{ "metadata": { "name": "", "signature": "sha256:dd6a7284493f691f951d7a1d29df2ff2c13dd3ae7f9608e80a7acd35ec24b3aa" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Creating Scatterplots with Seaborn\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 pandas as pd\n", "%matplotlib inline\n", "import random\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "df = pd.DataFrame()\n", "\n", "df['x'] = random.sample(range(1, 1000), 5)\n", "df['y'] = random.sample(range(1, 1000), 5)\n", "df['z'] = [1,0,0,1,0]\n", "df['k'] = ['male','male','male','female','female']" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "df.head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
\n", " | x | \n", "y | \n", "z | \n", "k | \n", "
---|---|---|---|---|
0 | \n", "859 | \n", "714 | \n", "1 | \n", "male | \n", "
1 | \n", "70 | \n", "321 | \n", "0 | \n", "male | \n", "
2 | \n", "378 | \n", "12 | \n", "0 | \n", "male | \n", "
3 | \n", "737 | \n", "93 | \n", "1 | \n", "female | \n", "
4 | \n", "375 | \n", "956 | \n", "0 | \n", "female | \n", "