Python中的 numpy.subtract()
numpy.subtract()
函数用于计算两个数组的差异。它按元素返回 arr1 和 arr2 的差异。
Syntax : numpy.subtract(arr1, arr2, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj], ufunc ‘subtract’)
Parameters :
arr1 : [array_like or scalar]1st Input array.
arr2 : [array_like or scalar]2nd Input array.
dtype : The type of the returned array. By default, the dtype of arr is used.
out : [ndarray, optional] A location into which the result is stored.
-> If provided, it must have a shape that the inputs broadcast to.
-> If not provided or None, a freshly-allocated array is returned.
where : [array_like, optional] Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.
**kwargs : Allows to pass keyword variable length of argument to a function. Used when we want to handle named argument in a function.
Return : [ndarray or scalar] The difference of arr1 and arr2, element-wise. Returns a scalar if both arr1 and arr2 are scalars.
代码#1:
# Python program explaining
# numpy.subtract() function
import numpy as geek
in_num1 = 4
in_num2 = 6
print ("1st Input number : ", in_num1)
print ("2nd Input number : ", in_num2)
out_num = geek.subtract(in_num1, in_num2)
print ("Difference of two input number : ", out_num)
1st Input number : 4
2nd Input number : 6
Difference of two input number : -2
代码#2:
# Python program explaining
# numpy.subtract() function
import numpy as geek
in_arr1 = geek.array([[2, -4, 5], [-6, 2, 0]])
in_arr2 = geek.array([[0, -7, 5], [5, -2, 9]])
print ("1st Input array : ", in_arr1)
print ("2nd Input array : ", in_arr2)
out_arr = geek.subtract(in_arr1, in_arr2)
print ("Output array: ", out_arr)
1st Input array : [[ 2 -4 5]
[-6 2 0]]
2nd Input array : [[ 0 -7 5]
[ 5 -2 9]]
Output array: [[ 2 3 0]
[-11 4 -9]]