Thanks, that works. It will be nice when the original way works also.
On Oct 16, 2013 10:28 AM, "Sebastian Berg"
wrote:
> On Wed, 2013-10-16 at 11:50 -0400, Benjamin Root wrote:
> >
> >
> >
> > On Wed, Oct 16, 2013 at 11:39 AM, Chad Kidder
> > wrote:
True, True, True, True, True, True,
...
True, True, True], dtype=bool)
using a mask should not change the order of the dimensions. Is there a
reason for this behavior, and if so, how do I avoid it in the future?
Thanks
--Chad Kidder
___
NumPy
that's what's going on.
>
> -n
> On 9 Sep 2013 14:49, "Chad Kidder" wrote:
>
>> I'm trying to enter a 2-D array and np.array() is returning a 1-D array
>> of lists. I'm using Python (x,y) on Windows 7 with numpy 1.7.1. Here's
>> the
I'm trying to enter a 2-D array and np.array() is returning a 1-D array of
lists. I'm using Python (x,y) on Windows 7 with numpy 1.7.1. Here's the
code that is giving me issues.
>>> f1 = [[15.207, 15.266, 15.181, 15.189, 15.215, 15.198], [-45, -57, -62,
-70, -72, -73.5, -77]]
>>> f1a = np.array(
Growing an array by appending it is the slow way in matlab. The
suggested way to do things there is preallocate the array by saying
x=zeros() and then referencing the elements in the array and
inserting the correct value.
--Chad Kidder
On Oct 17, 2007, at 7:16 AM, mark wrote:
So
