pandas/tests/plotting/test_frame.py::TestDataFramePlots::test_subplots_timeseries_y_axis /Users/bmendel/Desktop/pd/matwarns/pandas/plotting/_core.py:384: FutureWarning: Converting timezone-aware DatetimeArray to timezone-naive ndarray with 'datetime64[ns]' dtype. In the future, this will return an ndarray with 'object' dtype where each element is a 'pandas.Timestamp' with the correct 'tz'.	To accept the future behavior, pass 'dtype=object'.	To keep the old behavior, pass 'dtype="datetime64[ns]"'. numeric_data[col] = np.asarray(numeric_data[col]) 

data = {"numeric": np.array([1, 2, 5]), "timedelta": [pd.Timedelta(-10, unit="s"), pd.Timedelta(10, unit="m"), pd.Timedelta(10, unit="h")], "datetime_no_tz": [pd.to_datetime("2017-08-01 00:00:00"), pd.to_datetime("2017-08-01 02:00:00"), pd.to_datetime("2017-08-02 00:00:00")], "datetime_all_tz": [pd.to_datetime("2017-08-01 00:00:00", utc=True), pd.to_datetime("2017-08-01 02:00:00", utc=True), pd.to_datetime("2017-08-02 00:00:00", utc=True)], "text": ["This", "should", "fail"]} testdata = pd.DataFrame(data) ax_datetime_no_tz = testdata.plot(y="datetime_no_tz") ax_datetime_all_tz = testdata.plot(y="datetime_all_tz")