numpy recarray.prod()函数| Python

在 numpy 中，数组可能具有包含字段的数据类型，类似于电子表格中的列。一个例子是[(a, int), (b, float)] ，其中数组中的每个条目都是一对 (int, float)。通常，使用诸如arr['a'] and arr['b']类的字典查找来访问这些属性。

记录数组允许使用arr.a and arr.b作为数组成员访问字段。 numpy.recarray.prod()函数返回给定轴上数组元素的乘积。

Syntax : numpy.recarray.prod(axis=None, dtype=None, out=None, keepdims=False)

Parameters:
axis : [None or int or tuple of ints, optional]Axis or axes along which a product is performed. The default, axis=None, will calculate the product of all the elements in the input array. If axis is negative it counts from the last to the first axis.
dtype : [dtype, optional] The type of the returned array.
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.
keepdims : [ bool, optional] If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the input array.

Return : [ndarray] The product of the array elements over the given axis.

代码#1：

# Python program explaining
# numpy.recarray.prod() method 
  
# importing numpy as geek
import numpy as geek
  
# creating input array with 2 different field 
in_arr = geek.array([[(5.0, 2), (3.0, -4), (6.0, 9)],
                     [(9.0, 1), (5.0, 4), (-12.0, -7)]],
                     dtype =[('a', float), ('b', int)])
print ("Input array : ", in_arr)
  
# convert it to a record array,
# using arr.view(np.recarray)
rec_arr = in_arr.view(geek.recarray)
print("Record array of float: ", rec_arr.a)
print("Record array of int: ", rec_arr.b)
  
# applying recarray.prod methods
# to float record array along axis 1
out_arr = rec_arr.a.prod( axis = 1)
print ("Output product array of float along axis 1: ", out_arr) 
  
# applying recarray.prod methods
# to float record array along axis 0
out_arr = rec_arr.a.prod( axis = 0)
print ("Output product array of float along axis 0: ", out_arr) 
  
# applying recarray.prod methods
# to float record array along -1 axis 
out_arr = rec_arr.a.prod( axis = -1)
print ("Output product array of float along -1 axis : ", out_arr) 
  
  
# applying recarray.prod methods 
# to int record array along default axis value
out_arr = rec_arr.b.prod()
print ("Output product of int array elements array along default axis: ", out_arr) 

输出：

Input array :  [[(  5.,  2) (  3., -4) (  6.,  9)]
 [(  9.,  1) (  5.,  4) (-12., -7)]]
Record array of float:  [[  5.   3.   6.]
 [  9.   5. -12.]]
Record array of int:  [[ 2 -4  9]
 [ 1  4 -7]]
Output product array of float along axis 1:  [  90. -540.]
Output product array of float along axis 0:  [ 45.  15. -72.]
Output product array of float along -1 axis :  [  90. -540.]
Output product of int array elements array along default axis:  2016