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- brews · 4 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1057653294 | https://github.com/pydata/xarray/issues/6176#issuecomment-1057653294 | https://api.github.com/repos/pydata/xarray/issues/6176 | IC_kwDOAMm_X84_CoIu | brews 2049051 | 2022-03-03T04:24:14Z | 2022-03-03T04:24:14Z | CONTRIBUTOR | Using semver can be handy to signal breaking changes. Any thoughts on how xarray will handle breaking changes with calver? Any release can break, or during select periods, after a timeout, etc.? |
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Xarray versioning to switch to CalVer 1108564253 | |
| 223775868 | https://github.com/pydata/xarray/issues/869#issuecomment-223775868 | https://api.github.com/repos/pydata/xarray/issues/869 | MDEyOklzc3VlQ29tbWVudDIyMzc3NTg2OA== | brews 2049051 | 2016-06-04T20:13:14Z | 2016-06-04T20:13:32Z | CONTRIBUTOR | Wow. How did I not know about conda-forge? This solve all problems. They even have a windspharm for py3! I owe you a beer @fmaussion! Thanks again. |
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open netCDF gives 'time' dim with 1969 change in timezone 158518147 | |
| 223774592 | https://github.com/pydata/xarray/issues/869#issuecomment-223774592 | https://api.github.com/repos/pydata/xarray/issues/869 | MDEyOklzc3VlQ29tbWVudDIyMzc3NDU5Mg== | brews 2049051 | 2016-06-04T19:47:39Z | 2016-06-04T19:47:39Z | CONTRIBUTOR | @fmaussion Yes this solves the problem! Closed. Now the problem is that my Basemap and Cartopy 0.14 in conda currently depend on numpy 1.10*. This puts me in Dependency Hell. Does anyone happen to have a channel for these (or at least Cartopy 0.14) that will work with numpy 1.11*? |
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open netCDF gives 'time' dim with 1969 change in timezone 158518147 | |
| 219923130 | https://github.com/pydata/xarray/issues/789#issuecomment-219923130 | https://api.github.com/repos/pydata/xarray/issues/789 | MDEyOklzc3VlQ29tbWVudDIxOTkyMzEzMA== | brews 2049051 | 2016-05-18T04:37:03Z | 2016-05-18T04:37:03Z | CONTRIBUTOR | Just curious, has anyone tried to open an issue in pandas for this? |
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Time limitation (between years 1678 and 2262) restrictive to climate community 139956689 |
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issue 3