sns-bug-ascii-0.7.ipynb

sns-bug-ascii-0.8dev.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x864e990>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1kAAADSCAYAAAC4ngq1AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x864eb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "data = sns.load_dataset('anscombe')\n",
    "data['dataset_unicode'] = data.dataset.map(lambda x: u'ÁéÍóÚ {0}'.format(x))\n",
    "g = sns.FacetGrid(data, col='dataset_unicode')\n",
    "g.map(plt.scatter, 'x', 'y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "data = sns.load_dataset('anscombe')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data.columns = ['data',u'Č', u'Ž']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x316b150>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAJEEAAADSCAYAAAAjQFH9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAAAAAAAAAGAz/g8UOqqQIwGZHgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x316b090>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.FacetGrid(data, col=u'Ž')\n",
    "g.map(plt.scatter, u'Č', u'Ž')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Installed watermark.py. To use it, type:\n",
      "  %load_ext watermark\n",
      "CPython 2.7.11\n",
      "IPython 4.1.1\n",
      "\n",
      "matplotlib 1.5.1\n",
      "seaborn 0.8.dev0\n",
      "\n",
      "compiler   : MSC v.1500 32 bit (Intel)\n",
      "system     : Windows\n",
      "release    : 8.1\n",
      "machine    : AMD64\n",
      "processor  : Intel64 Family 6 Model 60 Stepping 3, GenuineIntel\n",
      "CPU cores  : 8\n",
      "interpreter: 32bit\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\bin\\python\\anaconda\\lib\\site-packages\\IPython\\core\\magics\\extension.py:47: UserWarning: %install_ext` is deprecated, please distribute your extension as a python package.\n",
      "  \"as a python package.\", UserWarning)\n"
     ]
    }
   ],
   "source": [
    "%install_ext https://raw.githubusercontent.com/rasbt/watermark/master/watermark/watermark.py\n",
    "%load_ext watermark\n",
    "%watermark -vm -p matplotlib,seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}