def METHOD_NAME(
    symmetric_cbar, vmin, vmax, symmetric_data_range, data
):
    """Help for expected_results.
    Return the expected `cbar_vmin`, `cbar_vmax`, `vmin`,
    and `vmax` for positive data.
    """
    data_min = np.nanmin(data)
    data_max = np.nanmax(data)
    if symmetric_cbar is True:
        if vmax is None and vmin is None:
            return (None, None, -data_max, data_max)
        else:
            return (None, None, -2, 2)
    elif symmetric_data_range:
        if vmax is None:
            return (0, None, -data_max, data_max)
        else:
            return (0, None, -2, 2)
    else:
        if vmin is None and vmax is None:
            return (0, None, data_min, data_max)
        elif vmin is None:
            return (0, None, data_min, vmax)
        elif vmax is None:
            return (0, None, vmin, data_max)
        else:
            return (0, None, vmin, vmax)