[ https://issues.apache.org/jira/browse/ARROW-2722?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Antoine Pitrou reassigned ARROW-2722: ------------------------------------- Assignee: Antoine Pitrou > [Python] ndarray to arrow conversion fails when downcasted from pandas > to_numeric > --------------------------------------------------------------------------------- > > Key: ARROW-2722 > URL: https://issues.apache.org/jira/browse/ARROW-2722 > Project: Apache Arrow > Issue Type: Bug > Components: C++, Python > Affects Versions: 0.9.0 > Environment: Windows 10 64-bit > Reporter: Augusto Radtke > Assignee: Antoine Pitrou > Priority: Major > Fix For: 0.10.0 > > > The following snippet: > {code:java} > import numpy as np > import pandas as pd > import pyarrow as pa > pa.array(pd.to_numeric(pd.Series(np.array([65536,2,3], dtype=np.uint64)), > downcast='unsigned'), > from_pandas=True, type='uint32') > {code} > fails to convert with message: > {noformat} > ArrowNotImplementedError Traceback (most recent call last) > <ipython-input-2-b259c5cb7044> in <module>() > 4 > 5 pa.array(pd.to_numeric(pd.Series(np.array([65536,2,3], dtype=np.uint64)), > downcast='unsigned'), > ----> 6 from_pandas=True, type='uint32') > array.pxi in pyarrow.lib.array() > array.pxi in pyarrow.lib._ndarray_to_array() > error.pxi in pyarrow.lib.check_status() > ArrowNotImplementedError: Unsupported numpy type 6{noformat} > > This is a Windows 64-bit machine, running Python 3.6.5, pyarrow 0.9.0, pandas > 0.23.1 and numpy 1.14.5. > Seems to be fine for uint16 or uint8 downcasting. Unfortunately I didn't had > the time to dig deeper or try on a Linux machine but it feels like its > related to the LLP64 model. -- This message was sent by Atlassian JIRA (v7.6.3#76005)