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  • Did copy(deep=True) break with 0.16.1? · 3 ✖

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696997402 https://github.com/pydata/xarray/issues/4449#issuecomment-696997402 https://api.github.com/repos/pydata/xarray/issues/4449 MDEyOklzc3VlQ29tbWVudDY5Njk5NzQwMg== shoyer 1217238 2020-09-22T21:41:01Z 2020-09-22T21:41:01Z MEMBER

The work around is to call ds1.load() or use ds2 = ds1.compute() instead of calling .copy(deep=True)

The direct source of the issue here is: https://github.com/pydata/xarray/pull/4379

We probably should have been more careful with that change, because it is technically a regression. Previously we would always load data into NumPy arrays when doing a deep copy, but after that change the underlying data structures are deep-copied rather than being loaded into NumPy. That's probably more consistent with what users would expect in general from a "deep copy" but is definitely a change from the previous behavior.

 
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   Did copy(deep=True) break with 0.16.1? 706507153
696991642 https://github.com/pydata/xarray/issues/4449#issuecomment-696991642 https://api.github.com/repos/pydata/xarray/issues/4449 MDEyOklzc3VlQ29tbWVudDY5Njk5MTY0Mg== dcherian 2448579 2020-09-22T21:27:13Z 2020-09-22T21:27:13Z MEMBER

Would ds1.load() work for this case?

 
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   Did copy(deep=True) break with 0.16.1? 706507153
696980120 https://github.com/pydata/xarray/issues/4449#issuecomment-696980120 https://api.github.com/repos/pydata/xarray/issues/4449 MDEyOklzc3VlQ29tbWVudDY5Njk4MDEyMA== max-sixty 5635139 2020-09-22T21:04:04Z 2020-09-22T21:04:04Z MEMBER

Thanks for the issue @blaylockbk

I think this is caused by https://github.com/pydata/xarray/pull/4426, which defers to copy-on-write rather than make an extra copy.

Do you need this behavior per se?

 
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   Did copy(deep=True) break with 0.16.1? 706507153

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