html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/2568#issuecomment-1101516537,https://api.github.com/repos/pydata/xarray/issues/2568,1101516537,IC_kwDOAMm_X85Bp875,2448579,2022-04-18T15:51:57Z,2022-04-18T15:51:57Z,MEMBER,There's a longer discussion in #6377 so let's close this.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,383945783
https://github.com/pydata/xarray/issues/2568#issuecomment-1100903860,https://api.github.com/repos/pydata/xarray/issues/2568,1100903860,IC_kwDOAMm_X85BnnW0,26384082,2022-04-17T15:43:46Z,2022-04-17T15:43:46Z,NONE,"In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity
If this issue remains relevant, please comment here or remove the `stale` label; otherwise it will be marked as closed automatically
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,383945783
https://github.com/pydata/xarray/issues/2568#issuecomment-671101989,https://api.github.com/repos/pydata/xarray/issues/2568,671101989,MDEyOklzc3VlQ29tbWVudDY3MTEwMTk4OQ==,15331990,2020-08-09T21:15:41Z,2020-08-09T21:15:41Z,CONTRIBUTOR,"If I were to make a PR, where would this method reside? Would it be under dataset.py and dataarray.py? Also, would I simply call np.select inside the method, and if so, how would I add support for dask?
My minimal example atm:
```
import xarray as xr
import numpy as np
import hvplot.xarray
ds = xr.tutorial.open_dataset('air_temperature').isel(time=0)
ds['air_cats'] = (
('lat', 'lon'),
np.select([ds['air'].values >= 273.15, ds['air'].values < 273.15], ['above freezing', 'below freezing'])
)
ds.hvplot('lon', 'lat', hover_cols=['air_cats'])
```
","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,383945783
https://github.com/pydata/xarray/issues/2568#issuecomment-599133152,https://api.github.com/repos/pydata/xarray/issues/2568,599133152,MDEyOklzc3VlQ29tbWVudDU5OTEzMzE1Mg==,15331990,2020-03-14T20:48:52Z,2020-03-14T20:48:52Z,CONTRIBUTOR,"No, not from me at least.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,383945783
https://github.com/pydata/xarray/issues/2568#issuecomment-599131699,https://api.github.com/repos/pydata/xarray/issues/2568,599131699,MDEyOklzc3VlQ29tbWVudDU5OTEzMTY5OQ==,26352311,2020-03-14T20:33:19Z,2020-03-14T20:33:19Z,NONE,Has any progress been made on adding a builtin function for this? Thanks.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,383945783
https://github.com/pydata/xarray/issues/2568#issuecomment-441483832,https://api.github.com/repos/pydata/xarray/issues/2568,441483832,MDEyOklzc3VlQ29tbWVudDQ0MTQ4MzgzMg==,5635139,2018-11-25T23:30:36Z,2018-11-25T23:30:36Z,MEMBER,"Agree that `map` is not a good name (and I find the pandas API difficult in this area - each time I'm looking up what relabel / rename / map / select / filter does)
How about `match` / `switch` / `case`?
We would definitely use this. I agree it'd probably be used less in xarray than in pandas; though I'm keen to expand the API, in a deliberate and careful way, to some of the traditional pandas use-cases (but a small vote among many)
","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,383945783
https://github.com/pydata/xarray/issues/2568#issuecomment-441467391,https://api.github.com/repos/pydata/xarray/issues/2568,441467391,MDEyOklzc3VlQ29tbWVudDQ0MTQ2NzM5MQ==,1217238,2018-11-25T19:50:16Z,2018-11-25T19:50:16Z,MEMBER,"I would lean slightly against adding a dedicated method for this (but could be convinced if others are interested). Usually we copy pandas or numpy APIs, but `DataFrame.map` is a not a great name -- `map` means too many other things (e.g., consider the buildin `map`).
It might make sense to copy the design of `numpy.select` instead: https://docs.scipy.org/doc/numpy/reference/generated/numpy.select.html
e.g., you could write something like `xarray.select([ds < 0, ds < 10], [5, 10], default=15)`","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,383945783
https://github.com/pydata/xarray/issues/2568#issuecomment-441344567,https://api.github.com/repos/pydata/xarray/issues/2568,441344567,MDEyOklzc3VlQ29tbWVudDQ0MTM0NDU2Nw==,15331990,2018-11-24T05:17:09Z,2018-11-24T05:25:45Z,CONTRIBUTOR,"Thanks for the quick replies! Is there interest in making this a built-in function? If so, I can help contribute a PR.
Also wondering about a way to wrap logic to that mapping.
Like below 0, replace with -1, between 0 and 10, replace with 5, and above 10, replace with 15 which is possible with three np.place statements I think, but have to think in backwards logic with ds.where().","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,383945783
https://github.com/pydata/xarray/issues/2568#issuecomment-441343812,https://api.github.com/repos/pydata/xarray/issues/2568,441343812,MDEyOklzc3VlQ29tbWVudDQ0MTM0MzgxMg==,1217238,2018-11-24T04:56:21Z,2018-11-24T04:56:33Z,MEMBER,"I would divide this into two steps: (1) write a function that does this on NumPy arrays and (2) apply it to xarray objects using `apply_ufunc`, e.g.,
```python
import numpy as np
import xarray as xr
def remap(array, mapping):
return np.array([mapping[k] for k in array.ravel()]).reshape(array.shape)
ds = xr.Dataset({'test': ('t', [0, 1, 2])})
xr.apply_ufunc(remap, ds, kwargs=dict(mapping={0: 50, 1: 29, 2: 10}))
```
outputs:
```
Dimensions: (t: 3)
Dimensions without coordinates: t
Data variables:
test (t) int64 50 29 10
```","{""total_count"": 3, ""+1"": 3, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,383945783
https://github.com/pydata/xarray/issues/2568#issuecomment-441342986,https://api.github.com/repos/pydata/xarray/issues/2568,441342986,MDEyOklzc3VlQ29tbWVudDQ0MTM0Mjk4Ng==,15331990,2018-11-24T04:34:17Z,2018-11-24T04:34:17Z,CONTRIBUTOR,"I guess I'm thinking about more complex cases such as changing 0 -> 50, 1 -> 29, 2 -> 10
```
ds = xr.Dataset({'test': [0, 1, 2]})
ds.where((ds != 1) & (ds != 2), 50)
```
Thoughts on simplifying this?","{""total_count"": 3, ""+1"": 3, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,383945783
https://github.com/pydata/xarray/issues/2568#issuecomment-441340466,https://api.github.com/repos/pydata/xarray/issues/2568,441340466,MDEyOklzc3VlQ29tbWVudDQ0MTM0MDQ2Ng==,1217238,2018-11-24T03:23:43Z,2018-11-24T03:23:43Z,MEMBER,"The usual way to do this in xarray would be to use `where()`, e.g., `xarray.where(ds == 0, 1, ds)` or `ds.where(ds == 0, 1)`.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,383945783