Created
June 2, 2014 21:04
-
-
Save fdeheeger/666c9aee9d7f82a19dd7 to your computer and use it in GitHub Desktop.
seaborn and incomplete dataset
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
{ | |
"metadata": { | |
"name": "", | |
"signature": "sha256:7ec5cf697696796989a349898347d4900ccafc5da8d98de92b8dbadfd0469cc2" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ | |
"cell_type": "heading", | |
"level": 1, | |
"metadata": {}, | |
"source": [ | |
"Linear models with categorical data" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import sys\n", | |
"sys.path.insert(0, '/home/deheeger/Github/seaborn/')" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 1 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import numpy as np\n", | |
"import pandas as pd\n", | |
"import seaborn as sns\n", | |
"import matplotlib as mpl\n", | |
"import matplotlib.pyplot as plt\n", | |
"\n", | |
"%matplotlib inline" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 2 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"sns.set(style=\"whitegrid\")\n", | |
"np.random.seed(sum(map(ord, \"linear_categorical\")))" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 3 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"exercise = sns.load_dataset(\"exercise\")" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 4 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"exercise2 = pd.DataFrame(exercise)\n", | |
"to_be_dropped = (exercise2.kind == 'running') & (exercise2.diet == 'low fat')\n", | |
"exercise2 = exercise2[~to_be_dropped]" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 5 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"sns.factorplot(\"kind\", \"pulse\", \"diet\", exercise2, kind=\"point\");" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAAaIAAAFgCAYAAAD5K33QAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRETqm/8PMKLBxyH7UBoAAAAASUVORK5CYII=\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x4bc4a50>" | |
] | |
} | |
], | |
"prompt_number": 24 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"sns.factorplot(\"kind\", \"pulse\", row=\"diet\",data= exercise2, hue='kind',\n", | |
" kind=\"point\", size=2, aspect=3, );" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEYCAYAAAAJeGK1AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSUVORK5CYII=\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x4594c10>" | |
] | |
} | |
], | |
"prompt_number": 31 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"sns.factorplot(\"kind\", \"pulse\", row=\"diet\",data= exercise2, hue='kind',\n", | |
" kind=\"bar\", size=2, aspect=3, );" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEYCAYAAAAJeGK1AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x45a6c90>" | |
] | |
} | |
], | |
"prompt_number": 32 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"sns.factorplot(\"kind\", \"pulse\", row=\"diet\",data= exercise2, hue='kind',\n", | |
" kind=\"box\", size=2, aspect=3, flip_axes=True);" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEYCAYAAAAJeGK1AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nmZmZmdXS/wdyHat6pUmnhgAAAABJRU5ErkJggg==\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x4486990>" | |
] | |
} | |
], | |
"prompt_number": 34 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 13 | |
} | |
], | |
"metadata": {} | |
} | |
] | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment