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        "\n.. redirect-from:: gallery/pie_and_polar_charts/pie_demo2\n\n# Pie charts\n\nDemo of plotting a pie chart.\n\nThis example illustrates various parameters of `~matplotlib.axes.Axes.pie`.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Label slices\n\nPlot a pie chart of animals and label the slices. To add\nlabels, pass a list of labels to the *labels* parameter\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
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      "source": [
        "import matplotlib.pyplot as plt\n\nlabels = 'Frogs', 'Hogs', 'Dogs', 'Logs'\nsizes = [15, 30, 45, 10]\n\nfig, ax = plt.subplots()\nax.pie(sizes, labels=labels)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Each slice of the pie chart is a `.patches.Wedge` object; therefore in\naddition to the customizations shown here, each wedge can be customized using\nthe *wedgeprops* argument, as demonstrated in\n:doc:`/gallery/pie_and_polar_charts/nested_pie`.\n\n## Auto-label slices\n\nPass a function or format string to *autopct* to label slices.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "fig, ax = plt.subplots()\nax.pie(sizes, labels=labels, autopct='%1.1f%%')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "By default, the label values are obtained from the percent size of the slice.\n\n## Color slices\n\nPass a list of colors to *colors* to set the color of each slice.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "fig, ax = plt.subplots()\nax.pie(sizes, labels=labels,\n       colors=['olivedrab', 'rosybrown', 'gray', 'saddlebrown'])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Hatch slices\n\nPass a list of hatch patterns to *hatch* to set the pattern of each slice.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "fig, ax = plt.subplots()\nax.pie(sizes, labels=labels, hatch=['**O', 'oO', 'O.O', '.||.'])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Swap label and autopct text positions\nUse the *labeldistance* and *pctdistance* parameters to position the *labels*\nand *autopct* text respectively.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "fig, ax = plt.subplots()\nax.pie(sizes, labels=labels, autopct='%1.1f%%',\n       pctdistance=1.25, labeldistance=.6)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "*labeldistance* and *pctdistance* are ratios of the radius; therefore they\nvary between ``0`` for the center of the pie and ``1`` for the edge of the\npie, and can be set to greater than ``1`` to place text outside the pie.\n\n## Explode, shade, and rotate slices\n\nIn addition to the basic pie chart, this demo shows a few optional features:\n\n* offsetting a slice using *explode*\n* add a drop-shadow using *shadow*\n* custom start angle using *startangle*\n\nThis example orders the slices, separates (explodes) them, and rotates them.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "explode = (0, 0.1, 0, 0)  # only \"explode\" the 2nd slice (i.e. 'Hogs')\n\nfig, ax = plt.subplots()\nax.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',\n       shadow=True, startangle=90)\nplt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The default *startangle* is 0, which would start the first slice (\"Frogs\") on\nthe positive x-axis. This example sets ``startangle = 90`` such that all the\nslices are rotated counter-clockwise by 90 degrees, and the frog slice starts\non the positive y-axis.\n\n## Controlling the size\n\nBy changing the *radius* parameter, and often the text size for better visual\nappearance, the pie chart can be scaled.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "fig, ax = plt.subplots()\n\nax.pie(sizes, labels=labels, autopct='%.0f%%',\n       textprops={'size': 'smaller'}, radius=0.5)\nplt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Modifying the shadow\n\nThe *shadow* parameter may optionally take a dictionary with arguments to\nthe `.Shadow` patch. This can be used to modify the default shadow.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "fig, ax = plt.subplots()\nax.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',\n       shadow={'ox': -0.04, 'edgecolor': 'none', 'shade': 0.9}, startangle=90)\nplt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        ".. admonition:: References\n\n   The use of the following functions, methods, classes and modules is shown\n   in this example:\n\n   - `matplotlib.axes.Axes.pie` / `matplotlib.pyplot.pie`\n\n.. tags::\n\n   plot-type: pie\n   level: beginner\n\n"
      ]
    }
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