code: def test_replace_dataframe_already_sorted(es):
      # test already_sorted on dataframe without time index
      df = es["sessions"].copy()
      updated_id = to_pandas(df["id"])
      updated_id.iloc[1] = 2
      updated_id.iloc[2] = 1
  
      df = df.set_index("id", drop=False)
      df.index.name = None
  
      assert es["sessions"].ww.time_index is None
  
      if ps and isinstance(df, ps.DataFrame):
          df["id"] = updated_id.to_list()
          df = df.sort_index()
      elif is_instance(df, dd, "DataFrame"):
          df["id"] = updated_id
  
      es.replace_dataframe(
          dataframe_name="sessions", df=df.copy(), already_sorted=False
      )
      sessions_df = to_pandas(es["sessions"])
      assert (
          sessions_df["id"].iloc[1] == 2
      )  # no sorting since time index not defined
      es.replace_dataframe(
          dataframe_name="sessions", df=df.copy(), already_sorted=True
      )
      sessions_df = to_pandas(es["sessions"])
      assert sessions_df["id"].iloc[1] == 2
  
      # test already_sorted on dataframe with time index
      df = es["customers"].copy()
      updated_signup = to_pandas(df["signup_date"])
      updated_signup.iloc[0] = datetime(2011, 4, 11)
  
      assert es["customers"].ww.time_index == "signup_date"
  
      if ps and isinstance(df, ps.DataFrame):
          df["signup_date"] = updated_signup.to_list()
          df = df.sort_index()
      else:
          df["signup_date"] = updated_signup
  
      es.replace_dataframe(
          dataframe_name="customers", df=df.copy(), already_sorted=True
      )
      customers_df = to_pandas(es["customers"])
      assert customers_df["id"].iloc[0] == 2
  
      # only pandas allows for sorting:
      es.replace_dataframe(
          dataframe_name="customers", df=df.copy(), already_sorted=False
      )
      updated_customers = to_pandas(es["customers"])
      if isinstance(df, pd.DataFrame):
          assert updated_customers["id"].iloc[0] == 0
      else:
          assert updated_customers["id"].iloc[0] == 2
  
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 35 for calling a global function with example usage: test_replace_dataframe_already_sorted(es) without return types