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Rok Mihevc updated ARROW-4629: ------------------------------ External issue URL: https://github.com/apache/arrow/issues/21165 > [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 > Components: Python > Reporter: Florian Jetter > Assignee: Florian Jetter > Priority: Minor > Labels: pull-request-available > Fix For: 0.12.1, 0.13.0 > > Attachments: image-2019-02-19-19-10-46-330.png > > Time Spent: 3h 10m > Remaining Estimate: 0h > > 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! -- This message was sent by Atlassian Jira (v8.20.10#820010)