Explicitly convert result of pd.to_datetime to a timezone-naive type (#…

…3688)
pydata · Jan 13, 2020 · 59d3ba5 · 59d3ba5
1 parent 1689db4
commit 59d3ba5
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/xarray/tests/test_coding_times.py b/xarray/tests/test_coding_times.py
@@ -451,7 +451,7 @@ def test_cf_datetime_nan(num_dates, units, expected_list):
         warnings.filterwarnings("ignore", "All-NaN")
         actual = coding.times.decode_cf_datetime(num_dates, units)
     # use pandas because numpy will deprecate timezone-aware conversions
-    expected = pd.to_datetime(expected_list)
+    expected = pd.to_datetime(expected_list).to_numpy(dtype="datetime64[ns]")
     assert_array_equal(expected, actual)