Thanks Daran,
that works like a charm!
Hanno
On Tue, Dec 16, 2008, Daran Rife dr...@ucar.edu said:
Whoops! A hasty cut-and-paste from my IDLE session.
This should read:
import numpy as np
a = [(x0,y0), (x1,y1), ...] # A numpy array, but could be a list
l = a.tolist()
l.sort()
On 12/16/2008 1:29 AM Jarrod Millman apparently wrote:
Yes. Please don't start new moin wiki documentation. We have a good
solution for documentation that didn't exist when the moin
documentation was started. Either put new docs in the docstrings or
in the scipy tutorial.
OK, in this case
There was an discussion about this on the c.l.p a while ago. Using a sort
will scale like O(n log n) or worse, whereas using a set (hash table) will
scale like amortized O(n). How to use a Python set to get a unique
collection of objects I'll leave to your imagination.
Sturla Molden
On Mon,
Hi,
I just noticed the following and I was kind of surprised:
a = ma.MaskedArray([1,2,3,4,5], mask=[False,True,True,False,False])
b = a*5
b
masked_array(data = [5 -- -- 20 25],
mask = [False True True False False],
fill_value=99)
b.data
array([ 5, 10, 15, 20, 25])
I
Hi,
I found this earlier dialog about refactoring umathmodule.c (see
bottom) where David mentioned it wasn't tested on 64-bit Windows.
I tried compiling numpy 1.3.0.dev6118 on both a 32-bit and 64-bit
Windows for Python 2.6.1 with VS 9.0, and not surprisingly, it worked
on 32-bit but not on
Pierre GM wrote:
All,
Here's the latest version of genloadtxt, with some recent corrections.
With just a couple of tweaking, we end up with some decent speed: it's
still slower than np.loadtxt, but only 15% so according to the test at
the end of the package.
I have one more use issue that
Ryan,
OK, I'll look into that. I won't have time to address it before this
next week, however. Option #2 looks like the best.
In other news, I was considering renaming genloadtxt to genfromtxt,
and using ndfromtxt, mafromtxt, recfromtxt, recfromcsv for the
function names. That way, loadtxt
On Dec 16, 2008, at 1:57 PM, Ryan May wrote:
I just noticed the following and I was kind of surprised:
a = ma.MaskedArray([1,2,3,4,5], mask=[False,True,True,False,False])
b = a*5
b
masked_array(data = [5 -- -- 20 25],
mask = [False True True False False],
fill_value=99)
On Wed, Dec 17, 2008 at 5:09 AM, Lin Shao s...@msg.ucsf.edu wrote:
Hi,
I found this earlier dialog about refactoring umathmodule.c (see
bottom) where David mentioned it wasn't tested on 64-bit Windows.
I tried compiling numpy 1.3.0.dev6118 on both a 32-bit and 64-bit
Windows for Python
Hi,
There have been some changes recently in the umath code, which
breaks windows 64 compilation - and I don't understand their rationale
either. I have myself spent quite a good deal of time to make sure this
works on many platforms/toolchains, by fixing the config distutils
command and
On Tue, Dec 16, 2008 at 8:59 PM, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
Hi,
There have been some changes recently in the umath code, which
breaks windows 64 compilation - and I don't understand their rationale
either. I have myself spent quite a good deal of time to make
Charles R Harris wrote:
On Tue, Dec 16, 2008 at 8:59 PM, David Cournapeau
da...@ar.media.kyoto-u.ac.jp mailto:da...@ar.media.kyoto-u.ac.jp
wrote:
Hi,
There have been some changes recently in the umath code, which
breaks windows 64 compilation - and I don't understand their
12 matches
Mail list logo
