{ "metadata": { "name": "", "signature": "sha256:582acd4f604de48957e594c4d3d97947e49fe64c63fe18bb8b3b200edebaa0d2" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Lower Case Column Names In Pandas 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": "markdown", "metadata": {}, "source": [ "## Preliminaries" ] }, { "cell_type": "code", "collapsed": false, "input": [ "# Import modules\n", "import pandas as pd\n", "\n", "# Set ipython's max row display\n", "pd.set_option('display.max_row', 1000)\n", "\n", "# Set iPython's max column width to 50\n", "pd.set_option('display.max_columns', 50)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Create an example dataframe" ] }, { "cell_type": "code", "collapsed": false, "input": [ "# Create an example dataframe\n", "data = {'NAME': ['Jason', 'Molly', 'Tina', 'Jake', 'Amy'], \n", " 'YEAR': [2012, 2012, 2013, 2014, 2014], \n", " 'REPORTS': [4, 24, 31, 2, 3]}\n", "df = pd.DataFrame(data, index = ['Cochice', 'Pima', 'Santa Cruz', 'Maricopa', 'Yuma'])\n", "df" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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NAMEREPORTSYEAR
Cochice Jason 4 2012
Pima Molly 24 2012
Santa Cruz Tina 31 2013
Maricopa Jake 2 2014
Yuma Amy 3 2014
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 5, "text": [ " NAME REPORTS YEAR\n", "Cochice Jason 4 2012\n", "Pima Molly 24 2012\n", "Santa Cruz Tina 31 2013\n", "Maricopa Jake 2 2014\n", "Yuma Amy 3 2014" ] } ], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Lowercase column values" ] }, { "cell_type": "code", "collapsed": false, "input": [ "# Map the lowering function to all column names\n", "df.columns = map(str.lower, df.columns)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "df" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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namereportsyear
Cochice Jason 4 2012
Pima Molly 24 2012
Santa Cruz Tina 31 2013
Maricopa Jake 2 2014
Yuma Amy 3 2014
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 7, "text": [ " name reports year\n", "Cochice Jason 4 2012\n", "Pima Molly 24 2012\n", "Santa Cruz Tina 31 2013\n", "Maricopa Jake 2 2014\n", "Yuma Amy 3 2014" ] } ], "prompt_number": 7 } ], "metadata": {} } ] }