Hi!
It seems that if a DataFrame contains both numeric and object columns,
the whole DataFrame is pickled and not that only object columns are
pickled? Is this right? Are there any plans to improve this?
Mitar
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https://twitter.com/mitar_m
Hi!
It seems numpy's matrix is not supported in recent versions of pyarrow:
https://issues.apache.org/jira/browse/ARROW-3399
Any ideas why this would be happening?
Mitar
--
http://mitar.tnode.com/
https://twitter.com/mitar_m
Hi!
I do not know where to start looking into this? Not sure if I have
enough knowledge about arrow to be able to make a PR.
Miar
On Sat, Mar 30, 2019 at 3:17 PM Wes McKinney wrote:
>
> hi Mitar,
>
> I see you reported the issue on October 2 and no one has volunteered
> to fix
here.
An interesting fact is that this worked in older versions of numpy,
but stopped in numpy 1.15.2. It works with numpy 1.14.3. So it is them
changing something.
Mitar
On Sat, Mar 30, 2019 at 3:34 PM Philipp Moritz wrote:
>
> Hey Mitar,
>
> It might be as simple as adding a
Hi!
I agree. This is in fact all information which is already there. :-)
Mitar
On Sat, Mar 30, 2019 at 8:40 PM Wes McKinney wrote:
>
> hi Mitar,
>
> Let's discuss further on JIRA? It's best to keep all the information
> about the issue in one place.
>
> Thanks
&
attempt at registering
custom serialization:
https://gitlab.com/datadrivendiscovery/metadata/blob/plasma/d3m_metadata/container/numpy.py#L135
It looks like custom serialization is not called.
Mitar
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http://mitar.tnode.com/
https://twitter.com/mitar_m
serialization for
ndarray but the existing ndarray serialization would work, casting it
into a proper subclass.
Mitar
On Sun, Mar 4, 2018 at 2:39 PM, Robert Nishihara
wrote:
> The issue is probably this line
>
> https://github.com/apache/arrow/blob/8b1c8118b017a941f0102709d72df7e5a9783aa4/cpp/
Hi!
The website seems to say that there is already a pyarrow 0.9.0
package, but it does not seem to be there yet:
https://arrow.apache.org/install/#python-wheels-on-pypi-unofficial
https://pypi.python.org/pypi/pyarrow
BTW, why are Python packages unofficial?
Mitar
On Thu, Mar 22, 2018 at 8
Hi!
Oh, no worries. Thanks for working on this. I just thought that
because the website went up it is ready and thought that there is some
bug there. I understand it takes time to do a release, properly.
Mitar
On Thu, Mar 22, 2018 at 11:35 AM, Phillip Cloud wrote:
> We are working on gett
Mitar created ARROW-1664:
Summary: Support for xarray.DataArray and xarray.Dataset
Key: ARROW-1664
URL: https://issues.apache.org/jira/browse/ARROW-1664
Project: Apache Arrow
Issue Type: Bug
Mitar created ARROW-2250:
Summary: plasma_store process should cleanup on TERM signal as well
Key: ARROW-2250
URL: https://issues.apache.org/jira/browse/ARROW-2250
Project: Apache Arrow
Issue Type
Mitar created ARROW-2264:
Summary: Efficiently serialize numpy arrays with dtype of unicode
fixed length string
Key: ARROW-2264
URL: https://issues.apache.org/jira/browse/ARROW-2264
Project: Apache Arrow
Mitar created ARROW-2269:
Summary: Cannot build bdist_wheel for Python
Key: ARROW-2269
URL: https://issues.apache.org/jira/browse/ARROW-2269
Project: Apache Arrow
Issue Type: Bug
Mitar created ARROW-2273:
Summary: Cannot deserialize pandas SparseDataFrame
Key: ARROW-2273
URL: https://issues.apache.org/jira/browse/ARROW-2273
Project: Apache Arrow
Issue Type: Bug
Mitar created ARROW-3399:
Summary: Cannot serialize numpy matrix object
Key: ARROW-3399
URL: https://issues.apache.org/jira/browse/ARROW-3399
Project: Apache Arrow
Issue Type: Bug
Affects
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