pull_requests: 809993943
This data as json
| id | node_id | number | state | locked | title | user | body | created_at | updated_at | closed_at | merged_at | merge_commit_sha | assignee | milestone | draft | head | base | author_association | auto_merge | repo | url | merged_by |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 809993943 | PR_kwDOAMm_X84wR4bX | 6109 | closed | 0 | Remove registration of pandas datetime converter in plotting | 14371165 | Back in 2017 the `register_pandas_datetime_converter_if_needed` was added to workaround matplotlib crashing when handling datetime objects, (#1669). The example that crashed back then was (#1661): ```python import xarray import numpy da = xarray.DataArray( numpy.arange(3*4).reshape(3,4), dims=("x", "y"), coords={"x": [1,2,3], "y": [numpy.datetime64(f"2000-01-{x:02d}") for x in range(1, 5)]}) da.plot.pcolormesh() ``` This has probably been working by default in matplotlib since 2.2.0, when datetime support was added https://github.com/matplotlib/matplotlib/releases/tag/v2.2.0. (https://github.com/matplotlib/matplotlib/pull/9779) Related issues: https://github.com/mwaskom/seaborn/issues/1325 <!-- Feel free to remove check-list items aren't relevant to your change --> - [x] Closes #6102 - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` | 2021-12-26T10:14:47Z | 2022-08-12T09:05:45Z | 2022-01-09T20:33:29Z | 2022-01-09T20:33:28Z | e7285ebc33561360dffe9af4f2db21808529dd17 | 0 | 228e0be009ddfb383495b0c9cfa5dcd7ae1b2793 | bc8d7f9e708dd510672fb52e402d988e4e6ee6d6 | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/6109 |
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