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‎Pandas/Pandas - Change Column Names.ipynb

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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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"# Pandas - Change Column Names"
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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": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd"
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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": 7,
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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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" .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>A</th>\n",
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" <th>B</th>\n",
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" <th>C</th>\n",
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" <th>D</th>\n",
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" <th>Label</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>0</th>\n",
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" <td>5.1</td>\n",
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" <td>3.5</td>\n",
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" <td>1.4</td>\n",
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" <td>0.2</td>\n",
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" <td>Iris-setosa</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>4.9</td>\n",
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" <td>3.0</td>\n",
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" <td>1.4</td>\n",
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" <td>0.2</td>\n",
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" <td>Iris-setosa</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>4.7</td>\n",
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" <td>3.2</td>\n",
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" <td>1.3</td>\n",
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" <td>0.2</td>\n",
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" <td>Iris-setosa</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>4.6</td>\n",
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" <td>3.1</td>\n",
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" <td>1.5</td>\n",
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" <td>0.2</td>\n",
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" <td>Iris-setosa</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>5.0</td>\n",
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" <td>3.6</td>\n",
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" <td>1.4</td>\n",
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" <td>0.2</td>\n",
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" <td>Iris-setosa</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>145</th>\n",
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" <td>6.7</td>\n",
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" <td>3.0</td>\n",
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" <td>5.2</td>\n",
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" <td>2.3</td>\n",
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" <td>Iris-virginica</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>146</th>\n",
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" <td>6.3</td>\n",
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" <td>2.5</td>\n",
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" <td>5.0</td>\n",
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" <td>1.9</td>\n",
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" <td>Iris-virginica</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>147</th>\n",
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" <td>6.5</td>\n",
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" <td>3.0</td>\n",
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" <td>5.2</td>\n",
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" <td>2.0</td>\n",
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" <td>Iris-virginica</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>148</th>\n",
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" <td>6.2</td>\n",
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" <td>3.4</td>\n",
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" <td>5.4</td>\n",
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" <td>2.3</td>\n",
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" <td>Iris-virginica</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>149</th>\n",
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" <td>5.9</td>\n",
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" <td>3.0</td>\n",
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" <td>5.1</td>\n",
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" <td>1.8</td>\n",
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" <td>Iris-virginica</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"<p>150 rows × 5 columns</p>\n",
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"</div>"
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],
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"text/plain": [
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" A B C D Label\n",
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"0 5.1 3.5 1.4 0.2 Iris-setosa\n",
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"1 4.9 3.0 1.4 0.2 Iris-setosa\n",
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"2 4.7 3.2 1.3 0.2 Iris-setosa\n",
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"3 4.6 3.1 1.5 0.2 Iris-setosa\n",
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"4 5.0 3.6 1.4 0.2 Iris-setosa\n",
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".. ... ... ... ... ...\n",
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"145 6.7 3.0 5.2 2.3 Iris-virginica\n",
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"146 6.3 2.5 5.0 1.9 Iris-virginica\n",
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"147 6.5 3.0 5.2 2.0 Iris-virginica\n",
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"148 6.2 3.4 5.4 2.3 Iris-virginica\n",
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"149 5.9 3.0 5.1 1.8 Iris-virginica\n",
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"\n",
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"[150 rows x 5 columns]"
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]
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},
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"execution_count": 7,
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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 = pd.read_csv('iris.data', names=['A','B','C','D','Label'])\n",
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"df"
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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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"axis=1 tells Pandas it's column names. \n",
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"inplace=True tells Pandas to save the changes to our DataFrame."
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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": 8,
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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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"\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>aa</th>\n",
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" <th>bb</th>\n",
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" <th>C</th>\n",
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" <th>D</th>\n",
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" <th>Label</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>0</th>\n",
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" <td>5.1</td>\n",
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" <td>3.5</td>\n",
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" <td>1.4</td>\n",
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" <td>0.2</td>\n",
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" <td>Iris-setosa</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>4.9</td>\n",
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" <td>3.0</td>\n",
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" <td>1.4</td>\n",
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" <td>0.2</td>\n",
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" <td>Iris-setosa</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>4.7</td>\n",
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" <td>3.2</td>\n",
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" <td>1.3</td>\n",
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" <td>0.2</td>\n",
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" <td>Iris-setosa</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>4.6</td>\n",
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" <td>3.1</td>\n",
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" <td>1.5</td>\n",
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" <td>0.2</td>\n",
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" <td>Iris-setosa</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>5.0</td>\n",
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" <td>3.6</td>\n",
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" <td>1.4</td>\n",
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" <td>0.2</td>\n",
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" <td>Iris-setosa</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>145</th>\n",
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" <td>6.7</td>\n",
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" <td>3.0</td>\n",
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" <td>5.2</td>\n",
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" <td>2.3</td>\n",
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" <td>Iris-virginica</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>146</th>\n",
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" <td>6.3</td>\n",
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" <td>2.5</td>\n",
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" <td>5.0</td>\n",
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" <td>1.9</td>\n",
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" <td>Iris-virginica</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>147</th>\n",
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" <td>6.5</td>\n",
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" <td>3.0</td>\n",
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" <td>5.2</td>\n",
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" <td>2.0</td>\n",
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" <td>Iris-virginica</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>148</th>\n",
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" <td>6.2</td>\n",
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" <td>3.4</td>\n",
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" <td>5.4</td>\n",
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" <td>2.3</td>\n",
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" <td>Iris-virginica</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>149</th>\n",
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" <td>5.9</td>\n",
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" <td>3.0</td>\n",
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" <td>5.1</td>\n",
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" <td>1.8</td>\n",
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" <td>Iris-virginica</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"<p>150 rows × 5 columns</p>\n",
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"</div>"
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],
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"text/plain": [
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" aa bb C D Label\n",
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"0 5.1 3.5 1.4 0.2 Iris-setosa\n",
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"1 4.9 3.0 1.4 0.2 Iris-setosa\n",
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"2 4.7 3.2 1.3 0.2 Iris-setosa\n",
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"3 4.6 3.1 1.5 0.2 Iris-setosa\n",
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"4 5.0 3.6 1.4 0.2 Iris-setosa\n",
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".. ... ... ... ... ...\n",
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"145 6.7 3.0 5.2 2.3 Iris-virginica\n",
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"146 6.3 2.5 5.0 1.9 Iris-virginica\n",
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"147 6.5 3.0 5.2 2.0 Iris-virginica\n",
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"148 6.2 3.4 5.4 2.3 Iris-virginica\n",
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"149 5.9 3.0 5.1 1.8 Iris-virginica\n",
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"\n",
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"[150 rows x 5 columns]"
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]
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},
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"execution_count": 8,
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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.rename({'A':'aa', 'B':'bb'}, axis=1, inplace=True)\n",
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"df"
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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": null,
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"nbformat": 4,
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}

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