code: def _make_plot(self) -> None:
      colors = self._get_colors()
      stacking_id = self._get_stacking_id()
  
      # Re-create iterated data if `by` is assigned by users
      data = (
          create_iter_data_given_by(self.data, self._kind)
          if self.by is not None
          else self.data
      )
  
      for i, (label, y) in enumerate(self._iter_data(data=data)):
          ax = self._get_ax(i)
  
          kwds = self.kwds.copy()
  
          label = pprint_thing(label)
          label = self._mark_right_label(label, index=i)
          kwds["label"] = label
  
          style, kwds = self._apply_style_colors(colors, kwds, i, label)
          if style is not None:
              kwds["style"] = style
  
          kwds = self._make_plot_keywords(kwds, y)
  
          # the bins is multi-dimension array now and each plot need only 1-d and
          # when by is applied, label should be columns that are grouped
          if self.by is not None:
              kwds["bins"] = kwds["bins"][i]
              kwds["label"] = self.columns
              kwds.pop("color")
  
          # We allow weights to be a multi-dimensional array, e.g. a (10, 2) array,
          # and each sub-array (10,) will be called in each iteration. If users only
          # provide 1D array, we assume the same weights is used for all iterations
          weights = kwds.get("weights", None)
          if weights is not None:
              if np.ndim(weights) != 1 and np.shape(weights)[-1] != 1:
                  try:
                      weights = weights[:, i]
                  except IndexError as err:
                      raise ValueError(
                          "weights must have the same shape as data, "
                          "or be a single column"
                      ) from err
              weights = weights[~isna(y)]
              kwds["weights"] = weights
  
          y = reformat_hist_y_given_by(y, self.by)
  
          artists = self._plot(
              ax, y, column_num=i, stacking_id=stacking_id, **kwds
          )
  
          # when by is applied, show title for subplots to know which group it is
          if self.by is not None:
              ax.set_title(pprint_thing(label))
  
          self._append_legend_handles_labels(artists[0], label)
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Literal
  import numpy
  from pandas._typing import PlottingOrientation
  from pandas.core.dtypes.common import is_integer, is_list_like
  from pandas.core.dtypes.generic import ABCDataFrame, ABCIndex
  from pandas.core.dtypes.missing import isna, remove_na_arraylike
  from pandas.io.formats.printing import pprint_thing
  from pandas.plotting._matplotlib.core import LinePlot, MPLPlot
  from pandas.plotting._matplotlib.groupby import create_iter_data_given_by, reformat_hist_y_given_by
  from pandas.plotting._matplotlib.misc import unpack_single_str_list
  from pandas.plotting._matplotlib.tools import create_subplots, flatten_axes, maybe_adjust_figure, set_ticks_props
label_desc: Use image node_id 6 for calling the HistPlot obj's underlying member method code with example usage: obj._make_plot() without return types