issues: 258735262
This data as json
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
258735262 | MDU6SXNzdWUyNTg3MzUyNjI= | 1578 | Contourplot not producing plot when data below colorbar level and extend='neither' | 761677 | open | 0 | 7 | 2017-09-19T08:23:14Z | 2019-03-29T22:44:15Z | NONE | I'm plotting several datasets on a map with contourf with the same colorbar levels where some datasets have no data above the lowest level. I expect these plots to simply be blank. The default behavior is instead that 'extend' becomes set to 'min' behind the scenes, changing the colorabar relative to the other plots. When I set extend to 'neither' explicitly, I get an error from matplotlib: "ValueError: 'bboxes' cannot be empty". The plot call looks like this:
I found that if I revert this bug-fixe from Cartopy: https://github.com/SciTools/cartopy/issues/811 I get the expected behavior. Not sure if this issue should go to Cartopy but I'm starting here. Matplotlib version 2.0.0 Xarray version 0.9.6 Cartopy version 0.15.1 |
{ "url": "https://api.github.com/repos/pydata/xarray/issues/1578/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
13221727 | issue |