關於：
numpy.not_equal(x1，x2 [，out])：檢查兩個元素是否相等。
參數：
x1, x2 : [array_like]Input Array whose elements we want to check
out : [ndarray, optional]Output array that returns True/False.
A placeholder the same shape as x1 to store the result.
返回：
Boolean array
代碼1：
# Python Program illustrating
# numpy.not_equal() method
import numpy as geek
a = geek.not_equal([1., 2.], [1., 3.])
print("Not equal : \n", a, "\n")
b = geek.not_equal([1, 2], [[1, 3],[1, 4]])
print("Not equal : \n", b, "\n")輸出：
Not equal : [False True] Not equal : [[False True] [False True]]
代碼2：
# Python Program illustrating
# numpy.not_equal() method
import numpy as geek
# Here we will compare Complex values with int
a = geek.array([0 + 1j, 2])
b = geek.array([1,2])
d = geek.not_equal(a, b)
print("Comparing complex with int using .not_equal() : ", d)輸出：
Comparing complex with int using .not_equal() : [ True False]
代碼3：
# Python Program illustrating
# numpy.not_equal() method
import numpy as geek
# Here we will compare Float with int values
a = geek.array([1.1, 1])
b = geek.array([1, 2])
d = geek.not_equal(a, b)
print("\nComparing float with int using .not_equal() : ", d)輸出：
Comparing float with int using .not_equal() : [ True True]
參考文獻：
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.not_equal.html
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