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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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638947370 | MDU6SXNzdWU2Mzg5NDczNzA= | 4156 | writing sparse to netCDF | dcherian 2448579 | open | 0 | 7 | 2020-06-15T15:33:23Z | 2024-01-09T10:14:00Z | MEMBER | I haven't looked at this too closely but it appears that this is a way to save MultiIndexed datasets to netCDF. So we may be able to do cc @fujiisoup |
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xarray 13221727 | issue | ||||||||
1916012703 | I_kwDOAMm_X85yNAif | 8239 | Address repo-review suggestions | dcherian 2448579 | open | 0 | 7 | 2023-09-27T17:18:40Z | 2023-10-02T20:24:34Z | MEMBER | What is your issue?Here's the output from the Scientific Python Repo Review tool. There's an online version here. On mac I run
A lot of these seem fairly easy to fix. I'll note that there's a large number of General
Projects must have a PyProjectSee https://github.com/pydata/xarray/issues/8239#issuecomment-1739363809 <table> <tr><th>?</th><th>Name</th><th>Description</th></tr> <tr style="color: red;"> <td>❌</td> <td>PP305</td> <td> Specifies xfail_strict
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<td>PP308</td>
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Specifies useful pytest summary
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Pre-commit<table> <tr><th>?</th><th>Name</th><th>Description</th></tr> <tr style="color: red;"> <td>❌</td> <td>PC110</td> <td> Uses blackUse Must have Must have Must have If Should have something like this in
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MyPy<table> <tr><th>?</th><th>Name</th><th>Description</th></tr> <tr style="color: red;"> <td>❌</td> <td>MY101</td> <td> MyPy strict modeMust have
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<td>MY103</td>
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MyPy warn unreachable
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<td>MY104</td>
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MyPy enables ignore-without-code
Must have
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<td>MY105</td>
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MyPy enables redundant-expr
Must have
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<td>MY106</td>
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MyPy enables truthy-bool
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Ruff<table> <tr><th>?</th><th>Name</th><th>Description</th></tr> <tr style="color: red;"> <td>❌</td> <td>RF101</td> <td> Bugbear must be selectedMust select the flake8-bugbear
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xarray 13221727 | issue | ||||||||
540451721 | MDExOlB1bGxSZXF1ZXN0MzU1MjU4NjMy | 3646 | [WIP] GroupBy plotting | dcherian 2448579 | open | 0 | 7 | 2019-12-19T17:26:39Z | 2022-06-09T14:50:17Z | MEMBER | 1 | pydata/xarray/pulls/3646 |
This adds plotting methods to GroupBy objects so that it's easy to plot each group as a facet. I'm finding this super helpful in my current research project. It's pretty self-contained, mostly just adding This still needs more tests but I would like feedback on the feature and the implementation. Example``` python import numpy as np import xarray as xr time = np.arange(80)
da = xr.DataArray(5 * np.sin(2np.pitime/10), coords={"time": time}, dims="time")
da["period"] = da.time.where((time % 10) == 0).ffill("time")/10
da.plot()
```
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xarray 13221727 | pull |
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