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 i1beta_torque(i1, beta, torque, title='', ax=0):
    """creates a surface plot of torque vs i1, beta"""
    if ax == 0:
        _create_3d_axis()
        ax = plt.gca()
    azim = 210
    if 0 < np.mean(beta) or -90 > np.mean(beta):
        azim = -60
    unit = 'Nm'
    scale = 1
    if np.min(torque) < -9.9e3 or np.max(torque) > 9.9e3:
        scale = 1e-3
        unit = 'kNm'
    if title:
        _plot_surface(ax, i1, beta, scale*np.asarray(torque),
                      (u'I1/A', u'Beta/°', title),
                      azim=azim)
    else:
        _plot_surface(ax, i1, beta, scale*np.asarray(torque),
                      (u'I1/A', u'Beta/°', u'Torque/{}'.format(unit)),
                      azim=azim)