def test_set_scalar_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(np.zeros((10, 10))))
    orig_X_val = adata.X.copy()
    subset_idx = slice_subset(adata.obs_names)

    adata_subset = adata[subset_idx, :]

    adata_subset.X = 1

    assert adata_subset.is_view
    assert np.all(asarray(adata[subset_idx, :].X) == 1)

    assert asarray((orig_X_val != adata.X)).sum() == mul(*adata_subset.shape)
def _create_3d_axis():
    """creates a subplot with 3d projection if one does not already exist"""
    from matplotlib.projections import get_projection_class
    from matplotlib import _pylab_helpers

    create_axis = True
    if _pylab_helpers.Gcf.get_active() is not None:
        if isinstance(plt.gca(), get_projection_class('3d')):
            create_axis = False
    if create_axis:
        plt.figure()
        plt.subplot(111, projection='3d')