On Fri, Dec 4, 2015 at 6:13 AM, David Cournapeau wrote:
>
>
> On Fri, Dec 4, 2015 at 11:06 AM, Nathaniel Smith wrote:
>
>> On Fri, Dec 4, 2015 at 1:27 AM, David Cournapeau
>> wrote:
>> > I would be in favour of dropping 3.3, but not 2.6
The idea of a one-byte string dtype has been extensively discussed twice
before, with a lot of good input and ideas, but no action [1, 2].
tl;dr: Perfect is the enemy of good. Can numpy just add a one-byte string
dtype named 's' that uses latin-1 encoding as a bridge to enable Python 3
usage in
On Sun, Feb 22, 2015 at 5:56 PM, Aldcroft, Thomas
aldcr...@head.cfa.harvard.edu wrote:
On Sun, Feb 22, 2015 at 5:46 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sun, Feb 22, 2015 at 3:40 PM, Aldcroft, Thomas
aldcr...@head.cfa.harvard.edu wrote:
On Sun, Feb 22, 2015
On Sun, Feb 22, 2015 at 2:52 PM, Nathaniel Smith n...@pobox.com wrote:
On Sun, Feb 22, 2015 at 10:21 AM, Aldcroft, Thomas
aldcr...@head.cfa.harvard.edu wrote:
The idea of a one-byte string dtype has been extensively discussed twice
before, with a lot of good input and ideas, but no action
On Sun, Feb 22, 2015 at 5:46 PM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Sun, Feb 22, 2015 at 3:40 PM, Aldcroft, Thomas
aldcr...@head.cfa.harvard.edu wrote:
On Sun, Feb 22, 2015 at 2:52 PM, Nathaniel Smith n...@pobox.com wrote:
On Sun, Feb 22, 2015 at 10:21 AM, Aldcroft
On Tue, Jul 15, 2014 at 11:15 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Tue, Jul 15, 2014 at 5:26 AM, Sebastian Berg
sebast...@sipsolutions.net wrote:
On Sa, 2014-07-12 at 12:17 -0500, Charles R Harris wrote:
As previous posts have pointed out, Numpy's `S` type is
On Thu, Jul 17, 2014 at 11:52 AM, Nathaniel Smith n...@pobox.com wrote:
On Tue, Jul 15, 2014 at 7:40 PM, Aldcroft, Thomas
aldcr...@head.cfa.harvard.edu wrote:
On Sat, Jul 12, 2014 at 8:02 PM, Nathaniel Smith n...@pobox.com wrote:
OTOH, fixed length nul padded latin1 would be useful
On Wed, Jul 16, 2014 at 6:48 AM, Todd toddr...@gmail.com wrote:
On Jul 16, 2014 11:43 AM, Chris Barker chris.bar...@noaa.gov wrote:
So numpy should have dtypes to match these. We're a bit stuck, however,
because 'S' mapped to the py2 string type, which no longer exists in py3.
Sorry not
On Sat, Jul 12, 2014 at 8:02 PM, Nathaniel Smith n...@pobox.com wrote:
On 12 Jul 2014 23:06, Charles R Harris charlesr.har...@gmail.com
wrote:
As previous posts have pointed out, Numpy's `S` type is currently
treated as a byte string, which leads to more complicated code in python3.
OTOH,
On Mon, Jan 20, 2014 at 6:12 PM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Mon, Jan 20, 2014 at 3:58 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Mon, Jan 20, 2014 at 3:35 PM, Nathaniel Smith n...@pobox.com wrote:
On Mon, Jan 20, 2014 at 10:28 PM, Charles R
On Tue, Jan 21, 2014 at 8:55 AM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Tue, Jan 21, 2014 at 5:54 AM, Aldcroft, Thomas
aldcr...@head.cfa.harvard.edu wrote:
On Mon, Jan 20, 2014 at 6:12 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Mon, Jan 20, 2014 at 3
On Mon, Jan 20, 2014 at 5:11 AM, Oscar Benjamin
oscar.j.benja...@gmail.comwrote:
On Fri, Jan 17, 2014 at 02:30:19PM -0800, Chris Barker wrote:
Folks,
I've been blathering away on the related threads a lot -- sorry if it's
too
much. It's gotten a bit tangled up, so I thought I'd start a
On Mon, Jan 20, 2014 at 10:40 AM, Oscar Benjamin oscar.j.benja...@gmail.com
wrote:
On Mon, Jan 20, 2014 at 10:00:55AM -0500, Aldcroft, Thomas wrote:
On Mon, Jan 20, 2014 at 5:11 AM, Oscar Benjamin
oscar.j.benja...@gmail.comwrote:
How significant are the performance issues? Does anyone
On Fri, Jan 17, 2014 at 5:59 AM, Pauli Virtanen p...@iki.fi wrote:
Julian Taylor jtaylor.debian at googlemail.com writes:
[clip]
- inconvenience in dealing with strings in python 3.
bytes are not strings in python3 which means ascii data is either a byte
array which can be inconvenient
On Fri, Jan 17, 2014 at 4:43 PM, josef.p...@gmail.com wrote:
On Fri, Jan 17, 2014 at 4:20 PM, Chris Barker chris.bar...@noaa.gov
wrote:
On Fri, Jan 17, 2014 at 12:36 PM, josef.p...@gmail.com wrote:
('S' ?) -- which is probably not what you want particularly if you
specify
an
On Fri, Jan 17, 2014 at 5:30 PM, Chris Barker chris.bar...@noaa.gov wrote:
Folks,
I've been blathering away on the related threads a lot -- sorry if it's
too much. It's gotten a bit tangled up, so I thought I'd start a new one to
address this one question (i.e. dont bring up genfromtext
For the astropy Table class (which wraps numpy structured arrays), I
wrote functions that perform table joins and concatenate tables along
rows or columns. These are reasonably full-featured and handle most
of the common needs for these operations. The join function here
addresses some
On Thu, Jun 13, 2013 at 5:06 PM, josef.p...@gmail.com wrote:
On Thu, Jun 13, 2013 at 4:47 PM, Eric Firing efir...@hawaii.edu wrote:
On 2013/06/13 10:36 AM, Benjamin Root wrote:
On Thu, Jun 13, 2013 at 9:36 AM, Aldcroft, Thomas
aldcr...@head.cfa.harvard.edu mailto:aldcr
On Wed, Jun 12, 2013 at 2:55 PM, Eric Firing efir...@hawaii.edu wrote:
On 2013/06/12 8:13 AM, Warren Weckesser wrote:
That's why I suggested 'filledwith' (add the underscore if you like).
This also allows a corresponding masked implementation, 'ma.filledwith',
without clobbering the
On Mon, Jun 10, 2013 at 3:47 PM, Nathaniel Smith n...@pobox.com wrote:
Hi all,
Is there anyone out there using numpy masked arrays, who has an
opinion on how empty_like (and its friends ones_like, zeros_like)
should handle the mask?
Right now apparently if you call np.ma.empty_like on a
I'm seeing some behavior that I can't understand when creating a numpy
array of Python objects. Basically it seems that np.array() is calling the
object __getitem__ method for one object class but not another class, and I
can't understand the difference.
Here is an example, starting with a
On Thu, May 30, 2013 at 4:27 PM, Robert Kern robert.k...@gmail.com wrote:
On Thu, May 30, 2013 at 9:21 PM, Aldcroft, Thomas
aldcr...@head.cfa.harvard.edu wrote:
I'm seeing some behavior that I can't understand when creating a numpy
array
of Python objects. Basically it seems that np.array
On Thu, May 30, 2013 at 4:58 PM, Aldcroft, Thomas
aldcr...@head.cfa.harvard.edu wrote:
On Thu, May 30, 2013 at 4:27 PM, Robert Kern robert.k...@gmail.comwrote:
On Thu, May 30, 2013 at 9:21 PM, Aldcroft, Thomas
aldcr...@head.cfa.harvard.edu wrote:
I'm seeing some behavior that I can't
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