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butsugiri/Weight_Sum.ipynb

Created September 4, 2016 12:05
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Weight_Sum.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import numpy.random as rnd\n",
"import numpy as np\n",
"import matplotlib\n",
"import seaborn as sns"
]
},
{
"cell_type": "code",
"execution_count": 4,
"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>Date</th>\n",
" <th>Name</th>\n",
" <th>Company</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2003-01-02 00:00:00</td>\n",
" <td>Shun</td>\n",
" <td>Anger</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2003-01-03 00:00:00</td>\n",
" <td>Shun</td>\n",
" <td>Quit</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2003-01-03 00:00:00</td>\n",
" <td>Shun</td>\n",
" <td>Happy</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2003-01-05 00:00:00</td>\n",
" <td>Shun</td>\n",
" <td>Happy</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2003-01-05 00:00:00</td>\n",
" <td>Shun</td>\n",
" <td>Happy</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2003-01-02 00:00:00</td>\n",
" <td>John</td>\n",
" <td>Quit</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2003-01-05 00:00:00</td>\n",
" <td>John</td>\n",
" <td>Happy</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2003-01-06 00:00:00</td>\n",
" <td>John</td>\n",
" <td>Sad</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2003-01-07 00:00:00</td>\n",
" <td>John</td>\n",
" <td>Anger</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Date Name Company\n",
"0 2003-01-02 00:00:00 Shun Anger\n",
"1 2003-01-03 00:00:00 Shun Quit\n",
"2 2003-01-03 00:00:00 Shun Happy\n",
"3 2003-01-05 00:00:00 Shun Happy\n",
"4 2003-01-05 00:00:00 Shun Happy\n",
"5 2003-01-02 00:00:00 John Quit\n",
"6 2003-01-05 00:00:00 John Happy\n",
"7 2003-01-06 00:00:00 John Sad\n",
"8 2003-01-07 00:00:00 John Anger"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_csv(\"./ch09/toy.csv\")\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"actions = [\"Anger\", \"Quit\", \"Happy\", \"Sad\"]\n",
"def func(df):\n",
" ap = df[\"Company\"][df[\"Company\"] == \"Anger\"].count()\n",
" qp = df[\"Company\"][df[\"Company\"] == \"Quit\"].count()\n",
" hp = df[\"Company\"][df[\"Company\"] == \"Happy\"].count()\n",
" return ap + qp + hp\n",
" \n",
" pass"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"df = df.groupby([\"Name\", \"Date\"]).apply(func).reset_index()"
]
},
{
"cell_type": "code",
"execution_count": 42,
"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>Name</th>\n",
" <th>Date</th>\n",
" <th>0</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>John</td>\n",
" <td>2003-01-02 00:00:00</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>John</td>\n",
" <td>2003-01-05 00:00:00</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>John</td>\n",
" <td>2003-01-06 00:00:00</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>John</td>\n",
" <td>2003-01-07 00:00:00</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Shun</td>\n",
" <td>2003-01-02 00:00:00</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>Shun</td>\n",
" <td>2003-01-03 00:00:00</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Shun</td>\n",
" <td>2003-01-05 00:00:00</td>\n",
" <td>2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Name Date 0\n",
"0 John 2003-01-02 00:00:00 1\n",
"1 John 2003-01-05 00:00:00 1\n",
"2 John 2003-01-06 00:00:00 0\n",
"3 John 2003-01-07 00:00:00 1\n",
"4 Shun 2003-01-02 00:00:00 1\n",
"5 Shun 2003-01-03 00:00:00 2\n",
"6 Shun 2003-01-05 00:00:00 2"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"df.columns = [\"Name\", \"Date\", \"Action\"]"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Object `fillna` not found.\n"
]
}
],
"source": [
"df.pivot(index=\"Date\", columns=\"Name\", values=\"Action\").fillna?"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th>Name</th>\n",
" <th>John</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Date</th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2003-01-02 00:00:00</th>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2003-01-03 00:00:00</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2003-01-05 00:00:00</th>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2003-01-06 00:00:00</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2003-01-07 00:00:00</th>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"Name John\n",
"Date \n",
"2003-01-02 00:00:00 1\n",
"2003-01-03 00:00:00 0\n",
"2003-01-05 00:00:00 1\n",
"2003-01-06 00:00:00 0\n",
"2003-01-07 00:00:00 1"
]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.pivot(index=\"Date\", columns=\"Name\", values=\"Action\").fillna(0).ix[:,0:1]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"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": "2.7.12"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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