Python Numpy np.assert_array_almost_equal()

在np.assert_array_almost_equal()方法的帮助下，如果两个数组对象没有达到期望的精度值，我们可以通过使用np.assert_array_almost_equal()方法获得断言错误。

语法: np.assert_array_almost_equal(actual, desired, decimal)
返回：如果两个对象不相等，则返回断言错误。

例子#1 :
在这个例子中我们可以看到，通过使用np.assert_array_almost_equal()方法，如果两个数组对象不相等，我们能够通过该方法得到断言错误。

# import numpy and assert_array_almost_equal
import numpy as np
import numpy.testing as npt
  
# using np.assert_array_almost_equal() method
gfg = npt.assert_array_almost_equal([0.2222, 1.2222], [0.2222, 1.2222], decimal = 3)
  
print(gfg)

输出 :

None

例子#2 :

# import numpy and assert_array_almost_equal
import numpy as np
import numpy.testing as npt
  
# using np.assert_array_almost_equal() method
gfg = npt.assert_array_almost_equal([0.2322, 1.2622], [3.2222, 1.2222], decimal = 3)
  
print(gfg)

输出 :

AssertionError:
Arrays are not almost equal to 3 decimals

Mismatch: 100%
Max absolute difference: 2.99
Max relative difference: 0.92793743
x: array([0.232, 1.262])
y: array([3.222, 1.222])