[ https://issues.apache.org/jira/browse/ARROW-371?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Uwe L. Korn reassigned ARROW-371: --------------------------------- Assignee: Uwe L. Korn > Python: Table with null timestamp becomes float in pandas > --------------------------------------------------------- > > Key: ARROW-371 > URL: https://issues.apache.org/jira/browse/ARROW-371 > Project: Apache Arrow > Issue Type: Bug > Components: Python > Affects Versions: 0.1.0 > Reporter: Jochen Ott > Assignee: Uwe L. Korn > Priority: Minor > > I'm testing round-trip of pandas DataFrame to arrow Table and back. > Converting a pandas DataFrame with pd.Timestamp columns and NaT entries to a > Table seems to work fine (null count and data type of the column match > expectations). However, converting the Table back to a DataFrame represents > the column as float64, not as pandas.Timestamp/numpy.datetime64[ns] as > expected. -- This message was sent by Atlassian JIRA (v6.3.4#6332)