[jira] [Commented] (ARROW-5952) [Python] Segfault when reading empty table with category as pandas dataframe

[ https://issues.apache.org/jira/browse/ARROW-5952?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16906634#comment-16906634 ] Daniel Nugent commented on ARROW-5952: -- FWIW, I tried to figure out where this was getting handled

[jira] [Commented] (ARROW-5952) [Python] Segfault when reading empty table with category as pandas dataframe

[ https://issues.apache.org/jira/browse/ARROW-5952?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16896323#comment-16896323 ] Daniel Nugent commented on ARROW-5952: -- Just wanted to note that it is still present in 0.14.1 >

[jira] [Updated] (ARROW-5952) [Python] Segfault when reading empty table with category as pandas dataframe

[ https://issues.apache.org/jira/browse/ARROW-5952?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Daniel Nugent updated ARROW-5952: - Affects Version/s: 0.14.1 > [Python] Segfault when reading empty table with category as pandas

[jira] [Commented] (ARROW-5103) Segfault when using chunked_array.to_pandas on array different types (edge case)

[ https://issues.apache.org/jira/browse/ARROW-5103?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16886412#comment-16886412 ] Daniel Nugent commented on ARROW-5103: -- Looks like it's fixed as of 0.14 > Segfault when using

[jira] [Created] (ARROW-5952) [Python] Segfault when reading empty table with category as pandas dataframe

Daniel Nugent created ARROW-5952: Summary: [Python] Segfault when reading empty table with category as pandas dataframe Key: ARROW-5952 URL: https://issues.apache.org/jira/browse/ARROW-5952 Project:

[jira] [Updated] (ARROW-6625) [Python] Allow concat_tables to null or default fill missing columns

[ https://issues.apache.org/jira/browse/ARROW-6625?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Daniel Nugent updated ARROW-6625: - Summary: [Python] Allow concat_tables to null or default fill missing columns (was: Allow

[jira] [Created] (ARROW-6625) Allow concat_tables to null or default fill missing columns

Daniel Nugent created ARROW-6625: Summary: Allow concat_tables to null or default fill missing columns Key: ARROW-6625 URL: https://issues.apache.org/jira/browse/ARROW-6625 Project: Apache Arrow

[jira] [Commented] (ARROW-6625) [Python] Allow concat_tables to null or default fill missing columns

[ https://issues.apache.org/jira/browse/ARROW-6625?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16939058#comment-16939058 ] Daniel Nugent commented on ARROW-6625: -- [~zhuopeng] I am not working on it. I would have to leave

[jira] [Comment Edited] (ARROW-5379) [Python] support pandas' nullable Integer type in from_pandas

[ https://issues.apache.org/jira/browse/ARROW-5379?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16937175#comment-16937175 ] Daniel Nugent edited comment on ARROW-5379 at 9/24/19 8:30 PM: --- Is this

[jira] [Commented] (ARROW-5379) [Python] support pandas' nullable Integer type in from_pandas

[ https://issues.apache.org/jira/browse/ARROW-5379?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16937175#comment-16937175 ] Daniel Nugent commented on ARROW-5379: -- Is this actually something that would be appropriate to

[jira] [Commented] (ARROW-1957) [Python] Write nanosecond timestamps using new NANO LogicalType Parquet unit

[ https://issues.apache.org/jira/browse/ARROW-1957?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17044655#comment-17044655 ] Daniel Nugent commented on ARROW-1957: -- [~tpboudreau] Perhaps this issue should be reopened. This

[jira] [Commented] (ARROW-1957) [Python] Write nanosecond timestamps using new NANO LogicalType Parquet unit

[ https://issues.apache.org/jira/browse/ARROW-1957?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17045894#comment-17045894 ] Daniel Nugent commented on ARROW-1957: -- Ah, my apologies. I see where my error was. I failed to

[jira] [Created] (ARROW-8070) [Python] Casting Segfault

Daniel Nugent created ARROW-8070: Summary: [Python] Casting Segfault Key: ARROW-8070 URL: https://issues.apache.org/jira/browse/ARROW-8070 Project: Apache Arrow Issue Type: Bug

[jira] [Created] (ARROW-8105) [Python] pyarrow.array segfaults when passed masked array with shrunken mask

Daniel Nugent created ARROW-8105: Summary: [Python] pyarrow.array segfaults when passed masked array with shrunken mask Key: ARROW-8105 URL: https://issues.apache.org/jira/browse/ARROW-8105 Project:

[jira] [Commented] (ARROW-8105) [Python] pyarrow.array segfaults when passed masked array with shrunken mask

[ https://issues.apache.org/jira/browse/ARROW-8105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17058480#comment-17058480 ] Daniel Nugent commented on ARROW-8105: -- Put up a PR. Independent of the big: if masked arrays are

[jira] [Created] (ARROW-8900) Respect HTTP(S)_PROXY for S3 Filesystems and/or expose proxy options as parameters

Daniel Nugent created ARROW-8900: Summary: Respect HTTP(S)_PROXY for S3 Filesystems and/or expose proxy options as parameters Key: ARROW-8900 URL: https://issues.apache.org/jira/browse/ARROW-8900

[jira] [Created] (ARROW-9150) Support Dictionary Unification with Concatenate

Daniel Nugent created ARROW-9150: Summary: Support Dictionary Unification with Concatenate Key: ARROW-9150 URL: https://issues.apache.org/jira/browse/ARROW-9150 Project: Apache Arrow Issue

[jira] [Comment Edited] (ARROW-7363) [Python] flatten() doesn't work on ChunkedArray

[ https://issues.apache.org/jira/browse/ARROW-7363?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17133993#comment-17133993 ] Daniel Nugent edited comment on ARROW-7363 at 6/12/20, 7:10 AM: It seems

[jira] [Commented] (ARROW-7363) [Python] flatten() doesn't work on ChunkedArray

[ https://issues.apache.org/jira/browse/ARROW-7363?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17133993#comment-17133993 ] Daniel Nugent commented on ARROW-7363: -- It seems like there should be *some* way to get to a

[jira] [Created] (ARROW-12431) [Python] pa.array mask inverted when type is binary and value to be converted in numpy array

Daniel Nugent created ARROW-12431: - Summary: [Python] pa.array mask inverted when type is binary and value to be converted in numpy array Key: ARROW-12431 URL: https://issues.apache.org/jira/browse/ARROW-12431

[jira] [Created] (ARROW-11634) [Python] Parquet statistics for dictionary columns are incorrect

Daniel Nugent created ARROW-11634: - Summary: [Python] Parquet statistics for dictionary columns are incorrect Key: ARROW-11634 URL: https://issues.apache.org/jira/browse/ARROW-11634 Project: Apache