def plot_volume_exposures_longshort(longed_threshold, shorted_threshold,
                                    percentile, ax=None):
    """
    Plots outputs of compute_volume_exposures as line graphs

    Parameters
    ----------
    longed_threshold, shorted_threshold : pd.Series
        Series of longed and shorted 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
    """

    if ax is None:
        ax = plt.gca()

    ax.plot(longed_threshold.index, longed_threshold,
            color='b', label='long')
    ax.plot(shorted_threshold.index, shorted_threshold,
            color='r', label='short')
    ax.axhline(0, color='k')
    ax.set(title='Long and short exposures to illiquidity',
           ylabel='{}th percentile of proportion of volume (%)'
           .format(100 * percentile))
    ax.legend(frameon=True, framealpha=0.5)

    return ax
def plot_volume_exposures_longshort(longed_threshold, shorted_threshold,
                                    percentile, ax=None):
    """
    Plots outputs of compute_volume_exposures as line graphs

    Parameters
    ----------
    longed_threshold, shorted_threshold : pd.Series
        Series of longed and shorted 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
    """

    if ax is None:
        ax = plt.gca()

    ax.plot(longed_threshold.index, longed_threshold,
            color='b', label='long')
    ax.plot(shorted_threshold.index, shorted_threshold,
            color='r', label='short')
    ax.axhline(0, color='k')
    ax.set(title='Long and short exposures to illiquidity',
           ylabel='{}th percentile of proportion of volume (%)'
           .format(100 * percentile))
    ax.legend(frameon=True, framealpha=0.5)

    return ax
def plot_volume_exposures_longshort ( longed_threshold , shorted_threshold , percentile , ax = None ) : if ax is None : ax = plt . gca ( ) ax . plot ( longed_threshold . index , longed_threshold , color = 'b' , label = 'long' ) ax . plot ( shorted_threshold . index , shorted_threshold , color = 'r' , label = 'short' ) ax . axhline ( 0 , color = 'k' ) ax . set ( title = 'Long and short exposures to illiquidity' , ylabel = '{}th percentile of proportion of volume (%)' . format ( 100 * percentile ) ) ax . legend ( frameon = True , framealpha = 0.5 ) return ax
Plots outputs of compute_volume_exposures as line graphs

    Parameters
    ----------
    longed_threshold, shorted_threshold : pd.Series
        Series of longed and shorted 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
Plots outputs of compute_volume_exposures as line graphs