pull_requests: 15556956
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 15556956 | MDExOlB1bGxSZXF1ZXN0MTU1NTY5NTY= | 113 | closed | 0 | Most of Python 3 support | 327925 | This isn't entirely finished, but I need to stop working on it for a bit, and I think enough of it is ready to be reviewed. The core code is passing its tests; the remaining failures are all in talking to the Scipy and netCDF4 backends. I also have PRs open against Scipy (scipy/scipy#3617) and netCDF4 (Unidata/netcdf4-python#252) to fix bugs I've encountered there. Particular issues that came up: - There were quite a few circular imports. For now, I've fudged these to work rather than trying to reorganise the code. - `isinstance(x, int)` doesn't reliably catch numpy integer types - see e.g. numpy/numpy#2951. I changed several such cases to `isinstance(x, (int, np.integer))`. | 2014-05-06T18:31:56Z | 2014-07-15T20:36:05Z | 2014-05-09T01:39:01Z | 2014-05-09T01:39:01Z | 184fd39c0fa1574a03439998138297bdb193674c | 664063 | 0 | 6dbd8910080e9210700501c0ea671cf0dc44d90f | 8d6fbd7f4469ce73ed94cf09602efa0498f9dab6 | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/113 |
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