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/pull/2375#issuecomment-415201313,https://api.github.com/repos/pydata/xarray/issues/2375,415201313,MDEyOklzc3VlQ29tbWVudDQxNTIwMTMxMw==,6815844,2018-08-22T22:22:48Z,2018-08-22T22:22:48Z,MEMBER,"> But maybe it is better to choose the first dim that is MultiIndex rather than the first dim. *first* dimension is not well defined in `Dataset`, as it is a union of the dims of all the dataarrays it has. For example, in the following example, `ds.unstack()['var']` and `da['var'].unstack()` will give different results. ```python In [15]: import numpy as np ...: import xarray as xr ...: ...: ds = xr.Dataset({'var': (('x', 'y', 'z', 'w'), np.random.randn(2,3,4,5))}) ...: ds = ds.stack(b=['z', 'w']).stack(a=['x', 'y']) ...: ds ...: Out[15]: Dimensions: (a: 6, b: 20) Coordinates: * b (b) MultiIndex - z (b) int64 0 0 0 0 0 1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 - w (b) int64 0 1 2 3 4 0 1 2 3 4 0 1 2 3 4 0 1 2 3 4 * a (a) MultiIndex - x (a) int64 0 0 0 1 1 1 - y (a) int64 0 1 2 0 1 2 Data variables: var (b, a) float64 -1.277 -0.4031 -0.3816 ... 1.398 0.6763 -0.6735 In [16]: list(ds.dims) Out[16]: ['a', 'b'] In [17]: list(ds['var'].dims) Out[17]: ['b', 'a'] ``` > but in that case should we allow passing in multiple dims? I like this direction. `stack` accepts multiple pairs of dimensions to be stacked, like `ds.stack(a=['x', 'y'], b=['z', 'w'])`. In this method, it repeatedly calls `_stack_once` method. I think `unstack` also can have the similar logic. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,352677925 https://github.com/pydata/xarray/pull/2375#issuecomment-414860789,https://api.github.com/repos/pydata/xarray/issues/2375,414860789,MDEyOklzc3VlQ29tbWVudDQxNDg2MDc4OQ==,6815844,2018-08-22T00:01:45Z,2018-08-22T00:01:45Z,MEMBER,"Thanks, @jsignell. I like this idea (`unstack` without explicit dimension names), but I think we may need to decide what API would be the best. My particular concern is + what should be done if DataArray or Dataset has multiple MultiIndexes. Maybe do we unstack all the MultiIndexes? + we have similar method `reset_index`. Do we also want to make `dim` optional? For `unstack_like`, I'm not sure it is worth adding as a top level function as `xr.full_like(other, data).unstack()` is simple enoguh...","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,352677925