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  • shoyer · 2 ✖

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  • Optional extras to manage dependencies · 2 ✖

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485882338 https://github.com/pydata/xarray/issues/2888#issuecomment-485882338 https://api.github.com/repos/pydata/xarray/issues/2888 MDEyOklzc3VlQ29tbWVudDQ4NTg4MjMzOA== shoyer 1217238 2019-04-23T16:41:59Z 2019-04-23T16:41:59Z MEMBER

Given that our optional dependencies can all be added individually, I'm a little skeptical that options like pip install xarray[netcdf4] provide much value over pip install xarray netcdf4. But I do appreciate the virtue of making this information programmatically accessible, and certainly would have no objection to contributors here.

But do note: - We currently do not keep track of version requirements for optional dependencies. It would take some investigation/testing to figure out what works. - This is not a widespread practice among Python data/numerical computing projects. For example, pandas does not do this.

 
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   Optional extras to manage dependencies 432058005
482434962 https://github.com/pydata/xarray/issues/2888#issuecomment-482434962 https://api.github.com/repos/pydata/xarray/issues/2888 MDEyOklzc3VlQ29tbWVudDQ4MjQzNDk2Mg== shoyer 1217238 2019-04-12T04:42:41Z 2019-04-12T04:42:41Z MEMBER

We test xarray continuously against the latest released versions of all these dependencies (and older versions, too, in many cases). For xarray and netCDF4, for example, you could simply use pip install xarray netcdf4.

Are there particular subpackages you would suggest?

 
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   Optional extras to manage dependencies 432058005

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