def test_user_given_cmap_with_colorbar():
    img = load_mni152_template()
    oslicer = OrthoSlicer(cut_coords=(0, 0, 0))

    # Test with cmap given as a string
    oslicer.add_overlay(img, cmap='Paired', colorbar=True)
    oslicer.close()
Exemplo n.º 2
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def test_user_given_cmap_with_colorbar():
    img = load_mni152_template()
    oslicer = OrthoSlicer(cut_coords=(0, 0, 0))

    # Test with cmap given as a string
    oslicer.add_overlay(img, cmap='Paired', colorbar=True)
    oslicer.close()
Exemplo n.º 3
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def test_demo_ortho_slicer():
    # This is only a smoke test
    oslicer = OrthoSlicer(cut_coords=(0, 0, 0))
    img = load_mni152_template()
    oslicer.add_overlay(img, cmap=plt.cm.gray)
    oslicer.title("display mode is ortho")
    oslicer.close()
Exemplo n.º 4
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def test_demo_ortho_slicer():
    # This is only a smoke test
    mp.use('template', warn=False)
    import pylab as pl
    pl.switch_backend('template')
    pl.clf()
    oslicer = OrthoSlicer(cut_coords=(0, 0, 0))
    img = load_mni152_template()
    oslicer.add_overlay(img, cmap=pl.cm.gray)
    oslicer.close()
Exemplo n.º 5
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def test_demo_ortho_slicer():
    # This is only a smoke test
    mp.use('template', warn=False)
    import matplotlib.pyplot as plt
    plt.switch_backend('template')
    plt.clf()
    oslicer = OrthoSlicer(cut_coords=(0, 0, 0))
    img = load_mni152_template()
    oslicer.add_overlay(img, cmap=plt.cm.gray)
    oslicer.close()
def test_data_complete_mask():
    """This special case test is due to matplotlib 2.1.0.

    When the data is completely masked, then we have plotting issues
    See similar issue #9280 reported in matplotlib. This function
    tests the patch added for this particular issue.
    """
    # data is completely masked
    data = np.zeros((10, 20, 30))
    affine = np.eye(4)

    img = nibabel.Nifti1Image(data, affine)
    oslicer = OrthoSlicer(cut_coords=(0, 0, 0))
    oslicer.add_overlay(img)
    oslicer.close()
Exemplo n.º 7
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def test_data_complete_mask():
    """This special case test is due to matplotlib 2.1.0.

    When the data is completely masked, then we have plotting issues
    See similar issue #9280 reported in matplotlib. This function
    tests the patch added for this particular issue.
    """
    # data is completely masked
    data = np.zeros((10, 20, 30))
    affine = np.eye(4)

    img = nibabel.Nifti1Image(data, affine)
    oslicer = OrthoSlicer(cut_coords=(0, 0, 0))
    oslicer.add_overlay(img)
    oslicer.close()
Exemplo n.º 8
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def test_demo_ortho_slicer():
    # This is only a smoke test
    oslicer = OrthoSlicer(cut_coords=(0, 0, 0))
    img = load_mni152_template()
    oslicer.add_overlay(img, cmap=plt.cm.gray)
    oslicer.close()
Exemplo n.º 9
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def test_user_given_cmap_with_colorbar(img):
    """Test cmap provided as a string with ``OrthoSlicer``."""
    oslicer = OrthoSlicer(cut_coords=(0, 0, 0))
    oslicer.add_overlay(img, cmap='Paired', colorbar=True)
    oslicer.close()