Anyway, seems it is indeed a denormal issue, as adding a small (1e-10)
constant gives same speed for both timings.
With adding 1e-10 or clipping to 0 at 1e-150, I still get a slowdown of
about 30% compared with the random arrays. Any explanation for that?
Cheers,
Hagen
signature.asc
Denormal numbers are a tricky beast. You may have to change the clip
or the shift depending on the processor you have.
It's no wonder that processors and thus compilers have options to
round denormals to zero.
Matthieu
2010/9/11 Hagen Fürstenau ha...@zhuliguan.net:
Anyway, seems it is indeed a
Hello All,
i need to extract data from an array, that are inside a
rectangle area defined as :
N, S, E, W = 234560.94503118, 234482.56929822, 921336.53116178, 921185.3779625
the data are in a csv (comma delimited text file, with 3 columns X,Y,Z)
#X,Y,Z
3020081.5500,76.3100,0.0300
On Sat, Sep 11, 2010 at 7:45 AM, Massimo Di Stefano
massimodisa...@gmail.com wrote:
Hello All,
i need to extract data from an array, that are inside a
rectangle area defined as :
N, S, E, W = 234560.94503118, 234482.56929822, 921336.53116178, 921185.3779625
the data are in a csv (comma
That's awesome!
masked array are defintley what i need!
thanks to point my attention on it!
best regards,
Massimo.
Il giorno 11/set/2010, alle ore 16.19, Brett Olsen ha scritto:
On Sat, Sep 11, 2010 at 7:45 AM, Massimo Di Stefano
massimodisa...@gmail.com wrote:
Hello All,
i need to
On Friday, September 10, 2010 03:40:33 am Sebastian Haase wrote:
Hi Luis,
thanks for the announcement. How would you compare mahotas to scipy's
ndimage ? Are you using ndimage in mahotas at all ?
Hi Sebastian,
In general there is little overlap (there are 1 or 2 functions which are
Brett,
i tried a different way to solve the problem, using :
#
import os
fpath = '/Users/sasha/py/'
input_fp = open( os.path.join(fpath, 'BE3730072600WC20050817.txt'), 'r' )
input_file = input_fp.readlines()
N = 234560.94503118
S = 234482.56929822
E = 921336.53116178
W =
On Sep 11, 2010, at 9:53 PM, Massimo Di Stefano wrote:
have you hints on how to get working the MASK code ?
as it is now it pick all the points in the mydata array.
Brett's code for the mask matched the loop of your post. However, taking a
second look at it, I don't see why it would work.
Thanks Pierre,
i tried it and all works fine and fast.
my apologize :-(
i used a wrong if statment to represent my needs
if mydata[i,0] E or mydata[i,0] W or mydata[i,1] N or mydata[i,1] S :
^^ totally wrong for my needs^^
this if instead :
if W mydata[i,0] E and S mydata[i,1] N:
P
Sent via BlackBerry from T-Mobile
-Original Message-
From: Charles R Harris charlesr.har...@gmail.com
Sender: numpy-discussion-boun...@scipy.org
Date: Thu, 19 Aug 2010 18:03:29
To: Discussion of Numerical Pythonnumpy-discussion@scipy.org
Reply-To: Discussion of Numerical Python
On Sat, Sep 11, 2010 at 4:46 PM, Massimo Di Stefano
massimodisa...@gmail.com wrote:
Thanks Pierre,
i tried it and all works fine and fast.
my apologize :-(
i used a wrong if statment to represent my needs
if mydata[i,0] E or mydata[i,0] W or mydata[i,1] N or mydata[i,1] S :
^^
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