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https://issues.apache.org/jira/browse/ARROW-7251?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16981746#comment-16981746
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Sascha Hofmann commented on ARROW-7251:
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Basically, I could imagine simply switching everything over to use
pandas.read_csv and then get the pyarrow table from there
(pa.Table.from_pandas).
Question would be something like: how much time and memory overhead would that
give compared to a pure pa.csv.read_csv approach (when possible). I thought
maybe someone has benchmarked that but couldn't find anything.
> [Python] Open CSVs with different encodings
> -------------------------------------------
>
> Key: ARROW-7251
> URL: https://issues.apache.org/jira/browse/ARROW-7251
> Project: Apache Arrow
> Issue Type: Wish
> Components: Python
> Reporter: Sascha Hofmann
> Priority: Major
>
> I would like to open an UTF-16 encoded CSVs (among others) without
> preprocessing in let's say Pandas. Is there maybe a way to do this already ?
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