cmos2014-python-tutorial.ipynb

{
 "metadata": {
  "celltoolbar": "Slideshow",
  "name": "",
  "signature": "sha256:5c2795ce87217aed8523d854d0cd67ec56820bdf51906ed657eee8706a089eed"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Necessary imports\n",
      "import os\n",
      "import re\n",
      "from datetime import datetime, timedelta\n",
      "from netCDF4 import Dataset\n",
      "import numpy as np\n",
      "import pandas as pd\n",
      "import matplotlib.pyplot as plt\n",
      "%matplotlib inline"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "skip"
      }
     },
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "Data handling and visualization using Python\n",
      "=============================================\n",
      "\n",
      "\n",
      "<span id=\"authors\">\n",
      "Oleksandr (Sasha) Huziy and Jonathan Doyle\n",
      "<span>\n",
      "\n",
      "\n",
      "CMOS, June 2014\n",
      "\n",
      "The presentation is available here: http://tinyurl.com/cmos2014\n",
      "\n",
      "<div class=\"logo\">\n",
      "        <a class=\"image\" href=\"http://python.org\"><img src=\"files/images/python-logo.gif\"/></a> \n",
      "        <a class=\"image\" href=\"http://www.cmos.ca/\"><img src=\"files/images/CMOS_logo.jpg\"/></a>\n",
      "        <a class=\"image\" href=\"http://cnrcwp.uqam.ca\"><img src=\"files/images/logo_2.png\"/></a> \n",
      "        <img src=\"files/images/crsng.png\"/> \n",
      "</div>"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "Outline part I\n",
      "========\n",
      "\n",
      "* **Python basics**\n",
      "\n",
      "    * IPython and basic python syntax\n",
      "    \n",
      "    * Builtin data types\n",
      "    \n",
      "    * Operations on file system, strings and dates\n",
      "    \n",
      "* **Libraries for scientific computing**\n",
      "\n",
      "    * NumPy/SciPy\n",
      "\n",
      "* **Handling NetCDF4 files**\n",
      "    \n",
      "    * Netcdf4-python"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "Introduction and history\n",
      "=====\n",
      "\n",
      "### Python is an interpreted, strictly typed programming language developed by *Guido Van Rossum*.\n",
      "\n",
      "### Python is a glue language that permits to tie together Fortran, C and C++ libraries and use their power in a comfort of the Python environment.\n",
      "\n",
      "### There many implementations of Python (in C, Java, Python, ...), CPython implementation is used most widely and we are going to use it during the tutorial.\n",
      "\n",
      "### Talk on Python history by Guido Van Rossum [here](http://www.youtube.com/watch?v=ugqu10JV7dk).\n",
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Some things I've done with python: lake level observations\n",
      "====="
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "* [View the demo](https://maps.google.com/maps?q=http://people.sca.uqam.ca/~huziy/mon.kml)\n",
      "\n",
      "* [View the source code](https://github.com/guziy/RPN/blob/master/src/google_maps/googlecharts.py)"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "More cool examples:\n",
      "===========\n",
      "\n",
      "* [matplotlib](http://matplotlib.org/gallery.html)\n",
      "* [Basemap](http://matplotlib.org/basemap/users/examples.html)\n",
      "* [Cartopy](http://scitools.org.uk/cartopy/docs/latest/gallery.html)\n",
      "* [PyNGL](http://www.pyngl.ucar.edu/Examples/gallery.shtml)\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "Syntax \n",
      "======="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Variable decalaration <-This is a comment\n",
      "a = 10; b = \"climate\"; x = None;\n",
      "\n",
      "x = [1,2,4, 5, \"I am a fifth element\"]\n",
      "#looping\n",
      "for el in x:\n",
      "    #Checking conditions\n",
      "    if isinstance(el, int):\n",
      "        print(el ** 2 % 10),\n",
      "    else:\n",
      "        msg = \", but my index is {0}.\"\n",
      "        msg = msg.format(x.index(el))\n",
      "        print(el + msg),\n",
      "\n",
      "#now we are outside of the loop since no identation\n",
      "print \"\\nSomething ...\""
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "1 4 6 5 I am a fifth element, but my index is 4. \n",
        "Something ...\n"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Syntax \n",
      "======="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#accessing elements of a list\n",
      "x[3], x[-1], x[1:-1]"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "(5, 'I am a fifth element', [2, 4, 5])"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "##Defining functions"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def myfirst_func(x, name = \"Default value of the parameter name\"):\n",
      "    \"\"\"\n",
      "    This is the comment describing method \n",
      "    arguments and what it actually does\n",
      "    x - dummy argument that demonstrates \n",
      "    use of positional arguments\n",
      "    name - demonstrates use of keyword arguments\n",
      "    \"\"\"\n",
      "    print \"Hello {0} !!!\".format(name)\n",
      "    return x"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "##Calling functions"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Calling the function myfirst_func\n",
      "myfirst_func(\"anything\", name = \"Not default name\"); "
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Hello Not default name !!!\n"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Python basics - code hierarchy\n",
      "==============\n",
      "\n",
      "+ Each python file is a python module, it can contain function and class definitions\n",
      "\n",
      "\n",
      "+ A folder with python files and a file ```__init__.py``` (might be empty file) is called package. Different packages and modules arelinked using ```import ```statement."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Exercises on basic syntax\n",
      "=====\n",
      "\n",
      "* Create a script `hello.py` in your favourite editor and add a function say_hello with a keyword argument name, which prints \"hello --value of the parameter name--\". \n",
      "    Run it: ``` python hello.py ```\n",
      "\n",
      "* Use the function say_hello in another module. (i.e create file use_hello.py and call the say_hello function from there)\n",
      "\n",
      "* What will this code print:\n",
      "\n",
      "``` \n",
      "    print 5/2\n",
      "```"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "Builtin data containers\n",
      "=============\n",
      "##Python provides the following data structures. Which are actually classes with attributes and methods.\n",
      "\n",
      "* `list` (range, *, +, pop, len, accessing list elements, slices, last element, 5 last elements)\n",
      "  \n",
      "* `tuple` (not mutable, methods)\n",
      "\n",
      "* `dict` (accessing elements, keys, size)\n",
      "\n",
      "* `set` (set theoretical operations, cannot have 2 equal elements)"
     ]
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Builtin data containers (lists)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#lists (you can conactenate and sort in place)\n",
      "the_list = [1,2,3,4,5]; other_list = 5 * [6];\n",
      "print the_list + other_list"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[1, 2, 3, 4, 5, 6, 6, 6, 6, 6]\n"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Test if a number is inside a list\n",
      "print 19 in the_list, 5 in the_list, (6 in the_list and 6 in other_list)"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "False True False\n"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Builtin data containers (lists)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#square eleaments of a list\n",
      "#list comprehension\n",
      "print [the_el ** 2 for the_el in the_list] "
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[1, 4, 9, 16, 25]\n"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Generating list or iterable of integers\n",
      "print range(1,20)"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Builtin data containers (lists)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "the_list = [3,6,78,9,0,32,13]\n",
      "##There are some utility functions that can be applied to lists\n",
      "the_list.sort(reverse = True)\n",
      "print the_list"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[78, 32, 13, 9, 6, 3, 0]\n"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#loop through several lists at the same time\n",
      "for el1, el2 in zip(the_list, other_list):\n",
      "    print(el1+el2),"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "84 38 19 15 12\n"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Builtin data containers (dictionary)\n",
      "====="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#dictionary\n",
      "author_to_books = { \n",
      "\"Stephen King\": \n",
      "    [\"Carrie\",\"On writing\",\"Green Mile\"],\n",
      "\n",
      "\"Richard Feynman\": \n",
      "    [\"Lectures on computation\", \n",
      "     \"The pleasure of finding things out\"]\n",
      "}\n",
      "#add elements to a dictionary\n",
      "author_to_books[\"Andrey Kolmogorov\"] = \\\n",
      "        [\"Foundations Of The Theory Of Prob...\"]"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Builtin data containers (dictionary)\n",
      "====="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#print the list of authors\n",
      "print author_to_books.keys()"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "['Stephen King', 'Richard Feynman', 'Andrey Kolmogorov']\n"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Iterate over keys and values\n",
      "for author, book_list in author_to_books.iteritems():\n",
      "    suffix = \"s\" if len(book_list) > 1 else \"\"\n",
      "    print(\"{0} book{1} by {2};\\n\".format(len(book_list), suffix, author)),"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "3 books by Stephen King;\n",
        "2 books by Richard Feynman;\n",
        "1 book by Andrey Kolmogorov;\n"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Exercises: builtin containers\n",
      "======"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "source": [
      "* Find a sum of squares of all odd integers that are smaller than 100 in one line of code (Hint: use list comprehensions)\n",
      "\n",
      "* Check what this statement prints\n",
      "\n",
      "```\n",
      "    print 10 * [18,]\n",
      "```\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "Modules and classes to operate on\n",
      "==============\n",
      "\n",
      "\n",
      "* File system (```os, shutil, sys```)\n",
      "\n",
      "    * create folder, list folder contents, check if file or folder exists \n",
      "\n",
      "* Strings (+, *, join, split, regular expressions) \n",
      "\n",
      "* Dates (datetime, timedelta, ) "
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "#File system"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import os\n",
      "#print current directory\n",
      "print os.getcwd()"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "/home/san/Python/CMOS-python-tutorial\n"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "#File system"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#get list of files in the current directory\n",
      "flist = os.listdir(\".\")\n",
      "print flist[:7]"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "['test.nc', 'custom.css', 'norm.daily.nao.index.b500101.current.ascii', 'images', 'default_transition.tpl', 'countries', 'monthly_mean_qc_0.1_1979_05_PR.rpn.nc']\n"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "#File system"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Check if file exists\n",
      "fname = flist[0]\n",
      "print fname,\":\", os.path.isfile(fname), \\\n",
      "      os.path.isdir(fname),  \\\n",
      "      os.path.islink(fname)"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "test.nc : True False False\n"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "You might also find useful the following modules: `sys, shutil, path` "
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "#Strings"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "s = \"climate\"\n",
      "#reverse (also works for lists)\n",
      "print s[-1::-1]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "etamilc\n"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Dynamically changing parts of a string (for left right justification use '>', '<')\n",
      "tpl = \"Formatting floats: {0:.3f};\\nformatting integers: {1:05d};\\nformatting dates: {2: %Y-%m-%d %H:%M}\"\n",
      "print tpl.format(789.3342353554, 32, datetime.now())"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Formatting floats: 789.334;\n",
        "formatting integers: 00032;\n",
        "formatting dates:  2014-06-03 11:46\n"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "#Strings"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Splitting\n",
      "s = \"This,is,a,sentence\"\n",
      "s_list = s.split(\",\")\n",
      "print s_list"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "['This', 'is', 'a', 'sentence']\n"
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "#Strings"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#joining a list of strings\n",
      "list_of_fruits = [\"apple\", \"banana\", \"cherry\"]\n",
      "x =   \"\"\"\n",
      "        I would like to eat \n",
      "        {0}. \n",
      "        And by the way I am a multiline string.\n",
      "      \"\"\"\n",
      "print x.format(\" or \".join(list_of_fruits))"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "        I would like to eat \n",
        "        apple or banana or cherry. \n",
        "        And by the way I am a multiline string.\n",
        "      \n"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "#Strings: regular expressions"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#regular expressions module\n",
      "import re\n",
      "msg = \"Find 192, numbers 278: and -7 and do smth w 89\"\n",
      "groups = re.findall(r\"-?\\d+\", msg)\n",
      "print groups \n",
      "print [float(el) for el in groups] #convert strings to floats"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "['192', '278', '-7', '89']\n",
        "[192.0, 278.0, -7.0, 89.0]\n"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#regular expressions module\n",
      "groups = re.findall(r\"-?\\d+/\\d+|-?\\d+\\.\\d+|-?\\.?\\d+|-?\\d+\\.?\", \"Find 192.28940, -2/3 numbers 278: and -7 and .005 w 89,fh.5 -354.\")\n",
      "print groups"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "skip"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "['192.28940', '-2/3', '278', '-7', '.005', '89', '.5', '-354']\n"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "# Dates"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#What time is it\n",
      "from datetime import datetime\n",
      "d = datetime.now(); print d"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2014-06-03 11:46:53.104595\n"
       ]
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#hours and minutes\n",
      "d.strftime(\"%H:%M\"), d.strftime(\"%Hh%Mmin\")"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 25,
       "text": [
        "('11:46', '11h46min')"
       ]
      }
     ],
     "prompt_number": 25
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "# Dates: How long is the CMOS 2014?"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "start_date = datetime(2014, 6, 1, 8, 30)\n",
      "end_date = datetime(2014, 6, 5, 17)\n",
      "print end_date - start_date"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "4 days, 8:30:00\n"
       ]
      }
     ],
     "prompt_number": 26
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#you can mutiply the interval by an integer\n",
      "print (end_date - start_date) * 2"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "8 days, 17:00:00\n"
       ]
      }
     ],
     "prompt_number": 27
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "You can generate dates for timeseries with arbitrary steps\n",
      "===="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from datetime import timedelta\n",
      "dt = timedelta(days = 5, hours = 6, minutes = 25)\n",
      "d0 = datetime(2005, 4, 23)\n",
      "[str(d0 + i * dt) for i in range(10)]"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 28,
       "text": [
        "['2005-04-23 00:00:00',\n",
        " '2005-04-28 06:25:00',\n",
        " '2005-05-03 12:50:00',\n",
        " '2005-05-08 19:15:00',\n",
        " '2005-05-14 01:40:00',\n",
        " '2005-05-19 08:05:00',\n",
        " '2005-05-24 14:30:00',\n",
        " '2005-05-29 20:55:00',\n",
        " '2005-06-04 03:20:00',\n",
        " '2005-06-09 09:45:00']"
       ]
      }
     ],
     "prompt_number": 28
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "You can use calendar module for different convenience functions with dates\n",
      "=====\n",
      "Example: how many days in a given month in 3001?\n",
      "----"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import calendar\n",
      "for month in range(1, 13):\n",
      "    weekday_of_last_day, ndays = calendar.monthrange(3001, month)\n",
      "    print ndays,"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "31 28 31 30 31 30 31 31 30 31 30 31\n"
       ]
      }
     ],
     "prompt_number": 29
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Exercises: Operations with strings, dates and file system\n",
      "======\n",
      "* Check what this statement prints\n",
      "\n",
      "```\n",
      "    print 5 * \"123\"\n",
      "```\n",
      "\n",
      "\n",
      "* Count the number of files and number of folders in your home or in the current directory.\n",
      "\n",
      "* Get the sum of digits (not numbers) in the sentence below using module `re`. \n",
      "    \n",
      "    **This is a 78 sentence very confusing (1) which might change232 so you need to 346 automate the procedure of extracting the /21e893/ useful information from here10.21?**\n",
      "    \n",
      "    \n",
      "* Figure out on which day of week you were born (see the `calendar` module), you can have fun by determining on which day of week you'll have your next birthday.\n",
      "\n",
      "* Assume you have a timeseries of length 10000. You know that it starts on 2009-01-02 at 18:00 and the time step is 17 hours 25 minutes, what is the date and time corresponding to the last point of the timeseries."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "NumPy\n",
      "========\n",
      "The library for fast manipulations with big arrays that fit into memory."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np\n",
      "#Creating a numpy array from list\n",
      "np_arr = np.asarray([253,1.9,23, 4, 3.5,6,7,86, 18.9, 10, 89, 99])\n",
      "print np_arr\n",
      "print np_arr + 1\n",
      "print np_arr ** 2\n",
      "print np_arr + 5 * np_arr"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[ 253.     1.9   23.     4.     3.5    6.     7.    86.    18.9   10.    89.\n",
        "   99. ]\n",
        "[ 254.     2.9   24.     5.     4.5    7.     8.    87.    19.9   11.    90.\n",
        "  100. ]\n",
        "[  6.40090000e+04   3.61000000e+00   5.29000000e+02   1.60000000e+01\n",
        "   1.22500000e+01   3.60000000e+01   4.90000000e+01   7.39600000e+03\n",
        "   3.57210000e+02   1.00000000e+02   7.92100000e+03   9.80100000e+03]\n",
        "[ 1518.     11.4   138.     24.     21.     36.     42.    516.    113.4\n",
        "    60.    534.    594. ]\n"
       ]
      }
     ],
     "prompt_number": 30
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "NumPy\n",
      "========"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Reshape\n",
      "np_arr.shape = (3,4)\n",
      "print np_arr"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[[ 253.     1.9   23.     4. ]\n",
        " [   3.5    6.     7.    86. ]\n",
        " [  18.9   10.    89.    99. ]]\n"
       ]
      }
     ],
     "prompt_number": 31
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#sum along a specified dimension, here \n",
      "print np_arr.sum(axis = 1)"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[ 281.9  102.5  216.9]\n"
       ]
      }
     ],
     "prompt_number": 32
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Numpy\n",
      "====="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#create prefilled arrays\n",
      "the_zeros = np.zeros((3,9))\n",
      "the_ones = np.ones((3,9))\n",
      "\n",
      "print the_zeros\n",
      "print 20 * \"-\"\n",
      "print the_ones"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[[ 0.  0.  0.  0.  0.  0.  0.  0.  0.]\n",
        " [ 0.  0.  0.  0.  0.  0.  0.  0.  0.]\n",
        " [ 0.  0.  0.  0.  0.  0.  0.  0.  0.]]\n",
        "--------------------\n",
        "[[ 1.  1.  1.  1.  1.  1.  1.  1.  1.]\n",
        " [ 1.  1.  1.  1.  1.  1.  1.  1.  1.]\n",
        " [ 1.  1.  1.  1.  1.  1.  1.  1.  1.]]\n"
       ]
      }
     ],
     "prompt_number": 33
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Numpy provides many vectorized functions to efficiently operate on arrays\n",
      "====="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print np.sin(np_arr)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[[ 0.99482373  0.94630009 -0.8462204  -0.7568025 ]\n",
        " [-0.35078323 -0.2794155   0.6569866  -0.92345845]\n",
        " [ 0.05042269 -0.54402111  0.86006941 -0.99920683]]\n"
       ]
      }
     ],
     "prompt_number": 34
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print np.where(np_arr == np_arr.min()) # <--- indices of the minimum value"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(array([0]), array([1]))\n"
       ]
      }
     ],
     "prompt_number": 35
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "You can mask arrays easily (and the plotting library will recognize your masking)\n",
      "====="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "masked_np_arr = np.ma.masked_where(np_arr > np.percentile(np_arr, 75), np_arr)\n",
      "print masked_np_arr"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[[-- 1.9 23.0 4.0]\n",
        " [3.5 6.0 7.0 86.0]\n",
        " [18.9 10.0 -- --]]\n"
       ]
      }
     ],
     "prompt_number": 36
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Numpy: fancy indexing\n",
      "====="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "arr = np.random.randn(3,5)\n",
      "print \"Sum of positive numbers: \", arr[arr > 0].sum()\n",
      "\n",
      "print \"Sum over (-0.1 <= arr <= 0.1): \", \\\n",
      "       arr[(arr >= -0.1) & (arr <= 0.1)].sum()\n",
      "\n",
      "print \"Sum over (-0.1 > arr) or (arr > 0.1): \", \\\n",
      "       arr[(arr < -0.1) | (arr > 0.1)].sum()"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Sum of positive numbers:  6.8404118145\n",
        "Sum over (-0.1 <= arr <= 0.1):  0.266469379688\n",
        "Sum over (-0.1 > arr) or (arr > 0.1):  2.70743084734\n"
       ]
      }
     ],
     "prompt_number": 37
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Exercises: Numpy\n",
      "=====\n",
      "\n",
      "* Generate a 10 x 3 array of random numbers. Count the number of positive and negative elements.\n",
      "* Checkout numpy for MATLAB users transition [table](http://wiki.scipy.org/NumPy_for_Matlab_Users)."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "SciPy packages\n",
      "=======\n",
      "\n",
      "* `scipy.constants` - Physical and mathematical constants \n",
      "* `scipy.fftpack` - Fourier transform \n",
      "* `scipy.integrate` - Integration routines \n",
      "* `scipy.interpolate` - Interpolation \n",
      "* `scipy.io` - Data input and output\n",
      "* `scipy.linalg` - Linear algebra routines\n",
      "* `scipy.ndimage` - n-dimensional image package\n",
      "* `scipy.optimize` - Optimization\n",
      "* `scipy.signal` - Signal processing \n",
      "* `scipy.sparse` -  Sparse matrices\n",
      "* `scipy.spatial` -  Spatial data structures and algorithms\n",
      "* `scipy.special` -  Any special mathematical functions\n",
      "* `scipy.stats` -  Statistics\n",
      "\n",
      "And more ...\n",
      "\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "SciPy: ttest example\n",
      "======="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from scipy import stats\n",
      "#generating random variable samples for different distributions\n",
      "x1 = stats.norm.rvs(loc = 50, scale = 20, size=100)\n",
      "x2 = stats.norm.rvs(loc=5, scale = 20, size=100)\n",
      "print stats.ttest_ind(x1, x2)"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(array(15.8159876819801), 5.7192898309091044e-37)\n"
       ]
      }
     ],
     "prompt_number": 38
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "x1 = stats.norm.rvs(loc = 50, scale = 20, size=100)\n",
      "x2 = stats.norm.rvs(loc=45, scale = 20, size=100)\n",
      "print stats.ttest_ind(x1, x2)"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(array(2.349865878759723), 0.019764571331336866)\n"
       ]
      }
     ],
     "prompt_number": 39
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "SciPy: integrate a function\n",
      "=====\n",
      "$$\n",
      "\\int\\limits_{-\\infty}^{+\\infty} e^{-x^2}dx \\;=\\; ?\n",
      "$$"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from scipy import integrate"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 40
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def the_func(x):\n",
      "    return np.exp(-x ** 2)\n",
      "print integrate.quad(the_func, -np.Inf, np.inf)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(1.7724538509055159, 1.4202636780944923e-08)\n"
       ]
      }
     ],
     "prompt_number": 41
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print \"Exact Value sqrt(pi) = {0} ...\".format(np.pi ** 0.5)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Exact Value sqrt(pi) = 1.77245385091 ...\n"
       ]
      }
     ],
     "prompt_number": 42
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "Netcdf4-python\n",
      "=================\n",
      "##The python module that for reading and writing NetCDF files in python, created by *Jeff Whitaker*. \n",
      "##Requires installation of C libraries:\n",
      "\n",
      "* **NetCDF4**\n",
      "\n",
      "* **HDF5**\n",
      "\n",
      "\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "#Netcd4-python\n",
      "\n",
      "## Below is the example of creating a netcdf file using the **netcdf4-python** library."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from netCDF4 import Dataset\n",
      "file_name = \"test.nc\"\n",
      "if os.path.isfile(file_name):\n",
      "    os.remove(file_name)\n",
      "    \n",
      "#open the file for writing, you can Also specify format=\"NETCDF4_CLASSIC\" or \"NETCDF3_CLASSIC\"\n",
      "#The format is NETCDF4 by default\n",
      "ds = Dataset(file_name, mode=\"w\")"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [],
     "prompt_number": 43
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Netcdf4-python: create dimensions\n",
      "=========="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ds.createDimension(\"x\", 20)\n",
      "ds.createDimension(\"y\", 20)\n",
      "ds.createDimension(\"time\", None)"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 44,
       "text": [
        "<netCDF4.Dimension at 0x46b55f0>"
       ]
      }
     ],
     "prompt_number": 44
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Netcdf4-python: create variables\n",
      "=========="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "var1 = ds.createVariable(\"field1\", \"f4\", (\"time\", \"x\", \"y\"))\n",
      "var2 = ds.createVariable(\"field2\", \"f4\", (\"time\", \"x\", \"y\"))\n",
      "\n",
      "#add netcdf attributes\n",
      "var1.units = \"m/s\"\n",
      "var1.long_name = \"zonal wind speed\""
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [],
     "prompt_number": 45
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "#Write data to the file"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#generate random data and tell to the program where it should go\n",
      "data = np.random.randn(10, 20, 20)\n",
      "var1[:] = data\n",
      "var2[:] = 10 * data + 10\n",
      "#actually write data to the disk\n",
      "ds.close();"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 46
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%bash\n",
      "#check the file header:\n",
      "ncdump -h test.nc"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "netcdf test {\n",
        "dimensions:\n",
        "\tx = 20 ;\n",
        "\ty = 20 ;\n",
        "\ttime = UNLIMITED ; // (10 currently)\n",
        "variables:\n",
        "\tfloat field1(time, x, y) ;\n",
        "\t\tfield1:units = \"m/s\" ;\n",
        "\t\tfield1:long_name = \"zonal wind speed\" ;\n",
        "\tfloat field2(time, x, y) ;\n",
        "}\n"
       ]
      }
     ],
     "prompt_number": 47
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Netcdf4-python: reading a netcdf file\n",
      "==============\n",
      "\n",
      "Open the netcdf file for reading:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from netCDF4 import Dataset\n",
      "ds = Dataset(\"test.nc\")"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [],
     "prompt_number": 48
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Select variables of interest: no data loading happens at this point\n",
      "======"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#what variables are in the file\n",
      "print ds.variables.keys()\n",
      "\n",
      "#now data is a netcdf4 Variable object, which contain only links to the data\n",
      "data1_var = ds.variables[\"field1\"]\n",
      "data2_var = ds.variables[\"field2\"]\n",
      "#You can query dimensions and shapes of the variables\n",
      "print data1_var.dimensions, data1_var.shape"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[u'field1', u'field2']\n",
        "(u'time', u'x', u'y') (10, 20, 20)\n"
       ]
      }
     ],
     "prompt_number": 49
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Read data from the netcdf file for corresponding variables and time steps\n",
      "=========="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#now we ask to really read the data into the memory\n",
      "all_data = data1_var[:]\n",
      "#print all_data.shape\n",
      "data1 = data1_var[1,:,:]\n",
      "data2 = data2_var[2,:,:]\n",
      "print data1.shape, all_data.shape, all_data.mean(axis = 0).mean(axis = 0).mean(axis = 0)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(20, 20) (10, 20, 20) -0.0148158\n"
       ]
      }
     ],
     "prompt_number": 50
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "Outline part II\n",
      "========\n",
      "\n",
      "* **Plotting libraries**\n",
      "\n",
      "    * Matplotlib\n",
      "\n",
      "    * Basemap\n",
      "    \n",
      "* **Grouping and subsetting temporal data with ```pandas```**    \n",
      "\n",
      "* **Interpolation using ```cKDTree``` (```KDTree```) class**\n",
      "\n",
      "* **Speeding up your code**"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "Matplotlib\n",
      "============\n",
      "\n",
      "##The module for creating publication quality plots (mainly 2D), created by *John Hunter*.\n",
      "\n",
      "##[Matplotlib gallery](http://matplotlib.org/gallery.html)\n",
      "\n",
      "\n",
      "An alternative is PyNGL - a wrapper around NCL developed at NCAR.\n",
      "\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Let us draw the data we just saved to the netcdf file.\n",
      "====\n",
      "\n",
      "Do necessary imports and create configuration objects."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import matplotlib.pyplot as plt\n",
      "from matplotlib.colors import BoundaryNorm\n",
      "from matplotlib import cm\n",
      "\n",
      "levels = [-30,-10, -3,-1,0,1,3,10,30,40]\n",
      "bn = BoundaryNorm(levels, len(levels) - 1)\n",
      "cmap = cm.get_cmap(\"jet\", len(levels) - 1);"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 51
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Matplotlib: Preparations and options\n",
      "======="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#\n",
      "font_size = 20\n",
      "params = {\n",
      "        'xtick.labelsize': font_size,\n",
      "        'ytick.labelsize': font_size,\n",
      "        'figure.figsize' : (9, 3)\n",
      "}\n",
      "plt.rcParams.update(params) #set back font size to the default value\n",
      "\n",
      "def apply_some_formatting(axes, im):\n",
      "    axes[1].set_yticks([])\n",
      "    #format colorbar axes\n",
      "    cax = axes[2]\n",
      "    cax.set_aspect(20) \n",
      "    cax.set_anchor(\"W\")\n",
      "    cb = plt.colorbar(im2, cax = cax);"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [],
     "prompt_number": 52
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Matplotlib: plotting 2 fields with nonlinear and shared colorbar\n",
      "============"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fig, axes = plt.subplots(nrows=1, ncols=3)\n",
      "im1 = axes[0].contourf(data1.transpose(), \n",
      "                       levels = levels, \n",
      "                       norm = bn, cmap = cmap)\n",
      "im2 = axes[1].contourf(data2.transpose(), \n",
      "                       levels = levels, \n",
      "                       norm = bn, cmap = cmap)\n",
      "apply_some_formatting(axes, im2)"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAb4AAADWCAYAAACuXedqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x46b8e10>"
       ]
      }
     ],
     "prompt_number": 53
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Execises: Matplotlib\n",
      "=============\n",
      "\n",
      "* Reproduce the panel plot given in the example. (Try different [colormaps](http://matplotlib.org/examples/color/colormaps_reference.html))\n",
      "\n",
      "* Plot a timeseries of daily random data. (Show only month names as Jan, Feb, .. along the x-axis, make sure the labels do not overlap)\n",
      "\n",
      "* Plot CRU temperatures using contourf and pcolormesh. The file can be downloaded from [here](http://scaweb.sca.uqam.ca/~huziy/example_data/mean_temp_cru.nc)."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "Pandas\n",
      "====\n",
      "\n",
      "* ## Initially designed to process and analyse long timeseries\n",
      "\n",
      "\n",
      "* ## Author: *Wes McKinney*\n",
      "\n",
      "* ## Home page: [pandas.pydata.org](http://pandas.pydata.org/) "
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Download and analyse teleconnection indexes\n",
      "======\n",
      "For pandas 1D examples we will load, plot and correlate different teleconnection indices ([source](http://www.cpc.ncep.noaa.gov/products/precip/CWlink/daily_ao_index/teleconnections.shtml))."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Set name to link mapping\n",
      "name_to_link = {\n",
      "\"AAO\" : \"ftp://ftp.cpc.ncep.noaa.gov/cwlinks/norm.daily.aao.index.b790101.current.ascii\",\n",
      "\"AO\" : \"ftp://ftp.cpc.ncep.noaa.gov/cwlinks/norm.daily.ao.index.b500101.current.ascii\",\n",
      "\"NAO\" : \"ftp://ftp.cpc.ncep.noaa.gov/cwlinks/norm.daily.nao.index.b500101.current.ascii\",\n",
      "\"PNA\" : \"ftp://ftp.cpc.ncep.noaa.gov/cwlinks/norm.daily.pna.index.b500101.current.ascii\"\n",
      "}"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "outputs": [],
     "prompt_number": 54
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Define a helper download function\n",
      "======"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def download_link(url, local_path):\n",
      "    if os.path.isfile(local_path):\n",
      "        return\n",
      "    \n",
      "    import urllib2\n",
      "    s = urllib2.urlopen(url)\n",
      "    with open(local_path, \"wb\") as local_file:\n",
      "        local_file.write(s.read())   "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 55
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Download data locally if needed\n",
      "for name, link in name_to_link.iteritems():\n",
      "    fname = os.path.basename(link)\n",
      "    if not os.path.isfile(fname):\n",
      "        download_link(link, fname)"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "outputs": [],
     "prompt_number": 56
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Read data into memory\n",
      "import pandas as pd\n",
      "df_list = []\n",
      "for name, link in name_to_link.iteritems():\n",
      "    fname = os.path.basename(link)\n",
      "    dfi = pd.DataFrame.from_csv(fname, sep = r\"\\s+\", index_col=[0,1,2], parse_dates=False)\n",
      "    dfi.columns = [name]\n",
      "    dfi = dfi.select(lambda t: \"*\" not in t[2]) # because some data is like: 2003  4 30*******\n",
      "    dfi.index = dfi.index.map(lambda t: [int(ti) for ti in t])\n",
      "    dfi.index = dfi.index.map(lambda t: datetime(*t))\n",
      "    df_list.append(dfi)\n",
      "df = pd.concat(df_list, axis = 1)\n",
      "df = df.dropna()\n",
      "df.head(3) #The periods "
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>PNA</th>\n",
        "      <th>AAO</th>\n",
        "      <th>NAO</th>\n",
        "      <th>AO</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>1979-01-02</th>\n",
        "      <td>-0.319</td>\n",
        "      <td>-0.888</td>\n",
        "      <td>-0.838</td>\n",
        "      <td>-1.623</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1979-01-03</th>\n",
        "      <td>-0.561</td>\n",
        "      <td> 0.255</td>\n",
        "      <td>-0.538</td>\n",
        "      <td>-1.922</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1979-01-04</th>\n",
        "      <td>-0.479</td>\n",
        "      <td> 0.862</td>\n",
        "      <td>-0.225</td>\n",
        "      <td>-1.180</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 57,
       "text": [
        "              PNA    AAO    NAO     AO\n",
        "1979-01-02 -0.319 -0.888 -0.838 -1.623\n",
        "1979-01-03 -0.561  0.255 -0.538 -1.922\n",
        "1979-01-04 -0.479  0.862 -0.225 -1.180"
       ]
      }
     ],
     "prompt_number": 57
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Plot the timeseries\n",
      "====== "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df.plot();"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAiIAAADbCAYAAABQtvrSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nbkQ4HA6Hw+GIxv8AWGppUAi0YxwAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x264bc10>"
       ]
      }
     ],
     "prompt_number": 58
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "On separate panels\n",
      "====== "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "axes = df.plot(subplots=True, figsize=(10,6), yticks=[-4, 0, 4], lw = 0.5, \n",
      "               style = [\"g\", \"r\", \"b\", \"k\"]);"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAloAAAFyCAYAAAAtTHQsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x5866210>"
       ]
      }
     ],
     "prompt_number": 59
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "What about correlations\n",
      "====== "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df.corr()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>PNA</th>\n",
        "      <th>AAO</th>\n",
        "      <th>NAO</th>\n",
        "      <th>AO</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>PNA</th>\n",
        "      <td> 1.000000</td>\n",
        "      <td>-0.007499</td>\n",
        "      <td> 0.036017</td>\n",
        "      <td>-0.159892</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>AAO</th>\n",
        "      <td>-0.007499</td>\n",
        "      <td> 1.000000</td>\n",
        "      <td> 0.049362</td>\n",
        "      <td> 0.048930</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>NAO</th>\n",
        "      <td> 0.036017</td>\n",
        "      <td> 0.049362</td>\n",
        "      <td> 1.000000</td>\n",
        "      <td> 0.552575</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>AO</th>\n",
        "      <td>-0.159892</td>\n",
        "      <td> 0.048930</td>\n",
        "      <td> 0.552575</td>\n",
        "      <td> 1.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 60,
       "text": [
        "          PNA       AAO       NAO        AO\n",
        "PNA  1.000000 -0.007499  0.036017 -0.159892\n",
        "AAO -0.007499  1.000000  0.049362  0.048930\n",
        "NAO  0.036017  0.049362  1.000000  0.552575\n",
        "AO  -0.159892  0.048930  0.552575  1.000000"
       ]
      }
     ],
     "prompt_number": 60
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Plot monthly mean indices\n",
      "====== "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df_monthly = df.groupby(by = lambda d: datetime(d.year, d.month, 15)).mean()\n",
      "df_monthly.hist(figsize=(10, 6), sharex = True, sharey = True);"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAmgAAAGDCAYAAACfhOyVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ncwkzrPbJAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x58e6510>"
       ]
      }
     ],
     "prompt_number": 61
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Exercises: Pandas\n",
      "====== \n",
      "\n",
      "* Using the data in the examples calculate monthly climatologies of the indices and plot them. See if the correlations are different for the climatological values.\n",
      "\n",
      "* Further reading: usually we want do time selecting, grouping, merging on 3D or 4D fields. It is also possible with pandas (Checkout Panel data container)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas as pd\n",
      "from matplotlib.dates import DateFormatter\n",
      "df_monthclim = df.groupby(by = lambda d: datetime(2001, d.month, 15)).mean()\n",
      "df_monthclim.plot(lw=2)\n",
      "ax = plt.gca()\n",
      "ax.xaxis.set_major_formatter(DateFormatter(\"%b\"))\n",
      "print df_monthclim.corr()"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "skip"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "          PNA       AAO       NAO        AO\n",
        "PNA  1.000000  0.392216  0.836360 -0.485964\n",
        "AAO  0.392216  1.000000  0.124929 -0.604202\n",
        "NAO  0.836360  0.124929  1.000000 -0.348045\n",
        "AO  -0.485964 -0.604202 -0.348045  1.000000\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAjUAAADXCAYAAADiBqA4AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x58e6550>"
       ]
      }
     ],
     "prompt_number": 62
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "# Basemap\n",
      "## The author is Jeff Whitaker.  \n",
      "## Basemap code is available on [github](https://github.com/matplotlib/basemap).\n",
      "\n",
      "## Example [gallery](http://matplotlib.org/basemap/users/examples.html).\n",
      "\n",
      "PyNGL - can be used as an alternative."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "# The usual workflow with the library:\n",
      "\n",
      "\n",
      "* **Create a basemap object**\n",
      "```\n",
      "basemap = Basemap(projection=\"...\", ...)\n",
      "```\n",
      "\n",
      "\n",
      "* **Draw your field using:** \n",
      "```\n",
      "basemap.contour(), basemap.contourf(), \n",
      "basemap.pcolormesh()\n",
      "```\n",
      "\n",
      "* **It provides utility functions to draw coastlines, meridians and shapefiles (only those that contain lat/lon coordinates), mask ocean points.**\n",
      "\n",
      "* **Drawing the colorbar is as easy as:**\n",
      "```\n",
      "basemap.colorbar(img)\n",
      "```    \n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "# Basemap\n",
      "Can be used for nice map backgrounds"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from mpl_toolkits.basemap import Basemap\n",
      "b = Basemap()\n",
      "fig, (ax1, ax2) = plt.subplots(1,2)\n",
      "\n",
      "b.warpimage(ax = ax1, scale = 0.1); \n",
      "im = b.etopo(ax = ax2, scale = 0.1); "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAgQAAACACAYAAAB0vHFxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x5c50190>"
       ]
      }
     ],
     "prompt_number": 63
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "# Basemap: display model results in rotated lat/lon projection"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "f_name = \"monthly_mean_qc_0.1_1979_05_PR.rpn.nc\"\n",
      "base_url = \"http://scaweb.sca.uqam.ca/~huziy/example_data\"\n",
      "#Fetch the file if it is not there\n",
      "url = os.path.join(base_url, f_name)\n",
      "download_link(url, f_name)\n",
      "\n",
      "#read the file and check what is inside\n",
      "ds_pr = Dataset(f_name)\n",
      "print ds_pr.variables.keys()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[u'rlon', u'rlat', u'level', u'time', u'lon', u'lat', u'rotated_pole', u'preacc']\n"
       ]
      }
     ],
     "prompt_number": 64
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Read data from the NetCDF file\n",
      "===="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "rotpole = ds_pr.variables[\"rotated_pole\"]\n",
      "lon = ds_pr.variables[\"lon\"][:]\n",
      "lat = ds_pr.variables[\"lat\"][:]\n",
      "data = ds_pr.variables[\"preacc\"][:].squeeze()\n",
      "#rotpole.ncattrs(); - returns a list of netcdf attributes of a variable\n",
      "print rotpole.grid_north_pole_latitude, \\\n",
      "      rotpole.grid_north_pole_longitude, \\\n",
      "      rotpole.north_pole_grid_longitude"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "37.8787 106.65 176.709\n"
       ]
      }
     ],
     "prompt_number": 65
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Creating a basemap object for the data\n",
      "======"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "lon_0 = rotpole.grid_north_pole_longitude - 180\n",
      "o_lon_p = rotpole.north_pole_grid_longitude\n",
      "o_lat_p = rotpole.grid_north_pole_latitude\n",
      "b = Basemap(projection=\"rotpole\", \n",
      "            lon_0=lon_0, \n",
      "            o_lon_p = o_lon_p, \n",
      "            o_lat_p = o_lat_p,\n",
      "            llcrnrlon = lon[0, 0], \n",
      "            llcrnrlat = lat[0, 0],\n",
      "            urcrnrlon = lon[-1, -1], \n",
      "            urcrnrlat = lat[-1, -1], \n",
      "            resolution=\"l\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 66
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Converting to the projection coordinates and back to geographic coordinates\n",
      "======="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#(lat, lon) -> (x, y)\n",
      "x, y = b(lon, lat)\n",
      "\n",
      "#(x,y) -> (lat, lon)\n",
      "loninv, latinv = b(x, y, inverse=True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 67
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Define plotting function to reuse\n",
      "=====\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def plot_data(x, y, data, ax):\n",
      "    im = b.contourf(x, y, data, ax = ax)\n",
      "    b.colorbar(im, ax = ax)\n",
      "    b.drawcoastlines(linewidth=0.5);"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 68
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Plot the data\n",
      "====="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fig, (ax1, ax2) = plt.subplots(1,2)\n",
      "#plot data as is\n",
      "plot_data(x, y, data, ax1)\n",
      "#mask small values\n",
      "to_plot = np.ma.masked_where(data <= 2, data) \n",
      "plot_data(x, y, to_plot, ax2)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAe0AAADICAYAAADFornKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nVFRUVFTyCKpoq6ioqKio5BH+D6wR3Ew/o3YSAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x4cf9790>"
       ]
      }
     ],
     "prompt_number": 69
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Masking oceans is as easy as\n",
      "====="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from mpl_toolkits.basemap import maskoceans\n",
      "lon1 = lon.copy()\n",
      "lon1[lon1 > 180] = lon1[lon1 > 180] - 360\n",
      "data_no_ocean = maskoceans(lon1, lat, data)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 70
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Plot masked field\n",
      "====="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fig, ax = plt.subplots(1,1)\n",
      "plot_data(x, y, data_no_ocean, ax)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAO4AAADICAYAAADvG90JAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nXQAAAAFJREFUFDLiqZUAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x64a2c90>"
       ]
      }
     ],
     "prompt_number": 71
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "# Basemap: plotting wind field (read and convert units)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "download_link(\"http://scaweb.sca.uqam.ca/~huziy/example_data/wind.nc\", \"wind.nc\")\n",
      "ds_wind = Dataset(\"wind.nc\")\n",
      "u = ds_wind.variables[\"UU\"][:]\n",
      "v = ds_wind.variables[\"VV\"][:]\n",
      "coef_wind = 0.51444444444 #m/s in one knot\n",
      "ds_wind.close()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 72
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "# Basemap: plotting wind field"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fig = plt.figure()\n",
      "fig.set_size_inches(6,8)\n",
      "Q = b.quiver(x[::8, ::8], y[::8, ::8], \n",
      "             u[::8, ::8] * coef_wind, v[::8, ::8] * coef_wind)\n",
      "# make quiver key.\n",
      "qk = plt.quiverkey(Q, 0.35, 0.1, 5, '5 m/s', labelpos='N',\n",
      "                   coordinates = \"figure\", \n",
      "                   fontproperties = dict(weight=\"bold\"))\n",
      "b.drawcoastlines(linewidth = 0.1);\n",
      "plt.savefig(\"wind.png\");"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAAFdCAYAAACgiL63AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x4ccb810>"
       ]
      }
     ],
     "prompt_number": 73
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "# Basemap: plotting wind field (saved image, the legend is not cropped)\n",
      "<img src=\"files/images/wind.jpeg\"/>"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Exercises: Basemap\n",
      "====="
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\n",
      "* Plot the CRU temperatures ([here](http://scaweb.sca.uqam.ca/~huziy/example_data/mean_temp_cru.nc)) map using basemap.\n",
      "\n",
      "* Plot fields `preacc` and `air` from [here](http://scaweb.sca.uqam.ca/~huziy/example_data/wm201_Arctic_JJA_1990-2008_moyenneDesMoyennes.nc) using basemap. Add meridians and parallels as well as rivers to the map. Use subplots to put the plots side by side.\n",
      "\n",
      "* Plot field `preacc` from [here](http://scaweb.sca.uqam.ca/~huziy/example_data/pm1989010100_00000498p_0.44deg_africa_PR.nc)."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "# Basemap: reading and visualizing shape files (Download data)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from urllib2 import urlopen\n",
      "import re, os"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "skip"
      }
     },
     "outputs": [],
     "prompt_number": 74
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#download the shape files directory\n",
      "local_folder = \"countries\"\n",
      "remote_folder = 'http://scaweb.sca.uqam.ca/~huziy/example_data/countries/'\n",
      "if not os.path.isfile(local_folder+\"/cntry00.shp\"):\n",
      "    urlpath = urlopen(remote_folder)\n",
      "    string = urlpath.read().decode('utf-8')\n",
      "    pattern = re.compile(r'cntry00\\....\"')\n",
      "    filelist = pattern.findall(string)\n",
      "    filelist = [s[:-1] for s in filelist if not s.endswith('zip\"')]\n",
      "    \n",
      "    if not os.path.isdir(local_folder):\n",
      "        os.mkdir(local_folder)\n",
      "    for fname in filelist:\n",
      "        f_path = os.path.join(local_folder, fname)\n",
      "        remote_f_path = os.path.join(remote_folder, fname)\n",
      "        #download selected files\n",
      "        download_link(remote_f_path, f_path)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 75
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "# Basemap: reading and visualizing shape files"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "bworld = Basemap()\n",
      "shp_file = os.path.join(local_folder, \"cntry00\")\n",
      "ncountries, _, _, _, linecollection = bworld.readshapefile(shp_file, \"country\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAAC1CAYAAAD86CzsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x65b6710>"
       ]
      }
     ],
     "prompt_number": 76
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Reading country polygons (and attributes) from the shape file, necessary imports \n",
      "====="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import fiona\n",
      "from matplotlib.collections import PatchCollection\n",
      "from shapely.geometry import MultiPolygon, shape\n",
      "from matplotlib.patches import Polygon\n",
      "import shapely\n",
      "import matplotlib.cm as cm"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 77
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Reading country polygons (and attributes) from the shape file, preparations \n",
      "====="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cmap_shape = cm.get_cmap(\"Greens\", 10)\n",
      "bounds = np.arange(0, 1.65, 0.15) * 1e9\n",
      "bn_shape = BoundaryNorm(bounds, len(bounds) - 1)\n",
      "\n",
      "bworld = Basemap()\n",
      "populations = []; patches = []\n",
      "\n",
      "def to_mpl_poly(shp_poly, apatches): \n",
      "    a = np.asarray(shp_poly.exterior)\n",
      "    x, y = bworld(a[:, 0], a[:, 1])\n",
      "    apatches.append(Polygon(zip(x, y)))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 78
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Reading country polygons (and attributes) from the shape file, preparations \n",
      "====="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "with fiona.open('countries/cntry00.shp', 'r') as inp:\n",
      "    for f in inp:\n",
      "        the_population = f[\"properties\"][\"POP_CNTRY\"]\n",
      "        sh = shape(f['geometry'])\n",
      "        \n",
      "        if isinstance(sh, shapely.geometry.Polygon):\n",
      "            to_mpl_poly(sh, patches)\n",
      "            populations.append(the_population)\n",
      "        elif isinstance(sh, shapely.geometry.MultiPolygon):\n",
      "            for sh1 in sh.geoms:\n",
      "                to_mpl_poly(sh1, patches)\n",
      "                populations.append(the_population)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 79
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Coloring the countries based on the attribute value\n",
      "========="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from matplotlib.ticker import ScalarFormatter\n",
      "sf = ScalarFormatter(useMathText=True)\n",
      "fig = plt.figure(); ax = fig.add_subplot(111)\n",
      "pcol = PatchCollection(patches, cmap = cmap_shape, norm = bn_shape)\n",
      "pcol.set_array(np.array(populations))\n",
      "ax.add_collection(pcol)\n",
      "cb = bworld.colorbar(pcol, ticks = bounds, format = sf)\n",
      "cb.ax.yaxis.get_offset_text().set_position((-2,0))\n",
      "bworld.drawcoastlines(ax = ax, linewidth = 0);"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAaUAAADXCAYAAAC6T07QAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x9589790>"
       ]
      }
     ],
     "prompt_number": 80
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Exercise: shape files\n",
      "======\n",
      "\n",
      "* There is a [script](http://scaweb.sca.uqam.ca/~huziy/example_data/fiona_test.py) which is supposed to plot world population but it contains a bug. Copy it to your working directory and try to fix the bug. Try launching it and see if the produced image is correct."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "cKDTree\n",
      "======\n",
      "\n",
      "* Is a class defined in ```scipy.spatial``` package.  \n",
      "\n",
      "* Alternatives: ```pyresample``` and ```basemap.interp```"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "cKDTree - workflow\n",
      "======\n",
      "\n",
      "##1. Convert all lat/lon coordinates to Cartesian coordinates\n",
      "<pre class=\"co\">\n",
      "    (xs, ys, zs) #correspond to coordinates of the source grid\n",
      "    (xt, yt, zt) #coordinates of the target grid\n",
      "    #All x,y,z - are flattened 1d arrays  \n",
      "</pre>\n",
      "\n",
      "##2. Create a cKDTree object representing source grid\n",
      "<pre class=\"co\">\n",
      "    tree = cKDTree(data = zip(xs, ys, zs))\n",
      "</pre>"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "cKDTree - workflow\n",
      "======\n",
      "## 3. Query indices of the nearest target cells and distances to the corresponding source cells\n",
      "\n",
      "<pre class=\"co\">\n",
      "dists, inds = tree.query(zip(xt, yt, zt), k = 1)\n",
      "#k = 1, means find 1 nearest point\n",
      "</pre>\n",
      "\n",
      "## 4. Get interpolated data (and reshape it to 2D)\n",
      "\n",
      "<pre class=\"co\">\n",
      "data_target = data_source[inds].reshape(lon_target.shape)\n",
      "</pre>"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "cKDTree\n",
      "======\n",
      "\n",
      "* For an example usage of ```cKDTree```, please read my post at [earthpy.org](http://earthpy.org/interpolation_between_grids_with_ckdtree.html) \n",
      "\n",
      "\n",
      "* There is a folowup to that post about ```pyresample``` [here](http://earthpy.org/interpolation_between_grids_with_pyresample.html)."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "cKDTree: exercise\n",
      "======\n",
      "\n",
      "* Interpolate CRU temperatures to the model grid, use inverse distance weighting for intepolation from 20 nearest points.\n",
      "\n",
      "    $$\n",
      "    T_t = \\frac{\\sum_{i=1}^{20}w_i T_{s,i}}{\\sum_{i=1}^{20}w_i}\n",
      "    $$ \n",
      "\n",
      "    where $w_i = 1/d_i^2$, $d_i$ - is the distance between corresponding source and target grid points.\n",
      "    Grid longitudes and latitudes are defined in this [file](http://scaweb.sca.uqam.ca/~huziy/example_data/wind.nc). The observation temperature field is [here](http://scaweb.sca.uqam.ca/~huziy/example_data/mean_temp_cru.nc)."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "Speeding up your code\n",
      "=====\n",
      "\n",
      "* Avoid loops and try to make use of Numpy/Scipy/Pandas functionality as much as possible\n",
      "* If you have a lot of computations the speedup can be achieved by delegating the computations to the NumExpr module.\n",
      "* You can use Cython to compile libraries to get C-like speed.\n",
      "* Use multiprocessing module if the tasks are fairly independent and cannot be solved using the above methods"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Multiprocessing example\n",
      "===="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from multiprocessing import Pool\n",
      "\n",
      "def func(x):\n",
      "    return x ** 2\n",
      "\n",
      "p1 = Pool(processes=1)\n",
      "p2 = Pool(processes=2)\n",
      "\n",
      "nums = np.arange(100000)"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [],
     "prompt_number": 81
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Tests of performance gain by using 2 processes instead of 1\n",
      "----"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%timeit \n",
      "\n",
      "p1.map(func, nums)"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "1 loops, best of 3: 1.29 s per loop\n"
       ]
      }
     ],
     "prompt_number": 82
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%timeit \n",
      "\n",
      "p2.map(func, nums)"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "1 loops, best of 3: 996 ms per loop\n"
       ]
      }
     ],
     "prompt_number": 83
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Squaring example using Numpy\n",
      "==="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%timeit\n",
      "sq = nums ** 2"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "-"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "10000 loops, best of 3: 123 \u00b5s per loop\n"
       ]
      }
     ],
     "prompt_number": 84
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Squaring example using NumExpr\n",
      "==="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numexpr as ne\n",
      "print ne.detect_number_of_cores()\n",
      "print ne.evaluate(\"nums ** 2\")[:5]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2\n",
        "[ 0  1  4  9 16]\n"
       ]
      }
     ],
     "prompt_number": 85
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%timeit\n",
      "ne.evaluate(\"nums ** 2\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "10000 loops, best of 3: 165 \u00b5s per loop\n"
       ]
      }
     ],
     "prompt_number": 86
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ne.set_num_threads(1)"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "skip"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 87,
       "text": [
        "2"
       ]
      }
     ],
     "prompt_number": 87
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%timeit\n",
      "ne.evaluate(\"nums**2\")"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "skip"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "10000 loops, best of 3: 152 \u00b5s per loop\n"
       ]
      }
     ],
     "prompt_number": 88
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Squaring example using cythonized function\n",
      "==="
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%load_ext cythonmagic"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 89
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%cython\n",
      "def square_list(the_list):\n",
      "    cdef list result = []\n",
      "    cdef int i\n",
      "    app_meth = result.append\n",
      "    for i in the_list:\n",
      "        app_meth(i ** 2)\n",
      "    return result"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 90
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%timeit\n",
      "square_list(nums)"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "100 loops, best of 3: 15.2 ms per loop\n"
       ]
      }
     ],
     "prompt_number": 91
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%timeit \n",
      "[i ** 2 for i in nums]"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "10 loops, best of 3: 126 ms per loop\n"
       ]
      }
     ],
     "prompt_number": 92
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "Resources\n",
      "=========\n",
      "\n",
      "* Python: [http://www.python.org/](http://www.python.org/)\n",
      "* IPython: [http://ipython.org/](http://ipython.org/)\n",
      "* NumPy: [http://www.numpy.org/](http://www.numpy.org/) - there is a page NumPy for MATLAB users, might be useful for those familiar with MATLAB.\n",
      "* SciPy: [http://www.scipy.org/](http://www.scipy.org/)\n",
      "* [Scipy lectures](http://scipy-lectures.github.io/)\n",
      "* Scientific python lectures: [http://scipy-lectures.github.io/](http://scipy-lectures.github.io/)\n",
      "* Matplotlib: [http://matplotlib.org/](http://matplotlib.org/)\n",
      "* Scitools (iris and cartopy): [http://scitools.org.uk/index.html](http://scitools.org.uk/index.html)"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "Resources\n",
      "=========\n",
      "\n",
      "* NetCDF4: [http://netcdf4-python.googlecode.com/svn/trunk/docs/netCDF4-module.html](http://netcdf4-python.googlecode.com/svn/trunk/docs/netCDF4-module.html)\n",
      "* Basemap: [http://matplotlib.org/basemap/](http://matplotlib.org/basemap/)\n",
      "* [Notebook on shape files](http://nbviewer.ipython.org/github/mqlaql/geospatial-data/blob/master/Geospatial-Data-with-Python.ipynb)\n",
      "* My favourite python IDE: [Pycharm](http://www.jetbrains.com/pycharm/), you might also checkout many other like Eclipse, Netbeans, Spyder...\n",
      "* On creating presentations using IPython and a lot of other things: [Damian Avilla's blog](http://www.damian.oquanta.info/index.html)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#from IPython.display import HTML\n",
      "\n",
      "#s = open(\"custom.css\").read()\n",
      "#s = \"<style>\" + s + \"</style>\"\n",
      "#HTML(s)"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "outputs": [],
     "prompt_number": 93
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 93
    }
   ],
   "metadata": {}
  }
 ]
}