code: def test_where_callable(self):
      # GH 12533
      df = DataFrame([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
      result = df.where(lambda x: x > 4, lambda x: x + 1)
      exp = DataFrame([[2, 3, 4], [5, 5, 6], [7, 8, 9]])
      tm.assert_frame_equal(result, exp)
      tm.assert_frame_equal(result, df.where(df > 4, df + 1))
  
      # return ndarray and scalar
      result = df.where(lambda x: (x % 2 == 0).values, lambda x: 99)
      exp = DataFrame([[99, 2, 99], [4, 99, 6], [99, 8, 99]])
      tm.assert_frame_equal(result, exp)
      tm.assert_frame_equal(result, df.where(df % 2 == 0, 99))
  
      # chain
      result = (df + 2).where(lambda x: x > 8, lambda x: x + 10)
      exp = DataFrame([[13, 14, 15], [16, 17, 18], [9, 10, 11]])
      tm.assert_frame_equal(result, exp)
      tm.assert_frame_equal(
          result, (df + 2).where((df + 2) > 8, (df + 2) + 10)
      )
  
imports: from datetime import datetime
  from hypothesis import given
  import numpy
  import pytest
  from pandas.core.dtypes.common import is_scalar
  import pandas
  from pandas import DataFrame, DatetimeIndex, Index, Series, StringDtype, Timestamp, date_range, isna
  import pandas._testing
  from pandas._testing._hypothesis import OPTIONAL_ONE_OF_ALL
label_desc: Use image node_id 23 for calling the TestDataFrameIndexingWhere obj's underlying member method code with example usage: obj.test_where_callable() without return types