{ "metadata": { "name": "", "signature": "sha256:f3617b28879ac96ad450c6696270f035b87f6b74344ac749791b1e17ea6ecb04" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Matplotlib Tutorial: 2. Object-oriented Plotting" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the previous section of the tutorial we covered Matlab-style plotting with the\n", "``pylab`` interface. Here we will cover a slightly more complicated interface\n", "offered by matplotlb, which will be much more powerful in the long-run. This\n", "object-oriented approach is the recommended API in most data visualization\n", "scenarios.\n", "\n", "As part of this discussion, we will discuss generating multi-panel plots using\n", "the ``subplot`` and ``subplots`` commands\n", "\n", "As before, we'll start by entering the matplotlib inline mode & doing some future imports:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline\n", "from __future__ import print_function, division" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Behind the scenes: Figure and Axes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "When we called ``pylab.plot`` previously, there were a few things happening in the background:\n", "\n", "- matplotlib created a ``Figure`` instance, which is an object describing the plot window and\n", " its properties, and containing lists of all its elements\n", "- matplotlib created an ``Axes`` element within the figure. An axes can be thought of as a\n", " plotting window, where data can be arranged by ``x`` and ``y`` coordinates.\n", "\n", "We're going to repeat some of the previous examples now, except we will specify these ``Figure``\n", "and ``Axes`` instances explicitly:\n", "\n", "First we need to import the ``pyplot`` interface. The conventional way to do this is as follows:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import matplotlib.pyplot as plt" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we will create our figure and axes:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "fig = plt.figure() # a new figure window\n", "ax = fig.add_subplot(1, 1, 1) # specify (nrows, ncols, axnum)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "As we can see, this creates a blank axes. Now we can call ``plot`` as we\n", "did before, except now we use the ``plot`` method of ``ax``:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import numpy as np\n", "x = np.linspace(0, 10, 1000)\n", "y = np.sin(x)\n", "\n", "ax.plot(x, y)\n", "fig # this is required to re-display the figure" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "png": 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"prompt_number": 4, "text": [ "" ] } ], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can already see one advantage to the new interface: the figure remains open between\n", "IPython commands! There are ways to make this happen using the ``pylab`` interface we\n", "saw previously, but they're much less clean.\n", "\n", "Let's see this explicitly by now over-plotting a cosine:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "y2 = np.cos(x)\n", "ax.plot(x, y2)\n", "\n", "fig" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "png": 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3z+Dq/auipWiGcvHkzYErB1CldBU0rNxQtBTNCA+3TaHCwnBgDgj0DJRqAdW7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\nf2Q+UtJTREspNnsv78WVe1cQ7BX852t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"prompt_number": 5, "text": [ "" ] } ], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can set the axes limits using ``ax.set_xlim`` rather than ``pylab.xlim``:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "ax.set_ylim(-1.5, 2.0)\n", "fig" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "png": 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XHUUzU6bIn+ho1Uks45eTv6BsvrKo82Ed1VE0kZgomxamTpVzw9iCLOmzYEzt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\nvaAQwjdpswIAAoUQZwEcB7CdiPaYGpo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"prompt_number": 6, "text": [ "" ] } ], "prompt_number": 6 }, { "cell_type": "markdown", "metadata": {}, "source": [ "And, as before, we can add a legend:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "ax.legend(['sine', 'cosine'])\n", "fig" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "png": 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WpF+O/WLQ41Py669EBQsSHT2q2S7TLCmJyMdHNifZy5kKI0pISqDOGzpTxXkV6dbTW2Y/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\nQ3YOsZmpl9u0kf/94w/zHzs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"prompt_number": 7, "text": [ "" ] } ], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that in this case, we didn't label the lines when we first drew them, but instead\n", "called ``legend()`` with a list of labels.\n", "\n", "We can similarly annotate the plot using the ``set_*`` methods" ] }, { "cell_type": "code", "collapsed": false, "input": [ "ax.set_xlabel(\"$x$\")\n", "ax.set_ylabel(\"$\\sin(x)$\")\n", "ax.set_title(\"I like $\\pi$\")\n", "\n", "fig" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "png": 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Et+YxSOmAxPPnrTbL5cvh/vs9k2n3md3UmlqLHW/sIE+mPJ45iJd17mx1YRw3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\naeJnzrT+H555xukk3tGnVh9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"prompt_number": 8, "text": [ "" ] } ], "prompt_number": 8 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Multi-panel Figures: Subplots" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Above we snuck over a new command: ``fig.add_subplot``. This command allows us to\n", "create a grid of plot panels that can show any sort of plot. The interface is\n", "\n", " fig.add_subplot(rows, cols, num)\n", "\n", "In this case the ``rows`` tells how many rows are in the grid, the ``cols`` tells\n", "how many columns are in the grid, and the ``num`` tells the number of the subplot\n", "to create: counting from left to right, top to bottom and indexed starting at 1.\n", "(The 1-based counting is an unfortunate hold-over from the command's matlab roots).\n", "\n", "For example:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "fig = plt.figure()\n", "for i in range(6):\n", " ax = fig.add_subplot(2, 3, i + 1)\n", " ax.set_title(\"Plot #%i\" % i)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 9 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We immediately see a problem: our labels are overlapping. There are a few ways\n", "to deal with this, but one is to use the ``subplots_adjust`` command. We'll\n", "adjust the width between each plot (``wspace``), and the height between each\n", "plot (``hspace``) as a fraction of the size of each plot:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "fig.subplots_adjust(wspace=0.3, hspace=0.3)\n", "fig" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "png": 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"prompt_number": 10, "text": [ "" ] } ], "prompt_number": 10 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can now plot anything we desire in the plots. For example:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "x = np.linspace(0, 10, 1000)\n", "for i in range(6):\n", " fig.axes[i].plot(x, np.sin(i * x))\n", " \n", "fig" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "png": 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Bf5HyeSMvLxW7dqkOG6a6d29xWhs2qI4erXroUHFaZeC663oejx99VPWcc/Lb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\nmXdEO80d6oo+pQxshWRI4R3Ra5Rl4BIoj+i1sjL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"prompt_number": 11, "text": [ "" ] } ], "prompt_number": 11 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Easy Pythonic Subplotting: plt.subplots()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Matplotlib 1.0 (June 2010) added an even nicer subplot interface,\n", "``plt.subplots``. It automates the creation of the figure and\n", "subplots.\n", "\n", "First we'll create just a single figure and axes:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "# create just a single figure and axes\n", "fig, ax = plt.subplots()\n", "\n", "ax.plot(x, np.sin(x));" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 12 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can also create multiple subplots and plot the same data as above:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "fig, ax = plt.subplots(2, 3) # 2x3 grid\n", "\n", "for i in range(2):\n", " for j in range(3):\n", " ax[i, j].plot(x, np.sin((3 * i + j) * x))" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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qxkaJYnxAradJO0NBBxU73IaZ9zLzytLrJwCsB+AQ5ATUKl54wc9WDEmYPl1OTSvy4HVb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\np5U33TbuqPOur6uT7010pbeOjqjjPH48e5W46fV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"text": [ "" ] } ], "prompt_number": 13 }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this case, we know that all the plots have the same ``x`` range and the\n", "same ``y`` range, and it would be nice if we could take away all the\n", "unnecessary labels. This can be done by specifying ``sharex`` or ``sharey``:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "fig, ax = plt.subplots(2, 3, sharex=True, sharey=True) # 2x3 grid\n", "\n", "for i in range(2):\n", " for j in range(3):\n", " ax[i, j].plot(x, np.sin((3 * i + j) * x))" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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aGk4D/t73gF//msONaS7iAgYXo0tiCoC9vtf7AFydsk4HB2VUVQE//SkfxLZu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\nHBwcKgj/DwON0Cnlw0N2AAAAAElFTkSuQmCC\n", "text": [ "" ] } ], "prompt_number": 14 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "More Complicated Gridding: GridSpec" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sometimes more complicated gridding and subplotting is desired. Matplotlib 1.0 also\n", "added the ``gridspec`` module, which offers a lot of flexibility in creating\n", "multiple axes. For example:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "fig = plt.figure(figsize=(8, 8))\n", "gs = plt.GridSpec(3, 3)\n", "ax1 = fig.add_subplot(gs[0, :])\n", "ax2 = fig.add_subplot(gs[1, :2])\n", "ax3 = fig.add_subplot(gs[1:, 2])\n", "ax4 = fig.add_subplot(gs[2, 0])\n", "ax5 = fig.add_subplot(gs[2, 1])" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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