[ https://issues.apache.org/jira/browse/ARROW-370?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Uwe L. Korn resolved ARROW-370. ------------------------------- Resolution: Duplicate > Python: Pandas conversion from `datetime.date` columns > ------------------------------------------------------ > > Key: ARROW-370 > URL: https://issues.apache.org/jira/browse/ARROW-370 > Project: Apache Arrow > Issue Type: New Feature > Components: Python > Reporter: Uwe L. Korn > Assignee: Uwe L. Korn > Labels: newbie > > It seems to be a common practice to store some columns as Python > {{datetime.date}} to avoid issues with far future/past dates in Pandas. We > can natively store this data in Arrow as well in Parquet but there is no > conversion available yet. A simple way could be to provide a path > pandas.Series -> numpy.ndarray(datetime64[D]) -> arrow.Array(DATE)) -- This message was sent by Atlassian JIRA (v6.3.15#6346)