Python中的 numpy.divide()
numpy.divide(arr1, arr2, out = None, where = True, cast = 'same_kind', order = 'K', dtype = None) :
第一个数组中的数组元素除以第二个元素中的元素(所有元素都发生在元素方面)。 arr1 和 arr2 必须具有相同的形状,并且 arr2 中的元素不能为零;否则会引发错误。
参数 :
arr1 : [array_like]Input array or object which works as dividend.
arr2 : [array_like]Input array or object which works as divisor.
out : [ndarray, optional]Output array with same dimensions as Input array,
placed with result.
**kwargs : allows you 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.
返回 :
An array with arr1/arr2(element-wise) as elements of output array.
代码 1:arr1 除以 arr2 元素
# Python program explaining
# divide() function
import numpy as np
# input_array
arr1 = [2, 27, 2, 21, 23]
arr2 = [2, 3, 4, 5, 6]
print ("arr1 : ", arr1)
print ("arr2 : ", arr2)
# output_array
out = np.divide(arr1, arr2)
print ("\nOutput array : \n", out)
输出 :
arr1 : [2, 27, 2, 21, 23]
arr2 : [2, 3, 4, 5, 6]
Output array :
[ 1. 9. 0.5 4.2 3.83333333]
代码 2 : arr1 的元素除以除数
# Python program explaining
# divide() function
import numpy as np
# input_array
arr1 = [2, 27, 2, 21, 23]
divisor = 3
print ("arr1 : ", arr1)
# output_array
out = np.divide(arr1, divisor)
print ("\nOutput array : \n", out)
输出 :
arr1 : [2, 27, 2, 21, 23]
Output array :
[ 0.66666667 9. 0.66666667 7. 7.66666667]
代码 3:如果 arr2 的元素 = 0,则发出警告
# Python program explaining
# divide() function
import numpy as np
# input_array
arr1 = [2, 27, 2, 21, 23]
arr2 = [2, 3, 0, 5, 6]
print ("arr1 : ", arr1)
print ("arr2 : ", arr2)
# output_array
out = np.divide(arr1, arr2)
print ("\nOutput array : ", out)
输出 :
arr1 : [2, 27, 2, 21, 23]
arr2 : [2, 3, 0, 5, 6]
Output array : [ 1. 9. inf 4.2 3.83333333]
RuntimeWarning: divide by zero encountered in true_divide
out = np.power(arr1, arr2)
参考 :
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.divide.html
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