Python numpy: Convert string in to numpy array

You have to split the string by its commas first:

NP.array(v1fColor.split(","), dtype=NP.uint8)

You can do this without using python string methods -- try numpy.fromstring:

>>> numpy.fromstring(v1fColor, dtype='uint8', sep=',')array([ 2,  4, 14,  5,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0, 12,  4,  0,        0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0, 15,  6,  0,  0,        0,  0,  1,  0,  0,  0,  0,  0,  0,  0,  0,  0, 20,  9,  0,  0,  0,        2,  2,  0,  0,  0,  0,  0,  0,  0,  0,  0, 13,  6,  0,  0,  0,  1,        0,  0,  0,  0,  0,  0,  0,  0,  0,  0, 10,  8,  0,  0,  0,  1,  2,        0,  0,  0,  0,  0,  0,  0,  0,  0, 17, 17,  0,  0,  0,  3,  6,  0,        0,  0,  0,  0,  0,  0,  0,  0,  7,  5,  0,  0,  0,  2,  0,  0,  0,        0,  0,  0,  0,  0,  0,  0,  4,  3,  0,  0,  0,  1,  1,  0,  0,  0,        0,  0,  0,  0,  0,  0,  6,  6,  0,  0,  0,  2,  3], dtype=uint8)

You can do this:

lst = v1fColor.split(',')  #create a list of strings, splitting on the commas.v1fColor = NP.array( lst, dtype=NP.uint8 ) #numpy converts the strings.  Nifty!

or more concisely:

v1fColor = NP.array( v1fColor.split(','), dtype=NP.uint8 )

Note that it is a little more customary to do:

import numpy as np

compared to import numpy as NP

EDIT

Just today I learned about the function numpy.fromstring which could also be used to solve this problem:

NP.fromstring( "1,2,3" , sep="," , dtype=NP.uint8 )