I know there is a simple solution to this but can\'t seem to find it at the moment.
Given a numpy array, I need to know if the array contains integers.
Checking
Numpy's issubdtype() function can be used as follows:
import numpy as np
size=(3,3)
A = np.random.randint(0, 255, size)
B = np.random.random(size)
print 'Array A:\n', A
print 'Integers:', np.issubdtype(A[0,0], int)
print 'Floats:', np.issubdtype(A[0,0], float)
print '\nArray B:\n', B
print 'Integers:', np.issubdtype(B[0,0], int)
print 'Floats:', np.issubdtype(B[0,0], float)
Results:
Array A:
[[ 9 224 33]
[210 117 83]
[206 139 60]]
Integers: True
Floats: False
Array B:
[[ 0.54221849 0.96021118 0.72322367]
[ 0.02207826 0.55162813 0.52167972]
[ 0.74106348 0.72457807 0.9705301 ]]
Integers: False
Floats: True
PS. Keep in mind that the elements of an array are always of the same datatype.