{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# `prettyplotlib.boxplot`\n", "\n", "The original matplotlib boxplots are okay, but their lines are too thick and the blues and reds are a little garish." ] }, { "cell_type": "code", "collapsed": false, "input": [ "import matplotlib.pyplot as plt\n", "np.random.seed(10)\n", "\n", "data = np.random.randn(8, 4)\n", "labels = ['A', 'B', 'C', 'D']\n", "\n", "fig, ax = plt.subplots()\n", "ax.boxplot(data)\n", "ax.set_xticklabels(labels)\n", "fig.savefig('boxplot_matplotlib_default.png')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 1 }, { "cell_type": "markdown", "metadata": {}, "source": [ "In `prettyplotlib`, we did the usual softening of the blacks and removing of the axes. We also changed the colors of the boxplot, which is actually really annoying to do by hand:\n", "\n", " import brewer2mpl\n", " set1 = brewer2mpl.get_map('Set1', 'qualitative', 7).mpl_colors\n", "\n", " bp = ax.boxplot(x, **kwargs)\n", " plt.setp(bp['boxes'], color=set1[1], linewidth=0.5)\n", " plt.setp(bp['medians'], color=set1[0])\n", " plt.setp(bp['whiskers'], color=set1[1], linestyle='solid', linewidth=0.5)\n", " plt.setp(bp['fliers'], color=set1[1])\n", " plt.setp(bp['caps'], color='none')\n", "\n", "So using `prettyplotlib.boxplot` is much easier." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%load_ext autoreload\n", "%autoreload 2" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "The autoreload extension is already loaded. To reload it, use:\n", " %reload_ext autoreload\n" ] } ], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "import prettyplotlib as ppl\n", "import matplotlib as mpl\n", "\n", "np.random.seed(10)\n", "\n", "data = np.random.randn(8, 4)\n", "labels = ['A', 'B', 'C', 'D']\n", "\n", "fig, ax = plt.subplots()\n", "ppl.boxplot(ax, data, xticklabels=labels)\n", "fig.savefig('boxplot_prettyplotlib_default.png')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "As of v0.1.4, this also works without an `ax` as the first argument!!" ] }, { "cell_type": "code", "collapsed": false, "input": [ "ppl.boxplot(data, xticklabels=labels)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 4, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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