FIX-#2195: add test

Signed-off-by: Anatoly Myachev <anatoly.myachev@intel.com>

Author: anmyachev

modin/backends/pandas/query_compiler.py

@@ -27,7 +27,8 @@
 from modin.backends.base.query_compiler import BaseQueryCompiler
 from modin.error_message import ErrorMessage
 from modin.utils import try_cast_to_pandas, wrap_udf_function
-from modin.pandas import Index
+
+# from modin.pandas import Index
 from modin.data_management.functions import (
     FoldFunction,
     MapFunction,
@@ -1570,7 +1571,8 @@ def describe(self, **kwargs):
             for col_name in empty_df.dtypes.index:
                 # if previosly type of `col_name` was datetime or timedelta
                 if is_datetime_or_timedelta_dtype(self.dtypes[col_name]):
-                    new_index = Index(empty_df.index.to_list() + ["first"] + ["last"])
+                    pass
+                    # new_index = Index(empty_df.index.to_list() + ["first"] + ["last"])
 
         def describe_builder(df, internal_indices=[]):
             return df.iloc[:, internal_indices].describe(**kwargs)

modin/pandas/test/dataframe/test_reduction.py

@@ -140,6 +140,22 @@ def test_describe(data, percentiles):
     )
 
 
+@pytest.mark.parametrize("datetime_is_numeric", [True, False, None])
+def test_2195(datetime_is_numeric):
+    data = {
+        "categorical": pd.Categorical(["d"] * 10 ** 2),
+        "date": [np.datetime64("2000-01-01")] * 10 ** 2,
+    }
+
+    modin_df, pandas_df = pd.DataFrame(data), pandas.DataFrame(data)
+
+    eval_general(
+        modin_df,
+        pandas_df,
+        lambda df: df.describe(datetime_is_numeric=datetime_is_numeric),
+    )
+
+
 @pytest.mark.parametrize(
     "exclude,include",
     [