code: def _plot(  # type: ignore[override]
      cls,
      ax: Axes,
      y: np.ndarray,
      column_num=None,
      return_type: str = "axes",
      **kwds,
  ):
      ys: np.ndarray | list[np.ndarray]
      if y.ndim == 2:
          ys = [remove_na_arraylike(v) for v in y]
          # Boxplot fails with empty arrays, so need to add a NaN
          #   if any cols are empty
          # GH 8181
          ys = [v if v.size > 0 else np.array([np.nan]) for v in ys]
      else:
          ys = remove_na_arraylike(y)
      bp = ax.boxplot(ys, **kwds)
  
      if return_type == "dict":
          return bp, bp
      elif return_type == "both":
          return cls.BP(ax=ax, lines=bp), bp
      else:
          return ax, bp
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Literal, NamedTuple
  import warnings
  from matplotlib.artist import setp
  import numpy
  from pandas._libs import lib
  from pandas.util._decorators import cache_readonly
  from pandas.util._exceptions import find_stack_level
  from pandas.core.dtypes.common import is_dict_like
  from pandas.core.dtypes.generic import ABCSeries
  from pandas.core.dtypes.missing import remove_na_arraylike
  import pandas
  import pandas.core.common
  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
  from pandas.plotting._matplotlib.style import get_standard_colors
  from pandas.plotting._matplotlib.tools import create_subplots, flatten_axes, maybe_adjust_figure
label_desc: Use image node_id 3 for calling the BoxPlot obj's underlying member method code with example usage: obj._plot(cls, ax, y, column_num, return_type) and returns: bp,  bp, cls,  bp, ax,  bp