issue_comments: 290491964
This data as json
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/issues/1341#issuecomment-290491964 | https://api.github.com/repos/pydata/xarray/issues/1341 | 290491964 | MDEyOklzc3VlQ29tbWVudDI5MDQ5MTk2NA== | 4295853 | 2017-03-30T17:58:31Z | 2017-03-30T17:58:31Z | CONTRIBUTOR | The script (e.g., on 3.5) should return something like ```python In [1]: import xarray as xr In [2]: import numpy as np In [3]: da = xr.DataArray(np.random.rand(100,10), dims=['nCells','nVertLevels']) In [4]: mask = xr.DataArray(np.zeros((100,), dtype='bool'), dims='nCells') In [5]: da.where(mask, drop=True) Out[6]: <xarray.DataArray (nCells: 0, nVertLevels: 10)> array([], shape=(0, 10), dtype=float64) Dimensions without coordinates: nCells, nVertLevels ``` |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
218277814 |