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https://issues.apache.org/jira/browse/ARROW-1585?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16174086#comment-16174086
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Tom Augspurger edited comment on ARROW-1585 at 9/21/17 1:11 AM:
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Sorry, yes, I meant for the original data to be {{ pd.DataFrame({0: [1, 2]}) }}
(an int, not a string).
Agreed that restricting field names to strings is best. Being able to
reconstruct the original from the metadata is sufficient.
was (Author: tomaugspurger):
Sorry, yes, I meant for the original data to be {{ pd.DataFrame({0: [1,
2]}))).columns }} (an int, not a string).
Agreed that restricting field names to strings is best. Being able to
reconstruct the original from the metadata is sufficient.
> serialize_pandas round trip fails on integer columns
> ----------------------------------------------------
>
> Key: ARROW-1585
> URL: https://issues.apache.org/jira/browse/ARROW-1585
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.7.0
> Reporter: Tom Augspurger
> Priority: Minor
> Fix For: 0.8.0
>
>
> This roundtrip fails, since the Integer column isn't converted to a string
> after deserializing
> {code:python}
> In [1]: import pandas as pd
> im
> In [2]: import pyarrow as pa
> In [3]: pa.deserialize_pandas(pa.serialize_pandas(pd.DataFrame({"0": [1,
> 2]}))).columns
> Out[3]: Index(['0'], dtype='object')
> {code}
> That should be an {{ Int64Index([0]) }} for the columns.
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