def plot_volume_exposures_gross(grossed_threshold, percentile, ax=None):
if ax is None:<EOL><INDENT>ax = plt.gca()<EOL><DEDENT>ax.plot(grossed_threshold.index, grossed_threshold,<EOL>color='<STR_LIT:b>', label='<STR_LIT>')<EOL>ax.axhline(<NUM_LIT:0>, color='<STR_LIT:k>')<EOL>ax.set(title='<STR_LIT>',<EOL>ylabel='<STR_LIT>'<EOL>.format(<NUM_LIT:100> * percentile))<EOL>ax.legend(frameon=True, framealpha=<NUM_LIT:0.5>)<EOL>return ax<EOL>
Plots outputs of compute_volume_exposures as line graphs

Parameters
----------
grossed_threshold : pd.Series
    Series of grossed volume exposures (output of
    compute_volume_exposures).

percentile : float
    Percentile to use when computing and plotting volume exposures
    - See full explanation in create_risk_tear_sheet