{ "metadata": { "name": "", "signature": "sha256:c21db62461c27e5fb9a0b52f42f67296042803f6b3fe2e6528177545b2ea88b6" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Simple Example Dataframe\n", "\n", "- **Author:** [Chris Albon](http://www.chrisalbon.com/), [@ChrisAlbon](https://twitter.com/chrisalbon)\n", "- **Date:** -\n", "- **Repo:** [Python 3 code snippets for data science](https://github.com/chrisalbon/code_py)\n", "- **Note:**" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import pandas as pd" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "raw_data = {'regiment': ['Nighthawks', 'Nighthawks', 'Nighthawks', 'Nighthawks', 'Dragoons', 'Dragoons', 'Dragoons', 'Dragoons', 'Scouts', 'Scouts', 'Scouts', 'Scouts'], \n", " 'company': ['1st', '1st', '2nd', '2nd', '1st', '1st', '2nd', '2nd','1st', '1st', '2nd', '2nd'], \n", " 'deaths': [523, 52, 25, 616, 43, 234, 523, 62, 62, 73, 37, 35], \n", " 'battles': [5, 42, 2, 2, 4, 7, 8, 3, 4, 7, 8, 9], \n", " 'size': [1045, 957, 1099, 1400, 1592, 1006, 987, 849, 973, 1005, 1099, 1523],\n", " 'veterans': [1, 5, 62, 26, 73, 37, 949, 48, 48, 435, 63, 345],\n", " 'readiness': [1, 2, 3, 3, 2, 1, 2, 3, 2, 1, 2, 3],\n", " 'armored': [1, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1],\n", " 'deserters': [4, 24, 31, 2, 3, 4, 24, 31, 2, 3, 2, 3],\n", " 'officers': [25, 94, 57, 62, 70, 25, 94, 57, 62, 70, 62, 70]}\n", "\n", "regiment = pd.DataFrame(raw_data, columns = ['regiment', 'company', 'deaths', 'battles', 'size', 'veterans', 'readiness', 'armored', 'deserters', 'officers'])" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [], "language": "python", "metadata": {}, "outputs": [] } ], "metadata": {} } ] }