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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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1021396447 | PR_kwDOAMm_X84s9Wtg | 5847 | Display coords' units for slice plots | caenrigen 31376402 | closed | 0 | 10 | 2021-10-08T19:18:38Z | 2021-10-30T14:06:41Z | 2021-10-30T14:06:41Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/5847 | Hi, folks! Thank you for the awesome project! Here is a minor enhancement for the plotting of slices. Before this PR: ```python import xarray as xr import numpy as np dset = xr.Dataset( data_vars=dict( var_a=(("a", "b"), np.array([[1,2], [3,4]])) ), coords=dict( a=("a", np.array([5, 6]), {"unit": "s"}), b=("b", np.array([7, 8]), {"unit": "s"}) ) ) _ = dset.var_a.sel(a=5).plot(marker="o") ``` After this PR (note the title): I did not add any tests, since this change did not break anything I am guessing it is not something being tested.
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xarray 13221727 | pull | |||||
819967505 | MDExOlB1bGxSZXF1ZXN0NTgyOTg5Mjc2 | 4986 | Added support for numpy.bool_ | caenrigen 31376402 | closed | 0 | 2 | 2021-03-02T12:22:17Z | 2021-06-30T17:49:25Z | 2021-03-12T14:19:15Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/4986 | Hi folks! Thank you for the awesome project! Xarray rocks! We have adopted xarray fully in a new project and would appreciate a review on this PR asap.
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xarray 13221727 | pull |
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