numpy recarray.conjugate()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.conjugate()函数通过共轭数组中的复数返回一个数组。

Syntax : numpy.recarray.conjugate(out=None)

Parameters:

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.

Return : Output array with same dimensions as Input array, placed with result.

代码#1：

# Python program explaining
# numpy.recarray.conjugate() method 
  
# importing numpy as geek
import numpy as geek
  
# creating input array 
in_arr = geek.array([[(4.0 + 1j, 1 + 3j), (5.0, 5-1j),
                      (8.0-6j, 9)], [(9.0, 1), 
                     (7.0 + 1j, 3-1j), (-2.0 + 6j, -7 + 3j)]],
                     dtype =[('a', complex), ('b', complex)])
  
print ("Input array : ", in_arr)
  
# convert it to a record array, using arr.view(np.recarray)
rec_arr = in_arr.view(geek.recarray)
  
# 1st record array
print("1st Record array of complex : ", rec_arr.a)
# applying recarray.conjugate methods to 1st record array
out_arr = (rec_arr.a).conjugate()
print ("Output 1st conjugated array : ", out_arr) 
  
# 2nd record array
rec_arr = rec_arr.b
print("2nd Record array of complex : ", rec_arr)
  
# applying recarray.conjugate methods to 2nd record array
out_arr = rec_arr.conjugate()
print ("Output 2nd conjugated array : ", out_arr) 

输出：

Input array :  [[( 4.+1.j,  1.+3.j) ( 5.+0.j,  5.-1.j) ( 8.-6.j,  9.+0.j)]
 [( 9.+0.j,  1.+0.j) ( 7.+1.j,  3.-1.j) (-2.+6.j, -7.+3.j)]]
1st Record array of complex :  [[ 4.+1.j  5.+0.j  8.-6.j]
 [ 9.+0.j  7.+1.j -2.+6.j]]
Output 1st conjugated array :  [[ 4.-1.j  5.-0.j  8.+6.j]
 [ 9.-0.j  7.-1.j -2.-6.j]]
2nd Record array of complex :  [[ 1.+3.j  5.-1.j  9.+0.j]
 [ 1.+0.j  3.-1.j -7.+3.j]]
Output 2nd conjugated array :  [[ 1.-3.j  5.+1.j  9.-0.j]
 [ 1.-0.j  3.+1.j -7.-3.j]]