26.session.tar

inspector0000666000000000000000000000002712633127037011144 0ustar  00000000000000pd.pivot_table
ratingsonlinehelp0000666000000000000000000000000012664104573011266 0ustar  00000000000000spyder.ini0000666000000000000000000007160412664104573011237 0ustar  00000000000000[main]
lightwindow/is_fullscreen = False
lightwindow/prefs_dialog_size = (745, 411)
lightwindow/size = (650, 400)
single_instance = True
memory_usage/enable = True
window/position = (698, 0)
vertical_dockwidget_titlebars = False
window/prefs_dialog_size = (745, 411)
use_custom_margin = True
memory_usage/timeout = 2000
window/is_maximized = True
vertical_tabs = False
window/size = (667, 696)
animated_docks = True
show_internal_console_if_traceback = True
cpu_usage/enable = False
lightwindow/position = (30, 30)
custom_margin = 0
window/is_fullscreen = False
tear_off_menus = False
open_files_port = 21128
lightwindow/is_maximized = False
cpu_usage/timeout = 2000
version = 15.2.0
crash = False
current_version = 2.3.8
windows_style = cleanlooks
historylog_filename = C:\Users\vatsal\.spyder2-py3\history.log
window/state = 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
window/statusbar = True

[quick_layouts]
place_holder = 

[editor_appearance]
completion/size = (300, 180)
cursor/width = 2

[shell_appearance]
completion/size = (300, 180)
cursor/width = 2

[internal_console]
calltips = True
codecompletion/case_sensitive = True
working_dir_adjusttocontents = False
font/size = 10
font/bold = False
working_dir_history = 30
light_background = True
codecompletion/auto = False
wrap = True
font/italic = False
max_line_count = 300
codecompletion/enter_key = True
external_editor/gotoline = -goto:
external_editor/path = SciTE
font/family = ['Monospace', 'DejaVu Sans Mono', 'Consolas', 'Bitstream Vera Sans Mono', 'Andale Mono', 'Liberation Mono', 'Courier New', 'Courier', 'monospace', 'Fixed', 'Terminal']
first_time = True

[console]
calltips = True
codecompletion/case_sensitive = True
font/size = 10
font/bold = False
umr/verbose = True
show_icontext = False
pyqt/api_version = 2
colorize_sys_stderr = False
pythonstartup/custom = False
font/italic = False
umr/enabled = True
show_elapsed_time = False
max_line_count = 500
matplotlib/backend/value = Qt4Agg
matplotlib/backend/enabled = True
pythonexecutable/custom = False
umr/namelist = ['guidata', 'guiqwt']
font/family = ['Monospace', 'DejaVu Sans Mono', 'Consolas', 'Bitstream Vera Sans Mono', 'Andale Mono', 'Liberation Mono', 'Courier New', 'Courier', 'monospace', 'Fixed', 'Terminal']
light_background = True
codecompletion/enter_key = True
pythonstartup/default = True
pyqt/ignore_sip_setapi_errors = False
merge_output_channels = False
object_inspector = True
codecompletion/auto = True
single_tab = True
qt/api = default
pythonexecutable/default = True
wrap = True
ets_backend = qt4
monitor/enabled = True
pythonexecutable = C:\Users\vatsal\Anaconda3\python.exe
pythonstartup = C:\Users\vatsal\Anaconda3\lib\site-packages\spyderlib\scientific_startup.py
first_time = True

[ipython_console]
autocall = 0
font/size = 10
font/bold = False
startup/run_lines = 
pylab = True
startup/run_file = 
pylab/inline/height = 4
light_color = True
show_calltips = True
font/italic = False
ask_before_closing = True
symbolic_math = False
greedy_completer = False
pylab/inline/resolution = 72
pylab/autoload = False
buffer_size = 500
startup/use_run_file = False
pylab/backend = 0
in_prompt = 
pylab/inline/figure_format = 0
pylab/inline/width = 6
show_banner = True
dark_color = False
use_gui_completion = True
font/family = ['Monospace', 'DejaVu Sans Mono', 'Consolas', 'Bitstream Vera Sans Mono', 'Andale Mono', 'Liberation Mono', 'Courier New', 'Courier', 'monospace', 'Fixed', 'Terminal']
object_inspector = True
out_prompt = 
use_pager = False
first_time = False

[variable_explorer]
exclude_private = True
minmax = False
remote_editing = False
exclude_capitalized = False
excluded_names = ['nan', 'inf', 'infty', 'little_endian', 'colorbar_doc', 'typecodes', '__builtins__', '__main__', '__doc__', 'NaN', 'Inf', 'Infinity', 'sctypes', 'rcParams', 'rcParamsDefault', 'sctypeNA', 'typeNA', 'False_', 'True_']
autorefresh/timeout = 2000
check_all = False
exclude_uppercase = True
autorefresh = False
exclude_unsupported = True
truncate = True
first_time = True

[editor]
calltips = True
save_all_before_run = True
onsave_analysis = False
font/size = 10
go_to_definition = True
todo_list = True
font/italic = False
realtime_analysis = True
always_remove_trailing_spaces = False
blank_spaces = False
focus_to_editor = True
code_analysis/pep8 = False
add_colons = True
edge_line_column = 79
tab_always_indent = False
printer_header/font/bold = False
realtime_analysis/timeout = 2500
codecompletion/auto = True
intelligent_backspace = True
indent_chars = *    *
auto_unindent = True
edge_line = True
object_inspector = True
outline_explorer = True
codecompletion/case_sensitive = True
show_tab_bar = True
toolbox_panel = True
font/bold = False
line_numbers = True
close_parentheses = True
code_analysis/pyflakes = True
printer_header/font/size = 10
max_recent_files = 20
printer_header/font/family = ['Sans Serif', 'DejaVu Sans', 'Bitstream Vera Sans', 'Bitstream Charter', 'Lucida Grande', 'MS Shell Dlg 2', 'Calibri', 'Verdana', 'Geneva', 'Lucid', 'Arial', 'Helvetica', 'Avant Garde', 'Times', 'sans-serif']
tab_stop_width = 40
occurence_highlighting = True
font/family = ['Monospace', 'DejaVu Sans Mono', 'Consolas', 'Bitstream Vera Sans Mono', 'Andale Mono', 'Liberation Mono', 'Courier New', 'Courier', 'monospace', 'Fixed', 'Terminal']
wrapflag = True
codecompletion/enter_key = True
close_quotes = False
printer_header/font/italic = False
occurence_highlighting/timeout = 1500
fullpath_sorting = True
check_eol_chars = True
highlight_current_cell = True
wrap = False
highlight_current_line = True
color_scheme_name = 'Spyder'
splitter_state = 000000ff00000000000000010000036101000000050100000001
recent_files = ['C:\\Users\\vatsal\\OneDrive\\Date_Your_Data\\start.py', 'C:\\Users\\vatsal\\OneDrive\\Sentiment_Module_Twitter_1.1\\word_scoring.py', 'C:\\Users\\vatsal\\OneDrive\\Sentiment_Module_Twitter_1.1\\train_classifiers.py', 'C:\\Users\\vatsal\\OneDrive\\Sentiment_Module_Twitter_1.1\\final_demo_v1.1.py', 'C:\\Users\\vatsal\\Anaconda3\\lib\\pickle.py', 'C:\\Users\\vatsal\\OneDrive\\Sentiment_Python\\train_classifiers_old.py', 'C:\\Users\\vatsal\\OneDrive\\Sentiment_Module_Twitter_1.1\\evaluate_features.py', 'C:\\Users\\vatsal\\OneDrive\\Sentiment_Module_Twitter_1.1\\Improved_Complete.py', 'C:\\Users\\vatsal\\OneDrive\\Sentiment_Python\\extract_features.py', 'C:\\Users\\vatsal\\OneDrive\\Sentiment_Python\\twitter-out.txt', 'C:\\Users\\vatsal\\OneDrive\\Sentiment_Python\\train_classifiers.py', 'C:\\Users\\vatsal\\OneDrive\\Sentiment_Python\\testing.py', 'C:\\Users\\vatsal\\OneDrive\\Sentiment_Python\\stream_tweets.py', 'C:\\Users\\vatsal\\OneDrive\\Sentiment_Python\\final_demo_v1.0.0.py', 'C:\\Users\\vatsal\\OneDrive\\leetcode\\Word Count.py', 'C:\\Users\\vatsal\\OneDrive\\leetcode\\Longest Substring Without Repeating Characters.py', 'C:\\Users\\vatsal\\OneDrive\\leetcode\\Coin change.py', 'C:\\Users\\vatsal\\OneDrive\\Sentiment_Python\\finaldemov0.0.0.py', 'C:\\Users\\vatsal\\OneDrive\\Sentiment_Python\\extract_features_and_TRAIN.py', 'C:\\Users\\vatsal\\OneDrive\\Sentiment_Python\\feature_extraction.py']
filenames = ['C:\\Users\\vatsal\\OneDrive\\Date_Your_Data\\start.py']
first_time = True
layout_settings = {'hexstate': '000000ff00000000000000010000029800000000050100000001', 'sizes': [497], 'splitsettings': [(False, 'C:\\Users\\vatsal\\OneDrive\\Date_Your_Data\\start.py', [31])]}
windows_layout_settings = []

[historylog]
wrap = True
font/size = 10
font/bold = False
max_entries = 100
go_to_eof = True
font/italic = False
enable = True
font/family = ['Monospace', 'DejaVu Sans Mono', 'Consolas', 'Bitstream Vera Sans Mono', 'Andale Mono', 'Liberation Mono', 'Courier New', 'Courier', 'monospace', 'Fixed', 'Terminal']
color_scheme_name = 'Spyder'
first_time = False

[inspector]
font/size = 9
font/bold = False
rich_text/font/bold = False
math = True
rich_text/font/family = ['Sans Serif', 'DejaVu Sans', 'Bitstream Vera Sans', 'Bitstream Charter', 'Lucida Grande', 'MS Shell Dlg 2', 'Calibri', 'Verdana', 'Geneva', 'Lucid', 'Arial', 'Helvetica', 'Avant Garde', 'Times', 'sans-serif']
max_history_entries = 20
enable = True
connect/ipython_console = False
connect/python_console = False
connect/editor = False
font/italic = False
rich_text/font/size = 12
wrap = True
rich_text/font/italic = False
automatic_import = True
font/family = ['Monospace', 'DejaVu Sans Mono', 'Consolas', 'Bitstream Vera Sans Mono', 'Andale Mono', 'Liberation Mono', 'Courier New', 'Courier', 'monospace', 'Fixed', 'Terminal']
color_scheme_name = 'Spyder'
rich_mode = True
first_time = True

[onlinehelp]
zoom_factor = 0.8
enable = True
max_history_entries = 20
first_time = True

[outline_explorer]
show_comments = True
enable = True
show_all_files = False
show_fullpath = False
expanded_state = {-4395921217492622736: True}
first_time = True
scrollbar_position = (0, 0)
visibility = False

[project_explorer]
name_filters = ['*.py', '*.pyw', '*.ipy', '*.pyx', '*.pxd', '*.pxi', '*.c', '*.h', '*.cc', '*.cpp', '*.cxx', '*.h', '*.hh', '*.hpp', '*.hxx', '*.cl', '*.f', '*.for', '*.f77', '*.f90', '*.f95', '*.f2k', '*.pro', '*.m', '*.jl', '*.yaml', '*.yml', '*.patch', '*.diff', '*.rej', '*.bat', '*.cmd', '*.txt', '*.txt', '*.rst', '*.po', '*.pot', '*.nsi', '*.nsh', '*.css', '*.htm', '*.html', '*.xml', '*.js', '*.json', '*.ipynb', '*.enaml', '*.properties', '*.session', '*.ini', '*.inf', '*.reg', '*.cfg', '*.desktop', '*.pkl', '*.png', '*.gif', '*.npz', '*.npy', '*.mat', '*.h5', '*.tif', '*.pickle', '*.spydata', '*.csv', '*.json', '*.jpg', '*.txt', '*.png', '*.ico', '*.svg', 'README', 'INSTALL', 'LICENSE', 'CHANGELOG']
show_hscrollbar = True
enable = True
show_all = False
font/family = None
workspace = C:\Users\vatsal\OneDrive
expanded_state = ['C:\\Users\\vatsal\\OneDrive\\Date_Your_Data\\trainfiles\\traincsv', 'C:\\Users\\vatsal\\OneDrive\\Date_Your_Data', 'C:\\Users\\vatsal\\OneDrive\\Date_Your_Data\\trainfiles\\Internship', 'C:\\Users', 'C:\\Users\\vatsal', 'C:\\Users\\vatsal\\OneDrive\\Date_Your_Data\\test-date-your-data', 'C:\\Users\\vatsal\\OneDrive\\Date_Your_Data\\trainfiles\\Student', 'C:\\', 'C:\\Users\\vatsal\\OneDrive\\Date_Your_Data\\trainfiles', 'C:\\Users\\vatsal\\OneDrive']
first_time = True
scrollbar_position = (0, 0)

[arrayeditor]
font/italic = False
font/size = 9
font/bold = False
font/family = ['Monospace', 'DejaVu Sans Mono', 'Consolas', 'Bitstream Vera Sans Mono', 'Andale Mono', 'Liberation Mono', 'Courier New', 'Courier', 'monospace', 'Fixed', 'Terminal']

[texteditor]
font/italic = False
font/size = 10
font/bold = False
font/family = ['Monospace', 'DejaVu Sans Mono', 'Consolas', 'Bitstream Vera Sans Mono', 'Andale Mono', 'Liberation Mono', 'Courier New', 'Courier', 'monospace', 'Fixed', 'Terminal']

[dicteditor]
font/italic = False
font/size = 9
font/bold = False
font/family = ['Monospace', 'DejaVu Sans Mono', 'Consolas', 'Bitstream Vera Sans Mono', 'Andale Mono', 'Liberation Mono', 'Courier New', 'Courier', 'monospace', 'Fixed', 'Terminal']

[explorer]
wrap = True
show_hidden = True
name_filters = ['*.py', '*.pyw', '*.ipy', '*.pyx', '*.pxd', '*.pxi', '*.c', '*.h', '*.cc', '*.cpp', '*.cxx', '*.h', '*.hh', '*.hpp', '*.hxx', '*.cl', '*.f', '*.for', '*.f77', '*.f90', '*.f95', '*.f2k', '*.pro', '*.m', '*.jl', '*.yaml', '*.yml', '*.patch', '*.diff', '*.rej', '*.bat', '*.cmd', '*.txt', '*.txt', '*.rst', '*.po', '*.pot', '*.nsi', '*.nsh', '*.css', '*.htm', '*.html', '*.xml', '*.js', '*.json', '*.ipynb', '*.enaml', '*.properties', '*.session', '*.ini', '*.inf', '*.reg', '*.cfg', '*.desktop', '*.pkl', '*.png', '*.gif', '*.npz', '*.npy', '*.mat', '*.h5', '*.tif', '*.pickle', '*.spydata', '*.csv', '*.json', '*.jpg', '*.txt', '*.png', '*.ico', '*.svg', 'README', 'INSTALL', 'LICENSE', 'CHANGELOG']
enable = True
show_icontext = False
show_all = True
font/family = None
first_time = True

[find_in_files]
in_python_path = False
supported_encodings = ['utf-8', 'iso-8859-1', 'cp1252']
more_options = True
exclude = ['\\.pyc$|\\.pyo$|\\.orig$|\\.hg|\\.svn|\\bbuild\\b', '\\.pyc$|\\.pyo$|\\.orig$|\\.hg|\\.svn']
search_text = ['']
exclude_regexp = True
include_regexp = True
enable = True
search_text_regexp = True
include = ['\\.py$|\\.pyw$|\\.ipy$|\\.pyx$|\\.pxd$|\\.pxi$|\\.c$|\\.h$|\\.cc$|\\.cpp$|\\.cxx$|\\.h$|\\.hh$|\\.hpp$|\\.hxx$|\\.cl$|\\.f$|\\.for$|\\.f77$|\\.f90$|\\.f95$|\\.f2k$|\\.pro$|\\.m$|\\.jl$|\\.yaml$|\\.yml$|\\.patch$|\\.diff$|\\.rej$|\\.bat$|\\.cmd$|\\.txt$|\\.txt$|\\.rst$|\\.po$|\\.pot$|\\.nsi$|\\.nsh$|\\.css$|\\.htm$|\\.html$|\\.xml$|\\.js$|\\.json$|\\.ipynb$|\\.enaml$|\\.properties$|\\.session$|\\.ini$|\\.inf$|\\.reg$|\\.cfg$|\\.desktop$|README|INSTALL', '\\.pyw?$|\\.ipy$|\\.txt$|\\.rst$', '.']
search_text_samples = ['(^|#)[ ]*(TODO|FIXME|XXX|HINT|TIP|@todo)([^#]*)']
search_path = None
include_idx = None
exclude_idx = None
first_time = True

[workingdir]
working_dir_adjusttocontents = False
editor/new/browse_scriptdir = False
editor/open/browse_scriptdir = True
working_dir_history = 20
startup/use_last_directory = True
editor/open/auto_set_to_basedir = False
editor/open/browse_workdir = False
editor/save/auto_set_to_basedir = False
editor/new/browse_workdir = True
startup/use_fixed_directory = False
startup/fixed_directory = H:\TUTORIALS\Data Science & Analytics\Python

[shortcuts]
editor/run = F5
editor/find next = F3
editor/go to next file = Ctrl+Shift+Tab
_/set layout 1 = Ctrl+Shift+Alt+F1
_/debug continue = Ctrl+F12
editor/go to previous file = Ctrl+Tab
editor/find previous = Shift+F3
_/switch to historylog = Ctrl+Shift+L
editor/unblockcomment = Ctrl+5
_/maximize pane = Ctrl+Alt+Shift+M
editor/open file = Ctrl+O
_/switch to breakpoints = Ctrl+Shift+B
editor/go to line = Ctrl+L
editor/breakpoint = F12
_/switch to explorer = Ctrl+Shift+X
editor/blockcomment = Ctrl+4
console/clear shell = Ctrl+L
editor/next cursor position = Ctrl+Alt+Right
_/switch to/from layout 2 = Shift+Alt+F2
editor/run selection = F9
editor/move line up = Alt+Up
editor/inspect current object = Ctrl+I
editor/save all = Ctrl+Shift+S
profiler/run profiler = F10
_/close pane = Shift+Ctrl+F4
editor/code completion = Ctrl+Space
_/debug exit = Ctrl+Shift+F12
editor/duplicate line = Ctrl+Alt+Up
_/quit = Ctrl+Q
_/switch to/from layout 3 = Shift+Alt+F3
console/inspect current object = Ctrl+I
_/switch to variable_explorer = Ctrl+Shift+V
editor/re-run last script = Ctrl+F6
editor/show/hide project explorer = Ctrl+Alt+P
editor/file list management = Ctrl+E
_/set layout 2 = Ctrl+Shift+Alt+F2
editor/find text = Ctrl+F
_/switch to outline_explorer = Ctrl+Shift+O
_/debug step return = Ctrl+Shift+F11
editor/configure = F6
editor/debug = Ctrl+F5
_/switch to console = Ctrl+Shift+C
_/switch to/from layout 1 = Shift+Alt+F1
_/switch to onlinehelp = Ctrl+Shift+D
pylint/run analysis = F8
_/switch to inspector = Ctrl+Shift+H
editor/print = Ctrl+P
editor/conditional breakpoint = Shift+F12
_/preferences = Ctrl+Alt+Shift+P
_/switch to project_explorer = Ctrl+Shift+P
editor/move line down = Alt+Down
_/debug step into = Ctrl+F11
_/set layout 3 = Ctrl+Shift+Alt+F3
editor/show/hide outline = Ctrl+Alt+O
editor/save file = Ctrl+S
editor/copy line = Ctrl+Alt+Down
_/debug step over = Ctrl+F10
_/switch to find_in_files = Ctrl+Shift+F
editor/last edit location = Ctrl+Alt+Shift+Left
editor/go to definition = Ctrl+G
console/clear line = Shift+Escape
editor/replace text = Ctrl+H
editor/delete line = Ctrl+D
editor/toggle comment = Ctrl+1
editor/previous cursor position = Ctrl+Alt+Left
_/switch to ipython_console = Ctrl+Shift+I
_/switch to editor = Ctrl+Shift+E
_/fullscreen mode = F11
editor/close all = Ctrl+Shift+W
editor/new file = Ctrl+N
editor/debug with winpdb = F7

[color_schemes]
scintilla/string = ('#7f007f', False, False)
monokai/definition = ('#a6e22e', False, False)
emacs/ctrlclick = #0000ff
monokai/number = ('#ae81ff', False, False)
scintilla/definition = ('#007f7f', True, False)
spyder/builtin = ('#900090', False, False)
monokai/unmatched_p = #bd6e76
monokai/occurence = #666666
emacs/background = #000000
pydev/background = #ffffff
emacs/string = ('#00aa00', False, True)
pydev/string = ('#00aa00', False, True)
idle/keyword = ('#ff7700', True, False)
monokai/builtin = ('#ae81ff', False, False)
spyder/dark/background = #131926
spyder/dark/comment = ('#7f7f7f', False, False)
zenburn/background = #3f3f3f
spyder/sideareas = #efefef
spyder/dark/builtin = ('#aa00aa', False, False)
monokai/instance = ('#ddddda', False, True)
spyder/currentcell = #fdfdde
zenburn/currentline = #333333
zenburn/occurence = #7a738f
zenburn/matched_p = #688060
spyder/string = ('#00aa00', False, False)
spyder/dark/matched_p = #009800
idle/unmatched_p = #ff9999
spyder/ctrlclick = #0000ff
zenburn/comment = ('#7f9f7f', False, True)
spyder/keyword = ('#0000ff', True, False)
zenburn/number = ('#8cd0d3', False, False)
spyder/definition = ('#000000', True, False)
scintilla/builtin = ('#000000', False, False)
monokai/currentcell = #3d3d3d
names = ['Custom', 'Emacs', 'IDLE', 'Monokai', 'Pydev', 'Scintilla', 'Spyder', 'Spyder/Dark', 'Zenburn']
spyder/instance = ('#924900', False, True)
idle/currentline = #f2e6f3
emacs/currentcell = #1c1c2d
pydev/comment = ('#c0c0c0', False, False)
idle/matched_p = #99ff99
zenburn/normal = ('#dcdccc', False, False)
scintilla/matched_p = #99ff99
scintilla/ctrlclick = #0000ff
pydev/keyword = ('#0000ff', False, False)
spyder/dark/keyword = ('#558eff', False, False)
spyder/dark/unmatched_p = #c80000
emacs/normal = ('#ffffff', False, False)
emacs/occurence = #abab67
scintilla/currentcell = #edfcdc
spyder/dark/currentline = #2b2b43
pydev/instance = ('#000000', False, True)
monokai/keyword = ('#f92672', False, False)
monokai/string = ('#e6db74', False, False)
scintilla/sideareas = #efefef
spyder/comment = ('#ff0000', False, True)
scintilla/comment = ('#007f00', False, False)
spyder/normal = ('#000000', False, False)
scintilla/keyword = ('#00007f', True, False)
emacs/number = ('#800000', False, False)
zenburn/sideareas = #3f3f3f
monokai/sideareas = #2a2b24
scintilla/occurence = #ffff99
zenburn/ctrlclick = #0000ff
pydev/sideareas = #efefef
spyder/currentline = #f8edf8
pydev/builtin = ('#900090', False, False)
pydev/currentcell = #eff8fe
scintilla/normal = ('#000000', False, False)
emacs/unmatched_p = #c80000
emacs/instance = ('#ffffff', False, True)
emacs/sideareas = #555555
monokai/currentline = #484848
monokai/ctrlclick = #0000ff
idle/ctrlclick = #0000ff
scintilla/number = ('#007f7f', False, False)
emacs/definition = ('#ff8040', True, False)
idle/instance = ('#777777', True, True)
spyder/dark/definition = ('#ffffff', True, False)
monokai/comment = ('#75715e', False, True)
pydev/ctrlclick = #0000ff
zenburn/string = ('#cc9393', False, False)
spyder/occurence = #ffff99
zenburn/unmatched_p = #bd6e76
spyder/dark/string = ('#11a642', False, True)
scintilla/currentline = #e1f0d1
idle/string = ('#00aa00', False, False)
pydev/matched_p = #99ff99
idle/sideareas = #efefef
emacs/currentline = #2b2b43
pydev/definition = ('#000000', True, False)
spyder/dark/currentcell = #31314e
emacs/keyword = ('#3c51e8', False, False)
pydev/number = ('#800000', False, False)
scintilla/instance = ('#000000', False, True)
scintilla/background = #ffffff
spyder/matched_p = #99ff99
spyder/background = #ffffff
spyder/dark/instance = ('#be5f00', False, True)
emacs/comment = ('#005100', False, False)
zenburn/keyword = ('#dfaf8f', True, False)
spyder/dark/ctrlclick = #0000ff
pydev/currentline = #e8f2fe
idle/normal = ('#000000', False, False)
spyder/dark/normal = ('#ffffff', False, False)
spyder/unmatched_p = #ff9999
idle/builtin = ('#900090', False, False)
pydev/occurence = #ffff99
monokai/normal = ('#ddddda', False, False)
scintilla/unmatched_p = #ff9999
zenburn/instance = ('#dcdccc', False, True)
monokai/matched_p = #688060
idle/occurence = #e8f2fe
monokai/background = #2a2b24
idle/currentcell = #feefff
idle/number = ('#924900', False, False)
spyder/number = ('#800000', False, False)
idle/comment = ('#dd0000', False, True)
spyder/dark/occurence = #abab67
pydev/normal = ('#000000', False, False)
zenburn/currentcell = #2c2c2c
idle/background = #ffffff
zenburn/definition = ('#efef8f', False, False)
idle/definition = ('#0000ff', False, False)
pydev/unmatched_p = #ff99992
spyder/dark/number = ('#c80000', False, False)
spyder/dark/sideareas = #282828
emacs/matched_p = #009800
zenburn/builtin = ('#efef8f', False, False)
emacs/builtin = ('#900090', False, False)
custom/background = #ffffff
custom/currentline = #f7ecf8
custom/currentcell = #fdfdde
custom/occurence = #ffff99
custom/ctrlclick = #0000ff
custom/sideareas = #efefef
custom/matched_p = #99ff99
custom/unmatched_p = #ff9999
custom/normal = ('#000000', False, False)
custom/keyword = ('#0000ff', False, False)
custom/builtin = ('#900090', False, False)
custom/definition = ('#000000', True, False)
custom/comment = ('#adadad', False, True)
custom/string = ('#00aa00', False, False)
custom/number = ('#800000', False, False)
custom/instance = ('#924900', False, True)

[run]
breakpoints = {'C:\\Users\\vatsal\\.spyder2-py3\\temp.py': [], 'C:\\Users\\vatsal\\OneDrive\\Sentiment_Module_Twitter_1.1\\Improved_Complete.py': [], 'H:\\TUTORIALS\\Data Science & Analytics\\Python\\pyglatin.py': [], 'H:\\TUTORIALS\\Data Science & Analytics\\Python\\Test.py': []}
history = 20
configurations = [('C:\\Users\\vatsal\\OneDrive\\Date_Your_Data\\start.py', {'interact': False, 'workdir': 'C:\\Users\\vatsal\\OneDrive\\Date_Your_Data', 'current': True, 'workdir/enabled': True, 'systerm': False, 'args/enabled': False, 'args': '', 'python_args': '', 'show_kill_warning': True, 'python_args/enabled': False}), ('C:\\Users\\vatsal\\OneDrive\\Sentiment_Module_Twitter_1.1\\final_demo_v1.1.py', {'interact': False, 'workdir': 'C:\\Users\\vatsal\\OneDrive\\Sentiment_Module_Twitter_1.1', 'current': True, 'workdir/enabled': True, 'systerm': False, 'args/enabled': False, 'args': '', 'python_args': '', 'show_kill_warning': True, 'python_args/enabled': False}), ('C:\\Users\\vatsal\\OneDrive\\Sentiment_Module_Twitter_1.1\\evaluate_features.py', {'interact': False, 'workdir': 'C:\\Users\\vatsal\\OneDrive\\Sentiment_Module_Twitter_1.1', 'current': True, 'workdir/enabled': True, 'systerm': False, 'args/enabled': False, 'args': '', 'python_args': '', 'show_kill_warning': True, 'python_args/enabled': False}), ('C:\\Users\\vatsal\\OneDrive\\Sentiment_Module_Twitter_1.1\\Improved_Complete.py', {'interact': False, 'workdir': 'C:\\Users\\vatsal\\OneDrive\\Sentiment_Module_Twitter_1.1', 'current': True, 'workdir/enabled': True, 'systerm': False, 'args/enabled': False, 'args': '', 'python_args': '', 'show_kill_warning': True, 'python_args/enabled': False}), ('C:\\Users\\vatsal\\OneDrive\\leetcode\\Word Count.py', {'interact': False, 'workdir': 'C:\\Users\\vatsal\\OneDrive\\leetcode', 'current': True, 'workdir/enabled': True, 'systerm': False, 'args/enabled': False, 'args': '', 'python_args': '', 'show_kill_warning': True, 'python_args/enabled': False}), ('C:\\Users\\vatsal\\OneDrive\\leetcode\\Coin change.py', {'interact': False, 'workdir': 'C:\\Users\\vatsal\\OneDrive\\leetcode', 'current': True, 'workdir/enabled': True, 'systerm': False, 'args/enabled': False, 'args': '', 'python_args': '', 'show_kill_warning': True, 'python_args/enabled': False}), ('C:\\Users\\vatsal\\OneDrive\\leetcode\\Longest Substring Without Repeating Characters.py', {'interact': False, 'workdir': 'C:\\Users\\vatsal\\OneDrive\\leetcode', 'current': True, 'workdir/enabled': True, 'systerm': False, 'args/enabled': False, 'args': '', 'python_args': '', 'show_kill_warning': True, 'python_args/enabled': False}), ('C:\\Users\\vatsal\\features.py', {'interact': False, 'workdir': 'C:\\Users\\vatsal', 'current': True, 'workdir/enabled': True, 'systerm': False, 'args/enabled': False, 'args': '', 'python_args': '', 'show_kill_warning': True, 'python_args/enabled': False}), ('C:\\Users\\vatsal\\timediff.py', {'interact': False, 'workdir': 'C:\\Users\\vatsal', 'current': True, 'workdir/enabled': True, 'systerm': False, 'args/enabled': False, 'args': '', 'python_args': '', 'show_kill_warning': True, 'python_args/enabled': False}), ('C:\\Users\\vatsal\\rural_water_supply.py', {'interact': False, 'workdir': 'C:\\Users\\vatsal', 'current': True, 'workdir/enabled': True, 'systerm': False, 'args/enabled': False, 'args': '', 'python_args': '', 'show_kill_warning': True, 'python_args/enabled': False}), ('C:\\Users\\vatsal\\chunking.py', {'interact': False, 'workdir': 'C:\\Users\\vatsal', 'current': True, 'workdir/enabled': True, 'systerm': False, 'args/enabled': False, 'args': '', 'python_args': '', 'show_kill_warning': True, 'python_args/enabled': False}), ('H:\\TUTORIALS\\Data Science & Analytics\\Python\\ml1.py', {'interact': False, 'workdir': 'H:\\TUTORIALS\\Data Science & Analytics\\Python', 'current': True, 'workdir/enabled': True, 'systerm': False, 'args/enabled': False, 'args': '', 'python_args': '', 'show_kill_warning': True, 'python_args/enabled': False}), ('H:\\TUTORIALS\\Data Science & Analytics\\Python\\Test.py', {'interact': False, 'workdir': 'H:\\TUTORIALS\\Data Science & Analytics\\Python', 'current': True, 'workdir/enabled': True, 'systerm': False, 'args/enabled': False, 'args': '', 'python_args': '', 'show_kill_warning': True, 'python_args/enabled': False}), ('H:\\TUTORIALS\\Data Science & Analytics\\Python\\pyglatin.py', {'interact': False, 'workdir': 'H:\\TUTORIALS\\Data Science & Analytics\\Python', 'current': True, 'workdir/enabled': True, 'systerm': False, 'args/enabled': False, 'args': '', 'python_args': '', 'show_kill_warning': True, 'python_args/enabled': False}), ('C:\\Users\\vatsal\\.spyder2-py3\\temp.py', {'interact': False, 'workdir': 'C:\\Users\\vatsal\\.spyder2-py3', 'current': True, 'workdir/enabled': True, 'systerm': False, 'args/enabled': False, 'args': '', 'python_args': '', 'show_kill_warning': True, 'python_args/enabled': False})]
defaultconfiguration = {}
default/wdir/use_fixed_directory = False
default/interpreter/current = True
default/interpreter/systerm = False
open_on_firstrun = True
default/wdir/use_script_directory = True
open_at_least_once = False
default/interpreter/dedicated = False
default/wdir/fixed_directory = H:\TUTORIALS\Data Science & Analytics\Python

[dicteditor_header]
font/family = None

[profiler]
max_entries = 50
first_time = False

[pylint]
max_entries = 50
first_time = False
save_before = True

[breakpoints]
first_time = False

temp.py0000666000000000000000000000222112644374723010540 0ustar  00000000000000# -*- coding: utf-8 -*-
"""
Spyder Editor

This is a temporary script file.

CC	coordinating conjunction
CD	cardinal digit
DT	determiner
EX	existential there (like: "there is" ... think of it like "there exists")
FW	foreign word
IN	preposition/subordinating conjunction
JJ	adjective	'big'
JJR	adjective, comparative	'bigger'
JJS	adjective, superlative	'biggest'
LS	list marker	1)
MD	modal	could, will
NN	noun, singular 'desk'
NNS	noun plural	'desks'
NNP	proper noun, singular	'Harrison'
NNPS	proper noun, plural	'Americans'
PDT	predeterminer	'all the kids'
POS	possessive ending	parent's
PRP	personal pronoun	I, he, she
PRP$	possessive pronoun	my, his, hers
RB	adverb	very, silently,
RBR	adverb, comparative	better
RBS	adverb, superlative	best
RP	particle	give up
TO	to	go 'to' the store.
UH	interjection	errrrrrrrm
VB	verb, base form	take
VBD	verb, past tense	took
VBG	verb, gerund/present participle	taking
VBN	verb, past participle	taken
VBP	verb, sing. present, non-3d	take
VBZ	verb, 3rd person sing. present	takes
WDT	wh-determiner	which
WP	wh-pronoun	who, what
WP$	possessive wh-pronoun	whose
WRB	wh-abverb	where, when
"""template.py0000666000000000000000000000012112632545257011402 0ustar  00000000000000# -*- coding: utf-8 -*-
"""
Created on %(date)s

@author: %(username)s
"""
history.py0000666000000000000000000002005612664102623011270 0ustar  00000000000000print(result)
merged = pd.merge(train_raw,student, on='Student_ID')
len(merged)
len(raw_train)
len(train_raw)
train_raw = pd.read_csv("trainfiles/traincsv/train.csv")
internship = pd.read_csv("trainfiles/Internship/Internship.csv")
student = pd.read_csv("trainfiles/Student/student.csv")

merged = pd.merge(train_raw,student, on='Student_ID')
len(merged)
merged.to_csv(check.csv)
merged.to_csv('check.csv')
left = pd.DataFrame({'key': ['K0', 'K1', 'K2', 'K3'],
                         'A': ['A0', 'A1', 'A2', 'A3'],
                         'B': ['B0', 'B1', 'B2', 'B3']})

right = pd.DataFrame({'key': ['K0', 'K1', 'K2', 'K3','K4','K5'],
                       'A': ['C0', 'C1', 'C2', 'C3','C4','C5'],
                       'D': ['D0', 'D1', 'D2', 'D3','D4','D5']})


result = pd.merge(left, right, on='key')
left = pd.DataFrame({'key': ['K0', 'K1', 'K2', 'K3'],
                         'A': ['A0', 'A1', 'A2', 'A3'],
                         'B': ['B0', 'B1', 'B2', 'B3']})

right = pd.DataFrame({'key': ['K0', 'K1', 'K2', 'K3','K4','K5'],
                       'A': ['C0', 'C1', 'C2', 'C3','C4','C5'],
                       'D': ['D0', 'D1', 'D2', 'D3','D4','D5']})


result = pd.merge(left, right, on='key')

print(left)
print(right)
print(result)
student.columns
train_raw.columns
import pandas as pd
train_raw = pd.read_csv("trainfiles/traincsv/train.csv")
internship = pd.read_csv("trainfiles/Internship/Internship.csv")
student = pd.read_csv("trainfiles/Student/student.csv")
student = student.drop_duplicates()
len(student)
left = pd.DataFrame({'key': ['K0', 'K1', 'K2', 'K3'],
                         'A': ['A0', 'A1', 'A2', 'A3'],
                         'B': ['B0', 'B1', 'B2', 'B3']})

right = pd.DataFrame({'key': ['K0', 'K0', 'K2', 'K3','K4','K5'],
                       'A': ['C0', 'C1', 'C2', 'C3','C4','C5'],
                       'D': ['D0', 'D1', 'D2', 'D3','D4','D5']})


result = pd.merge(left, right, on='key')

print(left)
print(right)
print(result)
left = pd.DataFrame({'key': ['K0', 'K1', 'K2', 'K3'],
                         'A': ['A0', 'A1', 'A2', 'A3'],
                         'B': ['B0', 'B1', 'B2', 'B3']})

right = pd.DataFrame({'key': ['K0', 'K0', 'K2', 'K3','K4','K5'],
                       'C': ['C0', 'C1', 'C2', 'C3','C4','C5'],
                       'D': ['D0', 'D1', 'D2', 'D3','D4','D5']})


result = pd.merge(left, right, on='key')

print(left)
print(right)
print(result)
left = pd.DataFrame({'key': ['K0', 'K1', 'K2', 'K3'],
                         'A': ['A0', 'A1', 'A2', 'A3'],
                         'B': ['B0', 'B1', 'B2', 'B3']})

right = pd.DataFrame({'key': ['K0', 'K0', 'K2', 'K3','K1','K5'],
                       'C': ['C0', 'C1', 'C2', 'C3','C4','C5'],
                       'D': ['D0', 'D1', 'D2', 'D3','D4','D5']})


result = pd.merge(left, right, on='key')

print(left)
print(right)
print(result)
merged = pd.merge(train_raw,student, on='Student_ID')
len(merged)
train_raw = train_raw.drop_duplicates()
train_raw = pd.read_csv("trainfiles/traincsv/train.csv")
internship = pd.read_csv("trainfiles/Internship/Internship.csv")
student = pd.read_csv("trainfiles/Student/student.csv")
student = student.drop_duplicates()
train_raw = train_raw.drop_duplicates()
merged = pd.merge(train_raw,student, on='Student_ID',how='left')
len(merged)
student = student.drop_duplicates("Student_ID")
len(student)
import pandas as pd

train_raw = pd.read_csv("trainfiles/traincsv/train.csv")
internship = pd.read_csv("trainfiles/Internship/Internship.csv")
student = pd.read_csv("trainfiles/Student/student.csv")
student = student.drop_duplicates("Student_ID")

merged = pd.merge(train_raw,student, on='Student_ID',how='left')
len(merged)
len(train_raw)
internship.columns
merged = pd.merge(train_raw,internship,on='Internship_ID',how='left')
len(merged)
merged.columns()
merged.columns
len(merged.columns)
runfile('C:/Users/vatsal/OneDrive/Date_Your_Data/start.py', wdir='C:/Users/vatsal/OneDrive/Date_Your_Data')
len(merged.columns)
%clear
merged.dtypes
merged.to_csv('check.csv')
for num in range(len(merged)):
    if merged['Performance_PG'][num]!= 0:
        merged['Percentage_PG'][num] =  merged['Performance_PG'][num]/merged['PG_scale'][num]  
    else:
        merged['Percentage_PG'][num] = None
    if merged['Performance_UG'][num]!=0:
        merged['Percentage_UG'][num] = merged['Performance_UG'][num]/merged['UG_Scale'][num]  
    else:
       merged['Percentage_UG'][num] = None

import numpy as np
merged['Performance_PG'] = np.random.randn(len(merged))
merged['Performance_PG'] 
merged['Percentage_PG'] = np.random.randn(len(merged))
import pandas as pd
import numpy as np
#Reading the raw data files 
train_raw = pd.read_csv("trainfiles/traincsv/train.csv")
internship = pd.read_csv("trainfiles/Internship/Internship.csv")
student = pd.read_csv("trainfiles/Student/student.csv")
#Removing duplicates from the student file 
student = student.drop_duplicates("Student_ID")
#Merging all data to evaluate features and train the data 
merged = pd.merge(train_raw,student, on='Student_ID',how='left')
merged = pd.merge(merged,internship,on='Internship_ID',how='left')

len(merged.columns)
merged['Percentage_PG'] = np.random.randn(len(merged))
merged['Percentage_UG'] = np.random.randn(len(merged))

for num in range(len(merged)):
    if merged['Performance_PG'][num]!= 0:
        merged['Percentage_PG'][num] =  merged['Performance_PG'][num]/merged['PG_scale'][num]  
    else:
        merged['Percentage_PG'][num] = None
    if merged['Performance_UG'][num]!=0:
        merged['Percentage_UG'][num] = merged['Performance_UG'][num]/merged['UG_Scale'][num]  
    else:
       merged['Percentage_UG'][num] = None

merged.Percentage_PG = merged.Percentage_UG/100
%clear
import pandas as pd
import numpy as np
#Reading the raw data files 
train_raw = pd.read_csv("trainfiles/traincsv/train.csv")
internship = pd.read_csv("trainfiles/Internship/Internship.csv")
student = pd.read_csv("trainfiles/Student/student.csv")
#Removing duplicates from the student file 
student = student.drop_duplicates("Student_ID")
#Merging all data to evaluate features and train the data 
merged = pd.merge(train_raw,student, on='Student_ID',how='left')
merged = pd.merge(merged,internship,on='Internship_ID',how='left')

len(merged.columns)
merged.Percentage_PG = merged.Percentage_UG/100
import pandas as pd
import numpy as np
#Reading the raw data files 
train_raw = pd.read_csv("trainfiles/traincsv/train.csv")
internship = pd.read_csv("trainfiles/Internship/Internship.csv")
student = pd.read_csv("trainfiles/Student/student.csv")
#Removing duplicates from the student file 
student = student.drop_duplicates("Student_ID")
#Merging all data to evaluate features and train the data 
merged = pd.merge(train_raw,student, on='Student_ID',how='left')
merged = pd.merge(merged,internship,on='Internship_ID',how='left')

len(merged.columns)
merged.Percentage_PG = merged.Performance_PG/100
merged.Percentage_PG
runfile('C:/Users/vatsal/OneDrive/Date_Your_Data/start.py', wdir='C:/Users/vatsal/OneDrive/Date_Your_Data')
merged.columns[15]
merged.columns[14]
runfile('C:/Users/vatsal/OneDrive/Date_Your_Data/start.py', wdir='C:/Users/vatsal/OneDrive/Date_Your_Data')
merged.Percentage_UG
merged.Percentage_PG = merged.Performance_PG/merged.PG_scale
import pandas as pd
import numpy as np
#Reading the raw data files 
train_raw = pd.read_csv("trainfiles/traincsv/train.csv")
internship = pd.read_csv("trainfiles/Internship/Internship.csv")
student = pd.read_csv("trainfiles/Student/student.csv")
#Removing duplicates from the student file 
student = student.drop_duplicates("Student_ID")
#Merging all data to evaluate features and train the data 
merged = pd.merge(train_raw,student, on='Student_ID',how='left')
merged = pd.merge(merged,internship,on='Internship_ID',how='left')
merged.Percentage_PG = merged.Performance_PG/merged.PG_scale
merged
merged.columns
merged.Percentage_UG
merged.Percentage_PG
merged["Percentage_PG"]=merged.Percentage_PG
merged.Percentage_PG
%clearhistory_internal.py0000666000000000000000000000010412664013045013153 0ustar  00000000000000# -*- coding: utf-8 -*-
# *** Spyder Python Console History Log ***workingdir0000666000000000000000000000023512664023672011322 0ustar  00000000000000C:\Users\vatsal\OneDrive\Date_Your_Data
C:\Users\vatsal\OneDrive\Sentiment_Module_Twitter_1.1
H:\TUTORIALS\Data Science & Analytics\Python
C:\Users\vatsal