issues: 184456540
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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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| 184456540 | MDU6SXNzdWUxODQ0NTY1NDA= | 1056 | groupby_bins along two dims simultaneously | 10050469 | open | 0 | 3 | 2016-10-21T10:50:06Z | 2020-10-04T05:06:37Z | MEMBER | I probably missed it, but what is the way to apply groupby (or rather groupby_bins) in order to achieve the following in xarray? ``` python da = xr.DataArray(np.arange(16).reshape((4, 4))) da <xarray.DataArray (dim_0: 4, dim_1: 4)> array([[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11], [12, 13, 14, 15]]) Coordinates: * dim_0 (dim_0) int64 0 1 2 3 * dim_1 (dim_1) int64 0 1 2 3 should be aggregated to (in case of summing) to obtaindagg <xarray.DataArray (dim_0: 2, dim_1: 2)> array([[10, 18], [42, 50]]) Coordinates: * dim_1 (dim_1) int64 0 2 * dim_0 (dim_0) int64 0 2 ``` |
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13221727 | issue |