f2py

问题 I am running an open-source package that has some codes in Python 3.7 mixed with Fortran FOR . I use Visual Studio 2019 and Intel Parallel Studio 2019 integrated.so when I run in Intel CMD f2py -c radial.for I got this error : radial.o : error LNK2001: unresolved external symbol lambda_ fatal error LNK1120: 8 unresolved externals error: Command...failed with exit status 1120 So what should I do.I tested that I have problem with Fortran Codes .Any help would be appreciated. my Intel CMD: There

问题 For reasons I described earlier, I need to use LAPACKs dgesvd and zgesvd methods in Python instead of the ones wrapped in numpy. Someone pointed out, that I could use f2py, to create my own python package. The trouble is, that, dgesdd in lapack calls a bunch of other methods like dbdsqr, dgelqf and also some BLAS routines, and I don't know, how I should proceed about that. Can anyone point out, what would be the propper way of creating a dgesvd python module without having to recompile the

问题 My aim is to print the 2nd string from a python numpy array in fortran, but I only ever get the first character printed, and it's not necessarily the right string either. Can anyone tell me what the correct way to pass full string arrays to fortran? The code is as follows: testpy.py import numpy as np import testa4 strvar = np.asarray(['aa','bb','cc'], dtype = np.dtype('a2')) testa4.testa4(strvar) testa4.f90 subroutine testa4(strvar) implicit none character(len=2), intent(in) :: strvar(3)

问题 My aim is to print the 2nd string from a python numpy array in fortran, but I only ever get the first character printed, and it's not necessarily the right string either. Can anyone tell me what the correct way to pass full string arrays to fortran? The code is as follows: testpy.py import numpy as np import testa4 strvar = np.asarray(['aa','bb','cc'], dtype = np.dtype('a2')) testa4.testa4(strvar) testa4.f90 subroutine testa4(strvar) implicit none character(len=2), intent(in) :: strvar(3)

问题 I could pass one-dimension array to python like below. and I wonder if I can pass c++ double pointer array to python by using ctypes, numpy. test.cpp: #include <stdio.h> extern "C" void cfun(const void * indatav, int rowcount, int colcount, void * outdatav); void cfun(const void * indatav, int rowcount, int colcount, void * outdatav) { //void cfun(const double * indata, int rowcount, int colcount, double * outdata) { const double * indata = (double *) indatav; double * outdata = (double *)

问题 In the following Python I have five functions contained in the array returned by func which I have to integrate. The code calls an external Fortran module generated using f2py : import numpy as np from numpy import cos, sin , exp from trapzdv import trapzdv def func(x): return np.array([x**2, x**3, cos(x), sin(x), exp(x)]) if __name__ == '__main__': xs = np.linspace(0.,20.,100) ans = trapzdv(func,xs,5) print 'from Fortran:', ans print 'exact:', np.array([20**3/3., 20**4/4., sin(20.), -cos(20.

问题 I recently wrote a time consuming program with python and decided to rewrite the most time consuming part with fortran. However, the fortran code, wrapped with f2py, is slower than python code, Can anyone tell me how to find what is happening here? For reference, here's the python function: def iterative_method(alpha0, beta0, epsilon0, epsilons0, omega, smearing=0.01, precision=0.01, max_step=20, flag=0): # alpha0, beta0, epsilon0, epsilons0 are numpy arrays m, n = np.shape(epsilon0) Omega =

问题 I am trying to install the SciPy package on Red Hat Enterprise Linux Server release 6.3. However, it is failing. The version of Python I am using is 2.6, however it seems to require 2.4. Is there another version of SciPy that is compatible with 2.6? If 2.4 is required, any suggestions on how to get that? I followed the directions on the python webpage but they seem to be out of date. It also requires f2py, which I am unsure of how to get. Any suggestions for easier installation? I had been

问题 I have written a fortran subroutine to by used in python via the f2py command. The subroutine takes a numpy ndarray of shape (7, 3, 3, 3). The array is an array of 7 cubes, of size 3x3x3. I also pass the integers 7 and 3 to the subroutine. Here is the code subroutine fit(n, m, a) c =================================================================== c ArrayTest.f c =================================================================== c n - number of cubes being passed c c m - edge of cube size c

问题 I am running some codes in python 2.7 with MIN-GW - gfortran of fortran77 codes and Visual Studio 2010 .I installed all requirements with pip , so when I do this: python setup.py install everything is successful . f2py -c f_utils.for Creates libf_utils.DLYOMDEGIW6SZRJNEZ2ZMRYPGQZ75ZH3.gfortran-win_amd64.dll in ..\untitled\.libs and untitled.pyd but As python spherical.py install Now I get this error: Traceback (most recent call last): File "spherical.py", line 4, in <module> import f_utils