code: def test_replace_dataframe_data_transformation(latlong_df):
      initial_df = latlong_df.copy()
      initial_df.ww.init(
          name="latlongs",
          index="string_tuple",
          logical_types={
              col_name: "LatLong" for col_name in initial_df.columns
          },
      )
      es = EntitySet()
      es.add_dataframe(dataframe=initial_df)
  
      df = to_pandas(es["latlongs"])
      expected_val = (1, 2)
      if ps and isinstance(es["latlongs"], ps.DataFrame):
          expected_val = [1, 2]
      for col in latlong_df.columns:
          series = df[col]
          assert series.iloc[0] == expected_val
  
      es.replace_dataframe("latlongs", latlong_df)
      df = to_pandas(es["latlongs"])
      expected_val = (3, 4)
      if ps and isinstance(es["latlongs"], ps.DataFrame):
          expected_val = [3, 4]
      for col in latlong_df.columns:
          series = df[col]
          assert series.iloc[-1] == expected_val
  
imports: from datetime import datetime
  import numpy
  import pandas
  import pytest
  from woodwork.exceptions import TypeConversionError
  from woodwork.logical_types import Boolean, Categorical, Datetime, Double, Integer, NaturalLanguage
  from featuretools.entityset.entityset import LTI_COLUMN_NAME, EntitySet
  from featuretools.tests.testing_utils import to_pandas
  from featuretools.utils.gen_utils import Library, import_or_none, is_instance
label_desc: Use image node_id 43 for calling a global function with example usage: test_replace_dataframe_data_transformation(latlong_df) without return types