code: def boxplot_frame_groupby(
      grouped,
      subplots: bool = True,
      column=None,
      fontsize: int | None = None,
      rot: int = 0,
      grid: bool = True,
      ax=None,
      figsize: tuple[float, float] | None = None,
      layout=None,
      sharex: bool = False,
      sharey: bool = True,
      **kwds,
  ):
      if subplots is True:
          naxes = len(grouped)
          fig, axes = create_subplots(
              naxes=naxes,
              squeeze=False,
              ax=ax,
              sharex=sharex,
              sharey=sharey,
              figsize=figsize,
              layout=layout,
          )
          axes = flatten_axes(axes)
  
          ret = pd.Series(dtype=object)
  
          for (key, group), ax in zip(grouped, axes):
              d = group.boxplot(
                  ax=ax,
                  column=column,
                  fontsize=fontsize,
                  rot=rot,
                  grid=grid,
                  **kwds,
              )
              ax.set_title(pprint_thing(key))
              ret.loc[key] = d
          maybe_adjust_figure(
              fig, bottom=0.15, top=0.9, left=0.1, right=0.9, wspace=0.2
          )
      else:
          keys, frames = zip(*grouped)
          if grouped.axis == 0:
              df = pd.concat(frames, keys=keys, axis=1)
          elif len(frames) > 1:
              df = frames[0].join(frames[1::])
          else:
              df = frames[0]
  
          # GH 16748, DataFrameGroupby fails when subplots=False and `column` argument
          # is assigned, and in this case, since `df` here becomes MI after groupby,
          # so we need to couple the keys (grouped values) and column (original df
          # column) together to search for subset to plot
          if column is not None:
              column = com.convert_to_list_like(column)
              multi_key = pd.MultiIndex.from_product([keys, column])
              column = list(multi_key.values)
          ret = df.boxplot(
              column=column,
              fontsize=fontsize,
              rot=rot,
              grid=grid,
              ax=ax,
              figsize=figsize,
              layout=layout,
              **kwds,
          )
      return ret
  
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 6 for calling a global function with example usage: boxplot_frame_groupby(grouped, subplots, column, fontsize, rot, grid, ax, figsize, layout, sharex, sharey) and returns: ret