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(f1)
what's going on.
-n
On 9 Sep 2013 14:49, Chad Kidder cckid...@gmail.com 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 code that is giving me issues.
f1 = [[15.207, 15.266, 15.181
, 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
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Thanks, that works. It will be nice when the original way works also.
On Oct 16, 2013 10:28 AM, Sebastian Berg sebast...@sipsolutions.net
wrote:
On Wed, 2013-10-16 at 11:50 -0400, Benjamin Root wrote:
On Wed, Oct 16, 2013 at 11:39 AM, Chad Kidder cckid...@gmail.com
wrote
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
