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added matplotlib snippets
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‎.ipynb_checkpoints/matplotlib_back_to_back_bar_plot-checkpoint.ipynb

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‎.ipynb_checkpoints/matplotlib_bar_plot-checkpoint.ipynb

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‎.ipynb_checkpoints/matplotlib_grouped_bar_plot-checkpoint.ipynb

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‎.ipynb_checkpoints/matplotlib_stacked_bar_plot-checkpoint.ipynb

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‎.ipynb_checkpoints/pandas_iterate_over_rows_of_multiple_columns-checkpoint.ipynb

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{
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"metadata": {
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"name": "",
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"signature": "sha256:0b3578405548c7616429ca47caaa2b3a306e76ae8b61a31f1f791895aaba3885"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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"worksheets": [
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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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"# Iterating Through The Rows Of Multiple Columns In Pandas\n",
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"\n",
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"This snippit was written by [Chris R. Albon](http://www.chrisralbon.com/) and is part of his collection of [well-documented Python snippits](https://github.com/chrisalbon/code_py). All code is written in Python 3 in iPython notebook and offered under the [Creative Commons Attribution-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-sa/4.0/\"><img alt=\"Creative Commons License)."
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Import modules\n",
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"import pandas as pd\n",
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"import numpy as np"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 8
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"raw_data = {'first_name': ['Jason', 'Jason', 'Tina', 'Jake', 'Amy'], \n",
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" 'last_name': ['Miller', 'Miller', 'Ali', 'Milner', 'Cooze'], \n",
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" 'age': [42, 42, 36, 24, 73], \n",
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" 'preTestScore': [4, 4, 31, 2, 3],\n",
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" 'postTestScore': [25, 25, 57, 62, 70]}\n",
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"df = pd.DataFrame(raw_data, columns = ['first_name', 'last_name', 'age', 'preTestScore', 'postTestScore'])\n",
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"df"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"html": [
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"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\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>first_name</th>\n",
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" <th>last_name</th>\n",
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" <th>age</th>\n",
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" <th>preTestScore</th>\n",
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" <th>postTestScore</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> Jason</td>\n",
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" <td> Miller</td>\n",
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" <td> 42</td>\n",
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" <td> 4</td>\n",
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" <td> 25</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> Jason</td>\n",
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" <td> Miller</td>\n",
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" <td> 42</td>\n",
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" <td> 4</td>\n",
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" <td> 25</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> Tina</td>\n",
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" <td> Ali</td>\n",
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" <td> 36</td>\n",
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" <td> 31</td>\n",
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" <td> 57</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> Jake</td>\n",
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" <td> Milner</td>\n",
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" <td> 24</td>\n",
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" <td> 2</td>\n",
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" <td> 62</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> Amy</td>\n",
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" <td> Cooze</td>\n",
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" <td> 73</td>\n",
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" <td> 3</td>\n",
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" <td> 70</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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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 9,
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"text": [
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" first_name last_name age preTestScore postTestScore\n",
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"0 Jason Miller 42 4 25\n",
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"1 Jason Miller 42 4 25\n",
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"2 Tina Ali 36 31 57\n",
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"3 Jake Milner 24 2 62\n",
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"4 Amy Cooze 73 3 70"
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]
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}
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],
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"prompt_number": 9
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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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"## Iterate Over The Rows Of Two Columns"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Create an empty column for the full names\n",
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"df['full_name'] = np.NaN\n",
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"\n",
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"# Create an iteration counter\n",
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"i = 0\n",
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"\n",
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"# For each element in first_name and last_name,\n",
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"for first, last in zip(df['first_name'], df['last_name']):\n",
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" # Change the value of the i'th row in full_name \n",
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" # to the combination of the first and last name\n",
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" df['full_name'][i] = first + ' ' + last\n",
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" \n",
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" # Add one to the iteration counter\n",
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" i = i+1"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 27
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# View the dataframe\n",
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"df"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"html": [
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"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\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>first_name</th>\n",
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" <th>last_name</th>\n",
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" <th>age</th>\n",
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" <th>preTestScore</th>\n",
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" <th>postTestScore</th>\n",
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" <th>full_name</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> Jason</td>\n",
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" <td> Miller</td>\n",
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" <td> 42</td>\n",
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" <td> 4</td>\n",
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" <td> 25</td>\n",
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" <td> Jason Miller</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> Jason</td>\n",
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" <td> Miller</td>\n",
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" <td> 42</td>\n",
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" <td> 4</td>\n",
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" <td> 25</td>\n",
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" <td> Jason Miller</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> Tina</td>\n",
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" <td> Ali</td>\n",
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" <td> 36</td>\n",
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" <td> 31</td>\n",
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" <td> 57</td>\n",
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" <td> Tina Ali</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> Jake</td>\n",
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" <td> Milner</td>\n",
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" <td> 24</td>\n",
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" <td> 2</td>\n",
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" <td> 62</td>\n",
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" <td> Jake Milner</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> Amy</td>\n",
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" <td> Cooze</td>\n",
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" <td> 73</td>\n",
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" <td> 3</td>\n",
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" <td> 70</td>\n",
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" <td> Amy Cooze</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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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 28,
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"text": [
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" first_name last_name age preTestScore postTestScore full_name\n",
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"0 Jason Miller 42 4 25 Jason Miller\n",
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"1 Jason Miller 42 4 25 Jason Miller\n",
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"2 Tina Ali 36 31 57 Tina Ali\n",
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"3 Jake Milner 24 2 62 Jake Milner\n",
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"4 Amy Cooze 73 3 70 Amy Cooze"
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]
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}
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],
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"prompt_number": 28
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}
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],
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"metadata": {}
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}
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]
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}

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