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
Checking for an integer type does not work for floats that are integers, e.g. 4. Better solution is np.equal(np.mod(x, 1), 0), as in:
>>> import numpy as np
>>> def isinteger(x):
... return np.equal(np.mod(x, 1), 0)
...
>>> foo = np.array([0., 1.5, 1.])
>>> bar = np.array([-5, 1, 2, 3, -4, -2, 0, 1, 0, 0, -1, 1])
>>> isinteger(foo)
array([ True, False, True], dtype=bool)
>>> isinteger(bar)
array([ True, True, True, True, True, True, True, True, True,
True, True, True], dtype=bool)
>>> isinteger(1.5)
False
>>> isinteger(1.)
True
>>> isinteger(1)
True