Python中的 numpy.fmax()
numpy.fmax()
函数用于计算数组元素的元素最大值。此函数比较两个数组并返回一个包含元素最大值的新数组。
如果要比较的元素之一是 NaN,则返回非 nan 元素。如果两个元素都是 NaN,则返回第一个。
Syntax : numpy.fmax(arr1, arr2, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, ufunc ‘fmax’)
Parameters :
arr1 : [array_like] The array holding the elements to be compared.
arr2 : [array_like] The array holding the elements to be compared.
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.
**kwargs : Allows to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function.
where : [array_like, optional] True value means to calculate the universal functions(ufunc) at that position, False value means to leave the value in the output alone.
Return : [ndarray or scalar] The maximum of arr1 and arr2, element-wise. Returns scalar if both arr1 and arr2 are scalars.
代码#1:工作
# Python program explaining
# fmax() function
import numpy as geek
in_num1 = 10
in_num2 = 11
print ("Input number1 : ", in_num1)
print ("Input number2 : ", in_num2)
out_num = geek.fmax(in_num1, in_num2)
print ("maximum of 10 and 11 : ", out_num)
输出 :
Input number1 : 10
Input number2 : 11
maximum of 10 and 11 : 11
代码#2:
# Python program explaining
# fmax() function
import numpy as geek
in_arr1 = [2, 8, 125, geek.nan]
in_arr2 = [geek.nan, 3, 115, geek.nan]
print ("Input array1 : ", in_arr1)
print ("Input array2 : ", in_arr2)
out_arr = geek.fmax(in_arr1, in_arr2)
print ("Output array : ", out_arr)
输出 :
Input array1 : [2, 8, 125, nan]
Input array2 : [nan, 3, 115, nan]
Output array : [ 2. 8. 125. nan]
代码#3:
# Python program explaining
# fmax() function
import numpy as geek
in_arr1 = [2, 8, 125]
in_arr2 = [3, 3, 115]
print ("Input array1 : ", in_arr1)
print ("Input array2 : ", in_arr2)
out_arr = geek.fmax(in_arr1, in_arr2)
print ("Output array: ", out_arr)
输出 :
Input array1 : [2, 8, 125]
Input array2 : [3, 3, 115]
Output array: [ 3 8 125]