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- Make `dim` optional on unstack · 6 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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415647225 | https://github.com/pydata/xarray/pull/2375#issuecomment-415647225 | https://api.github.com/repos/pydata/xarray/issues/2375 | MDEyOklzc3VlQ29tbWVudDQxNTY0NzIyNQ== | shoyer 1217238 | 2018-08-24T04:24:33Z | 2018-08-24T04:24:33Z | MEMBER | It might make sense to use a list instead of a set here. On Thu, Aug 23, 2018 at 8:37 PM Keisuke Fujii notifications@github.com wrote:
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Make `dim` optional on unstack 352677925 | |
415492951 | https://github.com/pydata/xarray/pull/2375#issuecomment-415492951 | https://api.github.com/repos/pydata/xarray/issues/2375 | MDEyOklzc3VlQ29tbWVudDQxNTQ5Mjk1MQ== | shoyer 1217238 | 2018-08-23T17:01:23Z | 2018-08-23T17:01:23Z | MEMBER | Dataset.transpose accepts *args based on the design of numpy.ndarray.transpose, but that API is probably a mistake (both in NumPy and xarray). Everything else uses an axis/dim argument that can take a scalar or sequence value. On Thu, Aug 23, 2018 at 9:56 AM Julia Signell notifications@github.com wrote:
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Make `dim` optional on unstack 352677925 | |
415486919 | https://github.com/pydata/xarray/pull/2375#issuecomment-415486919 | https://api.github.com/repos/pydata/xarray/issues/2375 | MDEyOklzc3VlQ29tbWVudDQxNTQ4NjkxOQ== | shoyer 1217238 | 2018-08-23T16:46:41Z | 2018-08-23T16:46:41Z | MEMBER |
Usually we prefer to stick to a single argument, but use isinstance checks to support both single dimensions and lists of dimensions, e.g., see how |
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Make `dim` optional on unstack 352677925 | |
415227870 | https://github.com/pydata/xarray/pull/2375#issuecomment-415227870 | https://api.github.com/repos/pydata/xarray/issues/2375 | MDEyOklzc3VlQ29tbWVudDQxNTIyNzg3MA== | shoyer 1217238 | 2018-08-23T00:06:56Z | 2018-08-23T00:06:56Z | MEMBER | I think
I'm not really opposed to Maybe we can figure a better way to spell "label these arrays like this template xarray object" that doesn't require referencing
I'm not sure that a dedicated function |
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Make `dim` optional on unstack 352677925 | |
415201313 | https://github.com/pydata/xarray/pull/2375#issuecomment-415201313 | https://api.github.com/repos/pydata/xarray/issues/2375 | MDEyOklzc3VlQ29tbWVudDQxNTIwMTMxMw== | fujiisoup 6815844 | 2018-08-22T22:22:48Z | 2018-08-22T22:22:48Z | MEMBER |
first dimension is not well defined in ```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]: <xarray.Dataset> 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'] ```
I like this direction.
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Make `dim` optional on unstack 352677925 | |
414860789 | https://github.com/pydata/xarray/pull/2375#issuecomment-414860789 | https://api.github.com/repos/pydata/xarray/issues/2375 | MDEyOklzc3VlQ29tbWVudDQxNDg2MDc4OQ== | fujiisoup 6815844 | 2018-08-22T00:01:45Z | 2018-08-22T00:01:45Z | MEMBER | Thanks, @jsignell. I like this idea ( For |
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Make `dim` optional on unstack 352677925 |
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