Ian Roddis created ARROW-2017:
-
Summary: Array initialization with large (>2**31-1) uint64 values
fails
Key: ARROW-2017
URL: https://issues.apache.org/jira/browse/ARROW-2017
Project: Apache Arrow
Great! Thanks Wes. It's really great and interesting to see a concerted
effort to have a conversion from a language specific implementation of
common data structures into a common memory layout that can be consumed by
another language (HashMap in Java/ Hash in Ruby etc). Excited to see how
the API
Note we have https://issues.apache.org/jira/browse/ARROW-1705 (and
maybe some other JIRAs, I'd have to go digging) about improving
support for converting Python dicts to the right Arrow memory layout.
- Wes
On Mon, Jan 22, 2018 at 4:50 PM, simba nyatsanga wrote:
> Hi Uwe,
>
> Thank you very much
Hi Uwe,
Thank you very much for the detailed explanation. I have a much better
understanding now.
Cheers
On Mon, 22 Jan 2018 at 19:37 Uwe L. Korn wrote:
> Hello Simba,
>
> find the answers inline.
>
> On Mon, Jan 22, 2018, at 7:29 AM, simba nyatsanga wrote:
> > Hi Everyone,
> >
> > I've got tw
Hello Simba,
find the answers inline.
On Mon, Jan 22, 2018, at 7:29 AM, simba nyatsanga wrote:
> Hi Everyone,
>
> I've got two questions that I'd like help with:
>
> 1. Pandas and numpy arrays can handle multiple types in a sequence eg. a
> float and a string by using the dtype=object. From wha
