saroele saroele - 1 year ago 130
Python Question

comparing numpy arrays containing NaN

For my unittest, I want to check if two arrays are identical. Reduced example:

a=np.array([1, 2, np.NaN])
b=np.array([1, 2, np.NaN])
if np.all(a==b):
print 'arrays are equal'

This does not work because nan != nan.
What is the best way to proceed?

Thanks in advance.

Answer Source

Alternatively you can use numpy.testing.assert_equal or numpy.testing.assert_array_equal with a try/except:

In : import numpy as np

In : def nan_equal(a,b):
...:     try:
...:         np.testing.assert_equal(a,b)
...:     except AssertionError:
...:         return False
...:     return True

In : a=np.array([1, 2, np.NaN])

In : b=np.array([1, 2, np.NaN])

In : nan_equal(a,b)
Out: True

In : a=np.array([1, 2, np.NaN])

In : b=np.array([3, 2, np.NaN])

In : nan_equal(a,b)
Out: False


Since you are using this for unittesting, bare assert (instead of wrapping it to get True/False) might be more natural.

Recommended from our users: Dynamic Network Monitoring from WhatsUp Gold from IPSwitch. Free Download