How to use the missingno.bar function in missingno

def test_simple_bar(self):
        msno.bar(self.simple_df)
        return plt.gcf()

def test_log_bar(self):
        msno.bar(self.simple_df, log=True)
        return plt.gcf()

def missing_bar(data: pd.DataFrame) -> str:
    """Generate missing values bar plot.

    Args:
      data: Pandas DataFrame to generate missing values bar plot from.

    Returns:
      The resulting missing values bar plot encoded as a string.
    """
    labels = config["plot"]["missing"]["force_labels"].get(bool)
    missingno.bar(
        data,
        figsize=(10, 5),
        color=hex_to_rgb(config["style"]["primary_color"].get(str)),
        fontsize=get_font_size(data),
        labels=labels,
    )
    for ax0 in plt.gcf().get_axes():
        ax0.grid(False)
    plt.subplots_adjust(left=0.1, right=0.9, top=0.8, bottom=0.3)
    return plot_360_n0sc0pe(plt)

def plot_md_percent(data, **kwargs):
    """Plot the percentage of missing data by column within a DataFrame.

    Args:
        data (pd.DataFrame): DataFrame to plot.
        **kwargs: Keyword arguments for plot. Passed to missingno.bar.

    Returns:
        matplotlib.axes._subplots.AxesSubplot: missingness percent plot.

    Raises:
        TypeError: if data is not a DataFrame. Error raised through decorator.
    """
    _default_plot_args(**kwargs)
    msno.bar(data, **kwargs)