Congratulations everyone!
On Mon, 28 May 2018 at 21:42 Li Jin wrote:
> Congrats everyone!
> On Mon, May 28, 2018 at 3:21 PM Jacques Nadeau wrote:
>
> > Woo!
> >
> > On Mon, May 28, 2018 at 4:50 PM, Wes McKinney
> wrote:
> >
> > > Congrats all! The journey continues
> > >
> > > On Mon, May 28,
Hi Everyone,
I've encountered a memory mapping error when attempting to read a parquet
file to a Pandas DataFrame. It seems to be happening intermittently though,
I've so far encountered it once. In my case the pq.read_table code is being
invoked in a Linux docker container. I had a look at the do
hu, 25 Jan 2018 at 15:37 simba nyatsanga wrote:
> Thanks all for the great feedback!
>
> Thanks Daniel for the sample data sets. I loaded them up and they're quite
> comparable in size to some of the data I'm dealing with. In my case the
> shapes range from 150 to ~100millio
instance, if
> you
> > > store measurements, it is very typical to have very strong
> correlations.
> > > Likewise if the rows are, say, the time evolution of an optimization.
> You
> > > also have a very small number of rows which can penalize system that
> >
them somewhere and link
> to them in the mails. Attachments are always stripped on Apache
> mailing lists.
> Uwe
>
>
> On Wed, Jan 24, 2018, at 1:48 PM, simba nyatsanga wrote:
> > Hi Everyone,
> >
> > I did some benchmarking to compare the disk size performance w
Hi Everyone,
I did some benchmarking to compare the disk size performance when writing
Pandas DataFrames to parquet files using Snappy and Brotli compression. I
then compared these numbers with those of my current file storage solution.
In my current (non Arrow+Parquet solution), every column in
t.
>
> - Wes
>
> On Mon, Jan 22, 2018 at 4:50 PM, simba nyatsanga
> wrote:
> > Hi Uwe,
> >
> > Thank you very much for the detailed explanation. I have a much better
> > understanding now.
> >
> > Cheers
> >
> > On Mon, 22 Jan 2018 at
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 Every
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 what I gather, Arrow
arrays enforce a uniform type depending on the type of the first
encountered element in a s
r an
> ndarray. Returning ndarray is faster and much more memory efficient;
> producing lists would require creating a lot of Python objects.
>
> Hypothetically, we could add an option to return lists instead of
> ndarrays if there were a strong enough need.
>
> - Wes
>
&
arrow_to_pandas.cc#L541
>
> - Wes
>
> On Thu, Jan 18, 2018 at 1:26 PM, simba nyatsanga
> wrote:
>
> > Good day everyone,
> >
> > I noticed what looks like type inference happening after persisting a
> > pandas DataFrame where one of the column values is a li
Good day everyone,
I noticed what looks like type inference happening after persisting a
pandas DataFrame where one of the column values is a list. When I load up
the DataFrame again and do df.to_dict(), the value is no longer a list but
a numpy array. I dug through functions in the pandas_compat.
is progressing.
>
> - Wes
>
> On Sun, Jan 14, 2018 at 9:19 AM, simba nyatsanga
> wrote:
> > Thanks a lot. I see that there's a PR that's been opened to resolve the
> > encoding issue - https://github.com/apache/arrow/pull/1476
> >
> > Do you think this
#x27;s
merged?
Kind Regards
On Sun, 14 Jan 2018 at 15:50 Uwe L. Korn wrote:
> Nice to hear that it worked.
>
> Updating the docs should not be necessary, we should rather see that we
> soon get a 0.9.0 release out (but that will also take some more weeks)
>
> Uwe
>
> On Su
the package discovery using pkg-config instead of the
> *_HOME variables. Currently this is the only path on which we can
> auto-detect the extension of the parquet shared library.
>
> Nevertheless, I will take a shot at fixing the issues as it seems that
> multiple users run into it.
rquet.1.dylib ->
libparquet.1.3.2.dylib-rw-r--r--1 simba staff 3.0M Jan 11 18:45
libparquet.a
lrwxr-xr-x1 simba staff18B Jan 11 18:45 libparquet.dylib ->
libparquet.1.dylib
Just to clarify also, I'm attempting to build the wheel from within
*arrow/python* folder where th
ng development instructions in
>
> http://arrow.apache.org/docs/python/development.html#developing-on-linux-and-macos
> or something else?
>
> - Wes
>
> On Wed, Jan 10, 2018 at 11:20 AM, simba nyatsanga
> wrote:
> > Hi,
> >
> > I've created a python 2.7 v
Hi,
I've created a python 2.7 virtualenv in my attempt to build the pyarrow
project. But I'm having trouble running one of commands as specified in the
development docs on Github, specifically this command:
cd arrow/python
python setup.py build_ext --build-type=$ARROW_BUILD_TYPE \
--with-p
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