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Commit 6a03036

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Add Extracting and Transforming Data notebook notes
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Manipulating DataFrams with pandas"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Extracting and transforming data"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>City</th>\n",
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" <th>Edition</th>\n",
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" <th>Sport</th>\n",
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" <th>Discipline</th>\n",
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" <th>NOC</th>\n",
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" <th>Gender</th>\n",
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" <th>Event</th>\n",
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" <th>Event_gender</th>\n",
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" <th>Medal</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Athlete</th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>CHOROPHAS, Efstathios</th>\n",
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" <td>Athens</td>\n",
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" <td>1896</td>\n",
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" <td>Aquatics</td>\n",
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" <td>Swimming</td>\n",
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" <td>GRE</td>\n",
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" <td>Men</td>\n",
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" <td>1200m freestyle</td>\n",
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" <td>M</td>\n",
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" <td>Bronze</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>HAJOS, Alfred</th>\n",
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" <td>Athens</td>\n",
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" <td>1896</td>\n",
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" <td>Aquatics</td>\n",
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" <td>Swimming</td>\n",
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" <td>HUN</td>\n",
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" <td>Men</td>\n",
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" <td>1200m freestyle</td>\n",
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" <td>M</td>\n",
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" <td>Gold</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>ANDREOU, Joannis</th>\n",
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" <td>Athens</td>\n",
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" <td>1896</td>\n",
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" <td>Aquatics</td>\n",
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" <td>Swimming</td>\n",
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" <td>GRE</td>\n",
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" <td>Men</td>\n",
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" <td>1200m freestyle</td>\n",
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" <td>M</td>\n",
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" <td>Silver</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>CHOROPHAS, Efstathios</th>\n",
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" <td>Athens</td>\n",
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" <td>1896</td>\n",
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" <td>Aquatics</td>\n",
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" <td>Swimming</td>\n",
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" <td>GRE</td>\n",
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" <td>Men</td>\n",
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" <td>400m freestyle</td>\n",
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" <td>M</td>\n",
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" <td>Bronze</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>NEUMANN, Paul</th>\n",
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" <td>Athens</td>\n",
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" <td>1896</td>\n",
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" <td>Aquatics</td>\n",
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" <td>Swimming</td>\n",
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" <td>AUT</td>\n",
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" <td>Men</td>\n",
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" <td>400m freestyle</td>\n",
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" <td>M</td>\n",
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" <td>Gold</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>PEPANOS, Antonios</th>\n",
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" <td>Athens</td>\n",
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" <td>1896</td>\n",
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" <td>Aquatics</td>\n",
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" <td>Swimming</td>\n",
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" <td>GRE</td>\n",
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" <td>Men</td>\n",
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" <td>400m freestyle</td>\n",
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" <td>M</td>\n",
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" <td>Silver</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>LANE, Francis</th>\n",
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" <td>Athens</td>\n",
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" <td>1896</td>\n",
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" <td>Athletics</td>\n",
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" <td>Athletics</td>\n",
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" <td>USA</td>\n",
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" <td>Men</td>\n",
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" <td>100m</td>\n",
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" <td>M</td>\n",
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" <td>Bronze</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>SZOKOLYI, Alajos</th>\n",
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" <td>Athens</td>\n",
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" <td>1896</td>\n",
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" <td>Athletics</td>\n",
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" <td>Athletics</td>\n",
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" <td>HUN</td>\n",
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" <td>Men</td>\n",
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" <td>100m</td>\n",
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" <td>M</td>\n",
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" <td>Bronze</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>BURKE, Thomas</th>\n",
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" <td>Athens</td>\n",
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" <td>1896</td>\n",
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" <td>Athletics</td>\n",
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" <td>Athletics</td>\n",
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" <td>USA</td>\n",
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" <td>Men</td>\n",
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" <td>100m</td>\n",
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" <td>M</td>\n",
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" <td>Gold</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>HOFMANN, Fritz</th>\n",
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" <td>Athens</td>\n",
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" <td>1896</td>\n",
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" <td>Athletics</td>\n",
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" <td>Athletics</td>\n",
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" <td>GER</td>\n",
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" <td>Men</td>\n",
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" <td>100m</td>\n",
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" <td>M</td>\n",
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" <td>Silver</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" City Edition Sport Discipline NOC Gender Event Event_gender Medal\n",
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"Athlete \n",
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"CHOROPHAS, Efstathios Athens 1896 Aquatics Swimming GRE Men 1200m freestyle M Bronze\n",
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"HAJOS, Alfred Athens 1896 Aquatics Swimming HUN Men 1200m freestyle M Gold\n",
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"ANDREOU, Joannis Athens 1896 Aquatics Swimming GRE Men 1200m freestyle M Silver\n",
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"CHOROPHAS, Efstathios Athens 1896 Aquatics Swimming GRE Men 400m freestyle M Bronze\n",
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"NEUMANN, Paul Athens 1896 Aquatics Swimming AUT Men 400m freestyle M Gold\n",
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"PEPANOS, Antonios Athens 1896 Aquatics Swimming GRE Men 400m freestyle M Silver\n",
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"LANE, Francis Athens 1896 Athletics Athletics USA Men 100m M Bronze\n",
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"SZOKOLYI, Alajos Athens 1896 Athletics Athletics HUN Men 100m M Bronze\n",
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"BURKE, Thomas Athens 1896 Athletics Athletics USA Men 100m M Gold\n",
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"HOFMANN, Fritz Athens 1896 Athletics Athletics GER Men 100m M Silver"
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]
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},
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"execution_count": 15,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"import pandas as pd\n",
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"df = pd.read_csv('https://assets.datacamp.com/production/repositories/502/datasets/bf22326ecc9171f68796ad805a7c1135288120b6/all_medalists.csv', index_col='Athlete')\n",
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"df[5:15]"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Indexing using square brackets"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"HERSCHMANN, Otto Athens\n",
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"HERSCHMANN, Otto Stockholm\n",
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"Name: City, dtype: object"
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]
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},
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df['City']['HERSCHMANN, Otto']"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Using column attribute and row label"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"HAJOS, Alfred Gold\n",
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"HAJOS, Alfred Gold\n",
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"Name: Medal, dtype: object"
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]
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},
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"execution_count": 18,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df.Medal['HAJOS, Alfred']"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Using the .loc and .iloc accessors"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'Bronze'"
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]
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},
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"execution_count": 21,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"#df.loc[row specifier, column specifier]\n",
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"df.loc['LANE, Francis', 'Medal']"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'100m freestyle for sailors'"
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]
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},
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"execution_count": 26,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df.iloc[4, 6]"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.3"
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},
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"toc": {
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"base_numbering": 1,
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"nav_menu": {},
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"number_sections": true,
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"sideBar": true,
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"skip_h1_title": false,
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"title_cell": "Table of Contents",
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"title_sidebar": "Contents",
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"toc_cell": false,
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"toc_position": {},
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"toc_section_display": true,
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"toc_window_display": false
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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