Fix Annotations time formats
#13109
Fix Annotations time formats
#13109
Build #20250210.25 had test failures
Details
- Failed: 2 (0.02%)
- Passed: 9,779 (98.26%)
- Other: 171 (1.72%)
- Total: 9,952
- 33122 of 120162 line covered (27.56%)
Annotations
Check failure on line 5060 in Build log
azure-pipelines / mne-tools.mne-python
Build log #L5060
Cmd.exe exited with code '1'.
Check failure on line 24 in Build log
azure-pipelines / mne-tools.mne-python
Build log #L24
There are one or more test failures detected in result files. Detailed summary of published test results can be viewed in the Tests tab.
Check failure on line 24 in Build log
azure-pipelines / mne-tools.mne-python
Build log #L24
There are one or more test failures detected in result files. Detailed summary of published test results can be viewed in the Tests tab.
Check failure on line 5064 in Build log
azure-pipelines / mne-tools.mne-python
Build log #L5064
Cmd.exe exited with code '1'.
Check failure on line 1 in test_to_data_frame_time_format[datetime]
azure-pipelines / mne-tools.mne-python
test_to_data_frame_time_format[datetime]
TypeError: Cannot use .astype to convert from timezone-aware dtype to timezone-naive dtype. Use obj.tz_localize(None) or obj.tz_convert('UTC').tz_localize(None) instead.Raw output
mne\io\fiff\tests\test_raw_fiff.py:1596: in test_to_data_frame_time_format
df = raw.to_data_frame(time_format=time_format)
<decorator-gen-360>:12: in to_data_frame
???
mne\io\base.py:2470: in to_data_frame
times = _convert_times(
mne\utils\dataframe.py:49: in _convert_times
times = (to_timedelta(times + first_time, unit="s") + meas_date).astype(
C:\hostedtoolcache\windows\Python\3.12.8\x64\Lib\site-packages\pandas\core\indexes\base.py:1148: in astype
new_values = values.astype(dtype, copy=copy)
C:\hostedtoolcache\windows\Python\3.12.8\x64\Lib\site-packages\pandas\core\arrays\datetimes.py:743: in astype
raise TypeError(
E TypeError: Cannot use .astype to convert from timezone-aware dtype to timezone-naive dtype. Use obj.tz_localize(None) or obj.tz_convert('UTC').tz_localize(None) instead.
Check failure on line 1 in test_to_data_frame_time_format[datetime]
azure-pipelines / mne-tools.mne-python
test_to_data_frame_time_format[datetime]
TypeError: Cannot use .astype to convert from timezone-aware dtype to timezone-naive dtype. Use obj.tz_localize(None) or obj.tz_convert('UTC').tz_localize(None) instead.Raw output
mne\io\fiff\tests\test_raw_fiff.py:1596: in test_to_data_frame_time_format
df = raw.to_data_frame(time_format=time_format)
<decorator-gen-360>:12: in to_data_frame
???
mne\io\base.py:2470: in to_data_frame
times = _convert_times(
mne\utils\dataframe.py:49: in _convert_times
times = (to_timedelta(times + first_time, unit="s") + meas_date).astype(
C:\hostedtoolcache\windows\Python\3.10.11\x64\lib\site-packages\pandas\core\indexes\base.py:1087: in astype
new_values = values.astype(dtype, copy=copy)
C:\hostedtoolcache\windows\Python\3.10.11\x64\lib\site-packages\pandas\core\arrays\datetimes.py:720: in astype
raise TypeError(
E TypeError: Cannot use .astype to convert from timezone-aware dtype to timezone-naive dtype. Use obj.tz_localize(None) or obj.tz_convert('UTC').tz_localize(None) instead.