Hi,
I am pleased to announce the release of the first beta for numpy
1.3.0. You can find source tarballs and installers for both Mac OS X
and Windows on the sourceforge page:
https://sourceforge.net/projects/numpy/
The release note for the 1.3.0 release are below,
The Numpy developers
>> import numpy as np
>> arr1 = np.array(['a','b','c'])
>> arr2 = np.array(['d','e','f'])
>>
>> I would like to produce a third array that would contain
>> ['ad','be','cf']. Is there an efficient way to do this? I could do
>> this element by element, but I need a faster method, as I need to do
>> t
A Wednesday 18 March 2009, Sturla Molden escrigué:
> On 3/18/2009 7:30 PM, Thomas Robitaille wrote:
> > import numpy as np
> > arr1 = np.array(['a','b','c'])
> > arr2 = np.array(['d','e','f'])
> >
> > I would like to produce a third array that would contain
> > ['ad','be','cf']. Is there an efficie
On 3/18/2009 7:30 PM, Thomas Robitaille wrote:
> import numpy as np
> arr1 = np.array(['a','b','c'])
> arr2 = np.array(['d','e','f'])
>
> I would like to produce a third array that would contain
> ['ad','be','cf']. Is there an efficient way to do this? I could do
> this element by element, bu
Hello,
I am trying to find an efficient way to concatenate the elements of
two same-length numpy str arrays. For example if I define the
following arrays:
import numpy as np
arr1 = np.array(['a','b','c'])
arr2 = np.array(['d','e','f'])
I would like to produce a third array that would contain
2009/3/17 Pauli Virtanen :
> Ok, it seems like this the issue with no updates is now sorted out:
>
> http://buildbot.scipy.org/waterfall?show_events=false
>
> and the buildbot gets the changes OK. Now only the SVN url needs fixing...
Oops, should be fixed now. How frequently is your Linux
