Dear sir,
How can we fill a particular value in the place of number satisfying
certain condition by another number in an array.
Example:
A=[[[ 9.42233087e-42 - 4.71116544e-42 0.e+00 ...,
1.48303127e+01
1.31524124e+01 1.14745111e+01]
[ 3.91788793e+00 1.95894396e+00
Hey Everybody,
I noticed that the c-api docs (2.0.dev-72ab385) lack a clear statement
what the preferred entry point into the c-api is (from a users point of
view). Normally I would expect a sentence or two stating that the api
entry point is arrayobject.h (or whatever).
Instead the docs ponder
Dear Dileep,
the numpy.where function returns the elements from A or 0 depending if
the condition in the first argument is satisfied:
B = np.where(A = 0, A, 0)
Miguel
On Mon, Aug 01, 2011 at 03:01:13PM +0530, dileep kunjaai wrote:
Dear sir,
How can we fill a particular value in the place
Le lundi 01 août 2011 à 15:01 +0530, dileep kunjaai a écrit :
Dear sir,
How can we fill a particular value in the place of number satisfying
certain condition by another number in an array.
A contain some negative value i want to change the negative numbers to
'0'. I used 'masked_where',
Depends where it is contained but another option is and I find it to
typically be faster:
B = zeros(A.shape)
maximum(A,B,A)
On 08/01/2011 07:31 PM, dileep kunjaai wrote:
Dear sir,
How can we fill a particular value in the place of number
satisfying certain condition by another number in
This method is probably simpler:
In [1]: import numpy as N
In [2]: A = N.random.random_integers(-10, 10, 25).reshape((5, 5))
In [3]: A
Out[3]:
array([[ -5, 9, 1, 9, -2],
[ -8, 0, 9, 7, -10],
[ 2, -3, -1, 5, -7],
[ 0, -2, -2, 9, 1],
[ -7,
Hi
On Mon, Aug 1, 2011 at 3:14 PM, Jeffrey Spencer jeffspenc...@gmail.comwrote:
Depends where it is contained but another option is and I find it to
typically be faster:
B = zeros(A.shape)
maximum(A,B,A)
Since maximum(.) can handle broadcasting
maximum(A, 0, A)
will be even faster.
-eat
I personally use pickle, which does exactly what you are asking for (and can
be customized with __getstate__ and __setstate__ if needed). What are your
issues with pickle?
-=- Olivier
2011/7/31 Brian Blais bbl...@bryant.edu
Hello,
I was wondering if there are any recommendations for formats
On 7/31/11 5:48 AM, Brian Blais wrote:
I was wondering if there are any recommendations for formats for saving
scientific data.
every field has it's own standards -- I'd try to find one that is likely
to be used by folks that may care about your results.
For Oceanographic and Atmospheric
In astronomy we tend to use FITS, which is well-supported by pyfits,
but a little limited. Some new instruments are beginning to use HDF5.
All these generic formats allow very general data storage, so you will
need to come up with a standrdized way to represent your own data.
Used well, these
2011/8/1 Timo Kluck tkl...@infty.nl
2011/7/30 Eric Firing efir...@hawaii.edu
Maybe the thing to do is to pre-calculate if len(xp) = len(x), or some
such guess as to which method would be more efficient.
What you're suggesting is reasonable. The cutoff at len(xp) = len(x) can
distinguish
Is there a limit to the number of fields a numpy recarray can have? I was
getting a strange error about a duplicate column name, but it wasn't a
duplicate.
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
Hello,
I have a function that I fitting to a curve via scipy.optimize.leastsq. The
function has 4 parameters and this is all working fine.
For a site, I have a number of curves (n=10 in the example below). I would
like to some of the parameters to be the best fit across all curves (best fit
13 matches
Mail list logo
