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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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315948443 | MDU6SXNzdWUzMTU5NDg0NDM= | 2067 | A way to generate automatically-numbered coords | ExpHP 1411280 | closed | 0 | 4 | 2018-04-19T16:19:53Z | 2020-04-19T05:57:17Z | 2020-04-19T05:57:17Z | NONE | It is great that ```python import xarray as xr ds = xr.Dataset() a list of selected indices for each layerds['selected'] = (['layer', 'selected-i'], [ [0, 1, 2], [1, 5, 3], ]) normally, concatenation would drop layer dataprint(xr.concat(ds['selected'], dim='selected-i')) <xarray.DataArray 'selected' (selected-i: 6)>array([0, 1, 2, 1, 5, 3])Dimensions without coordinates: selected-iif you generate coords from 0 to n-1 for layer, however, the resulting DataArraycontains 'layer' indices for use in pointwise indexingprint(xr.concat(ds .assign_coords(layer=list(range(ds.sizes['layer']))) ['selected'], dim='selected-i')) <xarray.DataArray 'selected' (selected-i: 6)>array([0, 1, 2, 1, 5, 3])Coordinates:layer (selected-i) int64 0 0 0 1 1 1Dimensions without coordinates: selected-i``` My issue with the above is that
(Additionally, perhaps |
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