def _replot_ax(ax: Axes, freq, kwargs):
data = getattr(ax, "_plot_data", None)
# clear current axes and data
ax._plot_data = []
ax.clear()
decorate_axes(ax, freq, kwargs)
lines = []
labels = []
if data is not None:
for series, plotf, kwds in data:
series = series.copy()
idx = series.index.asfreq(freq, how="S")
series.index = idx
ax._plot_data.append((series, plotf, kwds))
# for tsplot
if isinstance(plotf, str):
from pandas.plotting._matplotlib import PLOT_CLASSES
plotf = PLOT_CLASSES[plotf]._plot
lines.append(
plotf(ax, series.index._mpl_repr(), series.values, **kwds)[0])
labels.append(pprint_thing(series.name))
return lines, labels
def decorate_axes(ax: Axes, freq, kwargs):
"""Initialize axes for time-series plotting"""
if not hasattr(ax, "_plot_data"):
ax._plot_data = []
ax.freq = freq
xaxis = ax.get_xaxis()
xaxis.freq = freq
if not hasattr(ax, "legendlabels"):
ax.legendlabels = [kwargs.get("label", None)]
else:
ax.legendlabels.append(kwargs.get("label", None))
ax.view_interval = None
ax.date_axis_info = None
