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        "\n# Broken axis\n\nBroken axis example, where the y-axis will have a portion cut out.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
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      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\n\nnp.random.seed(19680801)\n\npts = np.random.rand(30)*.2\n# Now let's make two outlier points which are far away from everything.\npts[[3, 14]] += .8\n\n# If we were to simply plot pts, we'd lose most of the interesting\n# details due to the outliers. So let's 'break' or 'cut-out' the y-axis\n# into two portions - use the top (ax1) for the outliers, and the bottom\n# (ax2) for the details of the majority of our data\nfig, (ax1, ax2) = plt.subplots(2, 1, sharex=True)\nfig.subplots_adjust(hspace=0.05)  # adjust space between Axes\n\n# plot the same data on both Axes\nax1.plot(pts)\nax2.plot(pts)\n\n# zoom-in / limit the view to different portions of the data\nax1.set_ylim(.78, 1.)  # outliers only\nax2.set_ylim(0, .22)  # most of the data\n\n# hide the spines between ax and ax2\nax1.spines.bottom.set_visible(False)\nax2.spines.top.set_visible(False)\nax1.xaxis.tick_top()\nax1.tick_params(labeltop=False)  # don't put tick labels at the top\nax2.xaxis.tick_bottom()\n\n# Now, let's turn towards the cut-out slanted lines.\n# We create line objects in axes coordinates, in which (0,0), (0,1),\n# (1,0), and (1,1) are the four corners of the Axes.\n# The slanted lines themselves are markers at those locations, such that the\n# lines keep their angle and position, independent of the Axes size or scale\n# Finally, we need to disable clipping.\n\nd = .5  # proportion of vertical to horizontal extent of the slanted line\nkwargs = dict(marker=[(-1, -d), (1, d)], markersize=12,\n              linestyle=\"none\", color='k', mec='k', mew=1, clip_on=False)\nax1.plot([0, 1], [0, 0], transform=ax1.transAxes, **kwargs)\nax2.plot([0, 1], [1, 1], transform=ax2.transAxes, **kwargs)\n\n\nplt.show()"
      ]
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    {
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      "metadata": {},
      "source": [
        ".. tags::\n\n   component: axis\n   plot-type: line\n   level: intermediate\n\n"
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