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        "\n# Spines\n\nThis demo compares:\n\n- normal Axes, with spines on all four sides;\n- an Axes with spines only on the left and bottom;\n- an Axes using custom bounds to limit the extent of the spine.\n\nEach `.axes.Axes` has a list of `.Spine` objects, accessible\nvia the container ``ax.spines``.\n\n.. redirect-from:: /gallery/spines/spines_bounds\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\nx = np.linspace(0, 2 * np.pi, 100)\ny = 2 * np.sin(x)\n\n# Constrained layout makes sure the labels don't overlap the Axes.\nfig, (ax0, ax1, ax2) = plt.subplots(nrows=3, layout='constrained')\n\nax0.plot(x, y)\nax0.set_title('normal spines')\n\nax1.plot(x, y)\nax1.set_title('bottom-left spines')\n\n# Hide the right and top spines\nax1.spines.right.set_visible(False)\nax1.spines.top.set_visible(False)\n\nax2.plot(x, y)\nax2.set_title('spines with bounds limited to data range')\n\n# Only draw spines for the data range, not in the margins\nax2.spines.bottom.set_bounds(x.min(), x.max())\nax2.spines.left.set_bounds(y.min(), y.max())\n# Hide the right and top spines\nax2.spines.right.set_visible(False)\nax2.spines.top.set_visible(False)\n\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.artist.Artist.set_visible`\n   - `matplotlib.spines.Spine.set_bounds`\n\n"
      ]
    }
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