Hi Burlen,
SWIG will generate a file named for example foo_wrap.c, which will
contains a call to import_array() inserted by SWIG because of the
%init %{
import_array();
%}
in the SWIG script.
So in the file foo_wrap.c (which will be compiled to a Python module
_foo.so), you should be able to u
On Tue, 31 Jul 2012 14:48:24 -0600, "Bill Spotz" wrote:
> Use %inline %{ ... %} around your function. SWIG will add your function
> directly to the wrapper file as well as add a wrapper function for calling it
> from python.
>
> On Jul 31, 2012, at 2:04 PM, Davi
> >> 1- How do use "apply" for class functions %apply (bla) myobject::foo ?
> >%apply is specified on function/method arguments names and types
> > only,
> >never on function names. So if for example you use:
> >%apply (int* ARGOUT_ARRAY1, int DIM1) {(int* rangevec, int n)}
> >it will app
> > I'm looking at SWIG/numpy tutorials
> They are these tutorials:
> http://docs.scipy.org/doc/numpy/reference/swig.interface-file.html
> http://www.scipy.org/Cookbook/SWIG_NumPy_examples
Sorry, I've read "look for"...
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Hi,
> I'm looking at SWIG/numpy tutorials
They are these tutorials:
http://docs.scipy.org/doc/numpy/reference/swig.interface-file.html
http://www.scipy.org/Cookbook/SWIG_NumPy_examples
Reading numpy.i is also very instructive.
> 1- How do use "apply" for class functions %apply (bla) myobject::fo
> I've been working on setting up a new buildbot for NumPy. Unfortunately, I
> don't have much time to work on it, so it's slow going! Right now I am still
> at
> the stage of getting NumPy to pass all its tests on the machines I'm using as
> test slaves. After that, I plan to transfer existing
Excerpts from Travis Oliphant's message of mar. mai 01 01:39:26 +0200 2012:
> If you have particular reasons why we should choose a particular CI service,
> please speak up and let your voice be heard. There is still time to make a
> difference in what we are setting up.
Hi all,
What about b
Excerpts from Sameer Grover's message of ven. mars 09 20:50:06 +0100 2012:
> >>>import gtk
> >>>import foo # where foo is any f2py-wrapped program
>
> Subsequently, on exiting python interpreter, the interpreter crashes
> with this error message - "This application has requested the Runtime
> to t
Hi,
I think writing a Python script that convert your txt file to one netcdf file,
reading the txt file one line at a time, and then use the netcdf file normally
would be a good solution!
Best,
David
Excerpts from Chao YUE's message of mar. mars 20 13:33:56 +0100 2012:
> Dear all,
>
> I receiv
Excerpts from Xavier Barthelemy's message of mar. déc. 06 08:51:22 +0100 2011:
> ok let me be more precise
>
> I have an Z array which is the elevation
> from this I extract a discrete array of Zero Crossing, and another discrete
> array of Crests.
> len(crest) is different than len(Xzeros). I hav
Excerpts from Xavier Barthelemy's message of mar. déc. 06 06:53:09 +0100 2011:
> Hi everyone
>
> I was wondering if there is a more optimal way to write what follows:
> I am studying waves, so I have an array of wave crests positions, Xcrest
> and the positions of the ZeroCrossings, Xzeros.
>
> T
Thanks everybody for the different solutions proposed, I really appreciate.
What about this solution? So simple that I didn't think to it...
import numpy as np
from numpy import *
def f(arr):
return arr*2
a = array( [1,1,1] )
b = array( [2,2,2] )
c = array( [3,3,3] )
d = array( [4,4,4] )
Thank you Olivier and Robert for your replies!
Some remarks about the dictionnary solution:
from numpy import *
def f(arr):
return arr + 100.
arrs = {}
arrs['a'] = array( [1,1,1] )
arrs['b'] = array( [2,2,2] )
arrs['c'] = array( [3,3,3] )
arrs['d'] = array( [4,4,4] )
for key,value in arr
Hy everybody,
I'm wondering what is the (best) way to apply the same function to multiple
arrays.
For example, in the following code:
from numpy import *
def f(arr):
return arr*2
a = array( [1,1,1] )
b = array( [2,2,2] )
c = array( [3,3,3] )
d = array( [4,4,4] )
a = f(a)
b = f(b)
c = f(c
program write_txt
real(kind=8):: x
open(10,file='data.txt')
do i = 1,10
x = i*2.
write(10,fmt='(2(D12.3))') x,x**2
enddo
close(10)
end program write_txt
In [1]: def expDtofloat(s):
...: return float(s.replace('D','E'))
...:
In [2]: x,y =
loadtxt('data.txt',unpack=True,c
program write_txt
real(kind=8):: x
open(10,file='data.txt')
do i = 1,10
x = i*2.
write(10,fmt='(2(D12.3))') x,x**2
enddo
close(10)
end program write_txt
In [1]: x,y = loadtxt('data.txt',unpack=True)
---
ValueErr
Did you try loadtxt? I try to output something in the format 1.538D-06 with
Fortran in order to test reading it with loadtxt, but I always get
1.538E-06. Where does the 'D' come from?
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Hy all,
As a test case before writing something bigger, I'm trying to write a little
Fortran module to compute the average of a array in these 4 cases:
avg2d_float, avg2d_double
avg3d_float, avg3d_double
I want this module to be callable from both Fortran and Python, using f2py.
4 Fortran functi
>
> You're half wrong. FortranFile can read arrays written as above, but it
> sees them as a single real array. So, with the attached Fortran program::
>
> In [1]: from fortranfile import FortranFile
>
> In [2]: f = FortranFile('uxuyp.bin', endian='<') # Original bug was
> incorrect byte order
>
tc.. to propose something
convenient for people who have to read unformatted binary fortran file very
often.
2009/5/28 David Froger
> Sorry, I still don't understand how to use FortranFile ...
>
>
> The fortran code
>
>
> program writeArray
>
&g
ls
data_str = self.readRecord()
File
"/home/users/redone/file2/froger/travail/codes/lib/Tests/fortranread/fortranfile.py",
line 128, in readRecord
raise IOError('Could not read enough data')
IOError: Could not read enough dat
=> How to read the file 'uxuyp.bin&#
Thank you very much :-)
2009/5/28 Neil Martinsen-Burrell
> On 2009-05-28 09:32 , David Froger wrote:
>
>> Hy Neil Martinsen-Burrell,
>>
>> I'm trying the FortranFile class,
>> http://www.scipy.org/Cookbook/FortranIO/FortranFile
>>
>> It looks
Hy Neil Martinsen-Burrell,
I'm trying the FortranFile class,
http://www.scipy.org/Cookbook/FortranIO/FortranFile
It looks like there are some bug in the last revision (7):
* There are errors cause by lines 60,61,63 in
* There are indentation errors on lines 97 and 113.
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the last line was missing :
return arrays
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Thanks a lot Fransesc and Neil, yours messages really help me.
I'll look at these solutions attentively.
Here is what I write recently, but I begin to understand it's effectively
not portable...
def fread(fileObject,*arrayAttributs):
""" Reading in a binary (=unformatted) Fortran file
L
ok for f2py!
> Otherwise, you will have to figure out how your Fortran program writes the
>file. I.e. what padding, metainformation, etc. that are used. If you
>switch Fortran compiler, or even compiler version from the same vendor,
>you must start over again.
In my experience, I never had this k
Thank Sturla and Christopher,
yes, with the Fortran code :
!=
program makeArray
implicit none
integer,parameter:: nx=2,ny=5
real(4),dimension(nx,ny):: ux,uy,p
integer :: i,j
open(11,file='uxuyp.bin',form='unformatted')
do i = 1,nx
do j = 1,ny
ux(i,j)
ile
big endian?
I think it will be a good idea to put the Fortran writting-arrays code and
the Python reading-array script in the cookbook and maybe a page to help
people comming from Fortran to start with Python ?
Best,
David Froger
program makeArray
implicit none
integer,parameter:: nx=10,
Hello,
Here is a exemple of call-back use from Fortran to Python using f2py :
http://cens.ioc.ee/projects/f2py2e/usersguide/f2py_usersguide.pdf
But maybe you have already read it?
http://cens.ioc.ee/projects/f2py2e/usersguide/f2py_usersguide.pdf
2008/11/12 Dave Lang <[EMAIL PROTECTED]>
> He
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