[ https://issues.apache.org/jira/browse/ARROW-2646?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Uwe L. Korn reassigned ARROW-2646: ---------------------------------- Assignee: Uwe L. Korn > [Python] Pandas roundtrip for date objects > ------------------------------------------ > > Key: ARROW-2646 > URL: https://issues.apache.org/jira/browse/ARROW-2646 > Project: Apache Arrow > Issue Type: Bug > Components: Python > Affects Versions: 0.9.0 > Reporter: Florian Jetter > Assignee: Uwe L. Korn > Priority: Minor > Fix For: 0.11.0 > > > Arrow currently casts date objects to nanosecond precision datetime objects. > I'd like to have a way to preserve the type during a roundtrip > {code} > >>> import pandas as pd > >>> import pyarrow as pa > >>> import datetime > >>> pa.date32().to_pandas_dtype() > dtype('<M8[ns]') > >>> df = pd.DataFrame({'date': [datetime.date(2018, 1, 1)]}) > >>> df.dtypes > date object > dtype: object > >>> df_rountrip = pa.Table.from_pandas(df).to_pandas() > >>> df_rountrip.dtypes > date datetime64[ns] > dtype: object > {code} > I'd expect something like this to work: > {code} > >>> import pandas.testing as pdt > >>> df_rountrip = pa.Table.from_pandas(df).to_pandas(date_as_object=True) > >>> pdt.assert_frame_equal(df_rountrip, df) > {code} -- This message was sent by Atlassian JIRA (v7.6.3#76005)