def plot_drawdown_underwater(returns, ax=None, **kwargs):
    """
    Plots how far underwaterr returns are over time, or plots current
    drawdown vs. date.

    Parameters
    ----------
    returns : pd.Series
        Daily returns of the strategy, noncumulative.
         - See full explanation in tears.create_full_tear_sheet.
    ax : matplotlib.Axes, optional
        Axes upon which to plot.
    **kwargs, optional
        Passed to plotting function.

    Returns
    -------
    ax : matplotlib.Axes
        The axes that were plotted on.
    """

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

    y_axis_formatter = FuncFormatter(utils.percentage)
    ax.yaxis.set_major_formatter(FuncFormatter(y_axis_formatter))

    df_cum_rets = ep.cum_returns(returns, starting_value=1.0)
    running_max = np.maximum.accumulate(df_cum_rets)
    underwater = -100 * ((running_max - df_cum_rets) / running_max)
    (underwater).plot(ax=ax, kind='area', color='coral', alpha=0.7, **kwargs)
    ax.set_ylabel('Drawdown')
    ax.set_title('Underwater plot')
    ax.set_xlabel('')
    return ax
def plot_drawdown_underwater(returns, ax=None, **kwargs):
    """
    Plots how far underwaterr returns are over time, or plots current
    drawdown vs. date.

    Parameters
    ----------
    returns : pd.Series
        Daily returns of the strategy, noncumulative.
         - See full explanation in tears.create_full_tear_sheet.
    ax : matplotlib.Axes, optional
        Axes upon which to plot.
    **kwargs, optional
        Passed to plotting function.

    Returns
    -------
    ax : matplotlib.Axes
        The axes that were plotted on.
    """

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

    y_axis_formatter = FuncFormatter(utils.percentage)
    ax.yaxis.set_major_formatter(FuncFormatter(y_axis_formatter))

    df_cum_rets = ep.cum_returns(returns, starting_value=1.0)
    running_max = np.maximum.accumulate(df_cum_rets)
    underwater = -100 * ((running_max - df_cum_rets) / running_max)
    (underwater).plot(ax=ax, kind='area', color='coral', alpha=0.7, **kwargs)
    ax.set_ylabel('Drawdown')
    ax.set_title('Underwater plot')
    ax.set_xlabel('')
    return ax
def plot_drawdown_underwater ( returns , ax = None , * * kwargs ) : if ax is None : ax = plt . gca ( ) y_axis_formatter = FuncFormatter ( utils . percentage ) ax . yaxis . set_major_formatter ( FuncFormatter ( y_axis_formatter ) ) df_cum_rets = ep . cum_returns ( returns , starting_value = 1.0 ) running_max = np . maximum . accumulate ( df_cum_rets ) underwater = - 100 * ( ( running_max - df_cum_rets ) / running_max ) ( underwater ) . plot ( ax = ax , kind = 'area' , color = 'coral' , alpha = 0.7 , * * kwargs ) ax . set_ylabel ( 'Drawdown' ) ax . set_title ( 'Underwater plot' ) ax . set_xlabel ( '' ) return ax
Plots how far underwaterr returns are over time, or plots current
    drawdown vs. date.

    Parameters
    ----------
    returns : pd.Series
        Daily returns of the strategy, noncumulative.
         - See full explanation in tears.create_full_tear_sheet.
    ax : matplotlib.Axes, optional
        Axes upon which to plot.
    **kwargs, optional
        Passed to plotting function.

    Returns
    -------
    ax : matplotlib.Axes
        The axes that were plotted on.
Plots how far underwaterr returns are over time or plots current drawdown vs . date .