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@kforeman
Created February 3, 2017 03:10
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20170202 Two regression plots example.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import seaborn as sns\n",
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"sns.set(style='whitegrid')"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"df = pd.read_csv('metab_bmi_sdi_sev.csv')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# note: must drop missing values for kde to work\n",
"df = df.dropna()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def plot_two_distributions(df1, df2, title='', xvar='sdi', yvar='sev'):\n",
" # find axis ranges\n",
" ymin = np.min([df1[yvar].min(), df2[yvar].min()])\n",
" ymax = np.max([df1[yvar].max(), df2[yvar].max()])\n",
" xmin = np.min([df1[xvar].min(), df2[xvar].min()])\n",
" xmax = np.max([df1[xvar].max(), df2[xvar].max()])\n",
" \n",
" # create figure with two subplots\n",
" f = plt.subplots(1, 2, sharex=True, sharey=True, figsize=(15,7))\n",
" \n",
" # draw kdeplots in the subplots\n",
" p1 = sns.kdeplot(df1[xvar], df1[yvar], ax=f[1][0], cmap='Blues', shade=True, shade_lowest=False)\n",
" p2 = sns.kdeplot(df2[xvar], df2[yvar], ax=f[1][1], cmap='Blues', shade=True, shade_lowest=False)\n",
" \n",
" # add the regression lines\n",
" sns.regplot(xvar, yvar, data=df1, ax=p1, scatter=False, color='red')\n",
" sns.regplot(xvar, yvar, data=df2, ax=p2, scatter=False, color='red')\n",
" \n",
" # add titles and labels\n",
" p1.set_ylabel('SEV ARC', size=14)\n",
" p2.set_ylabel('')\n",
" p1.set_xlabel('SDI ARC', size=14)\n",
" p2.set_xlabel('SDI ARC', size=14)\n",
" p1.set_title('1990-2015', size=18)\n",
" p2.set_title('2015-2040', size=18)\n",
" f[0].suptitle(title, size=24)\n",
" \n",
" # return the figure\n",
" return f"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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XQjt3VkJSUqvcXoRADgAABIS1oEBmbq4SLBYZvoRxdrv0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2ZV3EBRMQcREREZ9kIhJv7hSX6wcik52xtNzetKJnPdIefxn8pdTW21te64E57xwrhU70IQERmp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\nCuRGsbaWFrxbtpAbDOKIUzkVC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"text/plain": [
"<matplotlib.figure.Figure at 0x11b476128>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"f = plot_two_distributions(df1=df.loc[df.period=='1990 - 2015'], df2=df.loc[df.period=='2015 - 2040'], title='BMI')"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python [conda root]",
"language": "python",
"name": "conda-root-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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