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@ConstantineLignos
Last active October 23, 2016 13:56
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from pandas import DataFrame\n",
"from sklearn import linear_model\n",
"import numpy as np\n",
"import pandas\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"sleep = pandas.read_csv('sleep_study.csv')"
]
},
{
"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>Reaction</th>\n",
" <th>Days</th>\n",
" <th>Subject</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>249.5600</td>\n",
" <td>0</td>\n",
" <td>308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>258.7047</td>\n",
" <td>1</td>\n",
" <td>308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>250.8006</td>\n",
" <td>2</td>\n",
" <td>308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>321.4398</td>\n",
" <td>3</td>\n",
" <td>308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>356.8519</td>\n",
" <td>4</td>\n",
" <td>308</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Reaction Days Subject\n",
"0 249.5600 0 308\n",
"1 258.7047 1 308\n",
"2 250.8006 2 308\n",
"3 321.4398 3 308\n",
"4 356.8519 4 308"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Just show the first five items\n",
"sleep.head()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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KWRRPTUJkOjo6yi4hEsohpSxA60adckgpi+KNq0kwsyvN7Btm9mhy+7KZvbFhmmvN7ICZ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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fa992577a58>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# General histograms\n",
"sleep.hist(column='Reaction')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"18"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Unique set of subjects\n",
"subjects = sleep.Subject.unique() # Also can do set(sleep.Subject)\n",
"len(subjects)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"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>Subject</th>\n",
" <th>Reaction</th>\n",
" <th>Days</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>308</td>\n",
" <td>342.13383</td>\n",
" <td>4.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>309</td>\n",
" <td>215.23298</td>\n",
" <td>4.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>310</td>\n",
" <td>231.00127</td>\n",
" <td>4.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>330</td>\n",
" <td>303.22142</td>\n",
" <td>4.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>331</td>\n",
" <td>309.43605</td>\n",
" <td>4.5</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Subject Reaction Days\n",
"0 308 342.13383 4.5\n",
"1 309 215.23298 4.5\n",
"2 310 231.00127 4.5\n",
"3 330 303.22142 4.5\n",
"4 331 309.43605 4.5"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# By-subject summaries\n",
"# The as_index flag is important, otherwise you'll use the column you group by.\n",
"# This isn't essential now, but will matter for your upcoming exercise.\n",
"sleep_subjects = sleep.groupby('Subject', as_index=False)\n",
"sleep_subjects_means = sleep_subjects.mean()\n",
"sleep_subjects_means.head()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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uEpJSnjpbn7uAxCKNTaxtLVIWiJenLGoaREREpCNqGkRERKQjahpERESkI2oaKrBixYrc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\n/wNvFJ/o1oZUVwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fa9901d9cc0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sleep_subjects_means.hist('Reaction')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Intercept: 251.40510484848488; Coefficients: [ 10.46728596]\n"
]
}
],
"source": [
"# Perform linear regression on the data\n",
"# Create a modeller for linear regression\n",
"ols = linear_model.LinearRegression()\n",
"# Fit the model, predicting reaction time by days\n",
"# We need to pass a matrix for the predictors. Here we are selecting a list of columns (with one thing in it).\n",
"sleep_fit = ols.fit(sleep[['Days']], sleep.Reaction)\n",
"print(\"Intercept: {}; Coefficients: {}\".format(sleep_fit.intercept_, sleep_fit.coef_))"
]
},
{
"cell_type": "code",
"execution_count": 9,
"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>Reaction</th>\n",
" <th>Days</th>\n",
" <th>Subject</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>249.5600</td>\n",
" <td>0</td>\n",
" <td>308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>258.7047</td>\n",
" <td>1</td>\n",
" <td>308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>250.8006</td>\n",
" <td>2</td>\n",
" <td>308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>321.4398</td>\n",
" <td>3</td>\n",
" <td>308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>356.8519</td>\n",
" <td>4</td>\n",
" <td>308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>414.6901</td>\n",
" <td>5</td>\n",
" <td>308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>382.2038</td>\n",
" <td>6</td>\n",
" <td>308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>290.1486</td>\n",
" <td>7</td>\n",
" <td>308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>430.5853</td>\n",
" <td>8</td>\n",
" <td>308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>466.3535</td>\n",
" <td>9</td>\n",
" <td>308</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Reaction Days Subject\n",
"0 249.5600 0 308\n",
"1 258.7047 1 308\n",
"2 250.8006 2 308\n",
"3 321.4398 3 308\n",
"4 356.8519 4 308\n",
"5 414.6901 5 308\n",
"6 382.2038 6 308\n",
"7 290.1486 7 308\n",
"8 430.5853 8 308\n",
"9 466.3535 9 308"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Extract data for a single subject\n",
"sleep_308 = sleep[sleep.Subject == 308]\n",
"sleep_308"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"array([ 21.76470242])"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Model the single subject\n",
"sleep_308_fit = ols.fit(sleep_308[['Days']], sleep_308.Reaction)\n",
"sleep_308_fit.coef_"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Create a dictionary to store the subject slopes\n",
"\n",
"# Loop over ths subjects. For each subject:\n",
"# 1. Get data for the subject\n",
"# 2. Fit a regression model for the subject\n",
"# 3. Extract the slope from the model\n",
"# 4. Store the slope in the dictionary\n",
"\n",
"# Plot the values of the dictionary in a histogram. You'll need to turn the values\n",
"# of the dictionary into a list before passing them to plt.hist."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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CAwNdHfWuIoWDEEKIAstsNvPRRx/xxhtvMGvWLE6cOHGx5XStWrVcHe+uJIWDEEKIi/bs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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fa98fc4b518>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Arguments: x, y, point size (s), color (c), color map (cmap)\n",
"plt.scatter(sleep.Days, sleep.Reaction, s=50, c=sleep.Subject, cmap=plt.cm.Dark2)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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ZBCRgR1rBZ/75x0pvAHVVo5i/WrL9dRGxAHwHeAh4d0rpfJ8h6jee+mRTeHkk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\n9v8DlynhuM8RwzAAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fa98efd1eb8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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B/8Gx227e1SH5a/ZsD6RqRUhNSiHBzLbGxxOcFkJYUjUliUi+e/lluOwyuPxyuOSSaGqo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\n/9MqtEv4rU05AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fa98ef4e668>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Plot just the subject\n",
"subject = sleep[sleep.Subject == 308]\n",
"# Scatter\n",
"plt.scatter(subject.Days, subject.Reaction, s=50)\n",
"plt.show()\n",
"# Line\n",
"plt.plot(subject.Days, subject.Reaction)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Exercise: create a single plot with one line per subject\n",
"# For each subject:\n",
"# 1. Get the subject's data\n",
"# 2. Use plt.plot to plot Days and Reaction\n",
"# Finally, use plot.show() to show the plot"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# Exercise: Compute and plot means by day"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7fa98fc59f28>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# SOLUTION\n",
"# By-subject slopes\n",
"# Create a dictionary to store the subject slopes\n",
"subject_slopes = {}\n",
"# Loop over ths subjects\n",
"for subject in subjects:\n",
" # Get data for a single subject\n",
" sleep_subject = sleep[sleep.Subject == subject]\n",
" # Fit a regression for the subject\n",
" subject_model = ols.fit(sleep_subject[['Days']], sleep_subject.Reaction)\n",
" # Extract the slope from the model\n",
" subject_slopes[subject] = subject_model.coef_[0]\n",
"\n",
"# Plot the values of the dictionary in a histogram. You'll need to turn the values\n",
"# of the dictionary into a list before passing them to plt.hist.\n",
"plt.hist(list(subject_slopes.values()))\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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3Ltx3n1lpcuJEU1H5zTfN0gongrCwJ8jI+Ijk5Bfp2fOIHPEOZ9Mm8+Py7XFq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\npjN37kU8/vhLVFaKEAHhf1xW7mVz3l625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JvDBsCAhAHcMeMObp58c5eJA7fXyxqfMHi3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\nGRIkSVLRB0WV+v0F6dRJAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fa98eecb780>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# SOLUTION\n",
"# By-subject line plots\n",
"for subject in sleep.Subject.unique():\n",
" subject_data = sleep[sleep.Subject == subject]\n",
" plt.plot(subject_data.Days, subject_data.Reaction)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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1cP310LNn0VVJUnWpqE9CSmlQy68j4ijgX0AdMK60uz9wVUrpkdLXl0XEUGBL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\ndeH8AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fa98ef622e8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# SOLUTION \n",
"# By-day summaries\n",
"sleep_days = sleep.groupby('Days', as_index=False)\n",
"sleep_days_means = sleep_days.aggregate(np.mean)\n",
"plt.plot(sleep_days_means.Days, sleep_days_means.Reaction)\n",
"plt.show()"
]
}
],
"metadata": {
"anaconda-cloud": {},
"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": 0
}
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