Function test_inverted_cla

lib/matplotlib/tests/test_axes.py:516–565

()

def test_inverted_cla():
    # GitHub PR #5450. Setting autoscale should reset
    # axes to be non-inverted.
    # plotting an image, then 1d graph, axis is now down
    fig = plt.figure(0)
    ax = fig.gca()
    # 1. test that a new axis is not inverted per default
    assert not ax.xaxis_inverted()
    assert not ax.yaxis_inverted()
    img = np.random.random((100, 100))
    ax.imshow(img)
    # 2. test that a image axis is inverted
    assert not ax.xaxis_inverted()
    assert ax.yaxis_inverted()
    # 3. test that clearing and plotting a line, axes are
    # not inverted
    ax.cla()
    x = np.linspace(0, 2*np.pi, 100)
    ax.plot(x, np.cos(x))
    assert not ax.xaxis_inverted()
    assert not ax.yaxis_inverted()

    # 4. autoscaling should not bring back axes to normal
    ax.cla()
    ax.imshow(img)
    plt.autoscale()
    assert not ax.xaxis_inverted()
    assert ax.yaxis_inverted()

    for ax in fig.axes:
        ax.remove()
    # 5. two shared axes. Inverting the leader axis should invert the shared
    # axes; clearing the leader axis should bring axes in shared
    # axes back to normal.
    ax0 = plt.subplot(211)
    ax1 = plt.subplot(212, sharey=ax0)
    ax0.yaxis.set_inverted(True)
    assert ax1.yaxis_inverted()
    ax1.plot(x, np.cos(x))
    ax0.cla()
    assert not ax1.yaxis_inverted()
    ax1.cla()
    # 6. clearing the follower should not touch limits
    ax0.imshow(img)
    ax1.plot(x, np.cos(x))
    ax1.cla()
    assert ax.yaxis_inverted()

    # clean up
    plt.close(fig)


def test_subclass_clear_cla():