How to use the plotnine.utils.get_valid_kwargs function in plotnine

def separate_method_kwargs(method_args, init_method, fit_method):
    # inspect the methods
    init_kwargs = get_valid_kwargs(init_method, method_args)
    fit_kwargs = get_valid_kwargs(fit_method, method_args)

    # Warn about unknown kwargs
    known_kwargs = set(init_kwargs) | set(fit_kwargs)
    unknown_kwargs = set(method_args) - known_kwargs
    if unknown_kwargs:
        raise PlotnineError(
            "The following method arguments could not be recognised: "
            "{}".format(list(unknown_kwargs))
        )
    return init_kwargs, fit_kwargs

def separate_method_kwargs(method_args, init_method, fit_method):
    # inspect the methods
    init_kwargs = get_valid_kwargs(init_method, method_args)
    fit_kwargs = get_valid_kwargs(fit_method, method_args)

    # Warn about unknown kwargs
    known_kwargs = set(init_kwargs) | set(fit_kwargs)
    unknown_kwargs = set(method_args) - known_kwargs
    if unknown_kwargs:
        raise PlotnineError(
            "The following method arguments could not be recognised: "
            "{}".format(list(unknown_kwargs))
        )
    return init_kwargs, fit_kwargs

if any([fun_y, fun_ymin, fun_ymax]):

        def func(df):
            d = {}
            if fun_y:
                kwargs = get_valid_kwargs(fun_y, fun_args)
                d['y'] = [fun_y(df['y'], **kwargs)]
            if fun_ymin:
                kwargs = get_valid_kwargs(fun_ymin, fun_args)
                d['ymin'] = [fun_ymin(df['y'], **kwargs)]
            if fun_ymax:
                kwargs = get_valid_kwargs(fun_ymax, fun_args)
                d['ymax'] = [fun_ymax(df['y'], **kwargs)]
            return pd.DataFrame(d)
    elif fun_data:
        kwargs = get_valid_kwargs(fun_data, fun_args)

        def func(df):
            return fun_data(df['y'], **kwargs)

    return func