{ "metadata": { "name": "", "signature": "sha256:8692cdf1789e4cf4fb884551822bbeebd4e521e69c21b00fb09828f6319c62e5" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# List Unique Values In A Pandas Column\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": 6 }, { "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": [ "
\n", " | name | \n", "reports | \n", "year | \n", "
---|---|---|---|
Cochice | \n", "Jason | \n", "4 | \n", "2012 | \n", "
Pima | \n", "Molly | \n", "24 | \n", "2012 | \n", "
Santa Cruz | \n", "Tina | \n", "31 | \n", "2013 | \n", "
Maricopa | \n", "Jake | \n", "2 | \n", "2014 | \n", "
Yuma | \n", "Amy | \n", "3 | \n", "2014 | \n", "