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)
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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)
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Output :
AssertionError:
Arrays are not equalMismatch: 100%
Max absolute difference: 1.
Max relative difference: 4.54545455
x: array([1.22, 1.22])
y: array([2.22, 0.22])