[ https://issues.apache.org/jira/browse/ARROW-991?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wes McKinney resolved ARROW-991. -------------------------------- Resolution: Fixed Issue resolved by pull request 664 [https://github.com/apache/arrow/pull/664] > [Python] PyArray_SimpleNew should not be used with NPY_DATETIME > --------------------------------------------------------------- > > Key: ARROW-991 > URL: https://issues.apache.org/jira/browse/ARROW-991 > Project: Apache Arrow > Issue Type: Bug > Components: Python > Affects Versions: 0.3.0 > Reporter: Wes McKinney > Assignee: Wes McKinney > Priority: Critical > Fix For: 0.4.0 > > > From a non-deterministic test failure in pandas reported to me by [~jreback], > I see that {{PyArray_SimpleNew}} calls {{PyArray_DescrFromType}}, which > returns a reference to a cached dtype: > https://github.com/numpy/numpy/blob/1d592c12ca7f9c7f471aa8d20b538c5cb4f2cdce/numpy/core/src/multiarray/arraytypes.c.src#L4403. > Since we expect to be able to mutate a datetime64 dtype in libarrow_python, > this can cause failures in other code when uses a dtype that we have > accidentally mutated internally. > Luckily we are only modifying dtype metadata in a couple of places so this > should not be too invasive to fix: > https://github.com/apache/arrow/blob/master/cpp/src/arrow/python/pandas_convert.cc#L1995 -- This message was sent by Atlassian JIRA (v6.3.15#6346)