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Posted to issues@arrow.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2019/02/19 18:15:00 UTC

[jira] [Updated] (ARROW-4629) [Python] Pandas to arrow conversion slowed down by local imports

     [ https://issues.apache.org/jira/browse/ARROW-4629?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated ARROW-4629:
----------------------------------
    Labels: pull-request-available  (was: )

> [Python] Pandas to arrow conversion slowed down by local imports
> ----------------------------------------------------------------
>
>                 Key: ARROW-4629
>                 URL: https://issues.apache.org/jira/browse/ARROW-4629
>             Project: Apache Arrow
>          Issue Type: Bug
>            Reporter: Florian Jetter
>            Assignee: Florian Jetter
>            Priority: Minor
>              Labels: pull-request-available
>         Attachments: image-2019-02-19-19-10-46-330.png
>
>
> The pandas to arrow conversion is currently slowed down significantly by various local import statements.
> {code}
> import pandas as pd
> import pyarrow as pa
> import cProfile
> ser = pd.Series(range(10000))
> df = pd.DataFrame({col: ser.copy(deep=True) for col in range(50)})
> # Simulate a real dataset, i.e. force copy of data
> df = df.astype({col: str for col in range(25)})
> prof = cProfile.Profile()
> prof.enable()
> # a few times to collect statistics
> for _ in range(100):
>     pa.Table.from_pandas(df, nthreads=1)
> prof.disable()
> prof.dump_stats("array_conversion.prof")
> {code}
> !image-2019-02-19-19-10-46-330.png!



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