issue_comments: 321474488
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/1506#issuecomment-321474488 | https://api.github.com/repos/pydata/xarray/issues/1506 | 321474488 | MDEyOklzc3VlQ29tbWVudDMyMTQ3NDQ4OA== | 30219501 | 2017-08-10T07:31:35Z | 2017-08-10T07:31:35Z | NONE | A first check of your theory (shoyer) reveals that if the time stamps are exectly the same, i.e. the date and the time is equal for each time step in the two netcdf-files, then the operation is working sucessfully. I think it is very consequent to allow elementwise operations only on datasets with not only the same shape of dimensions and coordinates but also with the same values for dimensions, spatial coordinates and times. I only have to find a way to harmonize both datasets for time values prior operations with xarray ( a hard task considering model and evaluation data). |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
249188875 |