issues: 168272291
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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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| 168272291 | MDExOlB1bGxSZXF1ZXN0NzkzMjE2NTc= | 924 | WIP: progress toward making groupby work with multiple arguments | 1217238 | open | 0 | 16 | 2016-07-29T08:07:57Z | 2022-06-09T14:50:17Z | MEMBER | 0 | pydata/xarray/pulls/924 | Fixes #324 It definitely doesn't work properly yet, totally mixing up coordinates, data variables and multi-indexes (as shown by the failing tests). A simple example: ``` In [4]: coords = {'a': ('x', [0, 0, 1, 1]), 'b': ('y', [0, 0, 1, 1])} In [5]: square = xr.DataArray(np.arange(16).reshape(4, 4), coords=coords, dims=['x', 'y']) In [6]: square Out[6]: <xarray.DataArray (x: 4, y: 4)> array([[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11], [12, 13, 14, 15]]) Coordinates: b (y) int64 0 0 1 1 a (x) int64 0 0 1 1 * x (x) int64 0 1 2 3 * y (y) int64 0 1 2 3 In [7]: square.groupby(['a', 'b']).mean() Out[7]: <xarray.DataArray (a: 2, b: 2)> array([[ 2.5, 4.5], [ 10.5, 12.5]]) Coordinates: * a (a) int64 0 1 * b (b) int64 0 1 In [8]: square.groupby(['x', 'y']).mean() Out[8]: <xarray.DataArray (x: 4, y: 4)> array([[ 0., 1., 2., 3.], [ 4., 5., 6., 7.], [ 8., 9., 10., 11.], [ 12., 13., 14., 15.]]) Coordinates: * x (x) int64 0 1 2 3 * y (y) int64 0 1 2 3 ``` More examples: https://gist.github.com/shoyer/5cfa4d5751e8a78a14af25f8442ad8d5 |
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13221727 | pull |