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2 rows where repo = 13221727, type = "pull" and user = 5384661 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 232995032 | MDExOlB1bGxSZXF1ZXN0MTIzNTgyNTY0 | 1438 | Fixing GH1434 xr.concat loses coordinate dtype information with recarrays in 0.9 | maciekswat 5384661 | closed | 0 | 3 | 2017-06-01T20:06:22Z | 2023-01-23T10:25:28Z | 2023-01-23T10:25:28Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/1438 |
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xarray 13221727 | pull | |||||
| 151483622 | MDExOlB1bGxSZXF1ZXN0NjgxMTk3MDI= | 837 | Fixed a bug that showed when trying to establish equivalence of two a… | maciekswat 5384661 | closed | 0 | 10 | 2016-04-27T20:31:50Z | 2016-06-24T18:13:36Z | 2016-06-24T18:13:36Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/837 | …rrays that are numpy.recarrays The following code WILL run with the fix but will crash when running current xarray: ``` Python import numpy as np import xarray as xr p_data = np.array([('John', 180), ('Stacy', 150), ('Dick',200)], dtype=[('name', '|S256'), ('height', int)]) p_data_1 = np.array([('John', 180), ('Stacy', 150), ('Dick',200)], dtype=[('name', '|S256'), ('height', int)]) weights_0 = xr.DataArray([80,56,120], dims=['participant'], coords={'participant':p_data}) weights_1 = xr.DataArray([81,52,115], dims=['participant'], coords={'participant':p_data_1}) print weights_1-weights_0 ``` |
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xarray 13221727 | pull |
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