def test_set_obs(adata, subset_func):
    init_hash = joblib.hash(adata)

    subset = adata[subset_func(adata.obs_names), :]

    new_obs = pd.DataFrame(
        dict(a=np.ones(subset.n_obs), b=np.ones(subset.n_obs)),
        index=subset.obs_names,
    )

    assert subset.is_view
    subset.obs = new_obs
    assert not subset.is_view
    assert np.all(subset.obs == new_obs)

    assert joblib.hash(adata) == init_hash
def transientsc(bch, title=''):
    """creates a transient short circuit plot"""
    cols = 1
    rows = 2
    htitle = 1.5 if title else 0
    fig, ax = plt.subplots(nrows=rows, ncols=cols,
                           figsize=(10, 3*rows + htitle))
    if title:
        fig.suptitle(title, fontsize=16)

    row = 1
    plt.subplot(rows, cols, row)
    ax = plt.gca()
    ax.set_title('Currents / A')
    ax.grid(True)
    for i in ('ia', 'ib', 'ic'):
        ax.plot(bch.scData['time'], bch.scData[i], label=i)
    ax.set_xlabel('Time / s')
    ax.legend()

    row = 2
    plt.subplot(rows, cols, row)
    ax = plt.gca()
    ax.set_title('Torque / Nm')
    ax.grid(True)
    ax.plot(bch.scData['time'], bch.scData['torque'])
    ax.set_xlabel('Time / s')

    fig.tight_layout(h_pad=2)
    if title:
        fig.subplots_adjust(top=0.92)