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  • TomAugspurger · 3 ✖

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  • Test failures with pandas master · 3 ✖

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579517151 https://github.com/pydata/xarray/issues/3673#issuecomment-579517151 https://api.github.com/repos/pydata/xarray/issues/3673 MDEyOklzc3VlQ29tbWVudDU3OTUxNzE1MQ== TomAugspurger 1312546 2020-01-28T23:12:47Z 2020-01-28T23:12:47Z MEMBER

FYI, we had some failures in our nightly wheel builds so they weren't updated in a while. https://github.com/MacPython/pandas-wheels/pull/70 fixed that, so you'll hopefully get a new wheel tonight.

On Tue, Jan 28, 2020 at 5:09 PM Deepak Cherian notifications@github.com wrote:

should be closed by pandas-dev/pandas#31136 https://github.com/pandas-dev/pandas/pull/31136 . I think the tests will turn green once the wheels update

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   Test failures with pandas master 547012915
575688251 https://github.com/pydata/xarray/issues/3673#issuecomment-575688251 https://api.github.com/repos/pydata/xarray/issues/3673 MDEyOklzc3VlQ29tbWVudDU3NTY4ODI1MQ== TomAugspurger 1312546 2020-01-17T16:06:23Z 2020-01-17T16:06:23Z MEMBER 
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   Test failures with pandas master 547012915
574256856 https://github.com/pydata/xarray/issues/3673#issuecomment-574256856 https://api.github.com/repos/pydata/xarray/issues/3673 MDEyOklzc3VlQ29tbWVudDU3NDI1Njg1Ng== TomAugspurger 1312546 2020-01-14T16:25:50Z 2020-01-14T16:25:50Z MEMBER

@jbrockmendel likely knows more about the index arithmetic issue.

```python In [22]: import xarray as xr

In [23]: import pandas as pd

In [24]: idx = pd.timedelta_range("1D", periods=5, freq="D")

In [25]: a = xr.cftime_range("2000", periods=5)

In [26]: idx + a /Users/taugspurger/sandbox/pandas/pandas/core/arrays/datetimelike.py:1204: PerformanceWarning: Adding/subtracting array of DateOffsets to TimedeltaArray not vectorized PerformanceWarning, Out[26]: Index([2000-01-02 00:00:00, 2000-01-04 00:00:00, 2000-01-06 00:00:00, 2000-01-08 00:00:00, 2000-01-10 00:00:00], dtype='object')

In [27]: a + idx Out[27]: CFTimeIndex([2000-01-02 00:00:00, 2000-01-04 00:00:00, 2000-01-06 00:00:00, 2000-01-08 00:00:00, 2000-01-10 00:00:00], dtype='object') ```

 
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   Test failures with pandas master 547012915

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