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  • Ability to rename items inside a coordinate, matching pandas rename() functionality · 4 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1101516883 https://github.com/pydata/xarray/issues/5048#issuecomment-1101516883 https://api.github.com/repos/pydata/xarray/issues/5048 IC_kwDOAMm_X85Bp9BT dcherian 2448579 2022-04-18T15:52:30Z 2022-04-18T15:52:30Z MEMBER

Closing in favour of #6377

 
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   Ability to rename items inside a coordinate, matching pandas rename() functionality 834273555
804363539 https://github.com/pydata/xarray/issues/5048#issuecomment-804363539 https://api.github.com/repos/pydata/xarray/issues/5048 MDEyOklzc3VlQ29tbWVudDgwNDM2MzUzOQ== shoyer 1217238 2021-03-22T20:14:47Z 2021-03-22T20:14:47Z MEMBER

NumPy has "select" and "choose" for this, but I don't really love either of those APIs, either.

Maybe replace_in_data or update_data would be appropriate names for a DataArray method that uses a dictionary as an argument? Then updating a coordinate would be solved with something like: e.g., python da['two'] = da['two'].replace_in_data({'dd': 'd'})

 
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   Ability to rename items inside a coordinate, matching pandas rename() functionality 834273555
801627246 https://github.com/pydata/xarray/issues/5048#issuecomment-801627246 https://api.github.com/repos/pydata/xarray/issues/5048 MDEyOklzc3VlQ29tbWVudDgwMTYyNzI0Ng== max-sixty 5635139 2021-03-18T05:02:10Z 2021-03-18T05:02:10Z MEMBER

Agree with @andersy005 's suggestion (and it takes a lambda fwiw)

Though I also find myself reaching for a method like pandas' rename occasionally.

Aside from the rename name, which I think is not good, what do others think about a method that takes a mapping and replaces values?

 
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   Ability to rename items inside a coordinate, matching pandas rename() functionality 834273555
801528450 https://github.com/pydata/xarray/issues/5048#issuecomment-801528450 https://api.github.com/repos/pydata/xarray/issues/5048 MDEyOklzc3VlQ29tbWVudDgwMTUyODQ1MA== andersy005 13301940 2021-03-18T00:30:24Z 2021-03-18T00:30:24Z MEMBER

@Jeitan, have you looked into where() yet?

```python In [16]: da['two'] = da.two.where(da.two != 'dd', 'd')

In [17]: da Out[17]: <xarray.DataArray (one: 3, two: 5)> array([[-0.01774725, 0.42453644, -0.80758257, 0.18659729, -1.14712204], [ 2.06813654, 1.32605605, -1.49284031, 0.5929485 , -2.29315181], [ 0.30243348, 0.05863335, 2.09869485, 1.79054292, -0.99844954]]) Coordinates: * one (one) int64 1 2 3 * two (two) <U2 'a' 'b' 'c' 'd' 'e' ```

 
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   Ability to rename items inside a coordinate, matching pandas rename() functionality 834273555

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