[jira] [Updated] (ARROW-2722) [Python] ndarray to arrow conversion fails when downcasted from pandas to_numeric
[ https://issues.apache.org/jira/browse/ARROW-2722?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated ARROW-2722: -- Labels: pull-request-available (was: ) > [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 > Labels: pull-request-available > 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) > in () > 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)
[jira] [Updated] (ARROW-2722) [Python] ndarray to arrow conversion fails when downcasted from pandas to_numeric
[ https://issues.apache.org/jira/browse/ARROW-2722?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wes McKinney updated ARROW-2722: Fix Version/s: 0.10.0 > [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 >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) > in () > 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)
[jira] [Updated] (ARROW-2722) [Python] ndarray to arrow conversion fails when downcasted from pandas to_numeric
[ https://issues.apache.org/jira/browse/ARROW-2722?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wes McKinney updated ARROW-2722: Summary: [Python] ndarray to arrow conversion fails when downcasted from pandas to_numeric (was: ndarray to arrow conversion fails when downcasted from pandas to_numeric) > [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 >Priority: Major > > 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) > in () > 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)