sergiobuj/0_data.csv

## 0_data.csv

          
            Week
            cat
            dog
            fish

            
              2012-01-01 - 2012-01-07
              56
              92
              59

            
              2012-01-08 - 2012-01-14
              59
              91
              56

            
              2012-01-15 - 2012-01-21
              55
              91
              56

            
              2012-01-22 - 2012-01-28
              56
              89
              54

            
              2012-01-29 - 2012-02-04
              58
              89
              55

            
              2012-02-05 - 2012-02-11
              60
              94
              54

            
              2012-02-12 - 2012-02-18
              56
              98
              54

            
              2012-02-19 - 2012-02-25
              58
              91
              58

            
              2012-02-26 - 2012-03-03
              59
              85
              54

            
              2012-03-04 - 2012-03-10
              56
              86
              56

            
              2012-03-11 - 2012-03-17
              54
              87
              54

            
              2012-03-18 - 2012-03-24
              54
              87
              55

            
              2012-03-25 - 2012-03-31
              55
              86
              56

            
              2012-04-01 - 2012-04-07
              57
              89
              59

            
              2012-04-08 - 2012-04-14
              54
              89
              54

            
              2012-04-15 - 2012-04-21
              55
              91
              55

            
              2012-04-22 - 2012-04-28
              57
              87
              56

            
              2012-04-29 - 2012-05-05
              61
              92
              57

            
              2012-05-06 - 2012-05-12
              57
              91
              56

            
              2012-05-13 - 2012-05-19
              55
              85
              57

            
              2012-05-20 - 2012-05-26
              54
              87
              56

            
              2012-05-27 - 2012-06-02
              54
              88
              56

            
              2012-06-03 - 2012-06-09
              57
              88
              56

            
              2012-06-10 - 2012-06-16
              55
              87
              55

            
              2012-06-17 - 2012-06-23
              55
              88
              56

            
              2012-06-24 - 2012-06-30
              57
              92
              57

            
              2012-07-01 - 2012-07-07
              55
              94
              56

            
              2012-07-08 - 2012-07-14
              58
              94
              59

            
              2012-07-15 - 2012-07-21
              58
              96
              57

            
              2012-07-22 - 2012-07-28
              58
              92
              56

            
              2012-07-29 - 2012-08-04
              56
              93
              55

            
              2012-08-05 - 2012-08-11
              57
              94
              55

            
              2012-08-12 - 2012-08-18
              58
              100
              55

            
              2012-08-19 - 2012-08-25
              58
              99
              56

            
              2012-08-26 - 2012-09-01
              59
              93
              54

            
              2012-09-02 - 2012-09-08
              59
              92
              57

            
              2012-09-09 - 2012-09-15
              58
              93
              53

            
              2012-09-16 - 2012-09-22
              59
              91
              52

            
              2012-09-23 - 2012-09-29
              61
              92
              52

            
              2012-09-30 - 2012-10-06
              59
              91
              52

            
              2012-10-07 - 2012-10-13
              59
              91
              51

            
              2012-10-14 - 2012-10-20
              58
              89
              50

            
              2012-10-21 - 2012-10-27
              64
              88
              51

            
              2012-10-28 - 2012-11-03
              62
              85
              47

            
              2012-11-04 - 2012-11-10
              57
              88
              46

            
              2012-11-11 - 2012-11-17
              60
              89
              48

            
              2012-11-18 - 2012-11-24
              61
              95
              48

            
              2012-11-25 - 2012-12-01
              64
              92
              49

            
              2012-12-02 - 2012-12-08
              65
              89
              49

            
              2012-12-09 - 2012-12-15
              66
              89
              48

            
              2012-12-16 - 2012-12-22
              63
              88
              48

            
              2012-12-23 - 2012-12-29
              67
              97
              54

            
              2012-12-30 - 2013-01-05
              63
              99
              58

## learning_cloning_matplotlib_0.ipynb

      
Display the source blob

    
Display the rendered blob

    
    Raw
  

              learning_cloning_matplotlib_0.ipynb
            
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## learning_cloning_matplotlib_1.ipynb
{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Learning by cloning with matplotlib -1-"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# An article from NPR.org shows a graph about most and least lucrative\n",
      "# college majors.\n",
      "# I will try to clone the part of the graph for the most lucrative majors.\n",
      "from IPython.core.display import Image\n",
      "Image(url=\"http://www.npr.org/news/graphics/2013/10/pm-top_lowest-624.gif\")\n",
      "# Image Source: Georgetown Center On Education And The Workforce\n",
      "# Credit: Quoctrung Bui / NPR"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<img src=\"http://www.npr.org/news/graphics/2013/10/pm-top_lowest-624.gif\"/>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 1,
       "text": [
        "<IPython.core.display.Image at 0x10468c790>"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<a href='http://www.npr.org/blogs/money/2013/10/22/239698749/the-most-and-least-lucrative-college-majors-in-2-graphs?ft=1&f=' target='_blank'>The Most And Least Lucrative College Majors, In 2 Graphs</a>\n",
      "Image Source: Georgetown Center On Education And The Workforce\n",
      "Credit: Quoctrung Bui / NPR"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Imports are the same as last time\n",
      "import matplotlib.pyplot as plt\n",
      "%matplotlib inline\n",
      "\n",
      "# this time I'm going to start with the ticks and labels\n",
      "majors = [('Electrical Engineering', 94),\n",
      "          ('Chemical Engineering', 95),\n",
      "          ('Naval Architecture And\\nMarine Engineering', 96),\n",
      "          ('Aerospace Engineering', 96),\n",
      "          ('Mathematics And\\nComputer Science', 98),\n",
      "          ('Pharmacology', 100),\n",
      "          ('Pharmaceutical Sciences\\nAnd Administration', 107),\n",
      "          ('Nuclear Engineering', 110),\n",
      "          ('Health And Medical\\nPreparatory Programs', 120),\n",
      "          ('Petroleum Engineering', 120)]\n",
      "\n",
      "xincome = [0, 20, 40, 60, 80, 100, 120]\n",
      "\n",
      "# create the figure\n",
      "fig, axis1 = plt.subplots(figsize=(9, 6), dpi=75)\n",
      "\n",
      "# set the Y ticks and set the limits of the graph\n",
      "plt.yticks(range(len(majors)), [ x[0] for x in majors ], size=11)\n",
      "plt.ylim((-0.5, 9.6))\n",
      "plt.xlim((0, 121))\n",
      "\n",
      "# set the X ticks\n",
      "plt.xticks(xincome)\n",
      "from matplotlib.ticker import FormatStrFormatter\n",
      "# This is a printf like formatter, I am using it to display extra zeros and a '$'\n",
      "currency_format = FormatStrFormatter('$%d,000')\n",
      "# ant tell it where to use apply it\n",
      "axis1.xaxis.set_major_formatter(currency_format)\n",
      "\n",
      "# draw the horizontal bars\n",
      "m_earnings = [mj[1] for mj in majors]\n",
      "container = plt.barh(range(len(majors)), m_earnings, height=0.7,\n",
      "                     align='center', color='#28546e')\n",
      "\n",
      "# write the value on each bar\n",
      "for bar in container:\n",
      "    x = int(bar.get_width())\n",
      "    y = bar.get_y() + bar.get_height()*.3\n",
      "    bar_text = str(\"$%s,000\" % bar.get_width())\n",
      "    axis1.text(x, y, bar_text, color='white',\n",
      "               ha='right', size=13)\n",
      "    \n",
      "# set the vertical grid along the x axis\n",
      "axis1.xaxis.grid(True, linestyle=':', which='major', color='grey', alpha=1)\n",
      "\n",
      "# name the graph\n",
      "plt.text(-47, 9.7, 'Majors With The Highest Earnings', size=14, weight='bold')\n",
      "\n",
      "# clean the spines\n",
      "axis1.spines['top'].set_visible(False)\n",
      "axis1.spines['right'].set_visible(False)\n",
      "axis1.yaxis.set_ticks_position('none') # This line is the best part!\n",
      "axis1.xaxis.set_ticks_position('none')\n",
      "\n",
      "# I realized that the first xtick is a 0\n",
      "plt.xticks(xincome[1:])\n",
      "# place the 0 just like any text since I could not override the formatter\n",
      "plt.text(0, -.87, '0')\n",
      "\n",
      "axis1.set_axisbelow(True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAtoAAAF5CAYAAAChjo3uAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQghRDSTRFkIIIYQQohr8P2qOT/6KPEvuAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x105f24210>"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# And just to make sure I can change the font family\n",
      "plt.text(0, 0, 'Majors With The Highest Earnings', size=20, weight='bold', family='fantasy')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 11,
       "text": [
        "<matplotlib.text.Text at 0x106097810>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAEACAYAAABI5zaHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n8gdrauSHAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x105ef6d90>"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Things missing:\n",
      " 1. The font family is not it. But I am happy knowing just how to change it.\n",
      "\n",
      "I like it.\n",
      "On a different subject, I made the code in one cell because you see what happen when I\n",
      "to break it, some times the graph won't appear and others it would simply start over, like\n",
      "in the last one.\n",
      "\n",
      "## Another thing missing:\n",
      " 1. figure out how to use the cells properly.\n",
      " \n",
      " \n",
      "sbuj"
     ]
    }
   ],
   "metadata": {}
  }
 ]
}

## learning_cloning_matplotlib_2.ipynb

      
Display the source blob

    
Display the rendered blob

    
    Raw
  

              learning_cloning_matplotlib_2.ipynb
            
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## learning_cloning_matplotlib_3.ipynb

      
Display the source blob

    
Display the rendered blob

    
    Raw
  

              learning_cloning_matplotlib_3.ipynb
            
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
Week	cat	dog	fish
2012-01-01 - 2012-01-07	56	92	59
2012-01-08 - 2012-01-14	59	91	56
2012-01-15 - 2012-01-21	55	91	56
2012-01-22 - 2012-01-28	56	89	54
2012-01-29 - 2012-02-04	58	89	55
2012-02-05 - 2012-02-11	60	94	54
2012-02-12 - 2012-02-18	56	98	54
2012-02-19 - 2012-02-25	58	91	58
2012-02-26 - 2012-03-03	59	85	54
2012-03-04 - 2012-03-10	56	86	56
2012-03-11 - 2012-03-17	54	87	54
2012-03-18 - 2012-03-24	54	87	55
2012-03-25 - 2012-03-31	55	86	56
2012-04-01 - 2012-04-07	57	89	59
2012-04-08 - 2012-04-14	54	89	54
2012-04-15 - 2012-04-21	55	91	55
2012-04-22 - 2012-04-28	57	87	56
2012-04-29 - 2012-05-05	61	92	57
2012-05-06 - 2012-05-12	57	91	56
2012-05-13 - 2012-05-19	55	85	57
2012-05-20 - 2012-05-26	54	87	56
2012-05-27 - 2012-06-02	54	88	56
2012-06-03 - 2012-06-09	57	88	56
2012-06-10 - 2012-06-16	55	87	55
2012-06-17 - 2012-06-23	55	88	56
2012-06-24 - 2012-06-30	57	92	57
2012-07-01 - 2012-07-07	55	94	56
2012-07-08 - 2012-07-14	58	94	59
2012-07-15 - 2012-07-21	58	96	57
2012-07-22 - 2012-07-28	58	92	56
2012-07-29 - 2012-08-04	56	93	55
2012-08-05 - 2012-08-11	57	94	55
2012-08-12 - 2012-08-18	58	100	55
2012-08-19 - 2012-08-25	58	99	56
2012-08-26 - 2012-09-01	59	93	54
2012-09-02 - 2012-09-08	59	92	57
2012-09-09 - 2012-09-15	58	93	53
2012-09-16 - 2012-09-22	59	91	52
2012-09-23 - 2012-09-29	61	92	52
2012-09-30 - 2012-10-06	59	91	52
2012-10-07 - 2012-10-13	59	91	51
2012-10-14 - 2012-10-20	58	89	50
2012-10-21 - 2012-10-27	64	88	51
2012-10-28 - 2012-11-03	62	85	47
2012-11-04 - 2012-11-10	57	88	46
2012-11-11 - 2012-11-17	60	89	48
2012-11-18 - 2012-11-24	61	95	48
2012-11-25 - 2012-12-01	64	92	49
2012-12-02 - 2012-12-08	65	89	49
2012-12-09 - 2012-12-15	66	89	48
2012-12-16 - 2012-12-22	63	88	48
2012-12-23 - 2012-12-29	67	97	54
2012-12-30 - 2013-01-05	63	99	58