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

Syntax : numpy.recarray.conj(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.conj() method 
  
# importing numpy as geek
import numpy as geek
  
# creating input array 
in_arr = geek.array([[(5.0 + 2j, 2 + 1j), (3.0, -4 + 6j),
                      (6.0-5j, 9)], [(9.0, 1), (5.0 + 1j, 4-1j),
                      (-12.0 + 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.conj methods to 1st record array
out_arr = (rec_arr.a).conj()
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.conj methods to 2nd record array
out_arr = rec_arr.conj()
print ("Output 2nd conjugated array : ", out_arr) 

输出：

Input array :  [[(  5.+2.j,  2.+1.j) (  3.+0.j, -4.+6.j) (  6.-5.j,  9.+0.j)]
 [(  9.+0.j,  1.+0.j) (  5.+1.j,  4.-1.j) (-12.+6.j, -7.+3.j)]]
1st Record array of complex :  [[  5.+2.j   3.+0.j   6.-5.j]
 [  9.+0.j   5.+1.j -12.+6.j]]
Output 1st conjugated array :  [[  5.-2.j   3.-0.j   6.+5.j]
 [  9.-0.j   5.-1.j -12.-6.j]]
2nd Record array of complex :  [[ 2.+1.j -4.+6.j  9.+0.j]
 [ 1.+0.j  4.-1.j -7.+3.j]]
Output 2nd conjugated array :  [[ 2.-1.j -4.-6.j  9.-0.j]
 [ 1.-0.j  4.+1.j -7.-3.j]]