Dear experts,
I can do below operation in matlab but I wanted to do the same in python numpy
array.
I tried np.vstak and np.concatenate but not getting the desired results.
please help. I wanted to add a row of zeros to the beginning of a numpy array.
What is the available quick way.
Hi there,
I agreed to help organising NumPy sprints during the scipy 2013
conference in Austin.
As some of you may know, Stéfan and me will present a tutorial on
NumPy C code, so if we do our job correctly, we should have a few new
people ready to help out during the sprints.
It would be good
Hi all,
I am pleased to announce that four new versions of WinPython have been
released yesterday with Python 2.7.5 and 3.3.2, 32 and 64 bits. Many
packages have been added or upgraded.
Special thanks to Christoph Gohlke for building most of the binary packages
bundled in WinPython.
WinPython
On Sat, May 25, 2013 at 8:23 AM, David Cournapeau courn...@gmail.comwrote:
Hi there,
I agreed to help organising NumPy sprints during the scipy 2013
conference in Austin.
As some of you may know, Stéfan and me will present a tutorial on
NumPy C code, so if we do our job correctly, we
On Sat, May 25, 2013 at 4:19 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sat, May 25, 2013 at 8:23 AM, David Cournapeau courn...@gmail.com
wrote:
Hi there,
I agreed to help organising NumPy sprints during the scipy 2013
conference in Austin.
As some of you may know, Stéfan
I'm not sure what you tried, but stack will do what you are seeking:
In [7]: cc = np.ones((2,10)) * np.arange(1, 11)
In [8]: cc
Out[8]:
array([[ 1., 2., 3., 4., 5., 6., 7., 8., 9., 10.],
[ 1., 2., 3., 4., 5., 6., 7., 8., 9., 10.]])
In [9]:
Thank you Brian,
I was missing the outer brackets.!!
with best regards,
Sudheer
***
Sudheer Joseph
Indian National Centre for Ocean Information Services
Ministry of Earth Sciences, Govt. of India
POST BOX NO: 21,
Thank you Brian,
Though the simple example worked for me, there appears to
the some logic which I did not capture fully.
I have a 11x5 array named p from which I get a cumulative sum by doing below
operations. I tried transposing the zero array to match the dimension( after
On Sat, May 25, 2013 at 12:37 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sat, May 25, 2013 at 9:51 AM, David Cournapeau courn...@gmail.comwrote:
On Sat, May 25, 2013 at 4:19 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sat, May 25, 2013 at 8:23 AM, David
On Sat, May 25, 2013 at 6:59 PM, Benjamin Root ben.r...@ou.edu wrote:
On Sat, May 25, 2013 at 12:37 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sat, May 25, 2013 at 9:51 AM, David Cournapeau courn...@gmail.comwrote:
On Sat, May 25, 2013 at 4:19 PM, Charles R Harris
Dear Brian,
I even tried below but no luck!
In [138]: xx=np.zeros(11)
In [139]: xx
Out[139]: array([ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])
In [147]: xx.shape
Out[147]: (11,)
In [140]: xx=np.array(xx)[np.newaxis]
In [141]: xx.shape
Out[141]: (1, 11)
In [142]:
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