Python Numpy recarray.repeat()函数

在numpy中，数组可以有一个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是一对(int, float)。通常情况下，这些属性使用字典查询，如arr[‘a’] 和 arr[‘b’] 。记录数组允许字段作为数组的成员被访问，使用arr.a和arr.b。

numpy.recarray.repeat()函数用于重复记录数组的元素。

语法: numpy.recarray.repeat(repeats, axis=None)

参数:
repeats : [int or array of ints] 每个元素的重复次数。
axis : [int or None] 用于重复数值的轴。如果没有，数组在重复前会被压扁。

返回： [ndarray] 输出数组，其形状与记录数组相同，只是沿给定的轴线。

代码#1：

# Python program explaining
# numpy.recarray.repeat() 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.repeat methods
# to float record array along axis 1
out_arr = rec_arr.a.repeat(3, axis = 1)
print ("Output repeated float array along axis 1 : ", out_arr) 
  
# applying recarray.repeat methods
# to float record array along default axis 
out_arr = rec_arr.a.repeat(2)
print ("Output repeated float array along default axis : ", out_arr) 
  
# applying recarray.repeat methods
# to int record array along axis 0
out_arr = rec_arr.b.repeat(2, axis = 0)
print ("Output repeated int array along axis 0 : ", out_arr) 
  
# applying recarray.repeat methods
# to int record array along default
out_arr = rec_arr.b.repeat(2)
print ("Output repeated int 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 repeated float array along axis 1 : [[ 5. 5. 5. 3. 3. 3. 6. 6. 6.]
[ 9. 9. 9. 5. 5. 5. -12. -12. -12.]]
Output repeated float array along default axis : [ 5. 5. 3. 3. 6. 6. 9. 9. 5. 5. -12. -12.]
Output repeated int array along axis 0 : [[ 2 -4 9]
[ 2 -4 9]
[ 1 4 -7]
[ 1 4 -7]]
Output repeated int array along default axis : [ 2 2 -4 -4 9 9 1 1 4 4 -7 -7]

代码#2：

我们正在对整个记录数组应用numpy.recarray.repeat()。

# Python program explaining
# numpy.recarray.repeat() 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, -7)],
                     [(9.0, 1), (6.0, 4), (-2.0, -7)]],
                     dtype =[('a', float), ('b', int)])
  
print ("Input record array : ", in_arr)
  
# convert it to a record array, 
# using arr.view(np.recarray)
rec_arr = in_arr.view(geek.recarray)
  
# applying recarray.repeat methods to  record array
out_arr = rec_arr.repeat(3)
  
print ("Output repeated record array : ", out_arr)

输出:

Input record array : [[( 5., 2) ( 3., 4) ( 6., -7)]
[( 9., 1) ( 6., 4) (-2., -7)]]

Output repeated record array :
[( 5., 2) ( 5., 2) ( 5., 2) ( 3., 4) ( 3., 4) ( 3., 4) ( 6., -7)
( 6., -7) ( 6., -7) ( 9., 1) ( 9., 1) ( 9., 1) ( 6., 4) ( 6., 4)
( 6., 4) (-2., -7) (-2., -7) (-2., -7)]