1021            cmap=cmap,
1022            cbar_kws={"format": "%.0f%%"},
1023        )
1024    # _sns.set(font_scale=1)1025
1026    # align plot to match other
1027    if ylabel:

 971    fig.set_facecolor("white")
 972    ax.set_facecolor("white")
 973
 974    # _sns.set(font_scale=.9) 975    if active and benchmark is not None:
 976        ax.set_title(
 977            f"{returns_label} - Monthly Active Returns (%)\n",

 946    show=True,
 947    active=False,
 948):
 949    # colors, ls, alpha = _core._get_colors(grayscale) 950    cmap = "gray" if grayscale else "RdYlGn"
 951
 952    returns = _stats.monthly_returns(returns, eoy=eoy, compounded=compounded) * 100

 217    axes[2].axhline(0, color=colors[-1], linestyle="--", lw=1, zorder=2)
 218
 219    axes[2].set_yscale("symlog" if log_scale else "linear")
 220    # axes[2].legend(fontsize=12) 221
 222    retmax = _utils._round_to_closest(returns.max() * 100, 5)
 223    retmin = _utils._round_to_closest(returns.min() * 100, 5)

 199                )
 200
 201    axes[1].set_yscale("symlog" if log_scale else "linear")
 202    # axes[1].legend(fontsize=12) 203
 204    axes[2].set_ylabel(
 205        "Daily Return", fontname=fontname, fontweight="bold", fontsize=12

 180        ddmin_ticks = ddmin / 3
 181    ddmin_ticks = int(_utils._round_to_closest(ddmin_ticks, 5))
 182
 183    # ddmin_ticks = int(_utils._round_to_closest(ddmin, 5)) 184    axes[1].set_ylabel("Drawdown", fontname=fontname, fontweight="bold", fontsize=12)
 185    axes[1].set_yticks(_np.arange(-ddmin, 0, step=ddmin_ticks))
 186    if isinstance(dd, _pd.Series):

 169    axes[0].axhline(0, color="silver", lw=1, zorder=0)
 170
 171    axes[0].set_yscale("symlog" if log_scale else "linear")
 172    # axes[0].legend(fontsize=12) 173
 174    dd = _stats.to_drawdown_series(returns) * 100
 175    ddmin = _utils._round_to_closest(abs(dd.min()), 5)