issue_comments: 1475743002
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/7647#issuecomment-1475743002 | https://api.github.com/repos/pydata/xarray/issues/7647 | 1475743002 | IC_kwDOAMm_X85X9g0a | 5821660 | 2023-03-20T07:27:08Z | 2023-03-20T07:27:08Z | MEMBER | @wangshuaicumt To see what's going on this might be sufficient. It looks like the grids (or dimensions) of your two input datasets do not really match each other. In consequence the merge-algorithm aligns the two inputs and introduces NaN at the places where the data is not defined at the resulting points, leaving you with these gaps in the output. (You can observe this in the dimension-sizes). As this doesn't happen in my workflows I have no immediate help at hand and hope others will chime with some more guidance. |
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