{
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    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Automatically setting tick positions\n\nSetting the behavior of tick auto-placement.\n\nBy default, Matplotlib will choose the number of ticks and tick positions so\nthat there is a reasonable number of ticks on the axis and they are located\nat \"round\" numbers.\n\nAs a result, there may be no ticks on the edges of the plot.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\n\nnp.random.seed(19680801)\n\nfig, ax = plt.subplots()\ndots = np.linspace(0.3, 1.2, 10)\nX, Y = np.meshgrid(dots, dots)\nx, y = X.ravel(), Y.ravel()\nax.scatter(x, y, c=x+y)\nplt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "If you want to keep ticks at round numbers, and also have ticks at the edges\nyou can switch :rc:`axes.autolimit_mode` to 'round_numbers'. This expands the\naxis limits to the next round number.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "plt.rcParams['axes.autolimit_mode'] = 'round_numbers'\n\n# Note: The limits are calculated at draw-time. Therefore, when using\n# :rc:`axes.autolimit_mode` in a context manager, it is important that\n# the ``show()`` command is within the context.\n\nfig, ax = plt.subplots()\nax.scatter(x, y, c=x+y)\nplt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The round numbers autolimit_mode is still respected if you set an additional\nmargin around the data using `.Axes.set_xmargin` / `.Axes.set_ymargin`:\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "fig, ax = plt.subplots()\nax.scatter(x, y, c=x+y)\nax.set_xmargin(0.8)\nplt.show()"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
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      "file_extension": ".py",
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