[jira] [Created] (ARROW-2147) [Python] Type inference doesn't work on lists of Numpy arrays

Antoine Pitrou created ARROW-2147: - Summary: [Python] Type inference doesn't work on lists of Numpy arrays Key: ARROW-2147 URL: https://issues.apache.org/jira/browse/ARROW-2147 Project: Apache Arrow

[jira] [Created] (ARROW-2150) [Python] array equality defaults to identity

Antoine Pitrou created ARROW-2150: - Summary: [Python] array equality defaults to identity Key: ARROW-2150 URL: https://issues.apache.org/jira/browse/ARROW-2150 Project: Apache Arrow Issue

[jira] [Created] (ARROW-2146) [GLib] Implement Slice for ChunkedArray

yosuke shiro created ARROW-2146: --- Summary: [GLib] Implement Slice for ChunkedArray Key: ARROW-2146 URL: https://issues.apache.org/jira/browse/ARROW-2146 Project: Apache Arrow Issue Type:

[jira] [Created] (ARROW-2148) [Python] to_pandas() on struct array returns object array

Antoine Pitrou created ARROW-2148: - Summary: [Python] to_pandas() on struct array returns object array Key: ARROW-2148 URL: https://issues.apache.org/jira/browse/ARROW-2148 Project: Apache Arrow

[jira] [Created] (ARROW-2149) [Python] reorganize test_convert_pandas.py

Antoine Pitrou created ARROW-2149: - Summary: [Python] reorganize test_convert_pandas.py Key: ARROW-2149 URL: https://issues.apache.org/jira/browse/ARROW-2149 Project: Apache Arrow Issue

Re: Arrow for MATLAB?

Hello Joris, this is only due to lack of someone doing it and probably due to lack of people that have the experience to do that. I had a short look at Matlab's C++ API and the interfaces seem to be promising enough https://de.mathworks.com/help/matlab/matlab-data-array.html that once someone

[jira] [Created] (ARROW-2152) [Format] UUID type

Uwe L. Korn created ARROW-2152: -- Summary: [Format] UUID type Key: ARROW-2152 URL: https://issues.apache.org/jira/browse/ARROW-2152 Project: Apache Arrow Issue Type: Improvement

Re: Arrow for MATLAB?

The MathWorks is in the process of starting to contribute. I spoke with them a couple weeks ago about this and they were excited about it. I can ping them to see if they are still interested. On Tue, Feb 13, 2018, 09:24 Uwe L. Korn wrote: > Hello Joris, > > this is only due to

Add a UUID type to the Arrow format

Hello, I just opened https://issues.apache.org/jira/browse/ARROW-2152 to start the discussion about adding a UUID type to the Arrow format specification. In its essence a UUID is simply a 128bit array but there are often special classes used for it, e.g. java.util.UUID in Java and uuid.UUID in

[jira] [Created] (ARROW-2151) [Python] Error when converting from list of uint64 arrays

Antoine Pitrou created ARROW-2151: - Summary: [Python] Error when converting from list of uint64 arrays Key: ARROW-2151 URL: https://issues.apache.org/jira/browse/ARROW-2151 Project: Apache Arrow

RE: JDBC Adapter for Apache-Arrow

Hi Uwe, Sorry for late response on this thread. We have started some discussions internally. I wanted to know what help you would need specifically on the JDBC Adapter front, we would be happy to collaborate. At this time, we were mainly trying to model it around the C++ work that has gone in.

Merge multiple record batches

Hi, If I have multiple RecordBatchStreamReader inputs, what is the recommended way to get all the RecordBatch from all the inputs together, maybe in a Table? They all have the same schema. The source for the readers are different files. So, I do something like: reader1 = pa.open_stream('foo')

Decimal NaNs

Recently someone opened ARROW-2145 asking for support for non-finite values, such as NaN and infinity. It may seem like a “no-brainer” to implement this, but there’s no real consistency on how to implement it or *even to implement

[jira] [Created] (ARROW-2153) decimal conversion not working for exponential notation

Antony Mayi created ARROW-2153: -- Summary: decimal conversion not working for exponential notation Key: ARROW-2153 URL: https://issues.apache.org/jira/browse/ARROW-2153 Project: Apache Arrow