{ "metadata": { "name": "", "signature": "sha256:051329459cc6653916a3b341e379b9daa79b61648c91ff12f41387634612aaea" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Matplotlib Tutorial: 1. Basic Plot Interface" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this notebook, we will explore the basic plot interface using ``plt.plot`` and ``plt.scatter``. We will also discuss the difference between the `pyplot interface`, which offers plotting with the feel of Matlab. In the following sections, we will introduce the `object-oriented interface`, which offers more flexibility and will be used throughout the remainter of the tutorial.\n", "\n", "*This tutorial is written for Python 3.3; to make it work with Python 2 we'll do some future imports:*" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from __future__ import print_function, division" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 11 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Setting up IPython" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "IPython has a built-in mode to work cleanly with matplotlib figures.\n", "The most common way to invoke it is to use the following magic command:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 12 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "A first plot: the PyPlot interface" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we're ready for a plot. The ``%pylab`` mode we entered above does a few things, among which is the\n", "import of ``pylab`` into the current namespace. For clarity, we'll do this directly here. We'll also\n", "import ``numpy`` in order to easily manipulate the arrays we'll plot:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import matplotlib.pyplot as plt\n", "import numpy as np" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 13 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's make some simple data to plot: a sinusoid" ] }, { "cell_type": "code", "collapsed": false, "input": [ "x = np.linspace(0, 20, 1000) # 100 evenly-spaced values from 0 to 50\n", "y = np.sin(x)\n", "\n", "plt.plot(x, y);" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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Ui35+vm5L9GKyjwCzfSSiHzAmN9aox/MdTPZRdTUvDvburdsSvZg8G1OKR/oi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\nqgAAAABJRU5ErkJggg==\n", "text": [ "" ] } ], "prompt_number": 14 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Customizing the plot: Axes Limits" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's play around with this a bit: first we can change the axis limits using ``xlim()`` and ``ylim()``" ] }, { "cell_type": "code", "collapsed": false, "input": [ "plt.plot(x, y)\n", "plt.xlim(5, 15)\n", "plt.ylim(-1.2, 1.2);" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 15 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Customizing the plot: Axes Labels and Titles" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can label the axes and add a title:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "plt.plot(x, y)\n", "\n", "plt.xlabel('this is x!')\n", "plt.ylabel('this is y!')\n", "plt.title('My First Plot');" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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0jYzicJOHQZraaMUKTUuTln0yeQYMgLfeUkFMOocO6YovX0kH8xQjGPlVSpOB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\n5jFmzNAFKklNO2+CkSKGD9d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"text": [ "" ] } ], "prompt_number": 16 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Labels can also be rendered using LaTeX symbols:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "y = np.sin(2 * np.pi * x)\n", "plt.plot(x, y)\n", "plt.title(r'$\\sin(2 \\pi x)$') # the `r` before the string indicates a \"raw string\";" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 17 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Customizing the plot: Line Styles" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can vary the line color or the line symbol:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "plt.plot(x, y, '-r') # solid red line ('r' comes from RGB color scheme)\n", "plt.xlim(0, 10)\n", "plt.ylim(-1.2, 1.2)\n", "\n", "plt.xlabel('this is x!')\n", "plt.ylabel('this is y!')\n", "plt.title('My First Plot');" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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lsDMfc6PlpsUAf866r0/aRalrMmmSvOZjwbmSLXy1ixMnpA+0tITTAJS/Hj51HD4MDB8u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\nRHuJaCoz7yGiaQD2lfmM3bl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"text": [ "" ] } ], "prompt_number": 18 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Other options for the color characters are:\n", "\n", " 'r' = red\n", " 'g' = green\n", " 'b' = blue\n", " 'c' = cyan\n", " 'm' = magenta\n", " 'y' = yellow\n", " 'k' = black\n", " 'w' = white\n", "\n", "Options for line styles are\n", "\n", " '-' = solid\n", " '--' = dashed\n", " ':' = dotted\n", " '-.' = dot-dashed\n", " '.' = points\n", " 'o' = filled circles\n", " '^' = filled triangles\n", "\n", "and many, many more.\n", "\n", "For more information, view the documentation of the plot function. In IPython, this can be\n", "accomplished using the ``?`` functionality:\n", " " ] }, { "cell_type": "code", "collapsed": false, "input": [ "plt.plot?" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 19 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Also see the online version of this help: http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.plot" ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Cusomizing the Plot: Legends" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Multiple lines can be shown on the same plot. In this case, you can use a legend\n", "to label the two lines:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "x = np.linspace(0, 20, 1000)\n", "y1 = np.sin(x)\n", "y2 = np.cos(x)\n", "\n", "plt.plot(x, y1, '-b', label='sine')\n", "plt.plot(x, y2, '-r', label='cosine')\n", "plt.legend(loc='upper right')\n", "plt.ylim(-1.5, 2.0);" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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FM7pyhZeZd+2qXZRXfUvv3j4ZuQG/Itdj6wQAypThQP6EBJ2XBCBIGuvChTwM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\nd+3KjlzL2rhgoqI4cm+r1ax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"text": [ "" ] } ], "prompt_number": 20 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Exercise: Linestyles & Plot Customization" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Below are two sets of arrays ``x1, y1``, and ``x2, y2``. Create a plot where\n", "``x1`` and ``y1`` are represented by blue circles, and ``x2`` and ``y2`` are\n", "represented by a dotted black line. Label the symbols \"sampled\" and\n", "\"continuous\", and add a legend. Adjust the y limits to suit your taste." ] }, { "cell_type": "code", "collapsed": false, "input": [ "x1 = np.linspace(0, 10, 20)\n", "y1 = np.sin(x1)\n", "\n", "x2 = np.linspace(0, 10, 1000)\n", "y2 = np.sin(x2)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 21 } ], "metadata": {} } ] }