[jira] [Resolved] (SPARK-40922) pyspark.pandas.read_csv supports reading multiple files, but that is undocumented

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-40922?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-40922.
----------------------------------
    Fix Version/s: 3.4.0
       Resolution: Fixed

Issue resolved by pull request 38399
[https://github.com/apache/spark/pull/38399]

> pyspark.pandas.read_csv supports reading multiple files, but that is undocumented
> ---------------------------------------------------------------------------------
>
>                 Key: SPARK-40922
>                 URL: https://issues.apache.org/jira/browse/SPARK-40922
>             Project: Spark
>          Issue Type: Documentation
>          Components: Pandas API on Spark, PySpark
>    Affects Versions: 3.3.1
>            Reporter: Stefaan Lippens
>            Assignee: Stefaan Lippens
>            Priority: Minor
>             Fix For: 3.4.0
>
>
> The {{path}} argument of {{pyspark.pandas.read_csv(path, ...)}} currently has type annotation {{str}} and is documented as
> {code}
>     path : str
>         The path string storing the CSV file to be read.
> {code}
> The implementation however uses {{pyspark.sql.DataFrameReader.csv(path, ...)}} which does support multiple paths:
> {code}
>         path : str or list
>             string, or list of strings, for input path(s),
>             or RDD of Strings storing CSV rows.
> {code}
> Loading multiple CSV files at once is a useful feature to have and should be documented (and tested for)



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