code: def test_is_float_column():
      col = pd.Series([1, 2, 3, 4, 5])
      assert_that(is_float_column(col), equal_to(False))
  
      col = pd.Series(["a", "b", "c"])
      assert_that(is_float_column(col), equal_to(False))
  
      col = pd.Series(["a", "b", 5.5])
      assert_that(is_float_column(col), equal_to(False))
  
      col = pd.Series([1, 2, 3, 4, 5], dtype="float")
      assert_that(is_float_column(col), equal_to(False))
  
      col = pd.Series([1, 2, 3, 4, 5.5], dtype="float64")
      assert_that(is_float_column(col), equal_to(True))
  
imports: import pandas
  from hamcrest import assert_that, close_to, contains_exactly, equal_to
  from scipy.stats import pearsonr
  from deepchecks.utils.dataframes import generalized_corrwith, is_float_column
label_desc: Use image node_id 2 for calling a global function with example usage: test_is_float_column() without return types