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  • first pass at adding to month indexing time series · 5 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
905044121 https://github.com/pydata/xarray/pull/5735#issuecomment-905044121 https://api.github.com/repos/pydata/xarray/issues/5735 IC_kwDOAMm_X8418eCZ github-actions[bot] 41898282 2021-08-24T23:34:06Z 2021-09-01T15:31:44Z CONTRIBUTOR

Unit Test Results

6 files  ±0           6 suites  ±0   53m 40s :stopwatch: ±0s 16 225 tests ±0  14 491 :heavy_check_mark: ±0  1 734 :zzz: ±0  0 :x: ±0  90 546 runs  ±0  82 370 :heavy_check_mark: ±0  8 176 :zzz: ±0  0 :x: ±0 

Results for commit 96c56836. ± Comparison against base commit 96c56836.

:recycle: This comment has been updated with latest results.

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  first pass at adding to month indexing time series 978473315
905913845 https://github.com/pydata/xarray/pull/5735#issuecomment-905913845 https://api.github.com/repos/pydata/xarray/issues/5735 IC_kwDOAMm_X841_yX1 mgrover1 26660300 2021-08-25T22:17:30Z 2021-08-25T22:17:30Z CONTRIBUTOR

@dcherian - I found the issue... those lines doing the subsetting were missing the time = section... below is the adjusted syntax

```python ds.isel(time = (ds.time.dt.month == 1))

ds.isel(time = (ds.time.dt.month.isin([1, 2, 3]))) ```

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  first pass at adding to month indexing time series 978473315
905869910 https://github.com/pydata/xarray/pull/5735#issuecomment-905869910 https://api.github.com/repos/pydata/xarray/issues/5735 IC_kwDOAMm_X841_npW mgrover1 26660300 2021-08-25T20:59:51Z 2021-08-25T20:59:51Z CONTRIBUTOR

@dcherian I tried to run it locally, it makes it 98% of the way through, and gets hung up on Dask... I followed the contributors guide instructions

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  first pass at adding to month indexing time series 978473315
905020588 https://github.com/pydata/xarray/pull/5735#issuecomment-905020588 https://api.github.com/repos/pydata/xarray/issues/5735 IC_kwDOAMm_X8418YSs mgrover1 26660300 2021-08-24T22:32:38Z 2021-08-24T22:32:38Z CONTRIBUTOR

Ohh.. neat! Yeah - I can add those few lines instead.

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  first pass at adding to month indexing time series 978473315
905014382 https://github.com/pydata/xarray/pull/5735#issuecomment-905014382 https://api.github.com/repos/pydata/xarray/issues/5735 IC_kwDOAMm_X8418Wxu mgrover1 26660300 2021-08-24T22:18:00Z 2021-08-24T22:18:00Z CONTRIBUTOR

I think this is clearer and potentially faster

python ds.isel(time=ds.time.dt.month.isin([1]))

I noticed that this is not mentioned in the docs for indexing using isin so you could update that too if you're up for it.

I can add that example to the isin section... Within the example of looking at multiple months, the approach I included seemed more straight forward... what would subsetting for multiple months look like with using isin?

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  first pass at adding to month indexing time series 978473315

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