03_Plotting.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# (Interactive) Plotting using Matplotlib and Seaborn\n",
    "\n",
    "[Matplotlib](http://matplotlib.org) is basic plotting library for Python inspired by Matlab. [Seaborn](http://stanford.edu/~mwaskom/software/seaborn) is built on top of it with integrated analysis and specialized plots + pretty good integration with Pandas\n",
    "\n",
    "Also see [the full gallery of Seaborn](http://stanford.edu/~mwaskom/software/seaborn/examples/index.html) or [Matplotlib](http://matplotlib.org/gallery.html).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#disable some annoying warning\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore', category=FutureWarning)\n",
    "\n",
    "#plots the figures in place instead of a new window\n",
    "%matplotlib inline\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car</th>\n",
       "      <th>mpg</th>\n",
       "      <th>cyl</th>\n",
       "      <th>disp</th>\n",
       "      <th>hp</th>\n",
       "      <th>drat</th>\n",
       "      <th>wt</th>\n",
       "      <th>qsec</th>\n",
       "      <th>vs</th>\n",
       "      <th>am</th>\n",
       "      <th>gear</th>\n",
       "      <th>carb</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Mazda RX4</td>\n",
       "      <td>21.0</td>\n",
       "      <td>6</td>\n",
       "      <td>160</td>\n",
       "      <td>110</td>\n",
       "      <td>3.90</td>\n",
       "      <td>2.620</td>\n",
       "      <td>16.46</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mazda RX4 Wag</td>\n",
       "      <td>21.0</td>\n",
       "      <td>6</td>\n",
       "      <td>160</td>\n",
       "      <td>110</td>\n",
       "      <td>3.90</td>\n",
       "      <td>2.875</td>\n",
       "      <td>17.02</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Datsun 710</td>\n",
       "      <td>22.8</td>\n",
       "      <td>4</td>\n",
       "      <td>108</td>\n",
       "      <td>93</td>\n",
       "      <td>3.85</td>\n",
       "      <td>2.320</td>\n",
       "      <td>18.61</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Hornet 4 Drive</td>\n",
       "      <td>21.4</td>\n",
       "      <td>6</td>\n",
       "      <td>258</td>\n",
       "      <td>110</td>\n",
       "      <td>3.08</td>\n",
       "      <td>3.215</td>\n",
       "      <td>19.44</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Hornet Sportabout</td>\n",
       "      <td>18.7</td>\n",
       "      <td>8</td>\n",
       "      <td>360</td>\n",
       "      <td>175</td>\n",
       "      <td>3.15</td>\n",
       "      <td>3.440</td>\n",
       "      <td>17.02</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 car   mpg  cyl  disp   hp  drat     wt   qsec  vs  am  gear  \\\n",
       "0          Mazda RX4  21.0    6   160  110  3.90  2.620  16.46   0   1     4   \n",
       "1      Mazda RX4 Wag  21.0    6   160  110  3.90  2.875  17.02   0   1     4   \n",
       "2         Datsun 710  22.8    4   108   93  3.85  2.320  18.61   1   1     4   \n",
       "3     Hornet 4 Drive  21.4    6   258  110  3.08  3.215  19.44   1   0     3   \n",
       "4  Hornet Sportabout  18.7    8   360  175  3.15  3.440  17.02   0   0     3   \n",
       "\n",
       "   carb  \n",
       "0     4  \n",
       "1     4  \n",
       "2     1  \n",
       "3     1  \n",
       "4     2  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#use a standard dataset of heterogenous data\n",
    "cars = pd.read_csv('data/mtcars.csv')\n",
    "cars.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scatterplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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UkLBeCQnrGZ4H4BdcVinLwb///ntNnz5dKSkpCg4O1j333KMJEyboo48+Uu3atRUVdf3+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\n0AYAwBCENgAAhiC0AQAwxP8DZVZlMJpUtZgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x8892b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x=cars['mpg'],y=cars['wt'])\n",
    "plt.xlabel('miles per gallon')\n",
    "plt.ylabel('weight')\n",
    "plt.title('MPG vs WT')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x88d3828>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x4538a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#integrated in pandas, too\n",
    "cars.plot(x='mpg',y='wt',kind='scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x90146d8>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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DwEAvSkqK4XBYJx0vHA7jjTdeR35+HhwOBxwOB86ePQubzYZIJIL29lbU1tZC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\nH/sjLVG7cxsBAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x9049860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cars.plot(kind='scatter', x='mpg',y='wt',c='hp',s=cars['cyl']*20,alpha=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xa093f60>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ESOFwoZdCIIwbxrzyo9Eo7rzzThiNRkiShAceeAAbNmzA/PnzsWnTJmzduhVz587Fli1b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\neDwej2fAeGXs8Xg8Hs+A+X/1IWP7yV5MUwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x4538a20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#what if we plot everything?\n",
    "cars.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xa1bc518>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0xa155240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cars['mpg'].hist(bins=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0xa259400>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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QIQYAwBAhBgDAECEGAMAQIQYAwBAhBgDAECEGAMAQIQYAwBAhBgDAECEGAMAQIQYAwBAh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\n6XSeCiCHDwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa2405c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(cars['mpg'],bins=5)\n",
    "plt.title('miles per gallon')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xa25e320>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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IyEu1wh8Q0doT3ve7EoUDljXNKc+oH3bHKJLiorh3dZjLS7swFc57rolCjWVN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\natYiIiIOp2YtIiLicL8Br1Ss14bKJT8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa2406d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#seaborn not just a histogram but also an kernel density enstimation and better default settings\n",
    "sns.distplot(cars['mpg'],bins=5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Box Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x8920f60>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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S0lLJ8eMT/rM1cApO6sT7wgsv5Lvf/W527tyZV155JatXr05LS0tmz56d3t7eVCqVmp/v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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa234b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#box plots\n",
    "cars['mpg'].plot(kind='box')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'boxes': [<matplotlib.lines.Line2D at 0xa38c588>],\n",
       " 'caps': [<matplotlib.lines.Line2D at 0xa395f28>,\n",
       "  <matplotlib.lines.Line2D at 0xa39a748>],\n",
       " 'fliers': [<matplotlib.lines.Line2D at 0xa39e668>],\n",
       " 'means': [],\n",
       " 'medians': [<matplotlib.lines.Line2D at 0xa39a9b0>],\n",
       " 'whiskers': [<matplotlib.lines.Line2D at 0xa38cf28>,\n",
       "  <matplotlib.lines.Line2D at 0xa395748>]}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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S0lLJ8eMT/rM1cApO6sT7wgsv5Lvf/W527tyZV155JatXr05LS0tmz56d3t7eVCqVmp/v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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa2fa0f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cars.boxplot('mpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xa353860>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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S6pUqA/uNN97QsWPHNGbMGEVFRcnhcKhjx44qKipSly5dVFhYqG7dqp9MUFJyLmAFhwM6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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa361550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#group by gear\n",
    "cars.boxplot('mpg', by='gear')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['continent', 'year', 'lifeExp', 'pop', 'gdpPercap'], dtype='object')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load gapminder again and select 2007\n",
    "gap = pd.read_csv('data/gapminder-unfiltered.tsv',index_col=0, sep='\\t')\n",
    "gap2007 = gap[gap.year == 2007]\n",
    "gap2007.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Log Scale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xa3aa080>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ERCQNztjmmFrHbjJgXFYok8kAAAaDwfTfYvzyyy+YPHkyPvjgA8jlcixatAhyuRz9+vVD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\nEUkckwEiIiKJ+/8HqOeC5YmJYAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa3d5390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gap2007.plot(kind='scatter', x='lifeExp',y='gdpPercap')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "unbalanced with outliers what about log scale?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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LnAGSLpxwTSWC6YfNLFmyRM8995waGhr06quvqrS0VA888ICKi4tjbiQAOF1O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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa47b5c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gap2007.plot(kind='scatter', x='lifeExp',y='gdpPercap')\n",
    "plt.yscale('log')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Grouping / Coloring Plots\n",
    "\n",
    "grouped by color?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAABGCAYAAABv7kdbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAAXxJREFUeJzt2C1KRFEAhuHr74aMdtswQdAVGMxiNVhlsmtQMAwDBrtR\nF6TIdQVOct4r4/PUw4EvvRzOzjiO4wBAYnfqAQD/iegChEQXICS6ACHRBQiJLkBobXQ/Pr+qHQBb\n4+L5/cez/XUXDw/2htnV8tcH/RWrxXw4e7icesbGPJ7fD6/z06lnbMzx8mm4vVpNPWMjbhaz4e3l\neuoZG3N0crc2TNvM9wJASHQBQqILEBJdgJDoAoREFyAkugAh0QUIiS5ASHQBQqILEBJdgJDoAoRE\nFyAkugAh0QUIiS5ASHQBQqILEBJdgJDoAoREFyAkugAh0QUIiS5ASHQBQqILEBJdgJDoAoREFyAk\nugAh0QUIiS5ASHQBQqILEBJdgJDoAoREFyAkugAh0QUIiS5ASHQBQqILEBJdgJDoAoREFyAkugAh\n0QUIiS5ASHQBQqILEBJdgJDoAoREFyC0M47jOPUIgP/CSxcgJLoAIdEFCIkuQEh0AUKiCxD6Bk1Q\nHlfTLgYXAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa565240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#create a color palette\n",
    "colors = sns.color_palette()\n",
    "sns.palplot(colors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0xa6a4390>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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3336DioqfsGjRq7h8+TJ27NiO1spXiKKIt99+EwsX/gFJScmOqfFAYZAmItlo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\n5uLaUpH813AAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa454f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#for each group create an own plot an overlay them\n",
    "for (name, group),color in zip(gap2007.groupby('continent'),colors):\n",
    "    plt.scatter(x=group['lifeExp'],y=group['gdpPercap'],label=name, c=color,s=30)\n",
    "plt.yscale('log')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xba7bba8>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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M1uiT9vTW3Ka1BH4AAAAAABqY3fCTTp+HLjAyMlLOoU09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\nwPxkDT65BoEfDT+tNWfg54Mf/GBETH+KZeYL3kJ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T58UJ7X2/8/YOMrFgtKJZ2ewhFRSyUdVatV1Wq1QS8F65zv+7oyf6WncV6S5KYbx5vx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\nz8fgYMGEHwAAgLMoFotRm5uJLMuaxxR+1ofCDwAkdPJkueUaAACA9IaHh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      "text/plain": [
       "<matplotlib.figure.Figure at 0xb78ff98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#playing with categories ... seaborn is pretty good with it\n",
    "plt.figure(figsize=(40,20))\n",
    "plt.subplot(121)\n",
    "sns.boxplot(x='continent',y='gdpPercap',data=gap)\n",
    "\n",
    "plt.subplot(122)\n",
    "sns.violinplot(x='continent',y='gdpPercap',data=gap2007)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0xb9deda0>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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N49QVVkaXiysEVEWB16PBq6sI+rkKT5SyUkjbOagNdDgva2cxMnEBZ6LnkLaL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\nkomIiIiIivx/r8UEUVpt8TQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb9de240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# or with linear regression\n",
    "\n",
    "anscombe = sns.load_dataset(\"anscombe\")\n",
    "sns.lmplot('x','y',col='dataset',hue='dataset', data=anscombe, col_wrap=2)\n",
    "#g = sns.FacetGrid(anscombe, col=\"dataset\", size=4, aspect=1)\n",
    "#g.map(sns.regplot, \"x\", \"y\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.matrix.ClusterGrid at 0xb86e588>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+/Pn53e9+l87Ozpx//vnZsmVLvvCFL2Tw4MH1Hr9HYg4A2C988IMfzKxZs3a67W/+5m92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\nK9XZmK0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb86e748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# or with structured heatmaps\n",
    "\n",
    "#compute the correlations and take a look at them\n",
    "corrmat = gap.corr()\n",
    "\n",
    "# draw a clustered heatmap using seaborn\n",
    "sns.clustermap(corrmat, square=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## TASK\n",
    "> create a scatterplot where \n",
    "> * x = lifeExp \n",
    "> * y = gdpPerCap\n",
    "> * color = continent\n",
    "> * size = pop \n",
    ">\n",
    "> label the axis appropiately and use a log scale for gdp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#your code"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interactive plots\n",
    "\n",
    "simple interaction is possible with IPython by default. That means whenever the user changes some parameter the visualization is recreated on the server side and send to the client. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from IPython.html.widgets import interact, interact_manual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello 50 True red\n"
     ]
    }
   ],
   "source": [
    "@interact(text='Hello', slider=(0,10),check=True,categories=['red','green','blue'])\n",
    "def react(text, slider,check,categories):\n",
    "    print(text,slider*10,check,categories)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "@interact_manual(text='Hello', slider=(0,10),check=True,categories=['red','green','blue'])\n",
    "def react(text, slider,check,categories):\n",
    "    print(text,slider*10,check,categories)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ppyd71Rzi8HV+9tln89vf/jZXXnllli9fnpdeeuk4z/Dkd/HFF+frX/96koP/q9aUKVPs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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xccfd0b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "@interact(bins=(5, 25, 5),color=['red','green','orange','blue'])\n",
    "def show_distplot(bins,color):\n",
    "    cars['mpg'].hist(bins=bins, color=color)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# custom build widgets:\n",
    "\n",
    "http://nbviewer.ipython.org/github/ipython/ipython/blob/3.x/examples/Interactive%20Widgets/Widget%20List.ipynb "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Accordion',\n",
       " 'BoundedFloatText',\n",
       " 'BoundedIntText',\n",
       " 'Box',\n",
       " 'Button',\n",
       " 'CallbackDispatcher',\n",
       " 'Checkbox',\n",
       " 'Color',\n",
       " 'Dropdown',\n",
       " 'FlexBox',\n",
       " 'FloatProgress',\n",
       " 'FloatRangeSlider',\n",
       " 'FloatSlider',\n",
       " 'FloatText',\n",
       " 'HBox',\n",
       " 'HTML',\n",
       " 'Image',\n",
       " 'IntProgress',\n",
       " 'IntRangeSlider',\n",
       " 'IntSlider',\n",
       " 'IntText',\n",
       " 'Latex',\n",
       " 'Output',\n",
       " 'RadioButtons',\n",
       " 'Select',\n",
       " 'SelectMultiple',\n",
       " 'Tab',\n",
       " 'Text',\n",
       " 'Textarea',\n",
       " 'ToggleButton',\n",
       " 'ToggleButtons',\n",
       " 'VBox']"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#hard core\n",
    "\n",
    "from IPython.html import widgets\n",
    "\n",
    "[widget for widget in dir(widgets) if not widget.endswith('Widget') and widget[0] == widget[0].upper() and widget[0] != '_']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0xcd07e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "@interact(bins=widgets.FloatTextWidget(value=5))\n",
    "def show_distplot(bins):\n",
    "    cars['mpg'].hist(bins=bins)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello 50.0 True red\n"
     ]
    }
   ],
   "source": [
    "text_widget = widgets.Textarea(value='Hello', description='text area')\n",
    "slider_widget = widgets.BoundedFloatText(5,min=0,max=10, description='slider area')\n",
    "check_widget = widgets.Checkbox(True,description=\"CheckboxWidget\")\n",
    "toggle = widgets.RadioButtons(options=['red','green','blue'], description=\"RadioButtonsWidget\")\n",
    "\n",
    "@interact(text=text_widget, slider=slider_widget,check=check_widget,categories=toggle)\n",
    "def react(text, slider,check,categories):\n",
    "    print(text,slider*10,check,categories)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "b = widgets.Button(description=\"Update\")\n",
    "checkbox = widgets.Checkbox(description=\"CheckboxWidget\")\n",
    "\n",
    "tab1_children = [b,\n",
    "                 checkbox,\n",
    "                 widgets.Dropdown(options=['A','B'], description=\"DropdownWidget\"),\n",
    "                 widgets.RadioButtons(options=['A','B'], description=\"RadioButtonsWidget\"),\n",
    "                 widgets.Select(options=['A','B'], description=\"SelectWidget\"),\n",
    "                 widgets.Text(description=\"TextWidget\"),\n",
    "                 widgets.Textarea(description=\"TextareaWidget\"),\n",
    "                 widgets.ToggleButton(description=\"ToggleButtonWidget\"),\n",
    "                 widgets.ToggleButtons(options=[\"Value 1\", \"Value2\"], description=\"ToggleButtonsWidget\"),\n",
    "                 ]\n",
    "\n",
    "tab2_children = [widgets.BoundedFloatText(description=\"BoundedFloatTextWidget\"),\n",
    "                 widgets.BoundedIntText(description=\"BoundedIntTextWidget\"),\n",
    "                 widgets.FloatSlider(description=\"FloatSliderWidget\"),\n",
    "                 widgets.FloatText(description=\"FloatTextWidget\"),\n",
    "                 widgets.IntSlider(description=\"IntSliderWidget\"),\n",
    "                 widgets.IntText(description=\"IntTextWidget\"),\n",
    "                 ]\n",
    "\n",
    "tab1 = widgets.Box(children=tab1_children)\n",
    "tab2 = widgets.Box(children=tab2_children)\n",
    "\n",
    "\n",
    "i = widgets.Accordion(children=[tab1, tab2])\n",
    "\n",
    "i.set_title(0,\"Basic Widgets\")\n",
    "i.set_title(1,\"Numbers Input\")\n",
    "\n",
    "from IPython.display import display\n",
    "\n",
    "def button_clicked(bb):\n",
    "    print(checkbox.value)\n",
    "    #TODO update plot\n",
    "\n",
    "b.on_click(button_clicked)\n",
    "\n",
    "display(i)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## TASK\n",
    "> make the plot from before interactive, such that you can slide the year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#your code"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Next\n",
    "\n",
    "[Machine Learning using Scikit Learn](04_MachineLearning.ipynb)"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
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    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.4.3"
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