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added melt tutorial
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learnp committed Jun 24, 2017
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344 changes: 344 additions & 0 deletions pandas/11_melt/pandas_melt_tutorial.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# <font color=\"purple\"><h3 align=\"center\">Reshape pandas dataframe using melt</h3></font>"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>day</th>\n",
" <th>chicago</th>\n",
" <th>chennai</th>\n",
" <th>berlin</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Monday</td>\n",
" <td>32</td>\n",
" <td>75</td>\n",
" <td>41</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Tuesday</td>\n",
" <td>30</td>\n",
" <td>77</td>\n",
" <td>43</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Wednesday</td>\n",
" <td>28</td>\n",
" <td>75</td>\n",
" <td>45</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Thursday</td>\n",
" <td>22</td>\n",
" <td>82</td>\n",
" <td>38</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Friday</td>\n",
" <td>30</td>\n",
" <td>83</td>\n",
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" <tr>\n",
" <th>5</th>\n",
" <td>Saturday</td>\n",
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" <td>81</td>\n",
" <td>45</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Sunday</td>\n",
" <td>25</td>\n",
" <td>77</td>\n",
" <td>47</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" day chicago chennai berlin\n",
"0 Monday 32 75 41\n",
"1 Tuesday 30 77 43\n",
"2 Wednesday 28 75 45\n",
"3 Thursday 22 82 38\n",
"4 Friday 30 83 30\n",
"5 Saturday 20 81 45\n",
"6 Sunday 25 77 47"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"df = pd.read_csv(\"weather.csv\")\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false,
"scrolled": true
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"outputs": [
{
"data": {
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"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>day</th>\n",
" <th>city</th>\n",
" <th>temperature</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Monday</td>\n",
" <td>chicago</td>\n",
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" <td>Thursday</td>\n",
" <td>chicago</td>\n",
" <td>22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Friday</td>\n",
" <td>chicago</td>\n",
" <td>30</td>\n",
" </tr>\n",
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" <th>5</th>\n",
" <td>Saturday</td>\n",
" <td>chicago</td>\n",
" <td>20</td>\n",
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" <tr>\n",
" <th>6</th>\n",
" <td>Sunday</td>\n",
" <td>chicago</td>\n",
" <td>25</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>Monday</td>\n",
" <td>chennai</td>\n",
" <td>75</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>Tuesday</td>\n",
" <td>chennai</td>\n",
" <td>77</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>Wednesday</td>\n",
" <td>chennai</td>\n",
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" <td>82</td>\n",
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" <th>11</th>\n",
" <td>Friday</td>\n",
" <td>chennai</td>\n",
" <td>83</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>Saturday</td>\n",
" <td>chennai</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>Sunday</td>\n",
" <td>chennai</td>\n",
" <td>77</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>Monday</td>\n",
" <td>berlin</td>\n",
" <td>41</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>Tuesday</td>\n",
" <td>berlin</td>\n",
" <td>43</td>\n",
" </tr>\n",
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" <th>16</th>\n",
" <td>Wednesday</td>\n",
" <td>berlin</td>\n",
" <td>45</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>Thursday</td>\n",
" <td>berlin</td>\n",
" <td>38</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>Friday</td>\n",
" <td>berlin</td>\n",
" <td>30</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>Saturday</td>\n",
" <td>berlin</td>\n",
" <td>45</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>Sunday</td>\n",
" <td>berlin</td>\n",
" <td>47</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" day city temperature\n",
"0 Monday chicago 32\n",
"1 Tuesday chicago 30\n",
"2 Wednesday chicago 28\n",
"3 Thursday chicago 22\n",
"4 Friday chicago 30\n",
"5 Saturday chicago 20\n",
"6 Sunday chicago 25\n",
"7 Monday chennai 75\n",
"8 Tuesday chennai 77\n",
"9 Wednesday chennai 75\n",
"10 Thursday chennai 82\n",
"11 Friday chennai 83\n",
"12 Saturday chennai 81\n",
"13 Sunday chennai 77\n",
"14 Monday berlin 41\n",
"15 Tuesday berlin 43\n",
"16 Wednesday berlin 45\n",
"17 Thursday berlin 38\n",
"18 Friday berlin 30\n",
"19 Saturday berlin 45\n",
"20 Sunday berlin 47"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"melted = pd.melt(df, id_vars=[\"day\"], var_name='city', value_name='temperature')\n",
"melted"
]
}
],
"metadata": {
"anaconda-cloud": {},
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"display_name": "Python [conda root]",
"language": "python",
"name": "conda-root-py"
},
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"name": "python",
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"pygments_lexer": "ipython3",
"version": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
8 changes: 8 additions & 0 deletions pandas/11_melt/weather.csv
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day,chicago,chennai,berlin
Monday,32,75,41
Tuesday,30,77,43
Wednesday,28,75,45
Thursday,22,82,38
Friday,30,83,30
Saturday,20,81,45
Sunday,25,77,47

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