@@ -5915,12 +5915,6 @@ def test_dataframe_explode_xfail(col_names):
59155915 pytest .param ("datetime_col" , "5M" , "epoch" ),
59165916 pytest .param ("datetime_col" , "3Q" , "start_day" ),
59175917 pytest .param ("datetime_col" , "3YE" , "start" ),
5918- pytest .param (
5919- "int64_col" , "100D" , "start" , marks = pytest .mark .xfail (raises = TypeError )
5920- ),
5921- pytest .param (
5922- "datetime_col" , "100D" , "end" , marks = pytest .mark .xfail (raises = ValueError )
5923- ),
59245918 ],
59255919)
59265920def test_resample_with_column (
@@ -5929,7 +5923,7 @@ def test_resample_with_column(
59295923 # TODO: supply a reason why this isn't compatible with pandas 1.x
59305924 pytest .importorskip ("pandas" , minversion = "2.0.0" )
59315925 bf_result = (
5932- scalars_df_index ._resample (rule = rule , on = on , origin = origin )[
5926+ scalars_df_index .resample (rule = rule , on = on , origin = origin )[
59335927 ["int64_col" , "int64_too" ]
59345928 ]
59355929 .max ()
@@ -6042,7 +6036,7 @@ def test_resample_start_time(rule, origin, data):
60426036 scalars_pandas_df_index = pd .DataFrame (data ).set_index (col )
60436037 scalars_pandas_df_index .index .name = None
60446038
6045- bf_result = scalars_df_index ._resample (rule = rule , origin = origin ).min ().to_pandas ()
6039+ bf_result = scalars_df_index .resample (rule = rule , origin = origin ).min ().to_pandas ()
60466040
60476041 pd_result = scalars_pandas_df_index .resample (rule = rule , origin = origin ).min ()
60486042
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