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https://issues.apache.org/jira/browse/ARROW-5811?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16876025#comment-16876025
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Antoine Pitrou commented on ARROW-5811:
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No, {{convert_types}} must be the full mapping of column names to data types.
C++ doesn't know about {{defaultdict}}...
We could add more inference options, though, for example to select the
datatypes for which inference is enabled.
> [Python] pyarrow.csv.read_csv: Ability to not infer column types.
> -----------------------------------------------------------------
>
> Key: ARROW-5811
> URL: https://issues.apache.org/jira/browse/ARROW-5811
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Affects Versions: 0.13.0
> Environment: Ubuntu Xenial
> Reporter: Bogdan Klichuk
> Priority: Minor
> Labels: csv, csvparser, pyarrow
>
> I'm trying to read CSV as is. All columns as strings. I don't know the schema
> of these CSVs and they will vary as they are provided by user.
> Right now i'm using pandas.read_csv(dtype=str) which works great, but since
> final destination of these CSVs are parquet files it seems like much more
> efficient to use pyarrow.csv.read_csv in future, as soon as this becomes
> available :)
> I tried things like
> `pyarrow.csv.read_csv(convert_types=ConvertOptions(columns_types=defaultdict(lambda:
> 'string')))` but it doesn't work.
> Maybe I just didnt' find something that already exists? :)
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