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https://issues.apache.org/jira/browse/ARROW-8998?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wes McKinney updated ARROW-8998:
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Description:
Since in the relatively near future, one will be able to do non-trivial
analytical operations and query processing natively on Arrow data structures
through pyarrow, it does not make sense to require users to always install
NumPy when they install pyarrow. I propose to split the NumPy-depending parts
of libarrow_python into a libarrow_numpy (which also must be bundled) and
moving this part of the codebase into a separate Cython module.
This refactoring should be relatively painless though there may be a number of
packaging details to chase up since this would introduce a new shared library
to be installed in various packaging targets.
was:
Since in the relatively near future, one will be able to do non-trivial
analytical operations and query processing natively on Arrow data structures
through pyarrow, it does not make sense to require users to always install
NumPy when that install pyarrow. I propose to split the NumPy-depending parts
of libarrow_python into a libarrow_numpy (which also must be bundled) and
moving this part of the codebase into a separate Cython module.
This refactoring should be relatively painless though there may be a number of
packaging details to chase up since this would introduce a new shared library
to be installed in various packaging targets.
> [Python] Make NumPy an optional runtime dependency
> --------------------------------------------------
>
> Key: ARROW-8998
> URL: https://issues.apache.org/jira/browse/ARROW-8998
> Project: Apache Arrow
> Issue Type: New Feature
> Components: Python
> Reporter: Wes McKinney
> Priority: Major
>
> Since in the relatively near future, one will be able to do non-trivial
> analytical operations and query processing natively on Arrow data structures
> through pyarrow, it does not make sense to require users to always install
> NumPy when they install pyarrow. I propose to split the NumPy-depending parts
> of libarrow_python into a libarrow_numpy (which also must be bundled) and
> moving this part of the codebase into a separate Cython module.
> This refactoring should be relatively painless though there may be a number
> of packaging details to chase up since this would introduce a new shared
> library to be installed in various packaging targets.
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