Iterating over Numpy matrix rows to apply a function each

Question

I want to be able to iterate over the matrix to apply a function to each row  How can I do it for a Numpy matrix

User · Answer

While you should certainly provide more information  if you are trying to go through each row  you can just iterate with a for loop   import numpy m   numpy ones  3 5  dtype  int   for row in m    print str row

User · Answer

Use numpy apply along axis    Assuming your matrix is 2D  you can use like   import numpy as np mymatrix   np matrix   11 12 13                          21 22 23                          31 32 33    def myfunction  x        return sum x   print np apply along axis  myfunction  axis 1  arr mymatrix     36 66 96

User · Answer

Here s my take if you want to try using multiprocesses to process each row of numpy array    from multiprocessing import Pool import numpy as np  def my function x       pass       do something and return something  if   name         main             X   np arange 6  reshape  3 2       pool   Pool processes   4      results   pool map my function  map lambda x  x  X       pool close       pool join     pool map take in a function and an iterable  I used  map  function to create an iterator over each rows of the array  Maybe there s a better to create the iterable though

[python] Iterating over Numpy matrix rows to apply a function each?

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