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2 rows where "created_at" is on date 2019-11-22 and user = 2448579 sorted by updated_at descending
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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 |
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526930276 | MDExOlB1bGxSZXF1ZXN0MzQ0MzA2NjA0 | 3559 | Reimplement quantile with apply_ufunc | dcherian 2448579 | closed | 0 | 1 | 2019-11-22T01:16:29Z | 2019-11-25T15:58:06Z | 2019-11-25T15:57:49Z | MEMBER | 0 | pydata/xarray/pulls/3559 | Adds support for dask arrays.
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xarray 13221727 | pull | |||||
527296094 | MDU6SXNzdWU1MjcyOTYwOTQ= | 3563 | environment file for binderized examples | dcherian 2448579 | closed | 0 | 6 | 2019-11-22T16:33:11Z | 2019-11-25T15:57:19Z | 2019-11-25T15:57:19Z | MEMBER | Our examples now have binder links! e.g. https://xarray.pydata.org/en/latest/examples/ERA5-GRIB-example.html but this is suboptimal because we aren't defining an environment so the only things that get installed are the packages that xarray requires : numpy & pandas. We need to at least add cfgrid, matplotlib, cftime, netCDF4 to get all the examples to work out of the box. |
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completed | xarray 13221727 | issue |
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