94ed0aa814f813d507873b18fd1c0ad84fbe385f,nilearn/plotting/tests/test_img_plotting.py,,test_plot_functions,#,61

Before Change

    import pylab as pl
    pl.switch_backend("svg")
    data = np.zeros((20, 20, 20))
    data[3:-3, 3:-3, 3:-3] = 1
    img = nibabel.Nifti1Image(data, mni_affine)
    ortho_slicer = plot_anat(img, dim=True)
    // Test saving with empty plot

After Change

    data_positive = np.zeros((7, 7, 3))
    data_positive[1:-1, 2:-1, 1:] = 1
    data_negative = -data_positive
    rng = np.random.RandomState(42)
    data_heterogeneous = data_positive * rng.randn(*data_positive.shape)
    img_positive = nibabel.Nifti1Image(data_positive, mni_affine)
    img_negative = nibabel.Nifti1Image(data_negative, mni_affine)
    img_heterogeneous = nibabel.Nifti1Image(data_heterogeneous, mni_affine)

Instances