code: def _check_bar_alignment(
      self,
      df,
      kind="bar",
      stacked=False,
      subplots=False,
      align="center",
      width=0.5,
      position=0.5,
  ):
      axes = df.plot(
          kind=kind,
          stacked=stacked,
          subplots=subplots,
          align=align,
          width=width,
          position=position,
          grid=True,
      )
  
      axes = _flatten_visible(axes)
  
      for ax in axes:
          if kind == "bar":
              axis = ax.xaxis
              ax_min, ax_max = ax.get_xlim()
              min_edge = min(p.get_x() for p in ax.patches)
              max_edge = max(
                  p.get_x() + p.get_width() for p in ax.patches
              )
          elif kind == "barh":
              axis = ax.yaxis
              ax_min, ax_max = ax.get_ylim()
              min_edge = min(p.get_y() for p in ax.patches)
              max_edge = max(
                  p.get_y() + p.get_height() for p in ax.patches
              )
          else:
              raise ValueError
  
          # GH 7498
          # compare margins between lim and bar edges
          tm.assert_almost_equal(ax_min, min_edge - 0.25)
          tm.assert_almost_equal(ax_max, max_edge + 0.25)
  
          p = ax.patches[0]
          if kind == "bar" and (stacked is True or subplots is True):
              edge = p.get_x()
              center = edge + p.get_width() * position
          elif kind == "bar" and stacked is False:
              center = (
                  p.get_x() + p.get_width() * len(df.columns) * position
              )
              edge = p.get_x()
          elif kind == "barh" and (stacked is True or subplots is True):
              center = p.get_y() + p.get_height() * position
              edge = p.get_y()
          elif kind == "barh" and stacked is False:
              center = (
                  p.get_y()
                  + p.get_height() * len(df.columns) * position
              )
              edge = p.get_y()
          else:
              raise ValueError
  
          # Check the ticks locates on integer
          assert (axis.get_ticklocs() == np.arange(len(df))).all()
  
          if align == "center":
              # Check whether the bar locates on center
              tm.assert_almost_equal(axis.get_ticklocs()[0], center)
          elif align == "edge":
              # Check whether the bar's edge starts from the tick
              tm.assert_almost_equal(axis.get_ticklocs()[0], edge)
          else:
              raise ValueError
  
      return axes
  
imports: import string
  import numpy
  import pytest
  from pandas.compat import is_platform_linux
  from pandas.compat.numpy import np_version_gte1p24
  import pandas
  from pandas import DataFrame, Series, date_range
  import pandas._testing
  from pandas.tests.plotting.common import _check_axes_shape, _check_box_return_type, _check_legend_labels, _check_ticks_props, _check_visible, _flatten_visible
  from pandas.io.formats.printing import pprint_thing
label_desc: Use image node_id 37 for calling the TestDataFramePlotsSubplots obj's underlying member method code with example usage: obj._check_bar_alignment(df, kind, stacked, subplots, align, width, position) and returns: axes