f2py

I'm trying (and failing) to compile a fortran module (specifically igrf12.f from the BGS) using f2py and Python 3.6 on Windows 10. Python was installed using Anaconda 4.4.10. My setup: Python 3.6.3 |Anaconda custom (64-bit)| (default, Oct 15 2017, 03:27:45) [MSC v.1900 64 bit (AMD64)] on win32 Windows 10 Enterprise (version 1703) NumPy 1.14.0 I followed f2py directions from the SciPy documentation and a very helpful guide from Dr.Michael Hirsch. Dr.Hirsch has created the pyigrf12 module, but installation through pip failed for me, which is what initially sparked my interest in f2py. I will

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 were some command maybe make it working wrong,but now I don't have any idea. ... running build running

I am trying to use f2py to interface my python programs with my Fortran modules. I am on a Win7 platform. I use latest Anaconda 64 (1.7) as a Python+NumPy stack. My Fortran compiler is the latest Intel Fortran compiler 64 (version 14.0.0.103 Build 20130728). I have been experiencing a number of issues when executing f2py -c -m PyModule FortranModule.f90 --fcompiler=intelvem The last one, which I can't seem to sort out is that it looks like the sequence of flags f2py/distutils passes to the compiler does not match what ifort expects. I get a series of warning messages regarding unknown options

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.), exp(20.)]) The Fortran routine is: subroutine trapzdv(f,xs,nf,nxs,result) integer :: I double

I am playing around with f2py. I'm a bit confused about numpy intrinsic types vs. fortran 90 types. It seems like I can only use single precision reals in fortran 90, when interacting with python. Let me illustrate with an example: Say I have this fortran 90 module, test.f90, to be compiled with f2py and imported in python: module test implicit none integer, parameter :: sp = selected_real_kind(6,37) ! single precision integer, parameter :: dp = selected_real_kind(15,307) ! double precision real(sp) :: r_sp = 1.0 real(dp) :: r_dp = 1.0_dp end module and I compile like this: f2py -c -m test

I have tried, but am failing, to get a minimum working example. As I do not need to expose much of my fortran code to python, I don't need f2py to wrap large parts of it. Also, due to allocatable arrays being passed and derived types being used, I specifically want f2py to only wrap the interface module I created (in the following example 'main.f90'). But I am having problems to get the other modules which I compile separately to link to my main module. The Code: Note all source files are in a single directory. I have created a fortran module I want to compile (libtest.f90): module testmod