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decisionstats/PandaSQL

Created December 8, 2015 04:18
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PandaSQL
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[33mThe directory '/home/ajay/.cache/pip/http' or its parent directory is not owned by the current user and the cache has been disabled. Please check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.\u001b[0m\n",
"\u001b[33mYou are using pip version 7.1.0, however version 7.1.2 is available.\n",
"You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n",
"\u001b[33mThe directory '/home/ajay/.cache/pip/http' or its parent directory is not owned by the current user and the cache has been disabled. Please check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.\u001b[0m\n",
"Collecting pandasql\n",
" Downloading pandasql-0.6.3.tar.gz\n",
"Installing collected packages: pandasql\n",
" Running setup.py install for pandasql\n",
"Successfully installed pandasql-0.6.3\n"
]
}
],
"source": [
"! sudo pip install -U pandasql"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from pandasql import sqldf\n",
"pysqldf = lambda q: sqldf(q, globals())"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"mycars=pd.read_csv(\"http://vincentarelbundock.github.io/Rdatasets/csv/datasets/mtcars.csv\")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"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>Unnamed: 0</th>\n",
" <th>mpg</th>\n",
" <th>cyl</th>\n",
" <th>disp</th>\n",
" <th>hp</th>\n",
" <th>drat</th>\n",
" <th>wt</th>\n",
" <th>qsec</th>\n",
" <th>vs</th>\n",
" <th>am</th>\n",
" <th>gear</th>\n",
" <th>carb</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Mazda RX4</td>\n",
" <td>21.0</td>\n",
" <td>6</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
" <td>3.90</td>\n",
" <td>2.620</td>\n",
" <td>16.46</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Mazda RX4 Wag</td>\n",
" <td>21.0</td>\n",
" <td>6</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
" <td>3.90</td>\n",
" <td>2.875</td>\n",
" <td>17.02</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Datsun 710</td>\n",
" <td>22.8</td>\n",
" <td>4</td>\n",
" <td>108</td>\n",
" <td>93</td>\n",
" <td>3.85</td>\n",
" <td>2.320</td>\n",
" <td>18.61</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Hornet 4 Drive</td>\n",
" <td>21.4</td>\n",
" <td>6</td>\n",
" <td>258</td>\n",
" <td>110</td>\n",
" <td>3.08</td>\n",
" <td>3.215</td>\n",
" <td>19.44</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Hornet Sportabout</td>\n",
" <td>18.7</td>\n",
" <td>8</td>\n",
" <td>360</td>\n",
" <td>175</td>\n",
" <td>3.15</td>\n",
" <td>3.440</td>\n",
" <td>17.02</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Unnamed: 0 mpg cyl disp hp drat wt qsec vs am gear \\\n",
"0 Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 \n",
"1 Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 \n",
"2 Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 \n",
"3 Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 \n",
"4 Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 \n",
"\n",
" carb \n",
"0 4 \n",
"1 4 \n",
"2 1 \n",
"3 1 \n",
"4 2 "
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mycars.head()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"Index(['Unnamed: 0', 'mpg', 'cyl', 'disp', 'hp', 'drat', 'wt', 'qsec', 'vs',\n",
" 'am', 'gear', 'carb'],\n",
" dtype='object')"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mycars.columns"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"mycars.columns= ['brand','mpg', 'cyl', 'disp', 'hp', 'drat', 'wt', 'qsec', 'vs',\n",
" 'am', 'gear', 'carb']"
]
},
{
"cell_type": "code",
"execution_count": 16,
"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>brand</th>\n",
" <th>mpg</th>\n",
" <th>cyl</th>\n",
" <th>disp</th>\n",
" <th>hp</th>\n",
" <th>drat</th>\n",
" <th>wt</th>\n",
" <th>qsec</th>\n",
" <th>vs</th>\n",
" <th>am</th>\n",
" <th>gear</th>\n",
" <th>carb</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Mazda RX4</td>\n",
" <td>21.0</td>\n",
" <td>6</td>\n",
" <td>160.0</td>\n",
" <td>110</td>\n",
" <td>3.90</td>\n",
" <td>2.620</td>\n",
" <td>16.46</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Mazda RX4 Wag</td>\n",
" <td>21.0</td>\n",
" <td>6</td>\n",
" <td>160.0</td>\n",
" <td>110</td>\n",
" <td>3.90</td>\n",
" <td>2.875</td>\n",
" <td>17.02</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Datsun 710</td>\n",
" <td>22.8</td>\n",
" <td>4</td>\n",
" <td>108.0</td>\n",
" <td>93</td>\n",
" <td>3.85</td>\n",
" <td>2.320</td>\n",
" <td>18.61</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Hornet 4 Drive</td>\n",
" <td>21.4</td>\n",
" <td>6</td>\n",
" <td>258.0</td>\n",
" <td>110</td>\n",
" <td>3.08</td>\n",
" <td>3.215</td>\n",
" <td>19.44</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Hornet Sportabout</td>\n",
" <td>18.7</td>\n",
" <td>8</td>\n",
" <td>360.0</td>\n",
" <td>175</td>\n",
" <td>3.15</td>\n",
" <td>3.440</td>\n",
" <td>17.02</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>Valiant</td>\n",
" <td>18.1</td>\n",
" <td>6</td>\n",
" <td>225.0</td>\n",
" <td>105</td>\n",
" <td>2.76</td>\n",
" <td>3.460</td>\n",
" <td>20.22</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Duster 360</td>\n",
" <td>14.3</td>\n",
" <td>8</td>\n",
" <td>360.0</td>\n",
" <td>245</td>\n",
" <td>3.21</td>\n",
" <td>3.570</td>\n",
" <td>15.84</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>Merc 240D</td>\n",
" <td>24.4</td>\n",
" <td>4</td>\n",
" <td>146.7</td>\n",
" <td>62</td>\n",
" <td>3.69</td>\n",
" <td>3.190</td>\n",
" <td>20.00</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>Merc 230</td>\n",
" <td>22.8</td>\n",
" <td>4</td>\n",
" <td>140.8</td>\n",
" <td>95</td>\n",
" <td>3.92</td>\n",
" <td>3.150</td>\n",
" <td>22.90</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>Merc 280</td>\n",
" <td>19.2</td>\n",
" <td>6</td>\n",
" <td>167.6</td>\n",
" <td>123</td>\n",
" <td>3.92</td>\n",
" <td>3.440</td>\n",
" <td>18.30</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" brand mpg cyl disp hp drat wt qsec vs am gear \\\n",
"0 Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 \n",
"1 Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 \n",
"2 Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 \n",
"3 Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 \n",
"4 Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 \n",
"5 Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 \n",
"6 Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 \n",
"7 Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 \n",
"8 Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 \n",
"9 Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 \n",
"\n",
" carb \n",
"0 4 \n",
"1 4 \n",
"2 1 \n",
"3 1 \n",
"4 2 \n",
"5 1 \n",
"6 4 \n",
"7 2 \n",
"8 2 \n",
"9 4 "
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pysqldf(\"SELECT * FROM mycars LIMIT 10;\")\n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"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>brand</th>\n",
" <th>mpg</th>\n",
" <th>cyl</th>\n",
" <th>disp</th>\n",
" <th>hp</th>\n",
" <th>drat</th>\n",
" <th>wt</th>\n",
" <th>qsec</th>\n",
" <th>vs</th>\n",
" <th>am</th>\n",
" <th>gear</th>\n",
" <th>carb</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Mazda RX4</td>\n",
" <td>21.0</td>\n",
" <td>6</td>\n",
" <td>160.0</td>\n",
" <td>110</td>\n",
" <td>3.90</td>\n",
" <td>2.620</td>\n",
" <td>16.46</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Mazda RX4 Wag</td>\n",
" <td>21.0</td>\n",
" <td>6</td>\n",
" <td>160.0</td>\n",
" <td>110</td>\n",
" <td>3.90</td>\n",
" <td>2.875</td>\n",
" <td>17.02</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Datsun 710</td>\n",
" <td>22.8</td>\n",
" <td>4</td>\n",
" <td>108.0</td>\n",
" <td>93</td>\n",
" <td>3.85</td>\n",
" <td>2.320</td>\n",
" <td>18.61</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Merc 240D</td>\n",
" <td>24.4</td>\n",
" <td>4</td>\n",
" <td>146.7</td>\n",
" <td>62</td>\n",
" <td>3.69</td>\n",
" <td>3.190</td>\n",
" <td>20.00</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Merc 230</td>\n",
" <td>22.8</td>\n",
" <td>4</td>\n",
" <td>140.8</td>\n",
" <td>95</td>\n",
" <td>3.92</td>\n",
" <td>3.150</td>\n",
" <td>22.90</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>Merc 280</td>\n",
" <td>19.2</td>\n",
" <td>6</td>\n",
" <td>167.6</td>\n",
" <td>123</td>\n",
" <td>3.92</td>\n",
" <td>3.440</td>\n",
" <td>18.30</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Merc 280C</td>\n",
" <td>17.8</td>\n",
" <td>6</td>\n",
" <td>167.6</td>\n",
" <td>123</td>\n",
" <td>3.92</td>\n",
" <td>3.440</td>\n",
" <td>18.90</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>Fiat 128</td>\n",
" <td>32.4</td>\n",
" <td>4</td>\n",
" <td>78.7</td>\n",
" <td>66</td>\n",
" <td>4.08</td>\n",
" <td>2.200</td>\n",
" <td>19.47</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>Honda Civic</td>\n",
" <td>30.4</td>\n",
" <td>4</td>\n",
" <td>75.7</td>\n",
" <td>52</td>\n",
" <td>4.93</td>\n",
" <td>1.615</td>\n",
" <td>18.52</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>Toyota Corolla</td>\n",
" <td>33.9</td>\n",
" <td>4</td>\n",
" <td>71.1</td>\n",
" <td>65</td>\n",
" <td>4.22</td>\n",
" <td>1.835</td>\n",
" <td>19.90</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>Fiat X1-9</td>\n",
" <td>27.3</td>\n",
" <td>4</td>\n",
" <td>79.0</td>\n",
" <td>66</td>\n",
" <td>4.08</td>\n",
" <td>1.935</td>\n",
" <td>18.90</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>Porsche 914-2</td>\n",
" <td>26.0</td>\n",
" <td>4</td>\n",
" <td>120.3</td>\n",
" <td>91</td>\n",
" <td>4.43</td>\n",
" <td>2.140</td>\n",
" <td>16.70</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>Lotus Europa</td>\n",
" <td>30.4</td>\n",
" <td>4</td>\n",
" <td>95.1</td>\n",
" <td>113</td>\n",
" <td>3.77</td>\n",
" <td>1.513</td>\n",
" <td>16.90</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>Ford Pantera L</td>\n",
" <td>15.8</td>\n",
" <td>8</td>\n",
" <td>351.0</td>\n",
" <td>264</td>\n",
" <td>4.22</td>\n",
" <td>3.170</td>\n",
" <td>14.50</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>Ferrari Dino</td>\n",
" <td>19.7</td>\n",
" <td>6</td>\n",
" <td>145.0</td>\n",
" <td>175</td>\n",
" <td>3.62</td>\n",
" <td>2.770</td>\n",
" <td>15.50</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>Maserati Bora</td>\n",
" <td>15.0</td>\n",
" <td>8</td>\n",
" <td>301.0</td>\n",
" <td>335</td>\n",
" <td>3.54</td>\n",
" <td>3.570</td>\n",
" <td>14.60</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>Volvo 142E</td>\n",
" <td>21.4</td>\n",
" <td>4</td>\n",
" <td>121.0</td>\n",
" <td>109</td>\n",
" <td>4.11</td>\n",
" <td>2.780</td>\n",
" <td>18.60</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" brand mpg cyl disp hp drat wt qsec vs am gear \\\n",
"0 Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 \n",
"1 Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 \n",
"2 Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 \n",
"3 Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 \n",
"4 Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 \n",
"5 Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 \n",
"6 Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 \n",
"7 Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 \n",
"8 Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 \n",
"9 Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 \n",
"10 Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 \n",
"11 Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 \n",
"12 Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 \n",
"13 Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 \n",
"14 Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 \n",
"15 Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 \n",
"16 Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 \n",
"\n",
" carb \n",
"0 4 \n",
"1 4 \n",
"2 1 \n",
"3 2 \n",
"4 2 \n",
"5 4 \n",
"6 4 \n",
"7 1 \n",
"8 2 \n",
"9 1 \n",
"10 1 \n",
"11 2 \n",
"12 2 \n",
"13 4 \n",
"14 6 \n",
"15 8 \n",
"16 2 "
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pysqldf(\"SELECT * FROM mycars WHERE gear>3 ;\")\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"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>brand</th>\n",
" <th>mpg</th>\n",
" <th>cyl</th>\n",
" <th>disp</th>\n",
" <th>hp</th>\n",
" <th>drat</th>\n",
" <th>wt</th>\n",
" <th>qsec</th>\n",
" <th>vs</th>\n",
" <th>am</th>\n",
" <th>gear</th>\n",
" <th>carb</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Ferrari Dino</td>\n",
" <td>19.7</td>\n",
" <td>6</td>\n",
" <td>145</td>\n",
" <td>175</td>\n",
" <td>3.62</td>\n",
" <td>2.77</td>\n",
" <td>15.5</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Maserati Bora</td>\n",
" <td>15.0</td>\n",
" <td>8</td>\n",
" <td>301</td>\n",
" <td>335</td>\n",
" <td>3.54</td>\n",
" <td>3.57</td>\n",
" <td>14.6</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>8</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" brand mpg cyl disp hp drat wt qsec vs am gear carb\n",
"0 Ferrari Dino 19.7 6 145 175 3.62 2.77 15.5 0 1 5 6\n",
"1 Maserati Bora 15.0 8 301 335 3.54 3.57 14.6 0 1 5 8"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pysqldf(\"SELECT * FROM mycars WHERE gear>3 and carb>4 ;\")\n"
]
},
{
"cell_type": "code",
"execution_count": 19,
"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>AVG(mpg)</th>\n",
" <th>gear</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>16.106667</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>24.533333</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>21.380000</td>\n",
" <td>5</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" AVG(mpg) gear\n",
"0 16.106667 3\n",
"1 24.533333 4\n",
"2 21.380000 5"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pysqldf(\"SELECT AVG(mpg),gear FROM mycars GROUP by gear;\")\n"
]
},
{
"cell_type": "code",
"execution_count": 20,
"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>AVG(mpg)</th>\n",
" <th>gear</th>\n",
" <th>cyl</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>21.500</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>19.750</td>\n",
" <td>3</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>15.050</td>\n",
" <td>3</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>26.925</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>19.750</td>\n",
" <td>4</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>28.200</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>19.700</td>\n",
" <td>5</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>15.400</td>\n",
" <td>5</td>\n",
" <td>8</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" AVG(mpg) gear cyl\n",
"0 21.500 3 4\n",
"1 19.750 3 6\n",
"2 15.050 3 8\n",
"3 26.925 4 4\n",
"4 19.750 4 6\n",
"5 28.200 5 4\n",
"6 19.700 5 6\n",
"7 15.400 5 8"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pysqldf(\"SELECT AVG(mpg),gear,cyl FROM mycars GROUP by gear,cyl;\")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.4.3"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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