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  • dcherian · 5 ✖

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  • bump min deps for 0.15 · 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
578314288 https://github.com/pydata/xarray/pull/3713#issuecomment-578314288 https://api.github.com/repos/pydata/xarray/issues/3713 MDEyOklzc3VlQ29tbWVudDU3ODMxNDI4OA== dcherian 2448579 2020-01-24T21:45:43Z 2020-01-24T21:46:46Z MEMBER

the most recent version released more than X months ago.

To me, this seems most sensible.

EDIT: crusaderky's 1 year proposal sounds good too

 
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   bump min deps for 0.15 552994673
578231137 https://github.com/pydata/xarray/pull/3713#issuecomment-578231137 https://api.github.com/repos/pydata/xarray/issues/3713 MDEyOklzc3VlQ29tbWVudDU3ODIzMTEzNw== dcherian 2448579 2020-01-24T17:47:10Z 2020-01-24T17:47:10Z MEMBER

bumping the following seems a little excessive to me.

bottleneck 1.2 (2017-09-18) 1.3 (2019-11-13) < iris 2.2 (2018-10-12) 2.3 (2019-12-21) < numba 0.44 (2019-06-18) 0.46 (2019-10-25) < pseudonetcdf 3.0 (2019-07-18) 3.1 (2019-10-18) < rasterio 1.0 (2018-12-21) 1.1 (2019-10-15) < zarr 2.3 (2019-03-25) 2.4 (2020-01-11) <

Is anyone opposed to merging this PR in its current form and bumping up minimum versions at the next major release?

 
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   bump min deps for 0.15 552994673
577253423 https://github.com/pydata/xarray/pull/3713#issuecomment-577253423 https://api.github.com/repos/pydata/xarray/issues/3713 MDEyOklzc3VlQ29tbWVudDU3NzI1MzQyMw== dcherian 2448579 2020-01-22T15:55:19Z 2020-01-22T15:55:19Z MEMBER

This output is confusing to me. It hasn't been 6 months since bottleneck 1.3 was released. Why is that the "policy version". Similarly for zarr 2.4

``` Package Required Policy Status

python 3.6 (2016-12-23) 3.6 (2016-12-23) = boto3 1.9 (2018-09-10) 1.10 (2019-10-22) < bottleneck 1.2 (2017-09-18) 1.3 (2019-11-13) < cartopy 0.17 (2018-11-17) 0.17 (2018-11-17) = cdms2 3.1 (2018-11-02) 3.1 (2018-11-02) = cfgrib 0.9 (2019-02-25) 0.9 (2019-02-25) = cftime 1.0 (2018-04-27) 1.0 (2018-04-27) = dask 1.2 (2019-04-13) 2.2 (2019-08-01) < distributed 1.27 (2019-04-12) 2.2 (2019-08-01) < h5netcdf 0.7 (2019-02-27) 0.7 (2019-02-27) = h5py 2.9 (2018-12-20) 2.10 (2019-09-10) < hdf5 1.10 (2017-09-18) 1.10 (2017-09-18) = iris 2.2 (2018-10-12) 2.3 (2019-12-21) < lxml 4.4 (2019-07-27) 4.4 (2019-07-27) = matplotlib 3.1 (2019-05-18) 3.1 (2019-05-18) = nc-time-axis 1.2 (2019-01-25) 1.2 (2019-01-25) = netcdf4 1.4 (2018-05-08) 1.4 (2018-05-08) = numba 0.44 (2019-06-18) 0.46 (2019-10-25) < numpy 1.15 (2018-07-27) 1.15 (2018-07-27) = pandas 0.25 (2019-07-18) 0.25 (2019-07-18) = pseudonetcdf 3.0 (2019-07-18) 3.1 (2019-10-18) < pydap 3.2 (2018-10-16) 3.2 (2018-10-16) = pynio 1.5 (2017-12-01) 1.5 (2017-12-01) = rasterio 1.0 (2018-12-21) 1.1 (2019-10-15) < scipy 1.3 (2019-05-28) 1.3 (2019-05-28) = seaborn 0.9 (2018-07-17) 0.9 (2018-07-17) = toolz 0.10 (2019-07-12) 0.10 (2019-07-12) = zarr 2.3 (2019-03-25) 2.4 (2020-01-11) < ```

 
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   bump min deps for 0.15 552994673
576784963 https://github.com/pydata/xarray/pull/3713#issuecomment-576784963 https://api.github.com/repos/pydata/xarray/issues/3713 MDEyOklzc3VlQ29tbWVudDU3Njc4NDk2Mw== dcherian 2448579 2020-01-21T17:15:22Z 2020-01-21T17:15:22Z MEMBER

as @jthielen said, it does not since I never realized we used nanquantile (did we change that recently?).

I changed it in this PR. But I guess I could just revert that bit

 
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   bump min deps for 0.15 552994673
576779512 https://github.com/pydata/xarray/pull/3713#issuecomment-576779512 https://api.github.com/repos/pydata/xarray/issues/3713 MDEyOklzc3VlQ29tbWVudDU3Njc3OTUxMg== dcherian 2448579 2020-01-21T17:03:15Z 2020-01-21T17:03:15Z MEMBER 
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   bump min deps for 0.15 552994673

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