So I have this list of Numpy arrays:
import numpy as np
from numpy import array
m = [array([0, 64]), array([ 0, 79]), array([0, 165]), array([0, 50])]
How do I index the number 50 from the m[3] element in the array?
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@ojy Wow I didn't think that would work. That was too simple it slipped my mind. Thanks!SalmaFG– SalmaFG2014-08-04 23:55:57 +00:00Commented Aug 4, 2014 at 23:55
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It would probably make more sense for these to be a 2D array, rather than a list of 1D arrays. You might want to have a read of this.ali_m– ali_m2014-08-04 23:56:54 +00:00Commented Aug 4, 2014 at 23:56
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2 Answers
As already mentioned in the other comments, if your intention is to use a 2D-array, you should create it as:
m = array([[0, 64], [0, 79], [0, 165], [0, 50]])
and then access the elements like:
print(m[3, 1])
answered Aug 10, 2014 at 15:37
Saullo G. P. Castro
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Turns out it is actually accessed like normal python lists:
m[3][1]
1 Comment
ali_m
For a proper multidimensional array (rather than just a list of 1D arrays as in your example), this sort of 'chained' indexing will still work, but it's generally faster and easier to use a tuple of indices inside the square brackets. See the docs here for more info on indexing multidimensional arrays.