Dear all,
Are we going to consider returning the index of maximum value in an array
easily
without calling np.argmax and np.unravel_index consecutively?
I saw few posts in mailing archive and stackover flow on this, when I tried
to return
the index of maximum value of 2d array.
It seems that I
Hi Chao,
in two dimensions the following works very well:
In [97]: a = np.random.randn(5,7)
In [98]: a[divmod(a.argmax(), a.shape[1])]
Out[98]: 1.3680204597100922
In [99]: a.max()
Out[99]: 1.3680204597100922
In [100]:
In [100]: b = a[divmod(a.argmax(), a.shape[1])]
In [101]: b==a.max()
Hi,
I find this to be a little strange:
x = numpy.arange(10)
isinstance(x[0],int)
gives True
y = numpy.where(x 5)[0]
isinstance(y[0],int)
gives False
isinstance(y[0],long)
gives True
Specs: Python 2.7.2, numpy-1.6.1, Win7, 64 bit
Best regards,
Mads
--
Pierre Raybaut pierre.raybaut at gmail.com writes:
Hi all,
I'm pleased to announce that the first previews of WinPython for
Python 3 32bit and 64bit are available (WinPython v3.3.0.0alpha1):
http://code.google.com/p/winpython/
This first release based on Python 3 required to migrate the
On Thu, 2013-01-10 at 11:32 +0100, Mads Ipsen wrote:
Hi,
I find this to be a little strange:
x = numpy.arange(10)
isinstance(x[0],int)
gives True
y = numpy.where(x 5)[0]
isinstance(y[0],int)
gives False
isinstance(y[0],long)
Check what
On Thu, 2013-01-10 at 11:32 +0100, Mads Ipsen wrote:
Hi,
I find this to be a little strange:
x = numpy.arange(10)
isinstance(x[0],int)
gives True
y = numpy.where(x 5)[0]
isinstance(y[0],int)
gives False
isinstance(y[0],long)
Check what
QR without column pivoting is a nice option for
safe problems, but it doesn't
provide a reliable indication of rank
reduction. I also don't find pinv useful
once the rank goes down, since it relies on
Euclidean distance having relevance in
parameter space and that is seldom a sound
Sebastian - thanks - very helpful.
Best regards,
Mads
On 10/01/2013 12:06, Sebastian Berg wrote:
On Thu, 2013-01-10 at 11:32 +0100, Mads Ipsen wrote:
Hi,
I find this to be a little strange:
x = numpy.arange(10)
isinstance(x[0],int)
gives True
y = numpy.where(x 5)[0]
Hi,
Jaakko Luttinen jaakko.luttinen at aalto.fi writes:
I'm trying to use numpydoc (Sphinx extension) for my project written in
Python 3.2. However, installing numpydoc gives errors shown at
http://pastebin.com/MPED6v9G and although it says Successfully
installed numpydoc, trying to import
Hi,
Just to note, as they plan to remove there dependency on it this year,
is it bad that they can't use 1.8 for a few mounts until they finish
the conversion? They already have a working version. They can continue
to use it for as long they want. The only advantage for them if the
compat layers
The files in numpy/doc/sphinxext/ and numpydoc/ (from PyPI) are a bit
different. Which ones should be modified?
-Jaakko
On 01/10/2013 02:04 PM, Pauli Virtanen wrote:
Hi,
Jaakko Luttinen jaakko.luttinen at aalto.fi writes:
I'm trying to use numpydoc (Sphinx extension) for my project written
Jaakko Luttinen jaakko.luttinen at aalto.fi writes:
The files in numpy/doc/sphinxext/ and numpydoc/ (from PyPI) are a bit
different. Which ones should be modified?
The stuff in sphinxext/ is the development version of the package on
PyPi, so the changes should be made in sphinxext/
--
Pauli
On 01/10/2013 05:04 PM, Pauli Virtanen wrote:
Jaakko Luttinen jaakko.luttinen at aalto.fi writes:
The files in numpy/doc/sphinxext/ and numpydoc/ (from PyPI) are a bit
different. Which ones should be modified?
The stuff in sphinxext/ is the development version of the package on
PyPi, so the
Hi,
I run `python3 setup.py config` and then
python3 setup.py build --compiler=mingw32
but it picks that I have MSVC 10 and complains about manifests.
Why, or even better, how to compile with available MinGW compilers?
Here is log:
I'm all for a big scary warning on import. Fair warning is good for
everyone, not just our developers.
As for testing, our software that uses the API is tested nightly. So if
our software stops working, and the compatibility layer is the cause, we
would definitely be looking into what happened.
On Thu, Jan 10, 2013 at 3:56 PM, klo klo...@gmail.com wrote:
Hi,
I run `python3 setup.py config` and then
python3 setup.py build --compiler=mingw32
but it picks that I have MSVC 10 and complains about manifests.
Why, or even better, how to compile with available MinGW compilers?
I
based on our situation
On 10/01/2013 9:02 AM, Christopher Hanley wrote:
I'm all for a big scary warning on import. Fair
warning is good for everyone, not just our developers.
agree
As
I reported this issue/bug to the mailing list recently as part of
a discussion with Ralf which lead to various fixes being made
to get NumPy to compile with either mingw32 or MSCV 10.
http://mail.scipy.org/pipermail/numpy-discussion/2012-November/064454.html
My workaround is to change the
On 1/10/2013 8:35 AM, klo wrote:
I reported this issue/bug to the mailing list recently as part of
a discussion with Ralf which lead to various fixes being made
to get NumPy to compile with either mingw32 or MSCV 10.
http://mail.scipy.org/pipermail/numpy-discussion/2012-November/064454.html
Ondřej, Vincent, and Ralf (and others..)
Thank you so much for doing all this -- it's a great service to the
MacPython community.
-Chris
--
Christopher Barker, Ph.D.
Oceanographer
Emergency Response Division
NOAA/NOS/ORR(206) 526-6959 voice
7600 Sand Point Way NE (206)
Numpy = 1.6 is not compatible with Python 3.3. Use numpy = 1.7.0rc1.
Thanks for the tip
1.7.0rc builds without issue
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Numpy = 1.6 is not compatible with Python 3.3. Use numpy = 1.7.0rc1.
Thanks for the tip
1.7.0rc builds without issue
Actually, this isn't over. It builds fine, but when I try to import
numpy I get error:
...
from numpy.linalg import lapack_lite
Actually, this isn't over. It builds fine, but when I try to import
numpy I get error:
...
Sorry for the noise, after re-reading tracelog, I realized that I accidentally
removed c:\python33\libs\libpython33.a while removing previous non-working
numpy
On Wed, Jan 9, 2013 at 11:21 PM, Ralf Gommers ralf.gomm...@gmail.com wrote:
Sure, no problem. For the part that needs to be built on 10.6 that is.
Vincent's box still has 10.5, right?
Yes.
Ondrej
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On Thu, Jan 10, 2013 at 9:26 AM, Chris Barker - NOAA Federal
chris.bar...@noaa.gov wrote:
Ondřej, Vincent, and Ralf (and others..)
Thank you so much for doing all this -- it's a great service to the
MacPython community.
Chris, thank you for your help as well!
Ondrej
On Thu, Jan 10, 2013 at 12:20 PM, klo klo...@gmail.com wrote:
Actually, this isn't over. It builds fine, but when I try to import
numpy I get error:
...
Sorry for the noise, after re-reading tracelog, I realized that I accidentally
removed
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