I am trying out masked arrays for the first time and having some
problems. I have a 2-D image as dtype=numpy.int16
I create a mask of all False to not mask out any pixels.
I calculate the mean of the image original image and it comes out ~597.
I calculate the mean of the masked array and it
On Sat, Apr 10, 2010 at 3:49 AM, Lane Brooks l...@brooks.nu wrote:
I am trying out masked arrays for the first time and having some
problems. I have a 2-D image as dtype=numpy.int16
I create a mask of all False to not mask out any pixels.
I calculate the mean of the image original image and
Kurt Smith wrote:
On Fri, Apr 9, 2010 at 2:25 AM, David da...@silveregg.co.jp wrote:
On 04/07/2010 11:52 AM, Kurt Smith wrote:
Briefly, I'm encountering difficulties getting things working in numpy
distutils for fwrap's build system.
Here are the steps I want the build system to accomplish:
Hi,
I've been mulling over a couple of ideas for new ufunc methods plus a
couple of numpy functions that I think will help implement group-by
operations with NumPy arrays.
I wanted to discuss them on this list before putting forward an actual
proposal or patch to get input from others.
la, 2010-04-10 kello 12:23 -0500, Travis Oliphant kirjoitti:
[clip]
Here are my suggested additions to NumPy:
ufunc methods:
[clip]
* reducein (array, indices, axis=0)
similar to reduce-at, but the indices provide both the
start and end points (rather than being
On Sat, Apr 10, 2010 at 1:23 PM, Travis Oliphant oliph...@enthought.com wrote:
Hi,
I've been mulling over a couple of ideas for new ufunc methods plus a
couple of numpy functions that I think will help implement group-by
operations with NumPy arrays.
I wanted to discuss them on this list
On 10 April 2010 19:45, Pauli Virtanen p...@iki.fi wrote:
Another addition to ufuncs that should be though about is specifying the
Python-side interface to generalized ufuncs.
This is an interesting idea; what do you have in mind?
Regards
Stéfan
___
There is too much out there which is making me confuse, I want to install
Numpy and Scipy on cygwinCan some body give me steps...There is
different version
of Numpy ...which one i need to download.and how to check it after
installing..
I already have cygwin full version on my pc...
On Sat, Apr 10, 2010 at 12:45, Pauli Virtanen p...@iki.fi wrote:
la, 2010-04-10 kello 12:23 -0500, Travis Oliphant kirjoitti:
[clip]
Here are my suggested additions to NumPy:
ufunc methods:
[clip]
* reducein (array, indices, axis=0)
similar to reduce-at, but the indices
Hello,
Is there a simpler way to get c from a
I[1]: a = np.arange(10)
I[2]: b = a[3:]
I[3]: b
O[3]: array([3, 4, 5, 6, 7, 8, 9])
I[4]: c = np.insert(b, [7]*3, 0)
O[5]: array([3, 4, 5, 6, 7, 8, 9, 0, 0, 0])
a and c have to be same in length and the left shift must be balanced with
equal
On Sat, Apr 10, 2010 at 5:17 PM, Gökhan Sever gokhanse...@gmail.com wrote:
Hello,
Is there a simpler way to get c from a
I[1]: a = np.arange(10)
I[2]: b = a[3:]
I[3]: b
O[3]: array([3, 4, 5, 6, 7, 8, 9])
I[4]: c = np.insert(b, [7]*3, 0)
O[5]: array([3, 4, 5, 6, 7, 8, 9, 0, 0, 0])
a
On Sat, Apr 10, 2010 at 6:17 PM, Gökhan Sever gokhanse...@gmail.com wrote:
Hello,
Is there a simpler way to get c from a
I[1]: a = np.arange(10)
I[2]: b = a[3:]
I[3]: b
O[3]: array([3, 4, 5, 6, 7, 8, 9])
I[4]: c = np.insert(b, [7]*3, 0)
O[5]: array([3, 4, 5, 6, 7, 8, 9, 0, 0, 0])
a
On Sat, Apr 10, 2010 at 7:31 PM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Sat, Apr 10, 2010 at 6:17 PM, Gökhan Sever gokhanse...@gmail.comwrote:
Hello,
Is there a simpler way to get c from a
I[1]: a = np.arange(10)
I[2]: b = a[3:]
I[3]: b
O[3]: array([3, 4, 5, 6, 7, 8,
On Sat, Apr 10, 2010 at 9:53 AM, Dag Sverre Seljebotn
da...@student.matnat.uio.no wrote:
Kurt Smith wrote:
On Fri, Apr 9, 2010 at 2:25 AM, David da...@silveregg.co.jp wrote:
On 04/07/2010 11:52 AM, Kurt Smith wrote:
Fortran's .mod files are essentially compiler-generated header files;
fwrap
On Apr 10, 2010, at 5:17 AM, josef.p...@gmail.com wrote:
On Sat, Apr 10, 2010 at 3:49 AM, Lane Brooks l...@brooks.nu wrote:
I am trying out masked arrays for the first time and having some
problems. I have a 2-D image as dtype=numpy.int16
I create a mask of all False to not mask out any
On Sun, Apr 11, 2010 at 1:00 AM, Lane Brooks l...@brooks.nu wrote:
On Apr 10, 2010, at 5:17 AM, josef.p...@gmail.com wrote:
On Sat, Apr 10, 2010 at 3:49 AM, Lane Brooks l...@brooks.nu wrote:
I am trying out masked arrays for the first time and having some
problems. I have a 2-D image as
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