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2 rows where "created_at" is on date 2019-12-16 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 538521262 | MDExOlB1bGxSZXF1ZXN0MzUzNjUzNTEz | 3629 | apply_ufunc vectorize 1D function example | dcherian 2448579 | closed | 0 | 3 | 2019-12-16T16:33:36Z | 2020-01-16T18:06:42Z | 2020-01-15T15:25:57Z | MEMBER | 0 | pydata/xarray/pulls/3629 | I added an example on using apply_ufunc to vectorize a 1D example over a DataArray. Comments and feedback welcome. I added an example of using numba's guvectorize too. Thoughts on keeping that bit?
cc @rabernat @TomNicholas |
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xarray 13221727 | pull | |||||
| 538521723 | MDU6SXNzdWU1Mzg1MjE3MjM= | 3630 | reviewnb for example notebooks? | dcherian 2448579 | open | 0 | 0 | 2019-12-16T16:34:28Z | 2019-12-16T16:34:28Z | MEMBER | What do people think of adding ReviewNB https://www.reviewnb.com/ to facilitate easy reviewing of example notebooks? |
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xarray 13221727 | issue |
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