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https://issues.apache.org/jira/browse/ARROW-1993?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Uwe L. Korn updated ARROW-1993:
-------------------------------
    Description: 
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.

  was: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


> [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: Uwe L. Korn
>            Priority: Major
>              Labels: beginner
>             Fix For: 0.10.0
>
>
> 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.



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