Hello,
I have an array of non-numeric data, and I want to create a boolean
array denoting whether each element in this array is a "valid" value
or not. This is straightforward if there's only one possible valid
value:
>>> import numpy as N
>>> ar = N.array(("a", "b", "c", "b", "b", "a", "d", "c", "a"))
>>> ar == "a"
array([ True, False, False, False, False, True, False, False, True],
dtype=bool)
If there's multiple possible valid values, I've come up with a couple
possible methods, but they all seem to be inefficient or kludges:
>>> valid = N.array(("a", "c"))
>>> (ar == valid[0]) | (ar == valid[1])
array([ True, False, True, False, False, True, False, True, True],
dtype=bool)
>>> N.array(map(lambda x: x in valid, ar))
array([ True, False, True, False, False, True, False, True, True],
dtype=bool)
Is there a numpy-appropriate way to do this?
Thanks,
Brett Olsen
_______________________________________________
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
