content: "\f1fe";
}
.fa-pie-chart:before {
  content: "\f200";
}
.fa-line-chart:before {
  content: "\f201";
}
.fa-lastfm:before {
  content: "\f202";
}
.fa-lastfm-square:before {
  content: "\f203";
}
.fa-toggle-off:before {
  content: "\f204";
}
.fa-toggle-on:before {
  content: "\f205";
}
.fa-bicycle:before {
  content: "\f206";
}
.fa-bus:before {
  content: "\f207";
}
.fa-ioxhost:before {
  content: "\f208";
}
.fa-angellist:before {
  content: "\f209";
}
.fa-cc:before {
  content: "\f20a";
}
.fa-shekel:before,
.fa-sheqel:before,
.fa-ils:before {
  content: "\f20b";
}
.fa-meanpath:before {
  content: "\f20c";
}
.fa-buysellads:before {
  content: "\f20d";
}
.fa-connectdevelop:before {
  content: "\f20e";
}
.fa-dashcube:before {
  content: "\f210";
}
.fa-forumbee:before {
  content: "\f211";
}
.fa-leanpub:before {
  content: "\f212";
}
.fa-sellsy:before {
  content: "\f213";
}
.fa-shirtsinbulk:before {
  content: "\f214";
}
.fa-simplybuilt:before {
  content: "\f215";
}
.fa-skyatlas:before {
  content: "\f216";
}
.fa-cart-plus:before {
  content: "\f217";
}
.fa-cart-arrow-down:before {
  content: "\f218";
}
.fa-diamond:before {
  content: "\f219";
}
.fa-ship:before {
  content: "\f21a";
}
.fa-user-secret:before {
  content: "\f21b";
}
.fa-motorcycle:before {
  content: "\f21c";
}
.fa-street-view:before {
  content: "\f21d";
}
.fa-heartbeat:before {
  content: "\f21e";
}
.fa-venus:before {
  content: "\f221";
}
.fa-mars:before {
  content: "\f222";
}
.fa-mercury:before {
  content: "\f223";
}
.fa-intersex:before,
.fa-transgender:before {
  content: "\f224";
}
.fa-transgender-alt:before {
  content: "\f225";
}
.fa-venus-double:before {
  content: "\f226";
}
.fa-mars-double:before {
  content: "\f227";
}
.fa-venus-mars:before {
  content: "\f228";
}
.fa-mars-stroke:before {
  content: "\f229";
}
.fa-mars-stroke-v:before {
  content: "\f22a";
}
.fa-mars-stroke-h:before {
  content: "\f22b";
}
.fa-neuter:before {
  content: "\f22c";
}
.fa-genderless:before {
  content: "\f22d";
}
.fa-facebook-official:before {
  content: "\f230";
}
.fa-pinterest-p:before {
  content: "\f231";
}
.fa-whatsapp:before {
  content: "\f232";
}
.fa-server:before {
  content: "\f233";
}
.fa-user-plus:before {
  content: "\f234";
}
.fa-user-times:before {
  content: "\f235";
}
.fa-hotel:before,
.fa-bed:before {
  content: "\f236";
}
.fa-viacoin:before {
  content: "\f237";
}
.fa-train:before {
  content: "\f238";
}
.fa-subway:before {
  content: "\f239";
}
.fa-medium:before {
  content: "\f23a";
}
.fa-yc:before,
.fa-y-combinator:before {
  content: "\f23b";
}
.fa-optin-monster:before {
  content: "\f23c";
}
.fa-opencart:before {
  content: "\f23d";
}
.fa-expeditedssl:before {
  content: "\f23e";
}
.fa-battery-4:before,
.fa-battery:before,
.fa-battery-full:before {
  content: "\f240";
}
.fa-battery-3:before,
.fa-battery-three-quarters:before {
  content: "\f241";
}
.fa-battery-2:before,
.fa-battery-half:before {
  content: "\f242";
}
.fa-battery-1:before,
.fa-battery-quarter:before {
  content: "\f243";
}
.fa-battery-0:before,
.fa-battery-empty:before {
  content: "\f244";
}
.fa-mouse-pointer:before {
  content: "\f245";
}
.fa-i-cursor:before {
  content: "\f246";
}
.fa-object-group:before {
  content: "\f247";
}
.fa-object-ungroup:before {
  content: "\f248";
}
.fa-sticky-note:before {
  content: "\f249";
}
.fa-sticky-note-o:before {
  content: "\f24a";
}
.fa-cc-jcb:before {
  content: "\f24b";
}
.fa-cc-diners-club:before {
  content: "\f24c";
}
.fa-clone:before {
  content: "\f24d";
}
.fa-balance-scale:before {
  content: "\f24e";
}
.fa-hourglass-o:before {
  content: "\f250";
}
.fa-hourglass-1:before,
.fa-hourglass-start:before {
  content: "\f251";
}
.fa-hourglass-2:before,
.fa-hourglass-half:before {
  content: "\f252";
}
.fa-hourglass-3:before,
.fa-hourglass-end:before {
  content: "\f253";
}
.fa-hourglass:before {
  content: "\f254";
}
.fa-hand-grab-o:before,
.fa-hand-rock-o:before {
  content: "\f255";
}
.fa-hand-stop-o:before,
.fa-hand-paper-o:before {
  content: "\f256";
}
.fa-hand-scissors-o:before {
  content: "\f257";
}
.fa-hand-lizard-o:before {
  content: "\f258";
}
.fa-hand-spock-o:before {
  content: "\f259";
}
.fa-hand-pointer-o:before {
  content: "\f25a";
}
.fa-hand-peace-o:before {
  content: "\f25b";
}
.fa-trademark:before {
  content: "\f25c";
}
.fa-registered:before {
  content: "\f25d";
}
.fa-creative-commons:before {
  content: "\f25e";
}
.fa-gg:before {
  content: "\f260";
}
.fa-gg-circle:before {
  content: "\f261";
}
.fa-tripadvisor:before {
  content: "\f262";
}
.fa-odnoklassniki:before {
  content: "\f263";
}
.fa-odnoklassniki-square:before {
  content: "\f264";
}
.fa-get-pocket:before {
  content: "\f265";
}
.fa-wikipedia-w:before {
  content: "\f266";
}
.fa-safari:before {
  content: "\f267";
}
.fa-chrome:before {
  content: "\f268";
}
.fa-firefox:before {
  content: "\f269";
}
.fa-opera:before {
  content: "\f26a";
}
.fa-internet-explorer:before {
  content: "\f26b";
}
.fa-tv:before,
.fa-television:before {
  content: "\f26c";
}
.fa-contao:before {
  content: "\f26d";
}
.fa-500px:before {
  content: "\f26e";
}
.fa-amazon:before {
  content: "\f270";
}
.fa-calendar-plus-o:before {
  content: "\f271";
}
.fa-calendar-minus-o:before {
  content: "\f272";
}
.fa-calendar-times-o:before {
  content: "\f273";
}
.fa-calendar-check-o:before {
  content: "\f274";
}
.fa-industry:before {
  content: "\f275";
}
.fa-map-pin:before {
  content: "\f276";
}
.fa-map-signs:before {
  content: "\f277";
}
.fa-map-o:before {
  content: "\f278";
}
.fa-map:before {
  content: "\f279";
}
.fa-commenting:before {
  content: "\f27a";
}
.fa-commenting-o:before {
  content: "\f27b";
}
.fa-houzz:before {
  content: "\f27c";
}
.fa-vimeo:before {
  content: "\f27d";
}
.fa-black-tie:before {
  content: "\f27e";
}
.fa-fonticons:before {
  content: "\f280";
}
.fa-reddit-alien:before {
  content: "\f281";
}
.fa-edge:before {
  content: "\f282";
}
.fa-credit-card-alt:before {
  content: "\f283";
}
.fa-codiepie:before {
  content: "\f284";
}
.fa-modx:before {
  content: "\f285";
}
.fa-fort-awesome:before {
  content: "\f286";
}
.fa-usb:before {
  content: "\f287";
}
.fa-product-hunt:before {
  content: "\f288";
}
.fa-mixcloud:before {
  content: "\f289";
}
.fa-scribd:before {
  content: "\f28a";
}
.fa-pause-circle:before {
  content: "\f28b";
}
.fa-pause-circle-o:before {
  content: "\f28c";
}
.fa-stop-circle:before {
  content: "\f28d";
}
.fa-stop-circle-o:before {
  content: "\f28e";
}
.fa-shopping-bag:before {
  content: "\f290";
}
.fa-shopping-basket:before {
  content: "\f291";
}
.fa-hashtag:before {
  content: "\f292";
}
.fa-bluetooth:before {
  content: "\f293";
}
.fa-bluetooth-b:before {
  content: "\f294";
}
.fa-percent:before {
  content: "\f295";
}
.fa-gitlab:before {
  content: "\f296";
}
.fa-wpbeginner:before {
  content: "\f297";
}
.fa-wpforms:before {
  content: "\f298";
}
.fa-envira:before {
  content: "\f299";
}
.fa-universal-access:before {
  content: "\f29a";
}
.fa-wheelchair-alt:before {
  content: "\f29b";
}
.fa-question-circle-o:before {
  content: "\f29c";
}
.fa-blind:before {
  content: "\f29d";
}
.fa-audio-description:before {
  content: "\f29e";
}
.fa-volume-control-phone:before {
  content: "\f2a0";
}
.fa-braille:before {
  content: "\f2a1";
}
.fa-assistive-listening-systems:before {
  content: "\f2a2";
}
.fa-asl-interpreting:before,
.fa-american-sign-language-interpreting:before {
  content: "\f2a3";
}
.fa-deafness:before,
.fa-hard-of-hearing:before,
.fa-deaf:before {
  content: "\f2a4";
}
.fa-glide:before {
  content: "\f2a5";
}
.fa-glide-g:before {
  content: "\f2a6";
}
.fa-signing:before,
.fa-sign-language:before {
  content: "\f2a7";
}
.fa-low-vision:before {
  content: "\f2a8";
}
.fa-viadeo:before {
  content: "\f2a9";
}
.fa-viadeo-square:before {
  content: "\f2aa";
}
.fa-snapchat:before {
  content: "\f2ab";
}
.fa-snapchat-ghost:before {
  content: "\f2ac";
}
.fa-snapchat-square:before {
  content: "\f2ad";
}
.fa-pied-piper:before {
  content: "\f2ae";
}
.fa-first-order:before {
  content: "\f2b0";
}
.fa-yoast:before {
  content: "\f2b1";
}
.fa-themeisle:before {
  content: "\f2b2";
}
.fa-google-plus-circle:before,
.fa-google-plus-official:before {
  content: "\f2b3";
}
.fa-fa:before,
.fa-font-awesome:before {
  content: "\f2b4";
}
.fa-handshake-o:before {
  content: "\f2b5";
}
.fa-envelope-open:before {
  content: "\f2b6";
}
.fa-envelope-open-o:before {
  content: "\f2b7";
}
.fa-linode:before {
  content: "\f2b8";
}
.fa-address-book:before {
  content: "\f2b9";
}
.fa-address-book-o:before {
  content: "\f2ba";
}
.fa-vcard:before,
.fa-address-card:before {
  content: "\f2bb";
}
.fa-vcard-o:before,
.fa-address-card-o:before {
  content: "\f2bc";
}
.fa-user-circle:before {
  content: "\f2bd";
}
.fa-user-circle-o:before {
  content: "\f2be";
}
.fa-user-o:before {
  content: "\f2c0";
}
.fa-id-badge:before {
  content: "\f2c1";
}
.fa-drivers-license:before,
.fa-id-card:before {
  content: "\f2c2";
}
.fa-drivers-license-o:before,
.fa-id-card-o:before {
  content: "\f2c3";
}
.fa-quora:before {
  content: "\f2c4";
}
.fa-free-code-camp:before {
  content: "\f2c5";
}
.fa-telegram:before {
  content: "\f2c6";
}
.fa-thermometer-4:before,
.fa-thermometer:before,
.fa-thermometer-full:before {
  content: "\f2c7";
}
.fa-thermometer-3:before,
.fa-thermometer-three-quarters:before {
  content: "\f2c8";
}
.fa-thermometer-2:before,
.fa-thermometer-half:before {
  content: "\f2c9";
}
.fa-thermometer-1:before,
.fa-thermometer-quarter:before {
  content: "\f2ca";
}
.fa-thermometer-0:before,
.fa-thermometer-empty:before {
  content: "\f2cb";
}
.fa-shower:before {
  content: "\f2cc";
}
.fa-bathtub:before,
.fa-s15:before,
.fa-bath:before {
  content: "\f2cd";
}
.fa-podcast:before {
  content: "\f2ce";
}
.fa-window-maximize:before {
  content: "\f2d0";
}
.fa-window-minimize:before {
  content: "\f2d1";
}
.fa-window-restore:before {
  content: "\f2d2";
}
.fa-times-rectangle:before,
.fa-window-close:before {
  content: "\f2d3";
}
.fa-times-rectangle-o:before,
.fa-window-close-o:before {
  content: "\f2d4";
}
.fa-bandcamp:before {
  content: "\f2d5";
}
.fa-grav:before {
  content: "\f2d6";
}
.fa-etsy:before {
  content: "\f2d7";
}
.fa-imdb:before {
  content: "\f2d8";
}
.fa-ravelry:before {
  content: "\f2d9";
}
.fa-eercast:before {
  content: "\f2da";
}
.fa-microchip:before {
  content: "\f2db";
}
.fa-snowflake-o:before {
  content: "\f2dc";
}
.fa-superpowers:before {
  content: "\f2dd";
}
.fa-wpexplorer:before {
  content: "\f2de";
}
.fa-meetup:before {
  content: "\f2e0";
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  padding: 0;
  margin: -1px;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
/*!
*
* IPython base
*
*/
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
code {
  color: #000;
}
pre {
  font-size: inherit;
  line-height: inherit;
}
label {
  font-weight: normal;
}
/* Make the page background atleast 100% the height of the view port */
/* Make the page itself atleast 70% the height of the view port */
.border-box-sizing {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.corner-all {
  border-radius: 2px;
}
.no-padding {
  padding: 0px;
}
/* Flexible box model classes */
/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
/* This file is a compatability layer.  It allows the usage of flexible box 
model layouts accross multiple browsers, including older browsers.  The newest,
universal implementation of the flexible box model is used when available (see
`Modern browsers` comments below).  Browsers that are known to implement this 
new spec completely include:

    Firefox 28.0+
    Chrome 29.0+
    Internet Explorer 11+ 
    Opera 17.0+

Browsers not listed, including Safari, are supported via the styling under the
`Old browsers` comments below.
*/
.hbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
.hbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.vbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
.vbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.hbox.reverse,
.vbox.reverse,
.reverse {
  /* Old browsers */
  -webkit-box-direction: reverse;
  -moz-box-direction: reverse;
  box-direction: reverse;
  /* Modern browsers */
  flex-direction: row-reverse;
}
.hbox.box-flex0,
.vbox.box-flex0,
.box-flex0 {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
  width: auto;
}
.hbox.box-flex1,
.vbox.box-flex1,
.box-flex1 {
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex,
.vbox.box-flex,
.box-flex {
  /* Old browsers */
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex2,
.vbox.box-flex2,
.box-flex2 {
  /* Old browsers */
  -webkit-box-flex: 2;
  -moz-box-flex: 2;
  box-flex: 2;
  /* Modern browsers */
  flex: 2;
}
.box-group1 {
  /*  Deprecated */
  -webkit-box-flex-group: 1;
  -moz-box-flex-group: 1;
  box-flex-group: 1;
}
.box-group2 {
  /* Deprecated */
  -webkit-box-flex-group: 2;
  -moz-box-flex-group: 2;
  box-flex-group: 2;
}
.hbox.start,
.vbox.start,
.start {
  /* Old browsers */
  -webkit-box-pack: start;
  -moz-box-pack: start;
  box-pack: start;
  /* Modern browsers */
  justify-content: flex-start;
}
.hbox.end,
.vbox.end,
.end {
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
}
.hbox.center,
.vbox.center,
.center {
  /* Old browsers */
  -webkit-box-pack: center;
  -moz-box-pack: center;
  box-pack: center;
  /* Modern browsers */
  justify-content: center;
}
.hbox.baseline,
.vbox.baseline,
.baseline {
  /* Old browsers */
  -webkit-box-pack: baseline;
  -moz-box-pack: baseline;
  box-pack: baseline;
  /* Modern browsers */
  justify-content: baseline;
}
.hbox.stretch,
.vbox.stretch,
.stretch {
  /* Old browsers */
  -webkit-box-pack: stretch;
  -moz-box-pack: stretch;
  box-pack: stretch;
  /* Modern browsers */
  justify-content: stretch;
}
.hbox.align-start,
.vbox.align-start,
.align-start {
  /* Old browsers */
  -webkit-box-align: start;
  -moz-box-align: start;
  box-align: start;
  /* Modern browsers */
  align-items: flex-start;
}
.hbox.align-end,
.vbox.align-end,
.align-end {
  /* Old browsers */
  -webkit-box-align: end;
  -moz-box-align: end;
  box-align: end;
  /* Modern browsers */
  align-items: flex-end;
}
.hbox.align-center,
.vbox.align-center,
.align-center {
  /* Old browsers */
  -webkit-box-align: center;
  -moz-box-align: center;
  box-align: center;
  /* Modern browsers */
  align-items: center;
}
.hbox.align-baseline,
.vbox.align-baseline,
.align-baseline {
  /* Old browsers */
  -webkit-box-align: baseline;
  -moz-box-align: baseline;
  box-align: baseline;
  /* Modern browsers */
  align-items: baseline;
}
.hbox.align-stretch,
.vbox.align-stretch,
.align-stretch {
  /* Old browsers */
  -webkit-box-align: stretch;
  -moz-box-align: stretch;
  box-align: stretch;
  /* Modern browsers */
  align-items: stretch;
}
div.error {
  margin: 2em;
  text-align: center;
}
div.error > h1 {
  font-size: 500%;
  line-height: normal;
}
div.error > p {
  font-size: 200%;
  line-height: normal;
}
div.traceback-wrapper {
  text-align: left;
  max-width: 800px;
  margin: auto;
}
div.traceback-wrapper pre.traceback {
  max-height: 600px;
  overflow: auto;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
body {
  background-color: #fff;
  /* This makes sure that the body covers the entire window and needs to
       be in a different element than the display: box in wrapper below */
  position: absolute;
  left: 0px;
  right: 0px;
  top: 0px;
  bottom: 0px;
  overflow: visible;
}
body > #header {
  /* Initially hidden to prevent FLOUC */
  display: none;
  background-color: #fff;
  /* Display over codemirror */
  position: relative;
  z-index: 100;
}
body > #header #header-container {
  display: flex;
  flex-direction: row;
  justify-content: space-between;
  padding: 5px;
  padding-bottom: 5px;
  padding-top: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
body > #header .header-bar {
  width: 100%;
  height: 1px;
  background: #e7e7e7;
  margin-bottom: -1px;
}
@media print {
  body > #header {
    display: none !important;
  }
}
#header-spacer {
  width: 100%;
  visibility: hidden;
}
@media print {
  #header-spacer {
    display: none;
  }
}
#ipython_notebook {
  padding-left: 0px;
  padding-top: 1px;
  padding-bottom: 1px;
}
[dir="rtl"] #ipython_notebook {
  margin-right: 10px;
  margin-left: 0;
}
[dir="rtl"] #ipython_notebook.pull-left {
  float: right !important;
  float: right;
}
.flex-spacer {
  flex: 1;
}
#noscript {
  width: auto;
  padding-top: 16px;
  padding-bottom: 16px;
  text-align: center;
  font-size: 22px;
  color: red;
  font-weight: bold;
}
#ipython_notebook img {
  height: 28px;
}
#site {
  width: 100%;
  display: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  overflow: auto;
}
@media print {
  #site {
    height: auto !important;
  }
}
/* Smaller buttons */
.ui-button .ui-button-text {
  padding: 0.2em 0.8em;
  font-size: 77%;
}
input.ui-button {
  padding: 0.3em 0.9em;
}
span#kernel_logo_widget {
  margin: 0 10px;
}
span#login_widget {
  float: right;
}
[dir="rtl"] span#login_widget {
  float: left;
}
span#login_widget > .button,
#logout {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button:focus,
#logout:focus,
span#login_widget > .button.focus,
#logout.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
span#login_widget > .button:hover,
#logout:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active:hover,
#logout:active:hover,
span#login_widget > .button.active:hover,
#logout.active:hover,
.open > .dropdown-togglespan#login_widget > .button:hover,
.open > .dropdown-toggle#logout:hover,
span#login_widget > .button:active:focus,
#logout:active:focus,
span#login_widget > .button.active:focus,
#logout.active:focus,
.open > .dropdown-togglespan#login_widget > .button:focus,
.open > .dropdown-toggle#logout:focus,
span#login_widget > .button:active.focus,
#logout:active.focus,
span#login_widget > .button.active.focus,
#logout.active.focus,
.open > .dropdown-togglespan#login_widget > .button.focus,
.open > .dropdown-toggle#logout.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  background-image: none;
}
span#login_widget > .button.disabled:hover,
#logout.disabled:hover,
span#login_widget > .button[disabled]:hover,
#logout[disabled]:hover,
fieldset[disabled] span#login_widget > .button:hover,
fieldset[disabled] #logout:hover,
span#login_widget > .button.disabled:focus,
#logout.disabled:focus,
span#login_widget > .button[disabled]:focus,
#logout[disabled]:focus,
fieldset[disabled] span#login_widget > .button:focus,
fieldset[disabled] #logout:focus,
span#login_widget > .button.disabled.focus,
#logout.disabled.focus,
span#login_widget > .button[disabled].focus,
#logout[disabled].focus,
fieldset[disabled] span#login_widget > .button.focus,
fieldset[disabled] #logout.focus {
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button .badge,
#logout .badge {
  color: #fff;
  background-color: #333;
}
.nav-header {
  text-transform: none;
}
#header > span {
  margin-top: 10px;
}
.modal_stretch .modal-dialog {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  min-height: 80vh;
}
.modal_stretch .modal-dialog .modal-body {
  max-height: calc(100vh - 200px);
  overflow: auto;
  flex: 1;
}
.modal-header {
  cursor: move;
}
@media (min-width: 768px) {
  .modal .modal-dialog {
    width: 700px;
  }
}
@media (min-width: 768px) {
  select.form-control {
    margin-left: 12px;
    margin-right: 12px;
  }
}
/*!
*
* IPython auth
*
*/
.center-nav {
  display: inline-block;
  margin-bottom: -4px;
}
[dir="rtl"] .center-nav form.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] .center-nav .navbar-text {
  float: right;
}
[dir="rtl"] .navbar-inner {
  text-align: right;
}
[dir="rtl"] div.text-left {
  text-align: right;
}
/*!
*
* IPython tree view
*
*/
/* We need an invisible input field on top of the sentense*/
/* "Drag file onto the list ..." */
.alternate_upload {
  background-color: none;
  display: inline;
}
.alternate_upload.form {
  padding: 0;
  margin: 0;
}
.alternate_upload input.fileinput {
  position: absolute;
  display: block;
  width: 100%;
  height: 100%;
  overflow: hidden;
  cursor: pointer;
  opacity: 0;
  z-index: 2;
}
.alternate_upload .btn-xs > input.fileinput {
  margin: -1px -5px;
}
.alternate_upload .btn-upload {
  position: relative;
  height: 22px;
}
::-webkit-file-upload-button {
  cursor: pointer;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
ul#tabs {
  margin-bottom: 4px;
}
ul#tabs a {
  padding-top: 6px;
  padding-bottom: 4px;
}
[dir="rtl"] ul#tabs.nav-tabs > li {
  float: right;
}
[dir="rtl"] ul#tabs.nav.nav-tabs {
  padding-right: 0;
}
ul.breadcrumb a:focus,
ul.breadcrumb a:hover {
  text-decoration: none;
}
ul.breadcrumb i.icon-home {
  font-size: 16px;
  margin-right: 4px;
}
ul.breadcrumb span {
  color: #5e5e5e;
}
.list_toolbar {
  padding: 4px 0 4px 0;
  vertical-align: middle;
}
.list_toolbar .tree-buttons {
  padding-top: 1px;
}
[dir="rtl"] .list_toolbar .tree-buttons .pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .list_toolbar .col-sm-4,
[dir="rtl"] .list_toolbar .col-sm-8 {
  float: right;
}
.dynamic-buttons {
  padding-top: 3px;
  display: inline-block;
}
.list_toolbar [class*="span"] {
  min-height: 24px;
}
.list_header {
  font-weight: bold;
  background-color: #EEE;
}
.list_placeholder {
  font-weight: bold;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
}
.list_container {
  margin-top: 4px;
  margin-bottom: 20px;
  border: 1px solid #ddd;
  border-radius: 2px;
}
.list_container > div {
  border-bottom: 1px solid #ddd;
}
.list_container > div:hover .list-item {
  background-color: red;
}
.list_container > div:last-child {
  border: none;
}
.list_item:hover .list_item {
  background-color: #ddd;
}
.list_item a {
  text-decoration: none;
}
.list_item:hover {
  background-color: #fafafa;
}
.list_header > div,
.list_item > div {
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
.list_header > div input,
.list_item > div input {
  margin-right: 7px;
  margin-left: 14px;
  vertical-align: text-bottom;
  line-height: 22px;
  position: relative;
  top: -1px;
}
.list_header > div .item_link,
.list_item > div .item_link {
  margin-left: -1px;
  vertical-align: baseline;
  line-height: 22px;
}
[dir="rtl"] .list_item > div input {
  margin-right: 0;
}
.new-file input[type=checkbox] {
  visibility: hidden;
}
.item_name {
  line-height: 22px;
  height: 24px;
}
.item_icon {
  font-size: 14px;
  color: #5e5e5e;
  margin-right: 7px;
  margin-left: 7px;
  line-height: 22px;
  vertical-align: baseline;
}
.item_modified {
  margin-right: 7px;
  margin-left: 7px;
}
[dir="rtl"] .item_modified.pull-right {
  float: left !important;
  float: left;
}
.item_buttons {
  line-height: 1em;
  margin-left: -5px;
}
.item_buttons .btn,
.item_buttons .btn-group,
.item_buttons .input-group {
  float: left;
}
.item_buttons > .btn,
.item_buttons > .btn-group,
.item_buttons > .input-group {
  margin-left: 5px;
}
.item_buttons .btn {
  min-width: 13ex;
}
.item_buttons .running-indicator {
  padding-top: 4px;
  color: #5cb85c;
}
.item_buttons .kernel-name {
  padding-top: 4px;
  color: #5bc0de;
  margin-right: 7px;
  float: left;
}
[dir="rtl"] .item_buttons.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .item_buttons .kernel-name {
  margin-left: 7px;
  float: right;
}
.toolbar_info {
  height: 24px;
  line-height: 24px;
}
.list_item input:not([type=checkbox]) {
  padding-top: 3px;
  padding-bottom: 3px;
  height: 22px;
  line-height: 14px;
  margin: 0px;
}
.highlight_text {
  color: blue;
}
#project_name {
  display: inline-block;
  padding-left: 7px;
  margin-left: -2px;
}
#project_name > .breadcrumb {
  padding: 0px;
  margin-bottom: 0px;
  background-color: transparent;
  font-weight: bold;
}
.sort_button {
  display: inline-block;
  padding-left: 7px;
}
[dir="rtl"] .sort_button.pull-right {
  float: left !important;
  float: left;
}
#tree-selector {
  padding-right: 0px;
}
#button-select-all {
  min-width: 50px;
}
[dir="rtl"] #button-select-all.btn {
  float: right ;
}
#select-all {
  margin-left: 7px;
  margin-right: 2px;
  margin-top: 2px;
  height: 16px;
}
[dir="rtl"] #select-all.pull-left {
  float: right !important;
  float: right;
}
.menu_icon {
  margin-right: 2px;
}
.tab-content .row {
  margin-left: 0px;
  margin-right: 0px;
}
.folder_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f114";
}
.folder_icon:before.fa-pull-left {
  margin-right: .3em;
}
.folder_icon:before.fa-pull-right {
  margin-left: .3em;
}
.folder_icon:before.pull-left {
  margin-right: .3em;
}
.folder_icon:before.pull-right {
  margin-left: .3em;
}
.notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
}
.notebook_icon:before.fa-pull-left {
  margin-right: .3em;
}
.notebook_icon:before.fa-pull-right {
  margin-left: .3em;
}
.notebook_icon:before.pull-left {
  margin-right: .3em;
}
.notebook_icon:before.pull-right {
  margin-left: .3em;
}
.running_notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
  color: #5cb85c;
}
.running_notebook_icon:before.fa-pull-left {
  margin-right: .3em;
}
.running_notebook_icon:before.fa-pull-right {
  margin-left: .3em;
}
.running_notebook_icon:before.pull-left {
  margin-right: .3em;
}
.running_notebook_icon:before.pull-right {
  margin-left: .3em;
}
.file_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f016";
  position: relative;
  top: -2px;
}
.file_icon:before.fa-pull-left {
  margin-right: .3em;
}
.file_icon:before.fa-pull-right {
  margin-left: .3em;
}
.file_icon:before.pull-left {
  margin-right: .3em;
}
.file_icon:before.pull-right {
  margin-left: .3em;
}
#notebook_toolbar .pull-right {
  padding-top: 0px;
  margin-right: -1px;
}
ul#new-menu {
  left: auto;
  right: 0;
}
#new-menu .dropdown-header {
  font-size: 10px;
  border-bottom: 1px solid #e5e5e5;
  padding: 0 0 3px;
  margin: -3px 20px 0;
}
.kernel-menu-icon {
  padding-right: 12px;
  width: 24px;
  content: "\f096";
}
.kernel-menu-icon:before {
  content: "\f096";
}
.kernel-menu-icon-current:before {
  content: "\f00c";
}
#tab_content {
  padding-top: 20px;
}
#running .panel-group .panel {
  margin-top: 3px;
  margin-bottom: 1em;
}
#running .panel-group .panel .panel-heading {
  background-color: #EEE;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
#running .panel-group .panel .panel-heading a:focus,
#running .panel-group .panel .panel-heading a:hover {
  text-decoration: none;
}
#running .panel-group .panel .panel-body {
  padding: 0px;
}
#running .panel-group .panel .panel-body .list_container {
  margin-top: 0px;
  margin-bottom: 0px;
  border: 0px;
  border-radius: 0px;
}
#running .panel-group .panel .panel-body .list_container .list_item {
  border-bottom: 1px solid #ddd;
}
#running .panel-group .panel .panel-body .list_container .list_item:last-child {
  border-bottom: 0px;
}
.delete-button {
  display: none;
}
.duplicate-button {
  display: none;
}
.rename-button {
  display: none;
}
.move-button {
  display: none;
}
.download-button {
  display: none;
}
.shutdown-button {
  display: none;
}
.dynamic-instructions {
  display: inline-block;
  padding-top: 4px;
}
/*!
*
* IPython text editor webapp
*
*/
.selected-keymap i.fa {
  padding: 0px 5px;
}
.selected-keymap i.fa:before {
  content: "\f00c";
}
#mode-menu {
  overflow: auto;
  max-height: 20em;
}
.edit_app #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.edit_app #menubar .navbar {
  /* Use a negative 1 bottom margin, so the border overlaps the border of the
    header */
  margin-bottom: -1px;
}
.dirty-indicator {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator.pull-left {
  margin-right: .3em;
}
.dirty-indicator.pull-right {
  margin-left: .3em;
}
.dirty-indicator-dirty {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-dirty.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-dirty.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator-dirty.pull-left {
  margin-right: .3em;
}
.dirty-indicator-dirty.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-clean.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f00c";
}
.dirty-indicator-clean:before.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean:before.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean:before.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean:before.pull-right {
  margin-left: .3em;
}
#filename {
  font-size: 16pt;
  display: table;
  padding: 0px 5px;
}
#current-mode {
  padding-left: 5px;
  padding-right: 5px;
}
#texteditor-backdrop {
  padding-top: 20px;
  padding-bottom: 20px;
}
@media not print {
  #texteditor-backdrop {
    background-color: #EEE;
  }
}
@media print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container {
    padding: 0px;
    background-color: #fff;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
.CodeMirror-dialog {
  background-color: #fff;
}
/*!
*
* IPython notebook
*
*/
/* CSS font colors for translated ANSI escape sequences */
/* The color values are a mix of
   http://www.xcolors.net/dl/baskerville-ivorylight and
   http://www.xcolors.net/dl/euphrasia */
.ansi-black-fg {
  color: #3E424D;
}
.ansi-black-bg {
  background-color: #3E424D;
}
.ansi-black-intense-fg {
  color: #282C36;
}
.ansi-black-intense-bg {
  background-color: #282C36;
}
.ansi-red-fg {
  color: #E75C58;
}
.ansi-red-bg {
  background-color: #E75C58;
}
.ansi-red-intense-fg {
  color: #B22B31;
}
.ansi-red-intense-bg {
  background-color: #B22B31;
}
.ansi-green-fg {
  color: #00A250;
}
.ansi-green-bg {
  background-color: #00A250;
}
.ansi-green-intense-fg {
  color: #007427;
}
.ansi-green-intense-bg {
  background-color: #007427;
}
.ansi-yellow-fg {
  color: #DDB62B;
}
.ansi-yellow-bg {
  background-color: #DDB62B;
}
.ansi-yellow-intense-fg {
  color: #B27D12;
}
.ansi-yellow-intense-bg {
  background-color: #B27D12;
}
.ansi-blue-fg {
  color: #208FFB;
}
.ansi-blue-bg {
  background-color: #208FFB;
}
.ansi-blue-intense-fg {
  color: #0065CA;
}
.ansi-blue-intense-bg {
  background-color: #0065CA;
}
.ansi-magenta-fg {
  color: #D160C4;
}
.ansi-magenta-bg {
  background-color: #D160C4;
}
.ansi-magenta-intense-fg {
  color: #A03196;
}
.ansi-magenta-intense-bg {
  background-color: #A03196;
}
.ansi-cyan-fg {
  color: #60C6C8;
}
.ansi-cyan-bg {
  background-color: #60C6C8;
}
.ansi-cyan-intense-fg {
  color: #258F8F;
}
.ansi-cyan-intense-bg {
  background-color: #258F8F;
}
.ansi-white-fg {
  color: #C5C1B4;
}
.ansi-white-bg {
  background-color: #C5C1B4;
}
.ansi-white-intense-fg {
  color: #A1A6B2;
}
.ansi-white-intense-bg {
  background-color: #A1A6B2;
}
.ansi-default-inverse-fg {
  color: #FFFFFF;
}
.ansi-default-inverse-bg {
  background-color: #000000;
}
.ansi-bold {
  font-weight: bold;
}
.ansi-underline {
  text-decoration: underline;
}
/* The following styles are deprecated an will be removed in a future version */
.ansibold {
  font-weight: bold;
}
.ansi-inverse {
  outline: 0.5px dotted;
}
/* use dark versions for foreground, to improve visibility */
.ansiblack {
  color: black;
}
.ansired {
  color: darkred;
}
.ansigreen {
  color: darkgreen;
}
.ansiyellow {
  color: #c4a000;
}
.ansiblue {
  color: darkblue;
}
.ansipurple {
  color: darkviolet;
}
.ansicyan {
  color: steelblue;
}
.ansigray {
  color: gray;
}
/* and light for background, for the same reason */
.ansibgblack {
  background-color: black;
}
.ansibgred {
  background-color: red;
}
.ansibggreen {
  background-color: green;
}
.ansibgyellow {
  background-color: yellow;
}
.ansibgblue {
  background-color: blue;
}
.ansibgpurple {
  background-color: magenta;
}
.ansibgcyan {
  background-color: cyan;
}
.ansibggray {
  background-color: gray;
}
div.cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  border-radius: 2px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  border-width: 1px;
  border-style: solid;
  border-color: transparent;
  width: 100%;
  padding: 5px;
  /* This acts as a spacer between cells, that is outside the border */
  margin: 0px;
  outline: none;
  position: relative;
  overflow: visible;
}
div.cell:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: transparent;
}
div.cell.jupyter-soft-selected {
  border-left-color: #E3F2FD;
  border-left-width: 1px;
  padding-left: 5px;
  border-right-color: #E3F2FD;
  border-right-width: 1px;
  background: #E3F2FD;
}
@media print {
  div.cell.jupyter-soft-selected {
    border-color: transparent;
  }
}
div.cell.selected,
div.cell.selected.jupyter-soft-selected {
  border-color: #ababab;
}
div.cell.selected:before,
div.cell.selected.jupyter-soft-selected:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: #42A5F5;
}
@media print {
  div.cell.selected,
  div.cell.selected.jupyter-soft-selected {
    border-color: transparent;
  }
}
.edit_mode div.cell.selected {
  border-color: #66BB6A;
}
.edit_mode div.cell.selected:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: #66BB6A;
}
@media print {
  .edit_mode div.cell.selected {
    border-color: transparent;
  }
}
.prompt {
  /* This needs to be wide enough for 3 digit prompt numbers: In[100]: */
  min-width: 14ex;
  /* This padding is tuned to match the padding on the CodeMirror editor. */
  padding: 0.4em;
  margin: 0px;
  font-family: monospace;
  text-align: right;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
  /* Don't highlight prompt number selection */
  -webkit-touch-callout: none;
  -webkit-user-select: none;
  -khtml-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
  /* Use default cursor */
  cursor: default;
}
@media (max-width: 540px) {
  .prompt {
    text-align: left;
  }
}
div.inner_cell {
  min-width: 0;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_area {
  border: 1px solid #cfcfcf;
  border-radius: 2px;
  background: #f7f7f7;
  line-height: 1.21429em;
}
/* This is needed so that empty prompt areas can collapse to zero height when there
   is no content in the output_subarea and the prompt. The main purpose of this is
   to make sure that empty JavaScript output_subareas have no height. */
div.prompt:empty {
  padding-top: 0;
  padding-bottom: 0;
}
div.unrecognized_cell {
  padding: 5px 5px 5px 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.unrecognized_cell .inner_cell {
  border-radius: 2px;
  padding: 5px;
  font-weight: bold;
  color: red;
  border: 1px solid #cfcfcf;
  background: #eaeaea;
}
div.unrecognized_cell .inner_cell a {
  color: inherit;
  text-decoration: none;
}
div.unrecognized_cell .inner_cell a:hover {
  color: inherit;
  text-decoration: none;
}
@media (max-width: 540px) {
  div.unrecognized_cell > div.prompt {
    display: none;
  }
}
div.code_cell {
  /* avoid page breaking on code cells when printing */
}
@media print {
  div.code_cell {
    page-break-inside: avoid;
  }
}
/* any special styling for code cells that are currently running goes here */
div.input {
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.input {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_prompt {
  color: #303F9F;
  border-top: 1px solid transparent;
}
div.input_area > div.highlight {
  margin: 0.4em;
  border: none;
  padding: 0px;
  background-color: transparent;
}
div.input_area > div.highlight > pre {
  margin: 0px;
  border: none;
  padding: 0px;
  background-color: transparent;
}
/* The following gets added to the <head> if it is detected that the user has a
 * monospace font with inconsistent normal/bold/italic height.  See
 * notebookmain.js.  Such fonts will have keywords vertically offset with
 * respect to the rest of the text.  The user should select a better font.
 * See: https://github.com/ipython/ipython/issues/1503
 *
 * .CodeMirror span {
 *      vertical-align: bottom;
 * }
 */
.CodeMirror {
  line-height: 1.21429em;
  /* Changed from 1em to our global default */
  font-size: 14px;
  height: auto;
  /* Changed to auto to autogrow */
  background: none;
  /* Changed from white to allow our bg to show through */
}
.CodeMirror-scroll {
  /*  The CodeMirror docs are a bit fuzzy on if overflow-y should be hidden or visible.*/
  /*  We have found that if it is visible, vertical scrollbars appear with font size changes.*/
  overflow-y: hidden;
  overflow-x: auto;
}
.CodeMirror-lines {
  /* In CM2, this used to be 0.4em, but in CM3 it went to 4px. We need the em value because */
  /* we have set a different line-height and want this to scale with that. */
  /* Note that this should set vertical padding only, since CodeMirror assumes
       that horizontal padding will be set on CodeMirror pre */
  padding: 0.4em 0;
}
.CodeMirror-linenumber {
  padding: 0 8px 0 4px;
}
.CodeMirror-gutters {
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.CodeMirror pre {
  /* In CM3 this went to 4px from 0 in CM2. This sets horizontal padding only,
    use .CodeMirror-lines for vertical */
  padding: 0 0.4em;
  border: 0;
  border-radius: 0;
}
.CodeMirror-cursor {
  border-left: 1.4px solid black;
}
@media screen and (min-width: 2138px) and (max-width: 4319px) {
  .CodeMirror-cursor {
    border-left: 2px solid black;
  }
}
@media screen and (min-width: 4320px) {
  .CodeMirror-cursor {
    border-left: 4px solid black;
  }
}
/*

Original style from softwaremaniacs.org (c) Ivan Sagalaev <Maniac@SoftwareManiacs.Org>
Adapted from GitHub theme

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
div.output_area .mglyph > img {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 1px 0 1px 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul:not(.list-inline),
.rendered_html ol:not(.list-inline) {
  padding-left: 2em;
}
.rendered_html ul {
  list-style: disc;
}
.rendered_html ul ul {
  list-style: square;
  margin-top: 0;
}
.rendered_html ul ul ul {
  list-style: circle;
}
.rendered_html ol {
  list-style: decimal;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin-top: 0;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
  padding: 0px;
  background-color: #fff;
}
.rendered_html code {
  background-color: #eff0f1;
}
.rendered_html p code {
  padding: 1px 5px;
}
.rendered_html pre code {
  background-color: #fff;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  color: #000;
  font-size: 100%;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: none;
  border-collapse: collapse;
  border-spacing: 0;
  color: black;
  font-size: 12px;
  table-layout: fixed;
}
.rendered_html thead {
  border-bottom: 1px solid black;
  vertical-align: bottom;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  text-align: right;
  vertical-align: middle;
  padding: 0.5em 0.5em;
  line-height: normal;
  white-space: normal;
  max-width: none;
  border: none;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html tbody tr:nth-child(odd) {
  background: #f5f5f5;
}
.rendered_html tbody tr:hover {
  background: rgba(66, 165, 245, 0.2);
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
.rendered_html .alert {
  margin-bottom: initial;
}
.rendered_html * + .alert {
  margin-top: 1em;
}
[dir="rtl"] .rendered_html p {
  text-align: right;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.rendered .rendered_html tr,
.text_cell.rendered .rendered_html th,
.text_cell.rendered .rendered_html td {
  max-width: none;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.text_cell .dropzone .input_area {
  border: 2px dashed #bababa;
  margin: -1px;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
.jupyter-keybindings {
  padding: 1px;
  line-height: 24px;
  border-bottom: 1px solid gray;
}
.jupyter-keybindings input {
  margin: 0;
  padding: 0;
  border: none;
}
.jupyter-keybindings i {
  padding: 6px;
}
.well code {
  background-color: #ffffff;
  border-color: #ababab;
  border-width: 1px;
  border-style: solid;
  padding: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.tags_button_container {
  width: 100%;
  display: flex;
}
.tag-container {
  display: flex;
  flex-direction: row;
  flex-grow: 1;
  overflow: hidden;
  position: relative;
}
.tag-container > * {
  margin: 0 4px;
}
.remove-tag-btn {
  margin-left: 4px;
}
.tags-input {
  display: flex;
}
.cell-tag:last-child:after {
  content: "";
  position: absolute;
  right: 0;
  width: 40px;
  height: 100%;
  /* Fade to background color of cell toolbar */
  background: linear-gradient(to right, rgba(0, 0, 0, 0), #EEE);
}
.tags-input > * {
  margin-left: 4px;
}
.cell-tag,
.tags-input input,
.tags-input button {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  box-shadow: none;
  width: inherit;
  font-size: inherit;
  height: 22px;
  line-height: 22px;
  padding: 0px 4px;
  display: inline-block;
}
.cell-tag:focus,
.tags-input input:focus,
.tags-input button:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.cell-tag::-moz-placeholder,
.tags-input input::-moz-placeholder,
.tags-input button::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.cell-tag:-ms-input-placeholder,
.tags-input input:-ms-input-placeholder,
.tags-input button:-ms-input-placeholder {
  color: #999;
}
.cell-tag::-webkit-input-placeholder,
.tags-input input::-webkit-input-placeholder,
.tags-input button::-webkit-input-placeholder {
  color: #999;
}
.cell-tag::-ms-expand,
.tags-input input::-ms-expand,
.tags-input button::-ms-expand {
  border: 0;
  background-color: transparent;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
.cell-tag[readonly],
.tags-input input[readonly],
.tags-input button[readonly],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  background-color: #eeeeee;
  opacity: 1;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  cursor: not-allowed;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button {
  height: auto;
}
select.cell-tag,
select.tags-input input,
select.tags-input button {
  height: 30px;
  line-height: 30px;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button,
select[multiple].cell-tag,
select[multiple].tags-input input,
select[multiple].tags-input button {
  height: auto;
}
.cell-tag,
.tags-input button {
  padding: 0px 4px;
}
.cell-tag {
  background-color: #fff;
  white-space: nowrap;
}
.tags-input input[type=text]:focus {
  outline: none;
  box-shadow: none;
  border-color: #ccc;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
[dir="rtl"] #kernel_logo_widget {
  float: left !important;
  float: left;
}
.modal .modal-body .move-path {
  display: flex;
  flex-direction: row;
  justify-content: space;
  align-items: center;
}
.modal .modal-body .move-path .server-root {
  padding-right: 20px;
}
.modal .modal-body .move-path .path-input {
  flex: 1;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
[dir="rtl"] #menubar .navbar-toggle {
  float: right;
}
[dir="rtl"] #menubar .navbar-collapse {
  clear: right;
}
[dir="rtl"] #menubar .navbar-nav {
  float: right;
}
[dir="rtl"] #menubar .nav {
  padding-right: 0px;
}
[dir="rtl"] #menubar .navbar-nav > li {
  float: right;
}
[dir="rtl"] #menubar .navbar-right {
  float: left !important;
}
[dir="rtl"] ul.dropdown-menu {
  text-align: right;
  left: auto;
}
[dir="rtl"] ul#new-menu.dropdown-menu {
  right: auto;
  left: 0;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
[dir="rtl"] i.menu-icon.pull-right {
  float: left !important;
  float: left;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
[dir="rtl"] ul#help_menu li a {
  padding-left: 2.2em;
}
[dir="rtl"] ul#help_menu li a i {
  margin-right: 0;
  margin-left: -1.2em;
}
[dir="rtl"] ul#help_menu li a i.pull-right {
  float: left !important;
  float: left;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
[dir="rtl"] .dropdown-submenu > .dropdown-menu {
  right: 100%;
  margin-right: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.fa-pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.fa-pull-right {
  margin-left: .3em;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
[dir="rtl"] .dropdown-submenu > a:after {
  float: left;
  content: "\f0d9";
  margin-right: 0;
  margin-left: -10px;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
[dir="rtl"] #notification_area {
  float: left !important;
  float: left;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] .indicator_area {
  float: left !important;
  float: left;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
[dir="rtl"] #kernel_indicator {
  float: left !important;
  float: left;
  border-left: 0;
  border-right: 1px solid;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] #modal_indicator {
  float: left !important;
  float: left;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  height: 30px;
  margin-top: 4px;
  display: flex;
  justify-content: flex-start;
  align-items: baseline;
  width: 50%;
  flex: 1;
}
span.save_widget span.filename {
  height: 100%;
  line-height: 1em;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  text-overflow: ellipsis;
  overflow: hidden;
  white-space: nowrap;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
[dir="rtl"] span.save_widget.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] span.save_widget span.filename {
  margin-left: 0;
  margin-right: 16px;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
  white-space: nowrap;
  padding: 0 5px;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
    padding: 0 0 0 5px;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
.toolbar-btn-label {
  margin-left: 6px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
  padding-top: 11px;
  padding-bottom: 3px;
}
#maintoolbar .navbar-text {
  float: none;
  vertical-align: middle;
  text-align: right;
  margin-left: 5px;
  margin-right: 0px;
  margin-top: 0px;
}
.select-xs {
  height: 24px;
}
[dir="rtl"] .btn-group > .btn,
.btn-group-vertical > .btn {
  float: right;
}
.pulse,
.dropdown-menu > li > a.pulse,
li.pulse > a.dropdown-toggle,
li.pulse.open > a.dropdown-toggle {
  background-color: #F37626;
  color: white;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
 * of chance of beeing generated from the ../less/[samename].less file, you can
 * try to get back the less file by reverting somme commit in history
 **/
/*
 * We'll try to get something pretty, so we
 * have some strange css to have the scroll bar on
 * the left with fix button on the top right of the tooltip
 */
@-moz-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-webkit-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-moz-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
@-webkit-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
/*properties of tooltip after "expand"*/
.bigtooltip {
  overflow: auto;
  height: 200px;
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
}
/*properties of tooltip before "expand"*/
.smalltooltip {
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
  text-overflow: ellipsis;
  overflow: hidden;
  height: 80px;
}
.tooltipbuttons {
  position: absolute;
  padding-right: 15px;
  top: 0px;
  right: 0px;
}
.tooltiptext {
  /*avoid the button to overlap on some docstring*/
  padding-right: 30px;
}
.ipython_tooltip {
  max-width: 700px;
  /*fade-in animation when inserted*/
  -webkit-animation: fadeOut 400ms;
  -moz-animation: fadeOut 400ms;
  animation: fadeOut 400ms;
  -webkit-animation: fadeIn 400ms;
  -moz-animation: fadeIn 400ms;
  animation: fadeIn 400ms;
  vertical-align: middle;
  background-color: #f7f7f7;
  overflow: visible;
  border: #ababab 1px solid;
  outline: none;
  padding: 3px;
  margin: 0px;
  padding-left: 7px;
  font-family: monospace;
  min-height: 50px;
  -moz-box-shadow: 0px 6px 10px -1px #adadad;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  border-radius: 2px;
  position: absolute;
  z-index: 1000;
}
.ipython_tooltip a {
  float: right;
}
.ipython_tooltip .tooltiptext pre {
  border: 0;
  border-radius: 0;
  font-size: 100%;
  background-color: #f7f7f7;
}
.pretooltiparrow {
  left: 0px;
  margin: 0px;
  top: -16px;
  width: 40px;
  height: 16px;
  overflow: hidden;
  position: absolute;
}
.pretooltiparrow:before {
  background-color: #f7f7f7;
  border: 1px #ababab solid;
  z-index: 11;
  content: "";
  position: absolute;
  left: 15px;
  top: 10px;
  width: 25px;
  height: 25px;
  -webkit-transform: rotate(45deg);
  -moz-transform: rotate(45deg);
  -ms-transform: rotate(45deg);
  -o-transform: rotate(45deg);
}
ul.typeahead-list i {
  margin-left: -10px;
  width: 18px;
}
[dir="rtl"] ul.typeahead-list i {
  margin-left: 0;
  margin-right: -10px;
}
ul.typeahead-list {
  max-height: 80vh;
  overflow: auto;
}
ul.typeahead-list > li > a {
  /** Firefox bug **/
  /* see https://github.com/jupyter/notebook/issues/559 */
  white-space: normal;
}
ul.typeahead-list  > li > a.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .typeahead-list {
  text-align: right;
}
.cmd-palette .modal-body {
  padding: 7px;
}
.cmd-palette form {
  background: white;
}
.cmd-palette input {
  outline: none;
}
.no-shortcut {
  min-width: 20px;
  color: transparent;
}
[dir="rtl"] .no-shortcut.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .command-shortcut.pull-right {
  float: left !important;
  float: left;
}
.command-shortcut:before {
  content: "(command mode)";
  padding-right: 3px;
  color: #777777;
}
.edit-shortcut:before {
  content: "(edit)";
  padding-right: 3px;
  color: #777777;
}
[dir="rtl"] .edit-shortcut.pull-right {
  float: left !important;
  float: left;
}
#find-and-replace #replace-preview .match,
#find-and-replace #replace-preview .insert {
  background-color: #BBDEFB;
  border-color: #90CAF9;
  border-style: solid;
  border-width: 1px;
  border-radius: 0px;
}
[dir="ltr"] #find-and-replace .input-group-btn + .form-control {
  border-left: none;
}
[dir="rtl"] #find-and-replace .input-group-btn + .form-control {
  border-right: none;
}
#find-and-replace #replace-preview .replace .match {
  background-color: #FFCDD2;
  border-color: #EF9A9A;
  border-radius: 0px;
}
#find-and-replace #replace-preview .replace .insert {
  background-color: #C8E6C9;
  border-color: #A5D6A7;
  border-radius: 0px;
}
#find-and-replace #replace-preview {
  max-height: 60vh;
  overflow: auto;
}
#find-and-replace #replace-preview pre {
  padding: 5px 10px;
}
.terminal-app {
  background: #EEE;
}
.terminal-app #header {
  background: #fff;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.terminal-app .terminal {
  width: 100%;
  float: left;
  font-family: monospace;
  color: white;
  background: black;
  padding: 0.4em;
  border-radius: 2px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
}
.terminal-app .terminal,
.terminal-app .terminal dummy-screen {
  line-height: 1em;
  font-size: 14px;
}
.terminal-app .terminal .xterm-rows {
  padding: 10px;
}
.terminal-app .terminal-cursor {
  color: black;
  background: white;
}
.terminal-app #terminado-container {
  margin-top: 20px;
}
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<style type="text/css">
    .highlight .hll { background-color: #ffffcc }
.highlight  { background: #f8f8f8; }
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.highlight .o { color: #666666 } /* Operator */
.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
.highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */
.highlight .cs { color: #408080; font-style: italic } /* Comment.Special */
.highlight .gd { color: #A00000 } /* Generic.Deleted */
.highlight .ge { font-style: italic } /* Generic.Emph */
.highlight .gr { color: #FF0000 } /* Generic.Error */
.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
.highlight .gi { color: #00A000 } /* Generic.Inserted */
.highlight .go { color: #888888 } /* Generic.Output */
.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
.highlight .gs { font-weight: bold } /* Generic.Strong */
.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
.highlight .gt { color: #0044DD } /* Generic.Traceback */
.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
.highlight .kp { color: #008000 } /* Keyword.Pseudo */
.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
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.highlight .m { color: #666666 } /* Literal.Number */
.highlight .s { color: #BA2121 } /* Literal.String */
.highlight .na { color: #7D9029 } /* Name.Attribute */
.highlight .nb { color: #008000 } /* Name.Builtin */
.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
.highlight .no { color: #880000 } /* Name.Constant */
.highlight .nd { color: #AA22FF } /* Name.Decorator */
.highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */
.highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */
.highlight .nf { color: #0000FF } /* Name.Function */
.highlight .nl { color: #A0A000 } /* Name.Label */
.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
.highlight .nv { color: #19177C } /* Name.Variable */
.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
.highlight .w { color: #bbbbbb } /* Text.Whitespace */
.highlight .mb { color: #666666 } /* Literal.Number.Bin */
.highlight .mf { color: #666666 } /* Literal.Number.Float */
.highlight .mh { color: #666666 } /* Literal.Number.Hex */
.highlight .mi { color: #666666 } /* Literal.Number.Integer */
.highlight .mo { color: #666666 } /* Literal.Number.Oct */
.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
.highlight .sc { color: #BA2121 } /* Literal.String.Char */
.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
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.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
.highlight .sx { color: #008000 } /* Literal.String.Other */
.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
.highlight .ss { color: #19177C } /* Literal.String.Symbol */
.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
.highlight .fm { color: #0000FF } /* Name.Function.Magic */
.highlight .vc { color: #19177C } /* Name.Variable.Class */
.highlight .vg { color: #19177C } /* Name.Variable.Global */
.highlight .vi { color: #19177C } /* Name.Variable.Instance */
.highlight .vm { color: #19177C } /* Name.Variable.Magic */
.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
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<style type="text/css">
/* Overrides of notebook CSS for static HTML export */
body {
  overflow: visible;
  padding: 8px;
}

div#notebook {
  overflow: visible;
  border-top: none;
}@media print {
  div.cell {
    display: block;
    page-break-inside: avoid;
  } 
  div.output_wrapper { 
    display: block;
    page-break-inside: avoid; 
  }
  div.output { 
    display: block;
    page-break-inside: avoid; 
  }
}
</style>

<!-- Custom stylesheet, it must be in the same directory as the html file -->
<link rel="stylesheet" href="custom.css">

<!-- Loading mathjax macro -->
<!-- Load mathjax -->
    <script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/latest.js?config=TeX-AMS_HTML"></script>
    <!-- MathJax configuration -->
    <script type="text/x-mathjax-config">
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        tex2jax: {
            inlineMath: [ ['$','$'], ["\\(","\\)"] ],
            displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
            processEscapes: true,
            processEnvironments: true
        },
        // Center justify equations in code and markdown cells. Elsewhere
        // we use CSS to left justify single line equations in code cells.
        displayAlign: 'center',
        "HTML-CSS": {
            styles: {'.MathJax_Display': {"margin": 0}},
            linebreaks: { automatic: true }
        }
    });
    </script>
    <!-- End of mathjax configuration --></head>
<body>
  <div tabindex="-1" id="notebook" class="border-box-sizing">
    <div class="container" id="notebook-container">

<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
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<h1 id="Series-y-Dataframes-(PANDAS)">Series y Dataframes (PANDAS)<a class="anchor-link" href="#Series-y-Dataframes-(PANDAS)">&#182;</a></h1><p>En este notebook contiene las herramientas básicas que utilizaremos durante el curso para el manejo de datos de forma tabular. La biblioteca <em>Pandas</em> contiene dos estructuras para el manejo de datos llamadas <em>Series</em> y <em>DataFrames</em> las serán el caballo de batalla durante el curso. El uso de estas herramientas se elige por su fácil manejo en comparación con herramientas comunes para el manejo de datos de alto desempeño (como son bases de datos) y a la vez nos permiten un desempeño similar a las herramientas especializadas.</p>
<p>Para hacer uso de las herramietas dentro de la bibliotyeca <em>Pandas</em> ejecutamos el comando <code>import pandas</code> por simpleza se utilisa un un alias <code>pd</code>para poder usar dicho alias se declara de la siguiente forma</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
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<h2 id="Series">Series<a class="anchor-link" href="#Series">&#182;</a></h2><p>Las series son similares a un vector o una matriz unidimensional la cual contiene una secuencia de valores u objetos junto con un arreglo de etiquetas que se les llama <em>índices</em>. Una <em>Serie</em> en pandas se declara de la siguiente forma:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Serie_1</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="mi">10</span><span class="p">,</span><span class="mi">9</span><span class="p">,</span><span class="mi">8</span><span class="p">,</span><span class="mi">7</span><span class="p">,</span><span class="mi">6</span><span class="p">,</span><span class="mi">5</span><span class="p">,</span><span class="mi">4</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">1</span><span class="p">])</span>
<span class="n">Serie_1</span>
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<pre>0    10
1     9
2     8
3     7
4     6
5     5
6     4
7     3
8     2
9     1
dtype: int64</pre>
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<p>Como se observa en el ejemplo la primera columna son los índices de la <em>Serie</em>, mientras que la segunda son los valores. Por defecto los índices son enteros que van de $0$ a $N-1$, donde $N$ es la cantidad de datos que se tienen. Para acceder a los datos de forma de arreglos de tipo <em>numpy</em> usamos el atributo <code>values</code>de la <em>Series</em> mientras que para los índices usamos <code>index</code></p>

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<pre>array([10,  9,  8,  7,  6,  5,  4,  3,  2,  1])</pre>
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<pre>RangeIndex(start=0, stop=10, step=1)</pre>
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<p>Como se ve <em>pandas</em> utiliza una función similar a <em>range</em> para generar los índices, si de desea utilizar un conjunto especifico de elementos  para usar como índice esto se puede hacer al momento de crear la <em>serie</em>.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Serie_2</span><span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="mi">10</span><span class="p">,</span><span class="mi">9</span><span class="p">,</span><span class="mi">8</span><span class="p">,</span><span class="mi">7</span><span class="p">,</span><span class="mi">6</span><span class="p">,</span><span class="mi">5</span><span class="p">,</span><span class="mi">4</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">1</span><span class="p">,],</span> <span class="n">index</span> <span class="o">=</span><span class="p">[</span><span class="s1">&#39;e&#39;</span><span class="p">,</span><span class="s1">&#39;h&#39;</span><span class="p">,</span> <span class="s1">&#39;i&#39;</span><span class="p">,</span><span class="s1">&#39;a&#39;</span><span class="p">,</span> <span class="s1">&#39;b&#39;</span><span class="p">,</span><span class="s1">&#39;d&#39;</span><span class="p">,</span> <span class="s1">&#39;c&#39;</span><span class="p">,</span> <span class="s1">&#39;g&#39;</span><span class="p">,</span> <span class="s1">&#39;f&#39;</span><span class="p">,</span> <span class="s1">&#39;j&#39;</span><span class="p">])</span>
<span class="n">Serie_2</span>
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<pre>e    10
h     9
i     8
a     7
b     6
d     5
c     4
g     3
f     2
j     1
dtype: int64</pre>
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<pre>Index([&#39;e&#39;, &#39;h&#39;, &#39;i&#39;, &#39;a&#39;, &#39;b&#39;, &#39;d&#39;, &#39;c&#39;, &#39;g&#39;, &#39;f&#39;, &#39;j&#39;], dtype=&#39;object&#39;)</pre>
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<p>Para seleccionar algún valor dentro de la serie o un conjunto de valores utilizamos los <code>[]</code></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Serie_1</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
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<pre>10</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Serie_1</span><span class="p">[[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span><span class="mi">4</span><span class="p">]]</span>
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<pre>0    10
1     9
4     6
dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Serie_2</span><span class="p">[</span><span class="s1">&#39;a&#39;</span><span class="p">]</span>
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<pre>7</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Serie_2</span><span class="p">[[</span><span class="s1">&#39;a&#39;</span><span class="p">,</span> <span class="s1">&#39;c&#39;</span><span class="p">,</span> <span class="s1">&#39;b&#39;</span><span class="p">]]</span>
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<pre>a    7
c    4
b    6
dtype: int64</pre>
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<p>Como se observa, al pasar una lista de índices es distinto que solicitar un sólo elemento, la diferencia radica que al pasar una lista de índices el objeto que nos regresa es una <em>serie</em> que sólo contiene a los elementos solicitados.</p>
<p>Para modificar un elemento o un conjunto de elementos también utilizamos <code>[]</code></p>

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<pre>e    10
h     9
i     8
a    25
b     6
d     5
c     4
g     3
f     2
j     1
dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Serie_1</span><span class="p">[[</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">]]</span><span class="o">=</span> <span class="o">-</span><span class="mi">1</span>
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<pre>0   -1
1   -1
2   -1
3   -1
4    6
5    5
6    4
7    3
8    2
9    1
dtype: int64</pre>
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<p>Si en lugar de usar índices usamos un vector booleano del mismo tamaño filtramos los elementos de la <em>serie</em></p>

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<div class=" highlight hl-ipython3"><pre><span></span> <span class="n">Serie_1</span><span class="p">[[</span><span class="kc">True</span><span class="p">,</span><span class="kc">True</span><span class="p">,</span> <span class="kc">True</span><span class="p">,</span> <span class="kc">False</span><span class="p">,</span> <span class="kc">True</span><span class="p">,</span> <span class="kc">True</span><span class="p">,</span><span class="kc">False</span><span class="p">,</span><span class="kc">False</span><span class="p">,</span><span class="kc">False</span><span class="p">,</span><span class="kc">False</span> <span class="p">]]</span>
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<pre>0   -1
1   -1
2   -1
4    6
5    5
dtype: int64</pre>
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<p>Esto nos permite hacer filtros usando los condicionales booleanos de python, pues al utilizar los condicionales en la serie el resultado regresa una serie con verdarero (<code>True</code>) o falso (<code>False</code>) que podemos utilizar como un vector booleano para filtrar</p>

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<pre>0    False
1    False
2    False
3    False
4     True
5     True
6     True
7     True
8     True
9     True
dtype: bool</pre>
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<pre>4    6
5    5
6    4
7    3
8    2
9    1
dtype: int64</pre>
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<p>Una forma de pensar las series que puede resultar conveniente, es como diccionarios grandes, donde las llaves son los índices. A diferencia de los diccionarios podemos aplicar multiplicaciones, funciones matemáticas o condicionales booleanos a los valores y los resultados preservan la relación índice valor.</p>

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<pre>e     40
h     36
i     32
a    100
b     24
d     20
c     16
g     12
f      8
j      4
dtype: int64</pre>
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<pre>e     8
h    11
i    10
a    27
b     4
d     7
c     6
g     1
f     0
j     3
dtype: int64</pre>
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<pre>e    3.162278
h    3.000000
i    2.828427
a    5.000000
b    2.449490
d    2.236068
c    2.000000
g    1.732051
f    1.414214
j    1.000000
dtype: float64</pre>
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<p>Si el identificador de nuestros datos es lo que se utiliza como indice entonces podemos usar dicho identificador para determinar si un elemento se encuentra dentro de la <em>serie</em></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="s1">&#39;z&#39;</span> <span class="ow">in</span> <span class="n">Serie_2</span>
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<pre>False</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="s1">&#39;j&#39;</span> <span class="ow">in</span> <span class="n">Serie_2</span>
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<pre>True</pre>
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<p>Si una <em>serie</em> se parece a un diccionario, debería ser natural construir una <em>serie</em> a partir de un diccionario. Con tal proposito usando un diccionario como argumento al constructor (función que crea el objeto), en vez de una lista, se construye una <em>serie</em> donde las llaves del diccionario son los índices de la <em>serie</em>.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">diccionario</span><span class="o">=</span> <span class="p">{</span><span class="s1">&#39;Ana&#39;</span><span class="p">:</span><span class="mf">8.5</span><span class="p">,</span> <span class="s1">&#39;karla&#39;</span><span class="p">:</span><span class="mi">10</span><span class="p">,</span> <span class="s1">&#39;ruben&#39;</span><span class="p">:</span> <span class="mi">8</span> <span class="p">,</span> <span class="s1">&#39;ismael&#39;</span><span class="p">:</span> <span class="mi">9</span><span class="p">,</span> <span class="s1">&#39;ivan&#39;</span><span class="p">:</span><span class="mi">10</span> <span class="p">}</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Serie_3</span><span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">diccionario</span><span class="p">)</span>
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<pre>Ana        8.5
karla     10.0
ruben      8.0
ismael     9.0
ivan      10.0
dtype: float64</pre>
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<p>Si se desea un conjunto específico de índices en una <em>serie</em>, el conjunto se pasa como una lista como el parámetro <code>index</code>.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Nombres</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Ana&#39;</span><span class="p">,</span> <span class="s1">&#39;karla&#39;</span><span class="p">,</span>  <span class="s1">&#39;lucrecia&#39;</span><span class="p">,</span> <span class="s1">&#39;irma&#39;</span><span class="p">,</span> <span class="s1">&#39;ruben&#39;</span> <span class="p">,</span> <span class="s1">&#39;ismael&#39;</span><span class="p">,</span> <span class="s1">&#39;ivan&#39;</span> <span class="p">]</span>
<span class="n">Serie_4</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">diccionario</span><span class="p">,</span> <span class="n">index</span> <span class="o">=</span> <span class="n">Nombres</span><span class="p">)</span> 
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<pre>Ana          8.5
karla       10.0
lucrecia     NaN
irma         NaN
ruben        8.0
ismael       9.0
ivan        10.0
dtype: float64</pre>
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<p>Al construir la <em>serie</em> ésta mantiene el orden de los índices, en el primer caso mantiene el orden de las llaves de <code>diccionario</code>mentras que en el segundo la de la lista <code>Nombres</code>.</p>
<p>Si no existe un valor para algún índice, la acción por defecto en <em>pandas</em> es dar el valor <code>NaN</code> (<em>not a number</em>). No importa si la <em>serie</em> son números, strings u otro objeto de python <code>NaN</code> se utiliza para señalar que el valor no esta. Gracias a esta regla <em>pandas</em> tienen funciones para determinar que elementos son <code>NaN</code>y aquellos que no <strong>isnull</strong> y <strong>notnull</strong> son los funciones que se utilizan para tales motivos respectivamente.</p>

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<pre>Ana         False
karla       False
lucrecia     True
irma         True
ruben       False
ismael      False
ivan        False
dtype: bool</pre>
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<pre>Ana          True
karla        True
lucrecia    False
irma        False
ruben        True
ismael       True
ivan         True
dtype: bool</pre>
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<p>Estan funciones también se encuentran implementadoas en la <em>series</em> como métodos</p>

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<pre>Ana         False
karla       False
lucrecia     True
irma         True
ruben       False
ismael      False
ivan        False
dtype: bool</pre>
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<pre>Ana          True
karla        True
lucrecia    False
irma        False
ruben        True
ismael       True
ivan         True
dtype: bool</pre>
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<p>A partir de dos o más series es posible hacer operaciones respetando el vínculo índice valor,</p>

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<pre>Ana          8.5
karla       10.0
lucrecia     NaN
irma         NaN
ruben        8.0
ismael       9.0
ivan        10.0
dtype: float64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Serie_5</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">({</span><span class="s1">&#39;raul&#39;</span><span class="p">:</span> <span class="mi">6</span><span class="p">,</span> <span class="s1">&#39;maria&#39;</span><span class="p">:</span><span class="mi">10</span><span class="p">,</span> <span class="s1">&#39;emilio&#39;</span><span class="p">:</span><span class="mi">8</span><span class="p">,</span> <span class="s1">&#39;alfredo&#39;</span><span class="p">:</span> <span class="mf">9.5</span><span class="p">,</span> <span class="s1">&#39;ivan&#39;</span><span class="p">:</span> <span class="mf">7.5</span><span class="p">,</span> <span class="s1">&#39;fabian&#39;</span><span class="p">:</span><span class="mf">7.5</span><span class="p">,</span> <span class="s1">&#39;ismael&#39;</span><span class="p">:</span> <span class="mi">7</span><span class="p">})</span>
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<pre>raul        6.0
maria      10.0
emilio      8.0
alfredo     9.5
ivan        7.5
fabian      7.5
ismael      7.0
dtype: float64</pre>
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<pre>Ana          NaN
alfredo      NaN
emilio       NaN
fabian       NaN
irma         NaN
ismael      16.0
ivan        17.5
karla        NaN
lucrecia     NaN
maria        NaN
raul         NaN
ruben        NaN
dtype: float64</pre>
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<p>Al no poder hacer la operación en ciertos elementos el comportamiento por defecto en <em>pandas</em> es que determinar que no hay valor, lo cual hace  más relevante el uso de las funciónes <code>isnull</code> y <code>notnull</code>.</p>
<p>A las <em>series</em> se les puede dar un nombre este se encuentra en la instancia <code>name</code> dentro de la <em>serie</em>, de forma similar y como buena practica se recomienda que los índices tengan nombre este se encuentra dentro de la instancia <code>index.name</code>.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Serie_4</span><span class="o">.</span><span class="n">name</span><span class="o">=</span> <span class="s1">&#39;Calificaciones&#39;</span>
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<pre>Nombre
Ana          8.5
karla       10.0
lucrecia     NaN
irma         NaN
ruben        8.0
ismael       9.0
ivan        10.0
Name: Calificaciones, dtype: float64</pre>
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<p>Esto será de gran utilidad al combinar series para hacer manejos complicados en los datos.</p>
<p>De ser necesario es posible cambiar los índices, para tal motivo es necesario dar una lista con los nuevos índices que sea del mismo tamaño que la longitud de la <em>serie</em>,</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Serie_4</span><span class="o">.</span><span class="n">index</span><span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Ana&#39;</span><span class="p">,</span> <span class="s1">&#39;Karla&#39;</span><span class="p">,</span> <span class="s1">&#39;Lucrecia&#39;</span><span class="p">,</span> <span class="s1">&#39;Irma&#39;</span><span class="p">,</span> <span class="s1">&#39;Ruben&#39;</span><span class="p">,</span> <span class="s1">&#39;Ismael&#39;</span><span class="p">,</span> <span class="s1">&#39;Carlos Ivan&#39;</span><span class="p">]</span>
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<pre>Ana             8.5
Karla          10.0
Lucrecia        NaN
Irma            NaN
Ruben           8.0
Ismael          9.0
Carlos Ivan    10.0
Name: Calificaciones, dtype: float64</pre>
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<p>Una instancia dentro de las series que nos puede ser de utilidad es la instancia <code>shape</code> la cual nos regresa una tupla en donde la primera entrada es el tamaño de la <em>serie</em> y la segunda se encuentra vacia.</p>

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<pre>(7,)</pre>
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<pre>7</pre>
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<p>Otra forma de acceder a los elementos dentro de una serie es utilizando</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Serie_4</span><span class="p">[</span><span class="s1">&#39;Ruben&#39;</span><span class="p">]</span>
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<pre>8.0</pre>
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<h2 id="DataFrames">DataFrames<a class="anchor-link" href="#DataFrames">&#182;</a></h2><p>Los <em>dataframes</em> de <em>pandas</em> se crearon usando como base los dataframes usados en <em>R</em>, el lenguage de programación <a href="https://www.r-project.org/"><em>R</em></a> fue creado con la intención de generar herramientas especializadas en estadística por <em>Ross Ihaka</em> y <em>Robert Gentleman</em> en la Universidad de Aucland, en caso de ser necesario se usará <em>R</em>.</p>
<p>Los <em>Dataframes</em> son la herrmaienta utilizaremos con mayor frecuencia durante el curso. La selección de esta herramienta se debe a que permite un manejo de los datos en forma de tabla, aunque existen otras herramientas que nos permiten tener los datos en forma de tablas, como son las bases de datos, la facilidad de como se manejan de las columnas de los <em>dataframes</em> dentro de <em>pandas</em> convierte a los <em>Dataframes</em> en herramientas accesibles y poderosas.</p>
<p>Una forma de pensar a los <em>Dataframes</em> es como un diccionario de diccionarios, o un diccionario de <em>Series</em>, estas dos formas serán convenientes dependiendo de las problemáticas a resolver y como se desee interpretar la información que se analiza.</p>
<p>Para construir nuestro primer <em>dataframe</em> usemos la primera analogía.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dic_dic</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;Poblacion&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;Baja California&#39;</span><span class="p">:</span><span class="mi">2844469</span><span class="p">,</span> <span class="s1">&#39;Ciudad de Mexico&#39;</span><span class="p">:</span> <span class="mi">8720916</span><span class="p">,</span> <span class="s1">&#39;Hidalgo&#39;</span><span class="p">:</span><span class="mi">2345514</span><span class="p">,</span> <span class="s1">&#39;Morelos&#39;</span><span class="p">:</span><span class="mi">1612899</span><span class="p">,</span><span class="s1">&#39;Nayarit&#39;</span><span class="p">:</span><span class="mi">949684</span> <span class="p">},</span>
<span class="s1">&#39;Poblacion_60_a&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;Baja California&#39;</span><span class="p">:</span><span class="mi">164888</span><span class="p">,</span> <span class="s1">&#39;Ciudad de Mexico&#39;</span><span class="p">:</span><span class="mi">859438</span> <span class="p">,</span> <span class="s1">&#39;Hidalgo&#39;</span><span class="p">:</span><span class="mi">204325</span><span class="p">,</span> <span class="s1">&#39;Morelos&#39;</span><span class="p">:</span><span class="mi">143942</span><span class="p">,</span><span class="s1">&#39;Nayarit&#39;</span><span class="p">:</span><span class="mi">9061</span><span class="p">},</span>
<span class="s1">&#39;Poblacion_0_4&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;Baja California&#39;</span><span class="p">:</span><span class="mi">267954</span><span class="p">,</span> <span class="s1">&#39;Ciudad de Mexico&#39;</span><span class="p">:</span><span class="mi">664092</span><span class="p">,</span> <span class="s1">&#39;Hidalgo&#39;</span><span class="p">:</span><span class="mi">237423</span><span class="p">,</span> <span class="s1">&#39;Morelos&#39;</span><span class="p">:</span><span class="mi">150281</span><span class="p">,</span> <span class="s1">&#39;Nayarit&#39;</span><span class="p">:</span><span class="mi">92384</span><span class="p">},</span>
<span class="s1">&#39;Poblacion_5_9&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;Ciudad de Mexico&#39;</span><span class="p">:</span> <span class="mi">671579</span><span class="p">,</span> <span class="s1">&#39;Hidalgo&#39;</span><span class="p">:</span><span class="mi">243185</span><span class="p">,</span> <span class="s1">&#39;Morelos&#39;</span><span class="p">:</span><span class="mi">157253</span><span class="p">,</span> <span class="s1">&#39;Nayarit&#39;</span><span class="p">:</span><span class="mi">96834</span><span class="p">,</span> <span class="s1">&#39;Baja California&#39;</span><span class="p">:</span><span class="mi">277635</span><span class="p">},</span>
<span class="s1">&#39;Poblacion_10_14&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;Baja California&#39;</span><span class="p">:</span><span class="mi">267938</span><span class="p">,</span> <span class="s1">&#39;Ciudad de Mexico&#39;</span><span class="p">:</span><span class="mi">704950</span><span class="p">,</span> <span class="s1">&#39;Hidalgo&#39;</span><span class="p">:</span><span class="mi">270650</span><span class="p">,</span> <span class="s1">&#39;Morelos&#39;</span><span class="p">:</span><span class="mi">168541</span><span class="p">,</span> <span class="s1">&#39;Nayarit&#39;</span><span class="p">:</span><span class="mi">103122</span><span class="p">}</span>
<span class="p">}</span>
 
<span class="n">df_1</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">dic_dic</span><span class="p">)</span>
<span class="n">df_1</span>
</pre></div>

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<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Poblacion</th>
      <th>Poblacion_60_a</th>
      <th>Poblacion_0_4</th>
      <th>Poblacion_5_9</th>
      <th>Poblacion_10_14</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>Baja California</td>
      <td>2844469</td>
      <td>164888</td>
      <td>267954</td>
      <td>277635</td>
      <td>267938</td>
    </tr>
    <tr>
      <td>Ciudad de Mexico</td>
      <td>8720916</td>
      <td>859438</td>
      <td>664092</td>
      <td>671579</td>
      <td>704950</td>
    </tr>
    <tr>
      <td>Hidalgo</td>
      <td>2345514</td>
      <td>204325</td>
      <td>237423</td>
      <td>243185</td>
      <td>270650</td>
    </tr>
    <tr>
      <td>Morelos</td>
      <td>1612899</td>
      <td>143942</td>
      <td>150281</td>
      <td>157253</td>
      <td>168541</td>
    </tr>
    <tr>
      <td>Nayarit</td>
      <td>949684</td>
      <td>9061</td>
      <td>92384</td>
      <td>96834</td>
      <td>103122</td>
    </tr>
  </tbody>
</table>
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<p>Como se observa el comportamiento por defecto de la función constructora usando un diccionario de diccionarios (diccionarios anidados) es tomar como columnas las llaves del diccionario exterior y como renglones las llaves de los diccionarios internos. Si quisieramos que fuese las columnas se convirtieran en los renglones existen varias formas de lograr este cometido la más simples es tomar la transpuesta del <em>dataframe</em>.</p>
<p>Recornando sus clases de matemáticas tomar la transpuesta es cambiar los renglones de una matriz y convertirlos en columnas respetando el orden dado, esta operación se puede hacer en los dataframes de forma muy fácil usando el método implementado en los <em>dataframes</em></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_1</span><span class="o">.</span><span class="n">T</span>
</pre></div>

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<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Baja California</th>
      <th>Ciudad de Mexico</th>
      <th>Hidalgo</th>
      <th>Morelos</th>
      <th>Nayarit</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>Poblacion</td>
      <td>2844469</td>
      <td>8720916</td>
      <td>2345514</td>
      <td>1612899</td>
      <td>949684</td>
    </tr>
    <tr>
      <td>Poblacion_60_a</td>
      <td>164888</td>
      <td>859438</td>
      <td>204325</td>
      <td>143942</td>
      <td>9061</td>
    </tr>
    <tr>
      <td>Poblacion_0_4</td>
      <td>267954</td>
      <td>664092</td>
      <td>237423</td>
      <td>150281</td>
      <td>92384</td>
    </tr>
    <tr>
      <td>Poblacion_5_9</td>
      <td>277635</td>
      <td>671579</td>
      <td>243185</td>
      <td>157253</td>
      <td>96834</td>
    </tr>
    <tr>
      <td>Poblacion_10_14</td>
      <td>267938</td>
      <td>704950</td>
      <td>270650</td>
      <td>168541</td>
      <td>103122</td>
    </tr>
  </tbody>
</table>
</div>
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<p>Muchas de las operaciones que se pueden hacer con matrices es posibles hacerlas con los <em>dataframes</em> y es de las cosas que se atenderan durante el curso, esta operación muestra la capacidad de los <em>dataframes</em> para ser operados por renglones o columnas.</p>
<p>La mayoría de las operaciones que se están implementadas en <em>pandas</em> dejan al objeto en su forma original al menos que se indique lo contrario, es decir <code>df_1</code> sigue siendo el mismo y no se vio afectado por la operación <code>.T</code>, esto es importante tenerlo en cuenta pues es causa común de errores al hacer código.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_1</span>
</pre></div>

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<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Poblacion</th>
      <th>Poblacion_60_a</th>
      <th>Poblacion_0_4</th>
      <th>Poblacion_5_9</th>
      <th>Poblacion_10_14</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>Baja California</td>
      <td>2844469</td>
      <td>164888</td>
      <td>267954</td>
      <td>277635</td>
      <td>267938</td>
    </tr>
    <tr>
      <td>Ciudad de Mexico</td>
      <td>8720916</td>
      <td>859438</td>
      <td>664092</td>
      <td>671579</td>
      <td>704950</td>
    </tr>
    <tr>
      <td>Hidalgo</td>
      <td>2345514</td>
      <td>204325</td>
      <td>237423</td>
      <td>243185</td>
      <td>270650</td>
    </tr>
    <tr>
      <td>Morelos</td>
      <td>1612899</td>
      <td>143942</td>
      <td>150281</td>
      <td>157253</td>
      <td>168541</td>
    </tr>
    <tr>
      <td>Nayarit</td>
      <td>949684</td>
      <td>9061</td>
      <td>92384</td>
      <td>96834</td>
      <td>103122</td>
    </tr>
  </tbody>
</table>
</div>
</div>

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<p>Para entender un poco más de como se construyen los <em>datafremes</em> modifiquemos un poco el diccionario añadiendo elementos a los diccionarios internos para que ver el comportamiento con diccionarios de distinto tamaño.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dic_dic</span><span class="p">[</span><span class="s1">&#39;Poblacion&#39;</span><span class="p">][</span><span class="s1">&#39;Tamaulipas&#39;</span><span class="p">]</span><span class="o">=</span>	<span class="mi">3024238</span>
<span class="n">df_2</span> <span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">dic_dic</span><span class="p">)</span>
<span class="n">df_2</span>
</pre></div>

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<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Poblacion</th>
      <th>Poblacion_60_a</th>
      <th>Poblacion_0_4</th>
      <th>Poblacion_5_9</th>
      <th>Poblacion_10_14</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>Baja California</td>
      <td>2844469</td>
      <td>164888.0</td>
      <td>267954.0</td>
      <td>277635.0</td>
      <td>267938.0</td>
    </tr>
    <tr>
      <td>Ciudad de Mexico</td>
      <td>8720916</td>
      <td>859438.0</td>
      <td>664092.0</td>
      <td>671579.0</td>
      <td>704950.0</td>
    </tr>
    <tr>
      <td>Hidalgo</td>
      <td>2345514</td>
      <td>204325.0</td>
      <td>237423.0</td>
      <td>243185.0</td>
      <td>270650.0</td>
    </tr>
    <tr>
      <td>Morelos</td>
      <td>1612899</td>
      <td>143942.0</td>
      <td>150281.0</td>
      <td>157253.0</td>
      <td>168541.0</td>
    </tr>
    <tr>
      <td>Nayarit</td>
      <td>949684</td>
      <td>9061.0</td>
      <td>92384.0</td>
      <td>96834.0</td>
      <td>103122.0</td>
    </tr>
    <tr>
      <td>Tamaulipas</td>
      <td>3024238</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
  </tbody>
</table>
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<p>La función constructura de los <em>dataframes</em> nos permite que los diccionarios tengan distintos tamaños pues existe un forma de determinar la relación índice-valor. Una diferencía con respecto a esto, es cuando se construye un <em>dataframe</em> a partir de un diccionario de listas, <em>pandas</em> asumirá que la relación índice-valor esta dada por el orden en las listas.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dic_lis</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;Poblacion&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">2844469</span><span class="p">,</span>  <span class="mi">8720916</span><span class="p">,</span> <span class="mi">2345514</span><span class="p">,</span> <span class="mi">1612899</span><span class="p">,</span><span class="mi">949684</span> <span class="p">],</span>
<span class="s1">&#39;Poblacion_60_a&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">164888</span><span class="p">,</span> <span class="mi">859438</span> <span class="p">,</span> <span class="mi">204325</span><span class="p">,</span> <span class="mi">143942</span><span class="p">,</span><span class="mi">9061</span><span class="p">],</span>
<span class="s1">&#39;Poblacion_0_4&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">267954</span><span class="p">,</span> <span class="mi">664092</span><span class="p">,</span> <span class="mi">237423</span><span class="p">,</span> <span class="mi">150281</span><span class="p">,</span> <span class="mi">92384</span><span class="p">],</span>
<span class="s1">&#39;Poblacion_5_9&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">277635</span><span class="p">,</span> <span class="mi">671579</span><span class="p">,</span> <span class="mi">243185</span><span class="p">,</span> <span class="mi">157253</span><span class="p">,</span> <span class="mi">96834</span><span class="p">],</span>
<span class="s1">&#39;Poblacion_10_14&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">267938</span><span class="p">,</span><span class="mi">704950</span><span class="p">,</span> <span class="mi">270650</span><span class="p">,</span> <span class="mi">168541</span><span class="p">,</span><span class="mi">103122</span><span class="p">]}</span>
<span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">dic_lis</span><span class="p">)</span>
</pre></div>

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<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Poblacion</th>
      <th>Poblacion_60_a</th>
      <th>Poblacion_0_4</th>
      <th>Poblacion_5_9</th>
      <th>Poblacion_10_14</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>0</td>
      <td>2844469</td>
      <td>164888</td>
      <td>267954</td>
      <td>277635</td>
      <td>267938</td>
    </tr>
    <tr>
      <td>1</td>
      <td>8720916</td>
      <td>859438</td>
      <td>664092</td>
      <td>671579</td>
      <td>704950</td>
    </tr>
    <tr>
      <td>2</td>
      <td>2345514</td>
      <td>204325</td>
      <td>237423</td>
      <td>243185</td>
      <td>270650</td>
    </tr>
    <tr>
      <td>3</td>
      <td>1612899</td>
      <td>143942</td>
      <td>150281</td>
      <td>157253</td>
      <td>168541</td>
    </tr>
    <tr>
      <td>4</td>
      <td>949684</td>
      <td>9061</td>
      <td>92384</td>
      <td>96834</td>
      <td>103122</td>
    </tr>
  </tbody>
</table>
</div>
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<p>Al no tener etiquetas el índice en el <em>dataframe</em> se toma como un rango por defecto, igual que se hace con la construcción de las <em>series</em>. Sin embargo al utilizar listas es necesario que todas tengan el mismo tamaño y que las listas esten ordenadas, es decir que los datos en el indice <em>i</em> de una lista correspondan al dato <em>i</em> en todas las otras. Si se ponen atención en los ejemplos mostrados los datos en el diciionario anidado no se encuentran en orden, no es necesarios que los diccionarios internos tengan el mismo orden, pues se tiene las llaves de los diccionarios internos para asegurar que al generar el dataframe se mantenga la relación índice-valor.</p>

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<p>Ahora construimos un <em>dataframe</em> a partir de un diccionario de series.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dic_ser</span><span class="o">=</span> <span class="p">{</span><span class="s1">&#39;Poblacion&#39;</span><span class="p">:</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">({</span><span class="s1">&#39;Puebla&#39;</span><span class="p">:</span><span class="mi">5383133</span><span class="p">,</span><span class="s1">&#39;Quintana Roo&#39;</span><span class="p">:</span><span class="mi">1135309</span><span class="p">,</span> <span class="s1">&#39;Sinaloa&#39;</span><span class="p">:</span><span class="mi">2608442</span><span class="p">}),</span>
          <span class="s1">&#39;Poblacion_0_4&#39;</span><span class="p">:</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">({</span><span class="s1">&#39;Puebla&#39;</span><span class="p">:</span><span class="mi">579804</span><span class="p">,</span><span class="s1">&#39;Quintana Roo&#39;</span><span class="p">:</span><span class="mi">107380</span><span class="p">,</span> <span class="s1">&#39;Sinaloa&#39;</span><span class="p">:</span><span class="mi">244907</span><span class="p">}),</span>
          <span class="s1">&#39;Poblacion_5_9&#39;</span><span class="p">:</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">({</span><span class="s1">&#39;Puebla&#39;</span><span class="p">:</span><span class="mi">586108</span><span class="p">,</span><span class="s1">&#39;Quintana Roo&#39;</span><span class="p">:</span><span class="mi">106802</span><span class="p">,</span> <span class="s1">&#39;Sinaloa&#39;</span><span class="p">:</span><span class="mi">262539</span><span class="p">}),</span>
          <span class="s1">&#39;Poblacion_10_14&#39;</span><span class="p">:</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">({</span><span class="s1">&#39;Puebla&#39;</span><span class="p">:</span><span class="mi">624075</span><span class="p">,</span><span class="s1">&#39;Quintana Roo&#39;</span><span class="p">:</span><span class="mi">106745</span><span class="p">,</span> <span class="s1">&#39;Sinaloa&#39;</span><span class="p">:</span><span class="mi">275179</span><span class="p">}),</span>
          <span class="s1">&#39;Poblacion_60_a&#39;</span><span class="p">:</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">({</span><span class="s1">&#39;Puebla&#39;</span><span class="p">:</span><span class="mi">440546</span><span class="p">,</span><span class="s1">&#39;Quintana Roo&#39;</span><span class="p">:</span><span class="mi">44163</span><span class="p">,</span> <span class="s1">&#39;Sinaloa&#39;</span><span class="p">:</span><span class="mi">220998</span><span class="p">})</span>
         <span class="p">}</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_2</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">dic_ser</span><span class="p">)</span>
<span class="n">df_2</span>
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    }

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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Poblacion</th>
      <th>Poblacion_0_4</th>
      <th>Poblacion_5_9</th>
      <th>Poblacion_10_14</th>
      <th>Poblacion_60_a</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>Puebla</td>
      <td>5383133</td>
      <td>579804</td>
      <td>586108</td>
      <td>624075</td>
      <td>440546</td>
    </tr>
    <tr>
      <td>Quintana Roo</td>
      <td>1135309</td>
      <td>107380</td>
      <td>106802</td>
      <td>106745</td>
      <td>44163</td>
    </tr>
    <tr>
      <td>Sinaloa</td>
      <td>2608442</td>
      <td>244907</td>
      <td>262539</td>
      <td>275179</td>
      <td>220998</td>
    </tr>
  </tbody>
</table>
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<p>Es posible definir el orden en el cual se encuentran las columnas de los dataframes y tambíen que columnas se encuentren dentro, esto lo podemos hacer desde la función constructor del dataframe</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_3</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">dic_ser</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Poblacion_0_4&#39;</span><span class="p">,</span><span class="s1">&#39;Poblacion_5_9&#39;</span><span class="p">,</span> <span class="s1">&#39;Poblacion_60_a&#39;</span><span class="p">,</span> <span class="s1">&#39;Poblacion&#39;</span> <span class="p">])</span>
<span class="n">df_3</span>
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        vertical-align: top;
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Poblacion_0_4</th>
      <th>Poblacion_5_9</th>
      <th>Poblacion_60_a</th>
      <th>Poblacion</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>Puebla</td>
      <td>579804</td>
      <td>586108</td>
      <td>440546</td>
      <td>5383133</td>
    </tr>
    <tr>
      <td>Quintana Roo</td>
      <td>107380</td>
      <td>106802</td>
      <td>44163</td>
      <td>1135309</td>
    </tr>
    <tr>
      <td>Sinaloa</td>
      <td>244907</td>
      <td>262539</td>
      <td>220998</td>
      <td>2608442</td>
    </tr>
  </tbody>
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<p>Otra forma en la cual nos seria útil construir los <em>dataframes</em> es a partir de un diccionario de diccionarios</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dic_cic_2</span><span class="o">=</span> <span class="p">{</span> <span class="s1">&#39;Poblacion&#39;</span><span class="p">:{</span><span class="s1">&#39;Puebla&#39;</span><span class="p">:</span><span class="mi">5383133</span><span class="p">,</span><span class="s1">&#39;Quintana Roo&#39;</span><span class="p">:</span><span class="mi">1135309</span><span class="p">,</span> <span class="s1">&#39;Sinaloa&#39;</span><span class="p">:</span><span class="mi">2608442</span><span class="p">},</span>
<span class="s1">&#39;Poblacion_0_4&#39;</span><span class="p">:{</span><span class="s1">&#39;Puebla&#39;</span><span class="p">:</span><span class="mi">579804</span><span class="p">,</span><span class="s1">&#39;Quintana Roo&#39;</span><span class="p">:</span><span class="mi">107380</span><span class="p">,</span> <span class="s1">&#39;Sinaloa&#39;</span><span class="p">:</span><span class="mi">244907</span><span class="p">},</span>
<span class="s1">&#39;Poblacion_5_9&#39;</span><span class="p">:{</span><span class="s1">&#39;Puebla&#39;</span><span class="p">:</span><span class="mi">586108</span><span class="p">,</span><span class="s1">&#39;Quintana Roo&#39;</span><span class="p">:</span><span class="mi">106802</span><span class="p">,</span> <span class="s1">&#39;Sinaloa&#39;</span><span class="p">:</span><span class="mi">262539</span><span class="p">},</span>
<span class="s1">&#39;Poblacion_10_14&#39;</span><span class="p">:{</span><span class="s1">&#39;Puebla&#39;</span><span class="p">:</span><span class="mi">624075</span><span class="p">,</span><span class="s1">&#39;Quintana Roo&#39;</span><span class="p">:</span><span class="mi">106745</span><span class="p">,</span> <span class="s1">&#39;Sinaloa&#39;</span><span class="p">:</span><span class="mi">275179</span><span class="p">},</span>
<span class="s1">&#39;Poblacion_60_a&#39;</span><span class="p">:{</span><span class="s1">&#39;Puebla&#39;</span><span class="p">:</span><span class="mi">440546</span><span class="p">,</span><span class="s1">&#39;Quintana Roo&#39;</span><span class="p">:</span><span class="mi">44163</span><span class="p">,</span> <span class="s1">&#39;Sinaloa&#39;</span><span class="p">:</span><span class="mi">220998</span><span class="p">}}</span>
<span class="n">df_4</span><span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">dic_cic_2</span><span class="p">)</span>
<span class="n">df_4</span>
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        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Poblacion</th>
      <th>Poblacion_0_4</th>
      <th>Poblacion_5_9</th>
      <th>Poblacion_10_14</th>
      <th>Poblacion_60_a</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>Puebla</td>
      <td>5383133</td>
      <td>579804</td>
      <td>586108</td>
      <td>624075</td>
      <td>440546</td>
    </tr>
    <tr>
      <td>Quintana Roo</td>
      <td>1135309</td>
      <td>107380</td>
      <td>106802</td>
      <td>106745</td>
      <td>44163</td>
    </tr>
    <tr>
      <td>Sinaloa</td>
      <td>2608442</td>
      <td>244907</td>
      <td>262539</td>
      <td>275179</td>
      <td>220998</td>
    </tr>
  </tbody>
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<p>Los valores en el diccionario se toman como columnas, con el nombre de las llaves en el diccionario. Recordemos que los índices y las columnas pueden ser cosas distintas no sólo <em>strings</em>, pueden ser tuplas, enteros, flotantes, etc.</p>
<p>A continuación mostramos una tabla con los posibles estructuras de datos que pueden utilizarse para generar un <em>dataframe</em> en <em>pandas</em>.</p>
<table>
<thead><tr>
<th style="text-align:left">Estructura datos</th>
<th style="text-align:center">Descripción</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left">Array 2D</td>
<td style="text-align:center">Una matriz de <em>numpy</em> .</td>
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<tr>
<td style="text-align:left">Diccionaro de <em>array</em>, lista, o tuplas</td>
<td style="text-align:center">Cada valor en el diccionario se convierte en <br> una columna en el <em>dataframe</em> en donde cada <em>array</em>,<br> lista o tupla tienen que ser de la misma longitud.</td>
</tr>
<tr>
<td style="text-align:left">Diccionario de <em>Series</em></td>
<td style="text-align:center">Cada valor del diccionario se convierte en una<br> columna cuya etiqueta se toma de las llaves (<code>key</code>); <br>los índices son la unión del conjunto de índices de <br> todas las <em>series</em>, si no se pasa un índice explicitamente.</td>
</tr>
<tr>
<td style="text-align:left">Dicccionario de diccionarios</td>
<td style="text-align:center">Cada diccionario internos se convierte en una<br> columna; los índices se forman a partir de la unión <br>de las  llaves(<code>key</code>) de los diccionarios internos.</td>
</tr>
<tr>
<td style="text-align:left">Lista de diccionarios o <em>Series</em></td>
<td style="text-align:center">Los elementos de las listas o diccionarios<br> se convierten en renglones en el <em>dataframe</em>, la unión<br> de las llaves del diccionario o de los índices<br> de las <em>Series</em>, se vuelven las etiquetas de los renglones.</td>
</tr>
<tr>
<td style="text-align:left">Listas de listas o tuplas</td>
<td style="text-align:center">Se toma como el caso de <em>Array 2D</em>.</td>
</tr>
<tr>
<td style="text-align:left">Otro <em>dataframe</em></td>
<td style="text-align:center">Se utilizan los íondices del dataframe si no se pasa otro distinto.</td>
</tr>
<tr>
<td style="text-align:left">Numpy Array enmascarada</td>
<td style="text-align:center">Como <em>Array 2D</em> salvo aquellos que tengan <br> <code>False</code> en la matriz mascara, se tomaran como <em>NA</em>.</td>
</tr>
</tbody>
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<h2 id="&#205;ndices">&#205;ndices<a class="anchor-link" href="#&#205;ndices">&#182;</a></h2><p>Como hemos visto los índices son una parte muy importante para el manejo de los datos tanto en las <em>series</em> como en los <em>dataframes</em>. Son tan importantes que los índices de éstas estructuras tienen su propio objeto dedicado en <em>pandas</em> el cual esta encargado de almacenar las etiquetas</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Serie_1</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">10</span><span class="p">),</span> <span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;b&#39;</span><span class="p">,</span><span class="s1">&#39;e&#39;</span><span class="p">,</span><span class="s1">&#39;f&#39;</span><span class="p">,</span><span class="s1">&#39;g&#39;</span><span class="p">,</span><span class="s1">&#39;h&#39;</span><span class="p">,</span><span class="s1">&#39;i&#39;</span><span class="p">,</span><span class="s1">&#39;k&#39;</span><span class="p">,</span><span class="s1">&#39;n&#39;</span><span class="p">,</span><span class="s1">&#39;z&#39;</span> <span class="p">,</span><span class="s1">&#39;w&#39;</span><span class="p">])</span>
<span class="n">Serie_1</span>
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<pre>b    0
e    1
f    2
g    3
h    4
i    5
k    6
n    7
z    8
w    9
dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">indice</span><span class="o">=</span> <span class="n">Serie_1</span><span class="o">.</span><span class="n">index</span>
<span class="n">indice</span>
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<pre>Index([&#39;b&#39;, &#39;e&#39;, &#39;f&#39;, &#39;g&#39;, &#39;h&#39;, &#39;i&#39;, &#39;k&#39;, &#39;n&#39;, &#39;z&#39;, &#39;w&#39;], dtype=&#39;object&#39;)</pre>
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<p>Al construir la <em>serie</em> o un <em>dataframe</em> el conjunto que se define como índice, ya sea un array o una secuencia, se convierte de forma interna a un objeto de este tipo.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">indice</span><span class="p">[</span><span class="mi">1</span><span class="p">:]</span>
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<pre>Index([&#39;e&#39;, &#39;f&#39;, &#39;g&#39;, &#39;h&#39;, &#39;i&#39;, &#39;k&#39;, &#39;n&#39;, &#39;z&#39;, &#39;w&#39;], dtype=&#39;object&#39;)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">indice</span><span class="p">[:</span><span class="mi">5</span><span class="p">]</span>
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<pre>Index([&#39;b&#39;, &#39;e&#39;, &#39;f&#39;, &#39;g&#39;, &#39;h&#39;], dtype=&#39;object&#39;)</pre>
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<p>Los índices son del tipo inmutable, es decir que no pueden ser modificados por el usuario, si 
para ser modificado es necesario redefinirlos a través de funciones hechas para tal proposito.</p>
<h2 id="Reindexar">Reindexar<a class="anchor-link" href="#Reindexar">&#182;</a></h2><p>Un método dentro de las <em>series</em> y los <em>dataframes</em> que es útil es el de reindexar el cual nos permite crear un objeto nuevo a partir de los datos de otro formado por un nuevo índice.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Serie_1</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span><span class="mi">30</span><span class="p">),</span> <span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">5</span><span class="p">,</span><span class="mi">6</span><span class="p">,</span><span class="mi">9</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">15</span><span class="p">,</span><span class="mi">12</span><span class="p">,</span><span class="mi">4</span><span class="p">,</span><span class="mi">7</span><span class="p">,</span><span class="mi">13</span><span class="p">])</span>
<span class="n">Serie_1</span>
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<pre>0     20
5     21
6     22
9     23
3     24
15    25
12    26
4     27
7     28
13    29
dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Ses</span><span class="o">=</span><span class="n">Serie_1</span><span class="o">.</span><span class="n">reindex</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">10</span><span class="p">))</span><span class="c1">#[0,1,2,3,4,5,6,7,8,9]) </span>
<span class="n">Ses</span>
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<pre>0    20.0
1     NaN
2     NaN
3    24.0
4    27.0
5    21.0
6    22.0
7    28.0
8     NaN
9    23.0
dtype: float64</pre>
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<p>La función nos permite hacer generar un objeto nuevo el cual tiene el orden y los datos deseados, a los datos que no se encuentren en el objeto original se les asigna <code>NaN</code>. Si los datos tienen cierto orden, es posible hacer una interpolación y determijnar un valor para los datos faltantes.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Ses</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="s1">&#39;rojo&#39;</span><span class="p">,</span><span class="s1">&#39;rojo&#39;</span><span class="p">,</span><span class="s1">&#39;rojo&#39;</span><span class="p">,</span><span class="s1">&#39;rojo&#39;</span><span class="p">,</span><span class="s1">&#39;rojo&#39;</span><span class="p">,</span><span class="s1">&#39;rojo&#39;</span><span class="p">,</span><span class="s1">&#39;azul&#39;</span><span class="p">,</span><span class="s1">&#39;azul&#39;</span><span class="p">,</span><span class="s1">&#39;azul&#39;</span><span class="p">,</span><span class="s1">&#39;azul&#39;</span><span class="p">,</span><span class="s1">&#39;azul&#39;</span><span class="p">,</span>
           <span class="s1">&#39;verde&#39;</span><span class="p">,</span> <span class="s1">&#39;verde&#39;</span><span class="p">,</span> <span class="s1">&#39;verde&#39;</span><span class="p">,</span> <span class="s1">&#39;verde&#39;</span><span class="p">,</span> <span class="s1">&#39;verde&#39;</span><span class="p">,</span> <span class="s1">&#39;verde&#39;</span><span class="p">,</span> <span class="s1">&#39;verde&#39;</span><span class="p">,</span> <span class="s1">&#39;verde&#39;</span><span class="p">,</span> <span class="s1">&#39;verde&#39;</span><span class="p">],</span> 
          <span class="n">index</span> <span class="o">=</span><span class="p">[</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">5</span><span class="p">,</span><span class="mi">6</span><span class="p">,</span><span class="mi">8</span><span class="p">,</span><span class="mi">9</span><span class="p">,</span><span class="mi">11</span><span class="p">,</span><span class="mi">12</span><span class="p">,</span><span class="mi">14</span><span class="p">,</span><span class="mi">15</span><span class="p">,</span><span class="mi">17</span><span class="p">,</span><span class="mi">18</span><span class="p">,</span><span class="mi">20</span><span class="p">,</span><span class="mi">21</span><span class="p">,</span><span class="mi">23</span><span class="p">,</span><span class="mi">24</span><span class="p">,</span><span class="mi">26</span><span class="p">,</span><span class="mi">27</span><span class="p">,</span><span class="mi">29</span><span class="p">,</span><span class="mi">30</span><span class="p">])</span>
<span class="n">Ses_2</span><span class="o">=</span><span class="n">Ses</span><span class="o">.</span><span class="n">reindex</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span><span class="mi">25</span><span class="p">),</span> <span class="n">method</span><span class="o">=</span><span class="s1">&#39;ffill&#39;</span><span class="p">)</span>
<span class="n">Ses_2</span>
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<pre>5      rojo
6      rojo
7      rojo
8      rojo
9      rojo
10     rojo
11     azul
12     azul
13     azul
14     azul
15     azul
16     azul
17     azul
18    verde
19    verde
20    verde
21    verde
22    verde
23    verde
24    verde
dtype: object</pre>
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<p>Como los <em>dataframes</em> utilizan los objetos de tipo <em>index</em> tanto en el índice de los renglones como en las columnas, por lo que se puede utilizar la función en ambos casos.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_1</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Poblacion</th>
      <th>Poblacion_60_a</th>
      <th>Poblacion_0_4</th>
      <th>Poblacion_5_9</th>
      <th>Poblacion_10_14</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>Baja California</td>
      <td>2844469</td>
      <td>164888</td>
      <td>267954</td>
      <td>277635</td>
      <td>267938</td>
    </tr>
    <tr>
      <td>Ciudad de Mexico</td>
      <td>8720916</td>
      <td>859438</td>
      <td>664092</td>
      <td>671579</td>
      <td>704950</td>
    </tr>
    <tr>
      <td>Hidalgo</td>
      <td>2345514</td>
      <td>204325</td>
      <td>237423</td>
      <td>243185</td>
      <td>270650</td>
    </tr>
    <tr>
      <td>Morelos</td>
      <td>1612899</td>
      <td>143942</td>
      <td>150281</td>
      <td>157253</td>
      <td>168541</td>
    </tr>
    <tr>
      <td>Nayarit</td>
      <td>949684</td>
      <td>9061</td>
      <td>92384</td>
      <td>96834</td>
      <td>103122</td>
    </tr>
  </tbody>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_1</span><span class="o">.</span><span class="n">reindex</span><span class="p">([</span><span class="s1">&#39;Baja California&#39;</span><span class="p">,</span> <span class="s1">&#39;Ciudad de Mexico&#39;</span><span class="p">,</span> <span class="s1">&#39;Yucatan&#39;</span><span class="p">,</span> <span class="s1">&#39;Hidalgo&#39;</span><span class="p">,</span><span class="s1">&#39;Nayarit&#39;</span><span class="p">])</span>
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        vertical-align: middle;
    }

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        vertical-align: top;
    }

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        text-align: right;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Poblacion</th>
      <th>Poblacion_60_a</th>
      <th>Poblacion_0_4</th>
      <th>Poblacion_5_9</th>
      <th>Poblacion_10_14</th>
    </tr>
  </thead>
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    <tr>
      <td>Baja California</td>
      <td>2844469.0</td>
      <td>164888.0</td>
      <td>267954.0</td>
      <td>277635.0</td>
      <td>267938.0</td>
    </tr>
    <tr>
      <td>Ciudad de Mexico</td>
      <td>8720916.0</td>
      <td>859438.0</td>
      <td>664092.0</td>
      <td>671579.0</td>
      <td>704950.0</td>
    </tr>
    <tr>
      <td>Yucatan</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <td>Hidalgo</td>
      <td>2345514.0</td>
      <td>204325.0</td>
      <td>237423.0</td>
      <td>243185.0</td>
      <td>270650.0</td>
    </tr>
    <tr>
      <td>Nayarit</td>
      <td>949684.0</td>
      <td>9061.0</td>
      <td>92384.0</td>
      <td>96834.0</td>
      <td>103122.0</td>
    </tr>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_1</span><span class="o">.</span><span class="n">reindex</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Poblacion_0_4&#39;</span><span class="p">,</span> <span class="s1">&#39;Poblacion_5_9&#39;</span><span class="p">,</span> <span class="s1">&#39;Poblacion_10_14&#39;</span><span class="p">,</span> <span class="s1">&#39;Poblacion_15_19&#39;</span><span class="p">])</span>
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<table border="1" class="dataframe">
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    <tr style="text-align: right;">
      <th></th>
      <th>Poblacion_0_4</th>
      <th>Poblacion_5_9</th>
      <th>Poblacion_10_14</th>
      <th>Poblacion_15_19</th>
    </tr>
  </thead>
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    <tr>
      <td>Baja California</td>
      <td>267954</td>
      <td>277635</td>
      <td>267938</td>
      <td>NaN</td>
    </tr>
    <tr>
      <td>Ciudad de Mexico</td>
      <td>664092</td>
      <td>671579</td>
      <td>704950</td>
      <td>NaN</td>
    </tr>
    <tr>
      <td>Hidalgo</td>
      <td>237423</td>
      <td>243185</td>
      <td>270650</td>
      <td>NaN</td>
    </tr>
    <tr>
      <td>Morelos</td>
      <td>150281</td>
      <td>157253</td>
      <td>168541</td>
      <td>NaN</td>
    </tr>
    <tr>
      <td>Nayarit</td>
      <td>92384</td>
      <td>96834</td>
      <td>103122</td>
      <td>NaN</td>
    </tr>
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<p>Aunque se tiene el método <code>reindex</code> la forma que más comunmente se utiliza es a través del método <code>loc</code></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_1</span><span class="o">.</span><span class="n">loc</span><span class="p">[[</span><span class="s1">&#39;Baja California&#39;</span><span class="p">,</span> <span class="s1">&#39;Ciudad de Mexico&#39;</span><span class="p">,</span> <span class="s1">&#39;Hidalgo&#39;</span><span class="p">,</span><span class="s1">&#39;Nayarit&#39;</span><span class="p">],</span> <span class="p">[</span><span class="s1">&#39;Poblacion_0_4&#39;</span><span class="p">,</span> <span class="s1">&#39;Poblacion_5_9&#39;</span><span class="p">,</span> <span class="s1">&#39;Poblacion_10_14&#39;</span><span class="p">]]</span>
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    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

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        vertical-align: top;
    }

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        text-align: right;
    }
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<table border="1" class="dataframe">
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    <tr style="text-align: right;">
      <th></th>
      <th>Poblacion_0_4</th>
      <th>Poblacion_5_9</th>
      <th>Poblacion_10_14</th>
    </tr>
  </thead>
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    <tr>
      <td>Baja California</td>
      <td>267954</td>
      <td>277635</td>
      <td>267938</td>
    </tr>
    <tr>
      <td>Ciudad de Mexico</td>
      <td>664092</td>
      <td>671579</td>
      <td>704950</td>
    </tr>
    <tr>
      <td>Hidalgo</td>
      <td>237423</td>
      <td>243185</td>
      <td>270650</td>
    </tr>
    <tr>
      <td>Nayarit</td>
      <td>92384</td>
      <td>96834</td>
      <td>103122</td>
    </tr>
  </tbody>
</table>
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<p>El método <code>loc</code> nos permite tener acceso a los datos asociados a los índices que se deseen (renglones o columnas) usadno <code>[]</code> para tal propósito, esta forma es de acuerdo al método para acceder a los elementos en una matiz de <em>Numpy</em>. Al utilizar listas de índices el método regresa un <em>dataframe</em>, si lo que se desea es tener acceso a un valor específico dentro del <em>dataframe</em> se utiliza la pareja índice-columna dentro de los <code>[]</code>.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_1</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">&#39;Nayarit&#39;</span><span class="p">,</span><span class="s1">&#39;Poblacion&#39;</span><span class="p">]</span>
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<pre>949684</pre>
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<p>Otro método para seleccionar elementos de forma especifica es a través de <code>iloc</code>, el cual utiliza los índices enteros en lugar de los índices definidos por el usuario, esta forma de acceso nos permite usar las notaciones clásicas de Python para tomar intervalos especificos.</p>
<p>Por defecto sí se pasa sólo un entero toma como al entero dentro de los índices de los renglones</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_1</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="mi">4</span><span class="p">,</span><span class="mi">2</span><span class="p">:</span><span class="mi">5</span><span class="p">]</span>
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    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
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    <tr style="text-align: right;">
      <th></th>
      <th>Poblacion_0_4</th>
      <th>Poblacion_5_9</th>
      <th>Poblacion_10_14</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>Hidalgo</td>
      <td>237423</td>
      <td>243185</td>
      <td>270650</td>
    </tr>
    <tr>
      <td>Morelos</td>
      <td>150281</td>
      <td>157253</td>
      <td>168541</td>
    </tr>
  </tbody>
</table>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_1</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">4</span><span class="p">]</span>
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<pre>Poblacion          949684
Poblacion_60_a       9061
Poblacion_0_4       92384
Poblacion_5_9       96834
Poblacion_10_14    103122
Name: Nayarit, dtype: int64</pre>
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<h2 id="Eliminar">Eliminar<a class="anchor-link" href="#Eliminar">&#182;</a></h2><p>Para eliminar renglones se puede hacer utilizando el método <code>drop</code>, recordemos que la mayoría de los metodos no modifica el objeto original como es el caso de este método, si se desea modificar el objeto original es necesario pasar como argumento <code>inplace=True</code>.</p>
<p>Por defecto <code>drop</code> elimina los índices en los renglones del <em>dataframe</em> para eliminar elementos en las columnas es necesario pasar como argumento <code>axis=1</code> el valor que toma por defecto es 0.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_1</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s1">&#39;Nayarit&#39;</span><span class="p">,</span> <span class="s1">&#39;Ciudad de Mexico&#39;</span><span class="p">])</span>
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<table border="1" class="dataframe">
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      <th></th>
      <th>Poblacion</th>
      <th>Poblacion_60_a</th>
      <th>Poblacion_0_4</th>
      <th>Poblacion_5_9</th>
      <th>Poblacion_10_14</th>
    </tr>
  </thead>
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    <tr>
      <td>Baja California</td>
      <td>2844469</td>
      <td>164888</td>
      <td>267954</td>
      <td>277635</td>
      <td>267938</td>
    </tr>
    <tr>
      <td>Hidalgo</td>
      <td>2345514</td>
      <td>204325</td>
      <td>237423</td>
      <td>243185</td>
      <td>270650</td>
    </tr>
    <tr>
      <td>Morelos</td>
      <td>1612899</td>
      <td>143942</td>
      <td>150281</td>
      <td>157253</td>
      <td>168541</td>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_1</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s1">&#39;Nayarit&#39;</span><span class="p">)</span>
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      <th></th>
      <th>Poblacion</th>
      <th>Poblacion_60_a</th>
      <th>Poblacion_0_4</th>
      <th>Poblacion_5_9</th>
      <th>Poblacion_10_14</th>
    </tr>
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      <td>Baja California</td>
      <td>2844469</td>
      <td>164888</td>
      <td>267954</td>
      <td>277635</td>
      <td>267938</td>
    </tr>
    <tr>
      <td>Ciudad de Mexico</td>
      <td>8720916</td>
      <td>859438</td>
      <td>664092</td>
      <td>671579</td>
      <td>704950</td>
    </tr>
    <tr>
      <td>Hidalgo</td>
      <td>2345514</td>
      <td>204325</td>
      <td>237423</td>
      <td>243185</td>
      <td>270650</td>
    </tr>
    <tr>
      <td>Morelos</td>
      <td>1612899</td>
      <td>143942</td>
      <td>150281</td>
      <td>157253</td>
      <td>168541</td>
    </tr>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_1</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s1">&#39;Poblacion&#39;</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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      <th></th>
      <th>Poblacion_60_a</th>
      <th>Poblacion_0_4</th>
      <th>Poblacion_5_9</th>
      <th>Poblacion_10_14</th>
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    <tr>
      <td>Baja California</td>
      <td>164888</td>
      <td>267954</td>
      <td>277635</td>
      <td>267938</td>
    </tr>
    <tr>
      <td>Ciudad de Mexico</td>
      <td>859438</td>
      <td>664092</td>
      <td>671579</td>
      <td>704950</td>
    </tr>
    <tr>
      <td>Hidalgo</td>
      <td>204325</td>
      <td>237423</td>
      <td>243185</td>
      <td>270650</td>
    </tr>
    <tr>
      <td>Morelos</td>
      <td>143942</td>
      <td>150281</td>
      <td>157253</td>
      <td>168541</td>
    </tr>
    <tr>
      <td>Nayarit</td>
      <td>9061</td>
      <td>92384</td>
      <td>96834</td>
      <td>103122</td>
    </tr>
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<h2 id="Inspeccionar,-Seleccionar-y-Filtrar.">Inspeccionar, Seleccionar y Filtrar.<a class="anchor-link" href="#Inspeccionar,-Seleccionar-y-Filtrar.">&#182;</a></h2><p>Dos métodos que nos serán de gran utilidad para inspeccionar tanto las <em>series</em> como los <em>dataframes</em> son <code>head</code> y <code>tail</code>. <code>head</code> nos muestran los primeros cinco elementos de la <em>serie</em> o los cinco primeros renglones del <em>dataframe</em>, mientras que <code>tail</code> los últimos cinco elementos o renglones según sea el caso. Si se desea ver más elementos se puede pasar un entero $n$ positivo para mostrar los primeros o últimos elementos segun sea el caso.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="mi">15</span><span class="p">)</span>
<span class="n">df_5</span><span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span><span class="mi">15</span><span class="p">))</span>
<span class="n">df_5</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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      <th></th>
      <th>0</th>
      <th>1</th>
      <th>2</th>
      <th>3</th>
      <th>4</th>
      <th>5</th>
      <th>6</th>
      <th>7</th>
      <th>8</th>
      <th>9</th>
      <th>10</th>
      <th>11</th>
      <th>12</th>
      <th>13</th>
      <th>14</th>
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    <tr>
      <td>0</td>
      <td>0.848818</td>
      <td>0.178896</td>
      <td>0.054363</td>
      <td>0.361538</td>
      <td>0.275401</td>
      <td>0.530000</td>
      <td>0.305919</td>
      <td>0.304474</td>
      <td>0.111741</td>
      <td>0.249899</td>
      <td>0.917630</td>
      <td>0.264147</td>
      <td>0.717774</td>
      <td>0.865715</td>
      <td>0.807079</td>
    </tr>
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      <td>1</td>
      <td>0.210551</td>
      <td>0.167243</td>
      <td>0.046706</td>
      <td>0.039422</td>
      <td>0.200231</td>
      <td>0.998543</td>
      <td>0.372787</td>
      <td>0.760510</td>
      <td>0.473474</td>
      <td>0.509715</td>
      <td>0.945038</td>
      <td>0.109447</td>
      <td>0.465093</td>
      <td>0.141555</td>
      <td>0.538349</td>
    </tr>
    <tr>
      <td>2</td>
      <td>0.298999</td>
      <td>0.537745</td>
      <td>0.665628</td>
      <td>0.364329</td>
      <td>0.623019</td>
      <td>0.642725</td>
      <td>0.419982</td>
      <td>0.403242</td>
      <td>0.390420</td>
      <td>0.406190</td>
      <td>0.079666</td>
      <td>0.056831</td>
      <td>0.078331</td>
      <td>0.695678</td>
      <td>0.029159</td>
    </tr>
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      <td>3</td>
      <td>0.499492</td>
      <td>0.132634</td>
      <td>0.030756</td>
      <td>0.639489</td>
      <td>0.445998</td>
      <td>0.974607</td>
      <td>0.329766</td>
      <td>0.195425</td>
      <td>0.684046</td>
      <td>0.351099</td>
      <td>0.771036</td>
      <td>0.791800</td>
      <td>0.443875</td>
      <td>0.268828</td>
      <td>0.023904</td>
    </tr>
    <tr>
      <td>4</td>
      <td>0.371333</td>
      <td>0.097731</td>
      <td>0.727523</td>
      <td>0.459444</td>
      <td>0.520496</td>
      <td>0.684569</td>
      <td>0.425290</td>
      <td>0.603473</td>
      <td>0.823849</td>
      <td>0.451871</td>
      <td>0.887945</td>
      <td>0.220400</td>
      <td>0.106823</td>
      <td>0.012010</td>
      <td>0.917941</td>
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<p>Nos interesa hacer un manejo de los datos utilizando las <em>series</em> y los <em>dataframes</em>, una posibilidad es usando el método <code>reindex</code> visto anteriormente, sin embargo para nuestra facilidad los creadores de <em>Pandas</em> nos permiten seleccionar y filtrar los datos utilizando los <code>[]</code> para seleccionar los índices. Por defecto los <code>[]</code> toman como valor índices sobre las columnas, a estos podemos pasar una o una lista de columnas. En el primer caso el objeto que se regresa es una serie, mientras que si pasamos una lista entonces lo que se regresa es un <em>dataframe</em>.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_1</span><span class="p">[</span><span class="s1">&#39;Poblacion_10_14&#39;</span><span class="p">]</span>
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<pre>Baja California     267938
Ciudad de Mexico    704950
Hidalgo             270650
Morelos             168541
Nayarit             103122
Name: Poblacion_10_14, dtype: int64</pre>
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<pre>pandas.core.series.Series</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_1</span><span class="p">[[</span><span class="s1">&#39;Poblacion_10_14&#39;</span><span class="p">]]</span>
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      <th></th>
      <th>Poblacion_10_14</th>
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    <tr>
      <td>Baja California</td>
      <td>267938</td>
    </tr>
    <tr>
      <td>Ciudad de Mexico</td>
      <td>704950</td>
    </tr>
    <tr>
      <td>Hidalgo</td>
      <td>270650</td>
    </tr>
    <tr>
      <td>Morelos</td>
      <td>168541</td>
    </tr>
    <tr>
      <td>Nayarit</td>
      <td>103122</td>
    </tr>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">type</span><span class="p">(</span><span class="n">df_1</span><span class="p">[[</span><span class="s1">&#39;Poblacion_10_14&#39;</span><span class="p">]])</span>
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<pre>pandas.core.frame.DataFrame</pre>
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<p>Es posible definir intervalos en los índices en los renglones</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_1</span><span class="p">[</span><span class="s1">&#39;Ciudad de Mexico&#39;</span><span class="p">:</span><span class="s1">&#39;Morelos&#39;</span><span class="p">]</span>
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<table border="1" class="dataframe">
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    <tr style="text-align: right;">
      <th></th>
      <th>Poblacion</th>
      <th>Poblacion_60_a</th>
      <th>Poblacion_0_4</th>
      <th>Poblacion_5_9</th>
      <th>Poblacion_10_14</th>
    </tr>
  </thead>
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    <tr>
      <td>Ciudad de Mexico</td>
      <td>8720916</td>
      <td>859438</td>
      <td>664092</td>
      <td>671579</td>
      <td>704950</td>
    </tr>
    <tr>
      <td>Hidalgo</td>
      <td>2345514</td>
      <td>204325</td>
      <td>237423</td>
      <td>243185</td>
      <td>270650</td>
    </tr>
    <tr>
      <td>Morelos</td>
      <td>1612899</td>
      <td>143942</td>
      <td>150281</td>
      <td>157253</td>
      <td>168541</td>
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<p>En el caso de las columnas es necesario tomar una lista y pasar como argumento</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_5</span><span class="p">[[</span><span class="mi">4</span><span class="p">,</span><span class="mi">6</span><span class="p">,</span><span class="mi">8</span><span class="p">,</span><span class="mi">10</span><span class="p">,</span><span class="mi">12</span><span class="p">]]</span>
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>4</th>
      <th>6</th>
      <th>8</th>
      <th>10</th>
      <th>12</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>0</td>
      <td>0.275401</td>
      <td>0.305919</td>
      <td>0.111741</td>
      <td>0.917630</td>
      <td>0.717774</td>
    </tr>
    <tr>
      <td>1</td>
      <td>0.200231</td>
      <td>0.372787</td>
      <td>0.473474</td>
      <td>0.945038</td>
      <td>0.465093</td>
    </tr>
    <tr>
      <td>2</td>
      <td>0.623019</td>
      <td>0.419982</td>
      <td>0.390420</td>
      <td>0.079666</td>
      <td>0.078331</td>
    </tr>
    <tr>
      <td>3</td>
      <td>0.445998</td>
      <td>0.329766</td>
      <td>0.684046</td>
      <td>0.771036</td>
      <td>0.443875</td>
    </tr>
    <tr>
      <td>4</td>
      <td>0.520496</td>
      <td>0.425290</td>
      <td>0.823849</td>
      <td>0.887945</td>
      <td>0.106823</td>
    </tr>
    <tr>
      <td>5</td>
      <td>0.875666</td>
      <td>0.303654</td>
      <td>0.569105</td>
      <td>0.330015</td>
      <td>0.515675</td>
    </tr>
    <tr>
      <td>6</td>
      <td>0.573752</td>
      <td>0.200720</td>
      <td>0.932277</td>
      <td>0.015004</td>
      <td>0.615400</td>
    </tr>
    <tr>
      <td>7</td>
      <td>0.546339</td>
      <td>0.774770</td>
      <td>0.517394</td>
      <td>0.762913</td>
      <td>0.123988</td>
    </tr>
    <tr>
      <td>8</td>
      <td>0.683021</td>
      <td>0.434022</td>
      <td>0.215403</td>
      <td>0.369989</td>
      <td>0.859933</td>
    </tr>
    <tr>
      <td>9</td>
      <td>0.586269</td>
      <td>0.159536</td>
      <td>0.472342</td>
      <td>0.812014</td>
      <td>0.299919</td>
    </tr>
    <tr>
      <td>10</td>
      <td>0.969743</td>
      <td>0.099291</td>
      <td>0.036127</td>
      <td>0.797385</td>
      <td>0.968505</td>
    </tr>
    <tr>
      <td>11</td>
      <td>0.512657</td>
      <td>0.101643</td>
      <td>0.966612</td>
      <td>0.435116</td>
      <td>0.047537</td>
    </tr>
    <tr>
      <td>12</td>
      <td>0.452266</td>
      <td>0.817256</td>
      <td>0.262248</td>
      <td>0.167872</td>
      <td>0.484212</td>
    </tr>
    <tr>
      <td>13</td>
      <td>0.922179</td>
      <td>0.540825</td>
      <td>0.733031</td>
      <td>0.896091</td>
      <td>0.841323</td>
    </tr>
    <tr>
      <td>14</td>
      <td>0.623451</td>
      <td>0.908848</td>
      <td>0.703099</td>
      <td>0.264476</td>
      <td>0.026124</td>
    </tr>
  </tbody>
</table>
</div>
</div>

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<p>Se pueden declarar columnas nuevas pasando el nombre de la columna y dando una <em>serie</em>, si se desea que toda la columna tenga un valor se le designa con <code>=</code>. Usando la misma notación es posible cambiar todos los valores de una columna.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_5</span><span class="p">[</span><span class="s1">&#39;entero&#39;</span><span class="p">]</span><span class="o">=</span><span class="mi">1</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_5</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<table border="1" class="dataframe">
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      <th></th>
      <th>0</th>
      <th>1</th>
      <th>2</th>
      <th>3</th>
      <th>4</th>
      <th>5</th>
      <th>6</th>
      <th>7</th>
      <th>8</th>
      <th>9</th>
      <th>10</th>
      <th>11</th>
      <th>12</th>
      <th>13</th>
      <th>14</th>
      <th>entero</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>0</td>
      <td>0.848818</td>
      <td>0.178896</td>
      <td>0.054363</td>
      <td>0.361538</td>
      <td>0.275401</td>
      <td>0.530000</td>
      <td>0.305919</td>
      <td>0.304474</td>
      <td>0.111741</td>
      <td>0.249899</td>
      <td>0.917630</td>
      <td>0.264147</td>
      <td>0.717774</td>
      <td>0.865715</td>
      <td>0.807079</td>
      <td>1</td>
    </tr>
    <tr>
      <td>1</td>
      <td>0.210551</td>
      <td>0.167243</td>
      <td>0.046706</td>
      <td>0.039422</td>
      <td>0.200231</td>
      <td>0.998543</td>
      <td>0.372787</td>
      <td>0.760510</td>
      <td>0.473474</td>
      <td>0.509715</td>
      <td>0.945038</td>
      <td>0.109447</td>
      <td>0.465093</td>
      <td>0.141555</td>
      <td>0.538349</td>
      <td>1</td>
    </tr>
    <tr>
      <td>2</td>
      <td>0.298999</td>
      <td>0.537745</td>
      <td>0.665628</td>
      <td>0.364329</td>
      <td>0.623019</td>
      <td>0.642725</td>
      <td>0.419982</td>
      <td>0.403242</td>
      <td>0.390420</td>
      <td>0.406190</td>
      <td>0.079666</td>
      <td>0.056831</td>
      <td>0.078331</td>
      <td>0.695678</td>
      <td>0.029159</td>
      <td>1</td>
    </tr>
    <tr>
      <td>3</td>
      <td>0.499492</td>
      <td>0.132634</td>
      <td>0.030756</td>
      <td>0.639489</td>
      <td>0.445998</td>
      <td>0.974607</td>
      <td>0.329766</td>
      <td>0.195425</td>
      <td>0.684046</td>
      <td>0.351099</td>
      <td>0.771036</td>
      <td>0.791800</td>
      <td>0.443875</td>
      <td>0.268828</td>
      <td>0.023904</td>
      <td>1</td>
    </tr>
    <tr>
      <td>4</td>
      <td>0.371333</td>
      <td>0.097731</td>
      <td>0.727523</td>
      <td>0.459444</td>
      <td>0.520496</td>
      <td>0.684569</td>
      <td>0.425290</td>
      <td>0.603473</td>
      <td>0.823849</td>
      <td>0.451871</td>
      <td>0.887945</td>
      <td>0.220400</td>
      <td>0.106823</td>
      <td>0.012010</td>
      <td>0.917941</td>
      <td>1</td>
    </tr>
  </tbody>
</table>
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</div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_5</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">=</span><span class="mi">2</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_5</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
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    <tr style="text-align: right;">
      <th></th>
      <th>0</th>
      <th>1</th>
      <th>2</th>
      <th>3</th>
      <th>4</th>
      <th>5</th>
      <th>6</th>
      <th>7</th>
      <th>8</th>
      <th>9</th>
      <th>10</th>
      <th>11</th>
      <th>12</th>
      <th>13</th>
      <th>14</th>
      <th>entero</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>0</td>
      <td>2</td>
      <td>0.178896</td>
      <td>0.054363</td>
      <td>0.361538</td>
      <td>0.275401</td>
      <td>0.530000</td>
      <td>0.305919</td>
      <td>0.304474</td>
      <td>0.111741</td>
      <td>0.249899</td>
      <td>0.917630</td>
      <td>0.264147</td>
      <td>0.717774</td>
      <td>0.865715</td>
      <td>0.807079</td>
      <td>1</td>
    </tr>
    <tr>
      <td>1</td>
      <td>2</td>
      <td>0.167243</td>
      <td>0.046706</td>
      <td>0.039422</td>
      <td>0.200231</td>
      <td>0.998543</td>
      <td>0.372787</td>
      <td>0.760510</td>
      <td>0.473474</td>
      <td>0.509715</td>
      <td>0.945038</td>
      <td>0.109447</td>
      <td>0.465093</td>
      <td>0.141555</td>
      <td>0.538349</td>
      <td>1</td>
    </tr>
    <tr>
      <td>2</td>
      <td>2</td>
      <td>0.537745</td>
      <td>0.665628</td>
      <td>0.364329</td>
      <td>0.623019</td>
      <td>0.642725</td>
      <td>0.419982</td>
      <td>0.403242</td>
      <td>0.390420</td>
      <td>0.406190</td>
      <td>0.079666</td>
      <td>0.056831</td>
      <td>0.078331</td>
      <td>0.695678</td>
      <td>0.029159</td>
      <td>1</td>
    </tr>
    <tr>
      <td>3</td>
      <td>2</td>
      <td>0.132634</td>
      <td>0.030756</td>
      <td>0.639489</td>
      <td>0.445998</td>
      <td>0.974607</td>
      <td>0.329766</td>
      <td>0.195425</td>
      <td>0.684046</td>
      <td>0.351099</td>
      <td>0.771036</td>
      <td>0.791800</td>
      <td>0.443875</td>
      <td>0.268828</td>
      <td>0.023904</td>
      <td>1</td>
    </tr>
    <tr>
      <td>4</td>
      <td>2</td>
      <td>0.097731</td>
      <td>0.727523</td>
      <td>0.459444</td>
      <td>0.520496</td>
      <td>0.684569</td>
      <td>0.425290</td>
      <td>0.603473</td>
      <td>0.823849</td>
      <td>0.451871</td>
      <td>0.887945</td>
      <td>0.220400</td>
      <td>0.106823</td>
      <td>0.012010</td>
      <td>0.917941</td>
      <td>1</td>
    </tr>
    <tr>
      <td>5</td>
      <td>2</td>
      <td>0.219762</td>
      <td>0.547552</td>
      <td>0.920800</td>
      <td>0.875666</td>
      <td>0.127592</td>
      <td>0.303654</td>
      <td>0.295297</td>
      <td>0.569105</td>
      <td>0.743420</td>
      <td>0.330015</td>
      <td>0.607852</td>
      <td>0.515675</td>
      <td>0.919801</td>
      <td>0.201367</td>
      <td>1</td>
    </tr>
    <tr>
      <td>6</td>
      <td>2</td>
      <td>0.071733</td>
      <td>0.420494</td>
      <td>0.498917</td>
      <td>0.573752</td>
      <td>0.880373</td>
      <td>0.200720</td>
      <td>0.421178</td>
      <td>0.932277</td>
      <td>0.363291</td>
      <td>0.015004</td>
      <td>0.899727</td>
      <td>0.615400</td>
      <td>0.970942</td>
      <td>0.621620</td>
      <td>1</td>
    </tr>
    <tr>
      <td>7</td>
      <td>2</td>
      <td>0.599040</td>
      <td>0.139279</td>
      <td>0.678375</td>
      <td>0.546339</td>
      <td>0.009044</td>
      <td>0.774770</td>
      <td>0.121425</td>
      <td>0.517394</td>
      <td>0.665752</td>
      <td>0.762913</td>
      <td>0.940879</td>
      <td>0.123988</td>
      <td>0.209996</td>
      <td>0.365368</td>
      <td>1</td>
    </tr>
    <tr>
      <td>8</td>
      <td>2</td>
      <td>0.590005</td>
      <td>0.993915</td>
      <td>0.611509</td>
      <td>0.683021</td>
      <td>0.096211</td>
      <td>0.434022</td>
      <td>0.129159</td>
      <td>0.215403</td>
      <td>0.850066</td>
      <td>0.369989</td>
      <td>0.228212</td>
      <td>0.859933</td>
      <td>0.465751</td>
      <td>0.678117</td>
      <td>1</td>
    </tr>
    <tr>
      <td>9</td>
      <td>2</td>
      <td>0.716434</td>
      <td>0.365020</td>
      <td>0.551522</td>
      <td>0.586269</td>
      <td>0.115388</td>
      <td>0.159536</td>
      <td>0.745438</td>
      <td>0.472342</td>
      <td>0.630203</td>
      <td>0.812014</td>
      <td>0.066001</td>
      <td>0.299919</td>
      <td>0.623582</td>
      <td>0.493188</td>
      <td>1</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

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<p>Una de las herramientas más poderosas de <em>pandas</em> es poder hacer un filtrado de los datos a partir de comparaciones lógicas, las cuales nos regresan vectores booleanos.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_5</span><span class="p">[</span><span class="n">df_5</span><span class="o">&gt;.</span><span class="mi">5</span><span class="p">]</span>
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    }

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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>0</th>
      <th>1</th>
      <th>2</th>
      <th>3</th>
      <th>4</th>
      <th>5</th>
      <th>6</th>
      <th>7</th>
      <th>8</th>
      <th>9</th>
      <th>10</th>
      <th>11</th>
      <th>12</th>
      <th>13</th>
      <th>14</th>
      <th>entero</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>0</td>
      <td>2</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.530000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.917630</td>
      <td>NaN</td>
      <td>0.717774</td>
      <td>0.865715</td>
      <td>0.807079</td>
      <td>1</td>
    </tr>
    <tr>
      <td>1</td>
      <td>2</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.998543</td>
      <td>NaN</td>
      <td>0.760510</td>
      <td>NaN</td>
      <td>0.509715</td>
      <td>0.945038</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.538349</td>
      <td>1</td>
    </tr>
    <tr>
      <td>2</td>
      <td>2</td>
      <td>0.537745</td>
      <td>0.665628</td>
      <td>NaN</td>
      <td>0.623019</td>
      <td>0.642725</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.695678</td>
      <td>NaN</td>
      <td>1</td>
    </tr>
    <tr>
      <td>3</td>
      <td>2</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.639489</td>
      <td>NaN</td>
      <td>0.974607</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.684046</td>
      <td>NaN</td>
      <td>0.771036</td>
      <td>0.791800</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>1</td>
    </tr>
    <tr>
      <td>4</td>
      <td>2</td>
      <td>NaN</td>
      <td>0.727523</td>
      <td>NaN</td>
      <td>0.520496</td>
      <td>0.684569</td>
      <td>NaN</td>
      <td>0.603473</td>
      <td>0.823849</td>
      <td>NaN</td>
      <td>0.887945</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.917941</td>
      <td>1</td>
    </tr>
    <tr>
      <td>5</td>
      <td>2</td>
      <td>NaN</td>
      <td>0.547552</td>
      <td>0.920800</td>
      <td>0.875666</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.569105</td>
      <td>0.743420</td>
      <td>NaN</td>
      <td>0.607852</td>
      <td>0.515675</td>
      <td>0.919801</td>
      <td>NaN</td>
      <td>1</td>
    </tr>
    <tr>
      <td>6</td>
      <td>2</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.573752</td>
      <td>0.880373</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.932277</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.899727</td>
      <td>0.615400</td>
      <td>0.970942</td>
      <td>0.621620</td>
      <td>1</td>
    </tr>
    <tr>
      <td>7</td>
      <td>2</td>
      <td>0.599040</td>
      <td>NaN</td>
      <td>0.678375</td>
      <td>0.546339</td>
      <td>NaN</td>
      <td>0.774770</td>
      <td>NaN</td>
      <td>0.517394</td>
      <td>0.665752</td>
      <td>0.762913</td>
      <td>0.940879</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>1</td>
    </tr>
    <tr>
      <td>8</td>
      <td>2</td>
      <td>0.590005</td>
      <td>0.993915</td>
      <td>0.611509</td>
      <td>0.683021</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.850066</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.859933</td>
      <td>NaN</td>
      <td>0.678117</td>
      <td>1</td>
    </tr>
    <tr>
      <td>9</td>
      <td>2</td>
      <td>0.716434</td>
      <td>NaN</td>
      <td>0.551522</td>
      <td>0.586269</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.745438</td>
      <td>NaN</td>
      <td>0.630203</td>
      <td>0.812014</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.623582</td>
      <td>NaN</td>
      <td>1</td>
    </tr>
    <tr>
      <td>10</td>
      <td>2</td>
      <td>0.838790</td>
      <td>0.761277</td>
      <td>NaN</td>
      <td>0.969743</td>
      <td>0.863809</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.586841</td>
      <td>0.797385</td>
      <td>0.969131</td>
      <td>0.968505</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>1</td>
    </tr>
    <tr>
      <td>11</td>
      <td>2</td>
      <td>0.744514</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.512657</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.966612</td>
      <td>0.821847</td>
      <td>NaN</td>
      <td>0.827812</td>
      <td>NaN</td>
      <td>0.769853</td>
      <td>0.965602</td>
      <td>1</td>
    </tr>
    <tr>
      <td>12</td>
      <td>2</td>
      <td>0.590896</td>
      <td>0.748336</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.817256</td>
      <td>0.950861</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.717554</td>
      <td>1</td>
    </tr>
    <tr>
      <td>13</td>
      <td>2</td>
      <td>NaN</td>
      <td>0.603048</td>
      <td>NaN</td>
      <td>0.922179</td>
      <td>0.769198</td>
      <td>0.540825</td>
      <td>NaN</td>
      <td>0.733031</td>
      <td>NaN</td>
      <td>0.896091</td>
      <td>NaN</td>
      <td>0.841323</td>
      <td>NaN</td>
      <td>0.884604</td>
      <td>1</td>
    </tr>
    <tr>
      <td>14</td>
      <td>2</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.623451</td>
      <td>NaN</td>
      <td>0.908848</td>
      <td>0.554992</td>
      <td>0.703099</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.709028</td>
      <td>NaN</td>
      <td>1</td>
    </tr>
  </tbody>
</table>
</div>
</div>

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<p>Si nos interesa una columna en particular y sólo tomar elementos que cumplan con una condición dada se hace de forma similar.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_5</span><span class="p">[</span><span class="n">df_5</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">&gt;</span><span class="mf">0.5</span><span class="p">]</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>0</th>
      <th>1</th>
      <th>2</th>
      <th>3</th>
      <th>4</th>
      <th>5</th>
      <th>6</th>
      <th>7</th>
      <th>8</th>
      <th>9</th>
      <th>10</th>
      <th>11</th>
      <th>12</th>
      <th>13</th>
      <th>14</th>
      <th>entero</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>2</td>
      <td>2</td>
      <td>0.537745</td>
      <td>0.665628</td>
      <td>0.364329</td>
      <td>0.623019</td>
      <td>0.642725</td>
      <td>0.419982</td>
      <td>0.403242</td>
      <td>0.390420</td>
      <td>0.406190</td>
      <td>0.079666</td>
      <td>0.056831</td>
      <td>0.078331</td>
      <td>0.695678</td>
      <td>0.029159</td>
      <td>1</td>
    </tr>
    <tr>
      <td>7</td>
      <td>2</td>
      <td>0.599040</td>
      <td>0.139279</td>
      <td>0.678375</td>
      <td>0.546339</td>
      <td>0.009044</td>
      <td>0.774770</td>
      <td>0.121425</td>
      <td>0.517394</td>
      <td>0.665752</td>
      <td>0.762913</td>
      <td>0.940879</td>
      <td>0.123988</td>
      <td>0.209996</td>
      <td>0.365368</td>
      <td>1</td>
    </tr>
    <tr>
      <td>8</td>
      <td>2</td>
      <td>0.590005</td>
      <td>0.993915</td>
      <td>0.611509</td>
      <td>0.683021</td>
      <td>0.096211</td>
      <td>0.434022</td>
      <td>0.129159</td>
      <td>0.215403</td>
      <td>0.850066</td>
      <td>0.369989</td>
      <td>0.228212</td>
      <td>0.859933</td>
      <td>0.465751</td>
      <td>0.678117</td>
      <td>1</td>
    </tr>
    <tr>
      <td>9</td>
      <td>2</td>
      <td>0.716434</td>
      <td>0.365020</td>
      <td>0.551522</td>
      <td>0.586269</td>
      <td>0.115388</td>
      <td>0.159536</td>
      <td>0.745438</td>
      <td>0.472342</td>
      <td>0.630203</td>
      <td>0.812014</td>
      <td>0.066001</td>
      <td>0.299919</td>
      <td>0.623582</td>
      <td>0.493188</td>
      <td>1</td>
    </tr>
    <tr>
      <td>10</td>
      <td>2</td>
      <td>0.838790</td>
      <td>0.761277</td>
      <td>0.121492</td>
      <td>0.969743</td>
      <td>0.863809</td>
      <td>0.099291</td>
      <td>0.342655</td>
      <td>0.036127</td>
      <td>0.586841</td>
      <td>0.797385</td>
      <td>0.969131</td>
      <td>0.968505</td>
      <td>0.079030</td>
      <td>0.184743</td>
      <td>1</td>
    </tr>
    <tr>
      <td>11</td>
      <td>2</td>
      <td>0.744514</td>
      <td>0.167016</td>
      <td>0.438509</td>
      <td>0.512657</td>
      <td>0.217382</td>
      <td>0.101643</td>
      <td>0.248965</td>
      <td>0.966612</td>
      <td>0.821847</td>
      <td>0.435116</td>
      <td>0.827812</td>
      <td>0.047537</td>
      <td>0.769853</td>
      <td>0.965602</td>
      <td>1</td>
    </tr>
    <tr>
      <td>12</td>
      <td>2</td>
      <td>0.590896</td>
      <td>0.748336</td>
      <td>0.198431</td>
      <td>0.452266</td>
      <td>0.252769</td>
      <td>0.817256</td>
      <td>0.950861</td>
      <td>0.262248</td>
      <td>0.133244</td>
      <td>0.167872</td>
      <td>0.410399</td>
      <td>0.484212</td>
      <td>0.146091</td>
      <td>0.717554</td>
      <td>1</td>
    </tr>
  </tbody>
</table>
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<p>O podemos hacer condiciones sobre las propias columnas del <em>dataframe</em></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_1</span><span class="p">[</span><span class="n">df_1</span><span class="p">[</span><span class="s1">&#39;Poblacion_10_14&#39;</span><span class="p">]</span><span class="o">&lt;</span> <span class="n">df_1</span><span class="p">[</span><span class="s1">&#39;Poblacion_5_9&#39;</span><span class="p">]]</span>
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<table border="1" class="dataframe">
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      <th></th>
      <th>Poblacion</th>
      <th>Poblacion_60_a</th>
      <th>Poblacion_0_4</th>
      <th>Poblacion_5_9</th>
      <th>Poblacion_10_14</th>
    </tr>
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    <tr>
      <td>Baja California</td>
      <td>2844469</td>
      <td>164888</td>
      <td>267954</td>
      <td>277635</td>
      <td>267938</td>
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<p>Otra forma de uso de para tener acceso a las columnas en los <em>dataframes</em> es usar la notación de una instancia dentro de un objeto, esto se hace a traves de <code>.</code></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_1</span><span class="o">.</span><span class="n">Poblacion</span>
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<pre>Baja California     2844469
Ciudad de Mexico    8720916
Hidalgo             2345514
Morelos             1612899
Nayarit              949684
Name: Poblacion, dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_1</span><span class="p">[</span><span class="n">df_1</span><span class="o">.</span><span class="n">Poblacion</span> <span class="o">&gt;</span> <span class="mi">1000000</span><span class="p">]</span>
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<table border="1" class="dataframe">
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    <tr style="text-align: right;">
      <th></th>
      <th>Poblacion</th>
      <th>Poblacion_60_a</th>
      <th>Poblacion_0_4</th>
      <th>Poblacion_5_9</th>
      <th>Poblacion_10_14</th>
    </tr>
  </thead>
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    <tr>
      <td>Baja California</td>
      <td>2844469</td>
      <td>164888</td>
      <td>267954</td>
      <td>277635</td>
      <td>267938</td>
    </tr>
    <tr>
      <td>Ciudad de Mexico</td>
      <td>8720916</td>
      <td>859438</td>
      <td>664092</td>
      <td>671579</td>
      <td>704950</td>
    </tr>
    <tr>
      <td>Hidalgo</td>
      <td>2345514</td>
      <td>204325</td>
      <td>237423</td>
      <td>243185</td>
      <td>270650</td>
    </tr>
    <tr>
      <td>Morelos</td>
      <td>1612899</td>
      <td>143942</td>
      <td>150281</td>
      <td>157253</td>
      <td>168541</td>
    </tr>
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<p>Estas formas de seleccionar elementos dentro del <em>dataframe</em> se basan en la forma de seleccionar elementos de las matrices de <em>Numpy</em>, los desarrolladores de <em>pandas</em> implementaron los métodos <code>loc</code> y <code>iloc</code> para poder seleccionar los elementos dentro de los <em>dataframes</em> generando así múltiples formas para la selección de elementos. Más adelante en el curso se verán otras formas de selección para los caso con múltiples índices jerárquicos.</p>
<p>En la siguiente tabla resumimos algunas formas para la seleccion de los datos</p>
<table>
<thead><tr>
<th>Tipo de llamado</th>
<th>Descripción</th>
</tr>
</thead>
<tbody>
<tr>
<td><code>df.loc[val]</code></td>
<td>Se selecciona un renglón o un subconjunto de renglones usando el índice</td>
</tr>
<tr>
<td><code>df.loc[:,val]</code></td>
<td>Selecciona una sola columna o un conjunto de columnas</td>
</tr>
<tr>
<td><code>df[val]</code></td>
<td>Se selecciona una columna del <em>dataframe</em>; si <em>val</em> es un arreglo boleano de 1D filtra renglones y si es <em>val</em> <br> es un arreglo 2D se puede usar para designar valores</td>
</tr>
<tr>
<td><code>df.iloc[val]</code></td>
<td>Selecciona la el renglón o un subconjunto de renglones usando la posición con enteros</td>
</tr>
<tr>
<td><code>df.iloc[:,val]</code></td>
<td>Selección de una columna o múltiples columnas usando la posición por enteros</td>
</tr>
<tr>
<td><code>df.iloc[val1,val2]</code></td>
<td>Selección de renglón y columna usando enteros</td>
</tr>
<tr>
<td><code>df.at[val1,val2]</code></td>
<td>Seleccionar un sólo valor usando las etiquedas del índice tanto en renglones como en columnas</td>
</tr>
<tr>
<td><code>df.get(val)</code></td>
<td>Regresa la columna <em>val</em> esta en los índices de las columnas</td>
</tr>
</tbody>
</table>

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<h3 id="Operaciones-aritm&#233;ticas-en-Dataframes">Operaciones aritm&#233;ticas en <em>Dataframes</em><a class="anchor-link" href="#Operaciones-aritm&#233;ticas-en-Dataframes">&#182;</a></h3><p>Como ya vimos es posible hacer operacións aritméticas en las <em>series</em> (sumar, restar, multiplicar por escalares multiplicar elemento a elemento )</p>

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<pre>raul        6.0
maria      10.0
emilio      8.0
alfredo     9.5
ivan        7.5
fabian      7.5
ismael      7.0
dtype: float64</pre>
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<pre>e    10
h     9
i     8
a    25
b     6
d     5
c     4
g     3
f     2
j     1
dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Serie_5</span><span class="o">+</span> <span class="n">Serie_2</span>
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<pre>a         NaN
alfredo   NaN
b         NaN
c         NaN
d         NaN
e         NaN
emilio    NaN
f         NaN
fabian    NaN
g         NaN
h         NaN
i         NaN
ismael    NaN
ivan      NaN
j         NaN
maria     NaN
raul      NaN
dtype: float64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Serie_5</span><span class="o">*</span><span class="n">Serie_2</span>
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<pre>a         NaN
alfredo   NaN
b         NaN
c         NaN
d         NaN
e         NaN
emilio    NaN
f         NaN
fabian    NaN
g         NaN
h         NaN
i         NaN
ismael    NaN
ivan      NaN
j         NaN
maria     NaN
raul      NaN
dtype: float64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Serie_5</span><span class="o">/</span><span class="n">Serie_2</span>
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<pre>a         NaN
alfredo   NaN
b         NaN
c         NaN
d         NaN
e         NaN
emilio    NaN
f         NaN
fabian    NaN
g         NaN
h         NaN
i         NaN
ismael    NaN
ivan      NaN
j         NaN
maria     NaN
raul      NaN
dtype: float64</pre>
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<p>Pero como sabemos cuando los índices no son los mismos entonces por defecto se coloca <code>NaN</code> esto lleva a múltiples problemas si se hacen mas de una operación operaciones. En el caso de los <em>dataframes</em> los índices deben de coincidir tanto en renglones, como en columnas para que las operaciones se lleven acabo.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_6</span><span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span><span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span><span class="mi">5</span><span class="p">)),</span> <span class="n">columns</span><span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="s1">&#39;efghi&#39;</span><span class="p">)</span> <span class="p">,</span> <span class="n">index</span><span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Ale&#39;</span><span class="p">,</span> <span class="s1">&#39;Ivan&#39;</span><span class="p">,</span> <span class="s1">&#39;Mariana&#39;</span><span class="p">,</span> <span class="s1">&#39;Diana&#39;</span><span class="p">,</span> <span class="s1">&#39;Susana&#39;</span><span class="p">,</span> <span class="s1">&#39;Liliana&#39;</span><span class="p">,</span> <span class="s1">&#39;Juan&#39;</span><span class="p">])</span>
<span class="n">df_7</span><span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span><span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span><span class="mi">5</span><span class="p">)),</span> <span class="n">columns</span><span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="s1">&#39;bcdef&#39;</span><span class="p">),</span>  <span class="n">index</span><span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Ale&#39;</span><span class="p">,</span> <span class="s1">&#39;Ivan&#39;</span><span class="p">,</span>  <span class="s1">&#39;Susana&#39;</span><span class="p">,</span> <span class="s1">&#39;Juan&#39;</span><span class="p">,</span> <span class="s1">&#39;Tania&#39;</span><span class="p">,</span> <span class="s1">&#39;Jose&#39;</span><span class="p">,</span> <span class="s1">&#39;Rosa&#39;</span><span class="p">])</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_6</span> <span class="o">+</span> <span class="n">df_7</span>
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      <td>Ale</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>8.0</td>
      <td>12.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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      <td>Diana</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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      <td>Ivan</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>23.0</td>
      <td>9.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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      <td>Jose</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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      <td>Juan</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>18.0</td>
      <td>29.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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      <td>Liliana</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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      <td>Mariana</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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      <td>Rosa</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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      <td>Susana</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>5.0</td>
      <td>27.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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      <td>Tania</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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<p>Es claro que si se continua haciendo operaciones el número de <code>NaN</code> aumente en muchos esenarios esto no es un comportamiento se dese, por tal motivo <em>pandas</em>  ofrece una salida ante esta problemática usando los métodos pre establecidos como<code>add</code> (para la suma) para que en caso de que los índices no se encuentren en en segundo <em>dataframe</em> entonces asignar un valor determiando como $0.0$.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_6</span><span class="o">.</span><span class="n">add</span><span class="p">(</span> <span class="n">df_7</span><span class="p">,</span> <span class="n">fill_value</span> <span class="o">=</span> <span class="mf">0.0</span><span class="p">)</span>
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      <td>Ale</td>
      <td>6.0</td>
      <td>2.0</td>
      <td>14.0</td>
      <td>8.0</td>
      <td>12.0</td>
      <td>19.0</td>
      <td>12.0</td>
      <td>13.0</td>
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      <td>Diana</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>9.0</td>
      <td>17.0</td>
      <td>6.0</td>
      <td>10.0</td>
      <td>15.0</td>
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      <td>Ivan</td>
      <td>15.0</td>
      <td>5.0</td>
      <td>5.0</td>
      <td>23.0</td>
      <td>9.0</td>
      <td>18.0</td>
      <td>3.0</td>
      <td>8.0</td>
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      <td>Jose</td>
      <td>6.0</td>
      <td>7.0</td>
      <td>5.0</td>
      <td>9.0</td>
      <td>11.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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      <td>Juan</td>
      <td>10.0</td>
      <td>14.0</td>
      <td>16.0</td>
      <td>18.0</td>
      <td>29.0</td>
      <td>10.0</td>
      <td>18.0</td>
      <td>14.0</td>
    </tr>
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      <td>Liliana</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>11.0</td>
      <td>13.0</td>
      <td>15.0</td>
      <td>1.0</td>
      <td>11.0</td>
    </tr>
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      <td>Mariana</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>5.0</td>
      <td>3.0</td>
      <td>3.0</td>
      <td>6.0</td>
      <td>16.0</td>
    </tr>
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      <td>Rosa</td>
      <td>14.0</td>
      <td>6.0</td>
      <td>0.0</td>
      <td>3.0</td>
      <td>16.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
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      <td>Susana</td>
      <td>15.0</td>
      <td>15.0</td>
      <td>17.0</td>
      <td>5.0</td>
      <td>27.0</td>
      <td>5.0</td>
      <td>15.0</td>
      <td>4.0</td>
    </tr>
    <tr>
      <td>Tania</td>
      <td>15.0</td>
      <td>16.0</td>
      <td>1.0</td>
      <td>9.0</td>
      <td>8.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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<p>Es claro que no se elimina la problemática en su totalidad, pero nos permite tener un mejor manejo de como hacer las operaciones entre <em>dataframes</em>, en particular el método suma a los valores que se encuentran en los dos <em>dataframes</em>, si sólo se encuentran en un <em>dataframe</em> hace la operación con el <em>fill_value</em>. Como se observa se mantiene el hecho que si el valor no se encuentra dentro de cierta columna, entonces en la suma el valos se mantiene sin un valor específico, esto es importante pues se mantiene la consistencia de los datos.</p>
<p>A continuación mostramos una tabla con los métodos para hacer operaciones aritméticas.</p>
<table>
<thead><tr>
<th>Método</th>
<th>Operación</th>
</tr>
</thead>
<tbody>
<tr>
<td><code>add</code>, <code>radd</code></td>
<td>Suma (+)</td>
</tr>
<tr>
<td><code>sub</code>, <code>rsub</code></td>
<td>Resta (-)</td>
</tr>
<tr>
<td><code>div</code>, <code>rdiv</code></td>
<td>División (/)</td>
</tr>
<tr>
<td><code>floordv</code>,<code>rfloordiv</code></td>
<td>División entera (//)</td>
</tr>
<tr>
<td><code>mul</code>, <code>rmul</code></td>
<td>Multiplicación (*)</td>
</tr>
<tr>
<td><code>pow</code>, <code>rpow</code></td>
<td>Exponente(**)</td>
</tr>
</tbody>
</table>

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<h3 id="Operaciones-entre-Dataframes-y-Series">Operaciones entre <em>Dataframes</em> y <em>Series</em><a class="anchor-link" href="#Operaciones-entre-Dataframes-y-Series">&#182;</a></h3><p><em>Pandas</em> nos permite hacer operaciones entre <em>dataframes</em> y <em>series</em>, es común hacer operaciones como restar un elemento (renglón) a un <em>dataframe</em> generando un <em>dataframe</em>, por tal motivo este tipo de operaciónes estan implementadas</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_7</span><span class="o">-</span><span class="n">df_7</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
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      <th>e</th>
      <th>f</th>
    </tr>
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    <tr>
      <td>Ale</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
    </tr>
    <tr>
      <td>Ivan</td>
      <td>9</td>
      <td>3</td>
      <td>-9</td>
      <td>3</td>
      <td>-4</td>
    </tr>
    <tr>
      <td>Susana</td>
      <td>9</td>
      <td>13</td>
      <td>3</td>
      <td>-2</td>
      <td>5</td>
    </tr>
    <tr>
      <td>Juan</td>
      <td>4</td>
      <td>12</td>
      <td>2</td>
      <td>9</td>
      <td>6</td>
    </tr>
    <tr>
      <td>Tania</td>
      <td>9</td>
      <td>14</td>
      <td>-13</td>
      <td>6</td>
      <td>-4</td>
    </tr>
    <tr>
      <td>Jose</td>
      <td>0</td>
      <td>5</td>
      <td>-9</td>
      <td>6</td>
      <td>-1</td>
    </tr>
    <tr>
      <td>Rosa</td>
      <td>8</td>
      <td>4</td>
      <td>-14</td>
      <td>0</td>
      <td>4</td>
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<p>cuando los índices de una <em>serie</em> se encuentrán dentro de las columnas del <em>dataframe</em> la operación se hace, en caso de los índices no se encuentren el resultado de la operación es <code>NaN</code>. El <em>dataframe</em> resultante tiene como columnas a la unión de los índices de la <em>serie</em> y las columnas del <em>dataframe</em> original.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_7</span><span class="o">-</span><span class="n">df_6</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
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      <td>Ale</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>-2.0</td>
      <td>12.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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      <td>Ivan</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>1.0</td>
      <td>8.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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      <td>Susana</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>-4.0</td>
      <td>17.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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      <td>Juan</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>7.0</td>
      <td>18.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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      <td>Tania</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>4.0</td>
      <td>8.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
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      <td>Jose</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>4.0</td>
      <td>11.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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      <td>Rosa</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>-2.0</td>
      <td>16.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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<p>Si se desea hacer una operación con las columnas es necesario usar los métodos implementados dentro de <em>pandas</em> para tal motivo, por defecto la operación se hace sobre las columnas por lo que para que nos permita hacer la operación es necesario pasar como argumento <code>axis='index'</code> o <code>index=0</code>.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_6</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">df_6</span><span class="p">[</span><span class="s1">&#39;f&#39;</span><span class="p">]</span> <span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="s1">&#39;index&#39;</span><span class="p">)</span>
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      <td>Ale</td>
      <td>5</td>
      <td>0</td>
      <td>19</td>
      <td>12</td>
      <td>13</td>
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      <td>Ivan</td>
      <td>18</td>
      <td>2</td>
      <td>19</td>
      <td>4</td>
      <td>9</td>
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      <td>Mariana</td>
      <td>8</td>
      <td>6</td>
      <td>6</td>
      <td>9</td>
      <td>19</td>
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      <td>Diana</td>
      <td>26</td>
      <td>34</td>
      <td>23</td>
      <td>27</td>
      <td>32</td>
    </tr>
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      <td>Susana</td>
      <td>14</td>
      <td>20</td>
      <td>15</td>
      <td>25</td>
      <td>14</td>
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      <td>Liliana</td>
      <td>24</td>
      <td>26</td>
      <td>28</td>
      <td>14</td>
      <td>24</td>
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      <td>Juan</td>
      <td>17</td>
      <td>22</td>
      <td>21</td>
      <td>29</td>
      <td>25</td>
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<h3 id="Aplicaci&#243;n-de-funciones-y-mapeos">Aplicaci&#243;n de funciones y mapeos<a class="anchor-link" href="#Aplicaci&#243;n-de-funciones-y-mapeos">&#182;</a></h3><p>Como hemos visto en <em>Pandas</em> se han implementado operaciones básica para hacer uso dentro de los <em>dataframes</em>, las cuales normalmente son elemento a elemento. Es común hacer operaciones como ordenar los datos o aplicar funciones estadísticas básicas dentro del manejo de datos, por lo cual los desarrolladodes de <em>Pandas</em> han tiene implementado muchas de estas funciones.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_8</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">5</span><span class="p">),</span> <span class="n">columns</span><span class="o">=</span><span class="nb">list</span><span class="p">(</span><span class="s1">&#39;jmlkn&#39;</span><span class="p">),</span>
                    <span class="n">index</span><span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Ale&#39;</span><span class="p">,</span> <span class="s1">&#39;Ivan&#39;</span><span class="p">,</span>  <span class="s1">&#39;Susana&#39;</span><span class="p">,</span> <span class="s1">&#39;Juan&#39;</span><span class="p">,</span> <span class="s1">&#39;Tania&#39;</span><span class="p">,</span> <span class="s1">&#39;Jose&#39;</span><span class="p">,</span> <span class="s1">&#39;Rosa&#39;</span><span class="p">])</span>
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      <td>Ale</td>
      <td>-0.297593</td>
      <td>-0.994836</td>
      <td>-0.719566</td>
      <td>0.139275</td>
      <td>-1.111591</td>
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      <td>Ivan</td>
      <td>0.332882</td>
      <td>-0.138951</td>
      <td>-0.191345</td>
      <td>-0.854492</td>
      <td>2.053859</td>
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      <td>Susana</td>
      <td>1.525446</td>
      <td>0.887508</td>
      <td>-0.793204</td>
      <td>0.615804</td>
      <td>1.777100</td>
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      <td>Juan</td>
      <td>1.312532</td>
      <td>0.584568</td>
      <td>-1.234745</td>
      <td>1.904540</td>
      <td>-0.233627</td>
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      <td>Tania</td>
      <td>0.048297</td>
      <td>-0.660224</td>
      <td>1.327946</td>
      <td>0.253548</td>
      <td>-0.370983</td>
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      <td>Jose</td>
      <td>0.808391</td>
      <td>0.089763</td>
      <td>-0.334103</td>
      <td>0.743805</td>
      <td>-0.716279</td>
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      <td>Rosa</td>
      <td>0.866163</td>
      <td>-0.906296</td>
      <td>-0.759443</td>
      <td>-0.518534</td>
      <td>0.299328</td>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_8</span><span class="o">.</span><span class="n">abs</span><span class="p">()</span>
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      <th>Ale</th>
      <td>0.134936</td>
      <td>1.645407</td>
      <td>0.233360</td>
      <td>0.870474</td>
      <td>1.439777</td>
    </tr>
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      <th>Ivan</th>
      <td>2.188042</td>
      <td>0.349098</td>
      <td>0.840044</td>
      <td>1.218484</td>
      <td>0.850818</td>
    </tr>
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      <th>Susana</th>
      <td>0.702109</td>
      <td>0.148102</td>
      <td>0.993264</td>
      <td>0.819689</td>
      <td>0.865077</td>
    </tr>
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      <th>Juan</th>
      <td>0.168823</td>
      <td>0.342346</td>
      <td>0.789971</td>
      <td>1.769815</td>
      <td>0.797758</td>
    </tr>
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      <th>Tania</th>
      <td>1.278761</td>
      <td>0.087434</td>
      <td>0.260693</td>
      <td>2.227542</td>
      <td>0.248471</td>
    </tr>
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      <th>Jose</th>
      <td>1.253660</td>
      <td>0.632949</td>
      <td>1.216889</td>
      <td>0.498683</td>
      <td>0.834774</td>
    </tr>
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      <th>Rosa</th>
      <td>0.474923</td>
      <td>1.942309</td>
      <td>0.117574</td>
      <td>1.715637</td>
      <td>0.442773</td>
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<p>El método <code>abs</code> toma la función <em>valor absoluto</em> $| |:\mathbb{R} \rightarrow \mathbb{R}^+$ elemento a elemento. Otro método es el de <code>sum</code> el cual regresa una serie donde los elementos son la suma ya sea de renglones o columnas, por defecto el método toma las columnas para tomar los renglones se le pasa como parámetro <code>axis= 1</code>.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_8</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span>
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<pre>j    4.596120
m   -1.138467
l   -2.704460
k    2.283945
n    1.697808
dtype: float64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_8</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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<pre>Ale      -2.984310
Ivan      1.201953
Susana    4.012654
Juan      2.333268
Tania     0.598585
Jose      0.591577
Rosa     -1.018783
dtype: float64</pre>
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<p>Para ordenar los datos a partir de su índice se utiliza el método <code>sort_index</code> el cual ordena los datos utilizando el índice en los renglones y si se desea ordenar los índices para las columnas se le pasa el argumento <code>axis=1</code> para las columnas.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_8</span><span class="o">.</span><span class="n">sort_index</span><span class="p">()</span>
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    <tr>
      <td>Ale</td>
      <td>-0.297593</td>
      <td>-0.994836</td>
      <td>-0.719566</td>
      <td>0.139275</td>
      <td>-1.111591</td>
    </tr>
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      <td>Ivan</td>
      <td>0.332882</td>
      <td>-0.138951</td>
      <td>-0.191345</td>
      <td>-0.854492</td>
      <td>2.053859</td>
    </tr>
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      <td>Jose</td>
      <td>0.808391</td>
      <td>0.089763</td>
      <td>-0.334103</td>
      <td>0.743805</td>
      <td>-0.716279</td>
    </tr>
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      <td>Juan</td>
      <td>1.312532</td>
      <td>0.584568</td>
      <td>-1.234745</td>
      <td>1.904540</td>
      <td>-0.233627</td>
    </tr>
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      <td>Rosa</td>
      <td>0.866163</td>
      <td>-0.906296</td>
      <td>-0.759443</td>
      <td>-0.518534</td>
      <td>0.299328</td>
    </tr>
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      <td>Susana</td>
      <td>1.525446</td>
      <td>0.887508</td>
      <td>-0.793204</td>
      <td>0.615804</td>
      <td>1.777100</td>
    </tr>
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      <td>Tania</td>
      <td>0.048297</td>
      <td>-0.660224</td>
      <td>1.327946</td>
      <td>0.253548</td>
      <td>-0.370983</td>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_8</span><span class="o">.</span><span class="n">sort_index</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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      <th>n</th>
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  </thead>
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    <tr>
      <td>Ale</td>
      <td>-0.297593</td>
      <td>0.139275</td>
      <td>-0.719566</td>
      <td>-0.994836</td>
      <td>-1.111591</td>
    </tr>
    <tr>
      <td>Ivan</td>
      <td>0.332882</td>
      <td>-0.854492</td>
      <td>-0.191345</td>
      <td>-0.138951</td>
      <td>2.053859</td>
    </tr>
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      <td>Susana</td>
      <td>1.525446</td>
      <td>0.615804</td>
      <td>-0.793204</td>
      <td>0.887508</td>
      <td>1.777100</td>
    </tr>
    <tr>
      <td>Juan</td>
      <td>1.312532</td>
      <td>1.904540</td>
      <td>-1.234745</td>
      <td>0.584568</td>
      <td>-0.233627</td>
    </tr>
    <tr>
      <td>Tania</td>
      <td>0.048297</td>
      <td>0.253548</td>
      <td>1.327946</td>
      <td>-0.660224</td>
      <td>-0.370983</td>
    </tr>
    <tr>
      <td>Jose</td>
      <td>0.808391</td>
      <td>0.743805</td>
      <td>-0.334103</td>
      <td>0.089763</td>
      <td>-0.716279</td>
    </tr>
    <tr>
      <td>Rosa</td>
      <td>0.866163</td>
      <td>-0.518534</td>
      <td>-0.759443</td>
      <td>-0.906296</td>
      <td>0.299328</td>
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<p>Si se desea ordenar los datos usando alguna columna en especifico se utiliza <code>sort_values</code>, y se utiliza el argumento <code>ascending= False</code> para tomarlo de forma descendiente.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_8</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">&#39;j&#39;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
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      <th>Ivan</th>
      <td>2.188042</td>
      <td>0.349098</td>
      <td>0.840044</td>
      <td>1.218484</td>
      <td>-0.850818</td>
    </tr>
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      <th>Tania</th>
      <td>1.278761</td>
      <td>0.087434</td>
      <td>0.260693</td>
      <td>2.227542</td>
      <td>-0.248471</td>
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      <th>Rosa</th>
      <td>0.474923</td>
      <td>1.942309</td>
      <td>0.117574</td>
      <td>1.715637</td>
      <td>-0.442773</td>
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      <th>Juan</th>
      <td>0.168823</td>
      <td>-0.342346</td>
      <td>0.789971</td>
      <td>-1.769815</td>
      <td>0.797758</td>
    </tr>
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      <th>Ale</th>
      <td>-0.134936</td>
      <td>-1.645407</td>
      <td>-0.233360</td>
      <td>0.870474</td>
      <td>1.439777</td>
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      <th>Susana</th>
      <td>-0.702109</td>
      <td>0.148102</td>
      <td>-0.993264</td>
      <td>0.819689</td>
      <td>0.865077</td>
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      <th>Jose</th>
      <td>-1.253660</td>
      <td>0.632949</td>
      <td>1.216889</td>
      <td>-0.498683</td>
      <td>0.834774</td>
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<p>Para obtener la suma acumulada se utiliza el método <code>cumsum</code>  el comportamiento por defecto es tomar la suma tomando una columna fija e ir sumando para cada índice, tomar fijo el índice se pasa como argumento <code>axis=1</code>.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_8</span><span class="o">.</span><span class="n">cumsum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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    <tr>
      <td>Ale</td>
      <td>-0.297593</td>
      <td>-1.292429</td>
      <td>-2.011994</td>
      <td>-1.872719</td>
      <td>-2.984310</td>
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      <td>Ivan</td>
      <td>0.332882</td>
      <td>0.193932</td>
      <td>0.002586</td>
      <td>-0.851906</td>
      <td>1.201953</td>
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      <td>Susana</td>
      <td>1.525446</td>
      <td>2.412954</td>
      <td>1.619751</td>
      <td>2.235554</td>
      <td>4.012654</td>
    </tr>
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      <td>Juan</td>
      <td>1.312532</td>
      <td>1.897100</td>
      <td>0.662355</td>
      <td>2.566895</td>
      <td>2.333268</td>
    </tr>
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      <td>Tania</td>
      <td>0.048297</td>
      <td>-0.611926</td>
      <td>0.716020</td>
      <td>0.969568</td>
      <td>0.598585</td>
    </tr>
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      <td>Jose</td>
      <td>0.808391</td>
      <td>0.898154</td>
      <td>0.564051</td>
      <td>1.307856</td>
      <td>0.591577</td>
    </tr>
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      <td>Rosa</td>
      <td>0.866163</td>
      <td>-0.040133</td>
      <td>-0.799576</td>
      <td>-1.318110</td>
      <td>-1.018783</td>
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<p>Otros métodos que se consideran de utilidad son <code>max</code> y <code>min</code> que son la función de máximo y mínimo respectivamente</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_8</span><span class="o">.</span><span class="n">min</span><span class="p">()</span>
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<pre>j   -1.253660
m   -1.645407
l   -0.993264
k   -1.769815
n   -0.850818
dtype: float64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_8</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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<pre>Ale      -1.645407
Ivan     -0.850818
Susana   -0.993264
Juan     -1.769815
Tania    -0.248471
Jose     -1.253660
Rosa     -0.442773
dtype: float64</pre>
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<p>Al regresar una <em>Serie</em>, se puede aplicar los métodos que se tengan implementados para las <em>Series</em> en una misma execución</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_8</span><span class="o">.</span><span class="n">min</span><span class="p">()</span><span class="o">.</span><span class="n">max</span><span class="p">()</span>
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<pre>-0.29759253926073315</pre>
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<p>Aunque saber el valor de estas funciones nos puede resultar de utilidad, en muchos casos lo que se desea saber es "quien" es el que tiene tal mínimo (o máximo). Para tal motivo están implementados los métodos <code>idmax</code> y <code>idmin</code> que regresan una <em>serie</em> con los indices mínimos ( o máximos ) para cada columna (o renglón con <code>axis=1</code> como parámetro)</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_8</span><span class="o">.</span><span class="n">idxmin</span><span class="p">()</span>
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<pre>j     Ale
m     Ale
l    Juan
k    Ivan
n     Ale
dtype: object</pre>
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<p>Si lo que se desea es saber el lugar que ocupa cada índice (reglón) con respecto a como se ordenan los datos en los diferentes tipos de datos (columnas o renglones) se puede utilizar el método <code>rank</code></p>

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      <th>Ale</th>
      <td>3.0</td>
      <td>1.0</td>
      <td>2.0</td>
      <td>4.0</td>
      <td>7.0</td>
    </tr>
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      <th>Ivan</th>
      <td>7.0</td>
      <td>5.0</td>
      <td>6.0</td>
      <td>5.0</td>
      <td>1.0</td>
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      <th>Susana</th>
      <td>2.0</td>
      <td>4.0</td>
      <td>1.0</td>
      <td>3.0</td>
      <td>6.0</td>
    </tr>
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      <th>Juan</th>
      <td>4.0</td>
      <td>2.0</td>
      <td>5.0</td>
      <td>1.0</td>
      <td>4.0</td>
    </tr>
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      <th>Tania</th>
      <td>6.0</td>
      <td>3.0</td>
      <td>4.0</td>
      <td>7.0</td>
      <td>3.0</td>
    </tr>
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      <th>Jose</th>
      <td>1.0</td>
      <td>6.0</td>
      <td>7.0</td>
      <td>2.0</td>
      <td>5.0</td>
    </tr>
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      <th>Rosa</th>
      <td>5.0</td>
      <td>7.0</td>
      <td>3.0</td>
      <td>6.0</td>
      <td>2.0</td>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_8</span><span class="o">.</span><span class="n">rank</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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      <th>Ale</th>
      <td>3.0</td>
      <td>1.0</td>
      <td>2.0</td>
      <td>4.0</td>
      <td>5.0</td>
    </tr>
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      <th>Ivan</th>
      <td>5.0</td>
      <td>2.0</td>
      <td>3.0</td>
      <td>4.0</td>
      <td>1.0</td>
    </tr>
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      <th>Susana</th>
      <td>2.0</td>
      <td>3.0</td>
      <td>1.0</td>
      <td>4.0</td>
      <td>5.0</td>
    </tr>
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      <th>Juan</th>
      <td>3.0</td>
      <td>2.0</td>
      <td>4.0</td>
      <td>1.0</td>
      <td>5.0</td>
    </tr>
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      <th>Tania</th>
      <td>4.0</td>
      <td>2.0</td>
      <td>3.0</td>
      <td>5.0</td>
      <td>1.0</td>
    </tr>
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      <th>Jose</th>
      <td>1.0</td>
      <td>3.0</td>
      <td>5.0</td>
      <td>2.0</td>
      <td>4.0</td>
    </tr>
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      <th>Rosa</th>
      <td>3.0</td>
      <td>5.0</td>
      <td>2.0</td>
      <td>4.0</td>
      <td>1.0</td>
    </tr>
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<p>Los métodos descritos con anterioridad pueden ser usados para hacer operacions más complejas, las operaciones como promedio (<code>mean</code>), desviación estandar <code>std</code> o covarianza <code>cov</code> también se encuentran implementadas. Para tener una descripción estadística básica del conjunto de datos podemos utilizar el método <code>describe</code>.</p>

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      <td>count</td>
      <td>7.000000</td>
      <td>7.000000</td>
      <td>7.000000</td>
      <td>7.000000</td>
      <td>7.000000</td>
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      <td>mean</td>
      <td>0.656589</td>
      <td>-0.162638</td>
      <td>-0.386351</td>
      <td>0.326278</td>
      <td>0.242544</td>
    </tr>
    <tr>
      <td>std</td>
      <td>0.662999</td>
      <td>0.732412</td>
      <td>0.828161</td>
      <td>0.903443</td>
      <td>1.224413</td>
    </tr>
    <tr>
      <td>min</td>
      <td>-0.297593</td>
      <td>-0.994836</td>
      <td>-1.234745</td>
      <td>-0.854492</td>
      <td>-1.111591</td>
    </tr>
    <tr>
      <td>25%</td>
      <td>0.190590</td>
      <td>-0.783260</td>
      <td>-0.776323</td>
      <td>-0.189630</td>
      <td>-0.543631</td>
    </tr>
    <tr>
      <td>50%</td>
      <td>0.808391</td>
      <td>-0.138951</td>
      <td>-0.719566</td>
      <td>0.253548</td>
      <td>-0.233627</td>
    </tr>
    <tr>
      <td>75%</td>
      <td>1.089348</td>
      <td>0.337165</td>
      <td>-0.262724</td>
      <td>0.679804</td>
      <td>1.038214</td>
    </tr>
    <tr>
      <td>max</td>
      <td>1.525446</td>
      <td>0.887508</td>
      <td>1.327946</td>
      <td>1.904540</td>
      <td>2.053859</td>
    </tr>
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<p>Si lo que se encuentra dentro de oun dataframe no son números si no strings <code>describe</code>regresa las estadísticas básicas relacionadas a las cadenas.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_9</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">([</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="s1">&#39;a&#39;</span><span class="p">,</span> <span class="s1">&#39;a&#39;</span><span class="p">,</span> <span class="s1">&#39;b&#39;</span><span class="p">,</span> <span class="s1">&#39;c&#39;</span><span class="p">]</span> <span class="o">*</span> <span class="mi">4</span><span class="p">),</span>
        <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="s1">&#39;hg&#39;</span><span class="p">,</span> <span class="s1">&#39;jg&#39;</span><span class="p">,</span> <span class="s1">&#39;lk&#39;</span><span class="p">,</span> <span class="s1">&#39;jg&#39;</span><span class="p">]</span> <span class="o">*</span> <span class="mi">4</span><span class="p">),</span>
        <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="s1">&#39;qhg&#39;</span><span class="p">,</span> <span class="s1">&#39;rjg&#39;</span><span class="p">,</span> <span class="s1">&#39;tlk&#39;</span><span class="p">,</span> <span class="s1">&#39;ljh&#39;</span><span class="p">]</span> <span class="o">*</span> <span class="mi">4</span><span class="p">),</span> 
        <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="s1">&#39;ashg&#39;</span><span class="p">,</span> <span class="s1">&#39;tylk&#39;</span><span class="p">,</span> <span class="s1">&#39;tylk&#39;</span><span class="p">,</span> <span class="s1">&#39;tylk&#39;</span><span class="p">]</span> <span class="o">*</span> <span class="mi">4</span><span class="p">)]</span>
        <span class="p">,</span> <span class="n">index</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;una&#39;</span><span class="p">,</span> <span class="s1">&#39;dos&#39;</span><span class="p">,</span> <span class="s1">&#39;tres&#39;</span><span class="p">,</span> <span class="s1">&#39;cuatro&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">T</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_9</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>una</th>
      <th>dos</th>
      <th>tres</th>
      <th>cuatro</th>
    </tr>
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    <tr>
      <td>count</td>
      <td>16</td>
      <td>16</td>
      <td>16</td>
      <td>16</td>
    </tr>
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      <td>unique</td>
      <td>3</td>
      <td>3</td>
      <td>4</td>
      <td>2</td>
    </tr>
    <tr>
      <td>top</td>
      <td>a</td>
      <td>jg</td>
      <td>rjg</td>
      <td>tylk</td>
    </tr>
    <tr>
      <td>freq</td>
      <td>8</td>
      <td>8</td>
      <td>4</td>
      <td>12</td>
    </tr>
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<p>La siguiente es una lista con los métos estadisticos que se encuentran disponibles junto con su descripción</p>
<table>
<thead><tr>
<th>Método</th>
<th>Descripción</th>
</tr>
</thead>
<tbody>
<tr>
<td><code>count</code></td>
<td>Número de de valores distintos a <code>NaN</code>.</td>
</tr>
<tr>
<td><code>describe</code></td>
<td>Calcula un conjunto de estadisticas para laas <em>Series</em> o los <em>Dataframes</em>.</td>
</tr>
<tr>
<td><code>min max</code></td>
<td>Calcula el mínimo y el máximo.</td>
</tr>
<tr>
<td><code>idxmin</code>, <code>idxgmax</code></td>
<td>Calcula el índice en el cual se encuentran el mínimo o el máximo.</td>
</tr>
<tr>
<td><code>quantile</code></td>
<td>Calcula el cuantil que se solicite sin espesificar toma .5 .</td>
</tr>
<tr>
<td><code>sum</code></td>
<td>La suma de los valores.</td>
</tr>
<tr>
<td><code>mean</code></td>
<td>El promedio.</td>
</tr>
<tr>
<td><code>median</code></td>
<td>La mediana (50% quantile) de los valores.</td>
</tr>
<tr>
<td><code>mad</code></td>
<td>La desviacion promedio del valor promedio.</td>
</tr>
<tr>
<td><code>prod</code></td>
<td>El producto de todos los valores.</td>
</tr>
<tr>
<td><code>var</code></td>
<td>La varianza.</td>
</tr>
<tr>
<td><code>std</code></td>
<td>La desviación estandar.</td>
</tr>
<tr>
<td><code>cumsum</code></td>
<td>La suma acumulada de los valores.</td>
</tr>
<tr>
<td><code>cummin</code>, <code>cummax</code></td>
<td>El valor acumulado mínimo o máximo respectivamente.</td>
</tr>
<tr>
<td><code>cumprod</code></td>
<td>El producto acumulado.</td>
</tr>
<tr>
<td><code>diff</code></td>
<td>La primera diferencia.</td>
</tr>
<tr>
<td><code>pct_change</code></td>
<td>Calcula el cambio en los porcentajes.</td>
</tr>
</tbody>
</table>

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<p>Durante el curso se verán más funciones estadísticas que ya se en cuentran implementadas dentro de los <em>dataframes</em> en <em>Pandas</em> como el cálculo de la covarianza y la correlación que se encuentran implementadas usando los métodos <code>cov</code> y <code>corr</code>.</p>

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<h2 id="Aplicacci&#243;n-de-funciones">Aplicacci&#243;n de funciones<a class="anchor-link" href="#Aplicacci&#243;n-de-funciones">&#182;</a></h2><p>Muchas veces dentro del ánalisis de datos es necesario aplicar funciones que no se encuentran implementadas o funciones definidas por el usuario a valores de los datos. El método <code>apply</code>  que se encuentra implementado dentro de los <em>dataframes</em> y las <em>series</em>, nos permite aplicar funciones definidas por el usuario o bibliotecas especializadas a los elementos dentro de los <em>dataframes</em> o las <em>series</em>, las cual nos pueden servir para distintos usos como seleccionar elementos, aplicación de modelos matemáticos, etc.</p>
<p>El método <code>apply</code> nos permite utilizar el cálculo $\lambda$ (<em>lambda</em>) para aplicar funciones, las cuales pueden se simpĺes o complejas, que dependan sólo de un elemento, varios elementos o de todos los elementos, etc.</p>
<p>Dependiendo de lo que se requiera se puede controlar el modo en el cual se aplica una función definida por el usuario a los elementos del dataframe. Si se desea aplicar la misma función a todos los elementos del <em>dataframe</em> y la función no depende de otro paramétros se utiliza el método directamente.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_8</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="o">.</span><span class="mi">5</span><span class="o">*</span><span class="n">x</span> <span class="o">+</span><span class="mi">4</span> <span class="p">)</span>
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>j</th>
      <th>m</th>
      <th>l</th>
      <th>k</th>
      <th>n</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>Ale</td>
      <td>3.851204</td>
      <td>3.502582</td>
      <td>3.640217</td>
      <td>4.069637</td>
      <td>3.444205</td>
    </tr>
    <tr>
      <td>Ivan</td>
      <td>4.166441</td>
      <td>3.930525</td>
      <td>3.904327</td>
      <td>3.572754</td>
      <td>5.026930</td>
    </tr>
    <tr>
      <td>Susana</td>
      <td>4.762723</td>
      <td>4.443754</td>
      <td>3.603398</td>
      <td>4.307902</td>
      <td>4.888550</td>
    </tr>
    <tr>
      <td>Juan</td>
      <td>4.656266</td>
      <td>4.292284</td>
      <td>3.382627</td>
      <td>4.952270</td>
      <td>3.883186</td>
    </tr>
    <tr>
      <td>Tania</td>
      <td>4.024149</td>
      <td>3.669888</td>
      <td>4.663973</td>
      <td>4.126774</td>
      <td>3.814509</td>
    </tr>
    <tr>
      <td>Jose</td>
      <td>4.404195</td>
      <td>4.044882</td>
      <td>3.832949</td>
      <td>4.371903</td>
      <td>3.641861</td>
    </tr>
    <tr>
      <td>Rosa</td>
      <td>4.433082</td>
      <td>3.546852</td>
      <td>3.620279</td>
      <td>3.740733</td>
      <td>4.149664</td>
    </tr>
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<p>Si se desea aplicar haciendo una iteración sobre un eje en particular, se le pasa el parámetro <code>axis</code>. Si se utiliza más de un parámetro dentro de la iteración, se puede acceder a este usando la notación de diccionario de python (<code>x[]</code>) o bien como si fuera una instancia dentro de un objeto (<code>x.</code>)</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_8</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="o">.</span><span class="mi">5</span><span class="o">*</span><span class="n">x</span><span class="p">[</span><span class="s1">&#39;j&#39;</span><span class="p">]</span> <span class="o">+</span><span class="mi">4</span> <span class="o">-</span> <span class="n">x</span><span class="p">[</span><span class="s1">&#39;m&#39;</span><span class="p">]</span> <span class="p">,</span> <span class="n">axis</span> <span class="o">=</span> <span class="mi">1</span><span class="p">)</span>
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<pre>Ale       4.846040
Ivan      4.305392
Susana    3.875214
Juan      4.071698
Tania     4.684372
Jose      4.314432
Rosa      5.339378
dtype: float64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_8</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="o">.</span><span class="mi">5</span><span class="o">*</span><span class="n">x</span><span class="o">.</span><span class="n">j</span> <span class="o">+</span><span class="mi">4</span> <span class="o">-</span> <span class="n">x</span><span class="o">.</span><span class="n">m</span> <span class="p">,</span> <span class="n">axis</span> <span class="o">=</span> <span class="mi">1</span><span class="p">)</span>
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<pre>Ale       4.846040
Ivan      4.305392
Susana    3.875214
Juan      4.071698
Tania     4.684372
Jose      4.314432
Rosa      5.339378
dtype: float64</pre>
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<p>Más adelante se ampliará sobre el uso del método <code>apply</code> para los distintos usos especificos, la intención es que se conozca sus implementaciones básicas para empezar a familiarizarse con su uso.</p>
<h2 id="Observaciones-Generales">Observaciones Generales<a class="anchor-link" href="#Observaciones-Generales">&#182;</a></h2><p>Las <em>Series</em> y los <em>Dataframes</em> son herramientas muy poderosas que se encuentran a nuestra disposición dentro de la biblioteca <em>Pandas</em>, estas estructuras nos permiten hacer un manejo de diferentes tipos de datos y tener una relación valor-índice. A partir de esta relación es posible seleccionar, cortar, filtrar, etc los datos que se encuentran dentro de los <em>dataframes</em> o las <em>series</em>.</p>

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