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https://issues.apache.org/jira/browse/ARROW-1993?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17659022#comment-17659022
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Rok Mihevc commented on ARROW-1993:
-----------------------------------
This issue has been migrated to [issue
#17976|https://github.com/apache/arrow/issues/17976] on GitHub. Please see the
[migration documentation|https://github.com/apache/arrow/issues/14542] for
further details.
> [Python] Add function for determining implied Arrow schema from
> pandas.DataFrame
> --------------------------------------------------------------------------------
>
> Key: ARROW-1993
> URL: https://issues.apache.org/jira/browse/ARROW-1993
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Reporter: Wes McKinney
> Assignee: Krisztian Szucs
> Priority: Major
> Labels: beginner, pull-request-available
> Fix For: 0.12.0
>
> Time Spent: 2h 20m
> Remaining Estimate: 0h
>
> Currently the only option is to use {{Table/Array.from_pandas}} which does
> significant unnecessary work and allocates memory. If only the schema is of
> interest, then we could do less work and not allocate memory.
> We should provide the user a function {{pyarrow.Schema.from_pandas}} which
> takes a DataFrame as an input and returns the respective Arrow schema. The
> functionality for determing the schema is already available in the Python
> code, it is at moment just very tightly bound to the conversion
> infrastructure.
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