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# Spines

This demo compares:
  - normal axes, with spines on all four sides;
  - an axes with spines only on the left and bottom;
  - an axes using custom bounds to limit the extent of the spine.

    import numpy as np
    import matplotlib.pyplot as plt

    x = np.linspace(0, 2 * np.pi, 100)
    y = 2 * np.sin(x)

    fig, (ax0, ax1, ax2) = plt.subplots(nrows=3)

    ax0.plot(x, y)
    ax0.set_title('normal spines')

    ax1.plot(x, y)
    ax1.set_title('bottom-left spines')

    # Hide the right and top spines
    ax1.spines['right'].set_visible(False)
    ax1.spines['top'].set_visible(False)
    # Only show ticks on the left and bottom spines
    ax1.yaxis.set_ticks_position('left')
    ax1.xaxis.set_ticks_position('bottom')

    ax2.plot(x, y)

    # Only draw spine between the y-ticks
    ax2.spines['left'].set_bounds(-1, 1)
    # Hide the right and top spines
    ax2.spines['right'].set_visible(False)
    ax2.spines['top'].set_visible(False)
    # Only show ticks on the left and bottom spines
    ax2.yaxis.set_ticks_position('left')
    ax2.xaxis.set_ticks_position('bottom')

    # Tweak spacing between subplots to prevent labels from overlapping
    plt.subplots_adjust(hspace=0.5)
    plt.show()

Total running time of the script: ( 0 minutes 0.066 seconds)

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