[
https://issues.apache.org/jira/browse/ARROW-5811?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16887195#comment-16887195
]
Wes McKinney commented on ARROW-5811:
-------------------------------------
Yeah, so we could define a conversion rule to return string or binary, and then
add an option to set a default conversion rule (where currently we have an
implicit default of "use type inference")
> [C++] CSV reader: 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: C++, Python
> Affects Versions: 0.13.0
> Environment: Ubuntu Xenial
> Reporter: Bogdan Klichuk
> Priority: Minor
> Labels: csv, csvparser, pyarrow
> Fix For: 1.0.0
>
>
> 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? :)
--
This message was sent by Atlassian JIRA
(v7.6.14#76016)
