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Interfacing Fortran code

Fortran is still a widely used programming language in scientific computing and it is actually well suited for numerically intensive applications. Utilising Fortran code from Python is one plausible way of speeding up Python applications.

Modern Fortran (since Fortran 2003) supports interoperability with C in a standard way, and one possible way to use Fortran code from Python is to provide a C interface in Fortran and then use CFFI or Cython. If one does not want to work on the Fortran code, it is possible to create a Python interface to Fortran also with the f2py tool.

The f2py is part of NumPy, and it is normally provided both as a command line tool as well as a Python module. We discuss here the command line tool.

Assume we have the following Fortran code that adds together two arrays (c = a + b):

subroutine add(a, b, c, n)

  implicit none

  ! f2py understands only limited number of kind parameters
  real(kind=8), intent(in) :: a(n)
  real(kind=8), intent(in) :: b(n)
  real(kind=8), intent(out) :: c(n)
  integer :: n

  c = a + b

end subroutine

We can create a Python interface to this subroutine as follows:

$ f2py3 -c add.f90 -m fortran_module

The -c flag instructs f2py to compile and build a Python extension module from file add.f90, and the name of the this module is designated with the -m flag. We can now import the module, and use the functions from Python:

import numpy as np
from fortran module import add

x = np.arange(10.)
y = np.arange(0.1, 10.1)
z = add(x, y)

As the arguments to the Fortran function were arrays, f2py generated an interface that automatically does the conversion between a NumPy array and a Fortran array. Also, the size argument n is automatically constructed from the size of the arrays. As the argument c in the Fortran code had the intent(out) attribute (meaning it is used only for output), the Python interface treats it as a return value.

More complex examples on how to use f2py can be found in the f2py user guide.

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This article is from the free online course:

Python in High Performance Computing

Partnership for Advanced Computing in Europe (PRACE)