code: 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
  
imports: from __future__ import annotations
  from datetime import timedelta
  import functools
  from typing import TYPE_CHECKING, cast
  import numpy
  from pandas._libs.tslibs import BaseOffset, Period, to_offset
  from pandas._libs.tslibs.dtypes import FreqGroup
  from pandas.core.dtypes.generic import ABCDatetimeIndex, ABCPeriodIndex, ABCTimedeltaIndex
  from pandas.io.formats.printing import pprint_thing
  from pandas.plotting._matplotlib.converter import TimeSeries_DateFormatter, TimeSeries_DateLocator, TimeSeries_TimedeltaFormatter
  from pandas.tseries.frequencies import get_period_alias, is_subperiod, is_superperiod
label_desc: Use image node_id 5 for calling a global function with example usage: _replot_ax(ax, freq, kwargs) and returns: lines,  labels