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Python | Numpy np.assert_array_equal() method

Last Updated : 23 Jan, 2020
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With the help of np.assert_array_equal() method, we can get the assertion error if two array like objects are not equal by using np.assert_array_equal() method.

Syntax : np.assert_array_equal(x, y)
Return : Return the assertion error if two objects are not equal.

Example #1 :
In this example we can see that by using np.assert_array_equal() method, we are able to get the assertion error if two error like objects are not equal by using this method.




# import numpy and assert_array_equal
import numpy as np
import numpy.testing as npt
  
# using np.assert_array_equal() method
gfg = npt.assert_array_equal([1.22, 0.22], [1.22, 0.22])
  
print(gfg)


Output :

None

Example #2 :




# import numpy and assert_array_equal
import numpy as np
import numpy.testing as npt
  
# using np.assert_array_equal() method
gfg = npt.assert_array_equal([1.22, 1.22], [2.22, 0.22])
  
print(gfg)


Output :

AssertionError:
Arrays are not equal

Mismatch: 100%
Max absolute difference: 1.
Max relative difference: 4.54545455
x: array([1.22, 1.22])
y: array([2.22, 0.22])


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