Python中的 numpy.ascontiguousarray()

numpy.ascontiguousarray()函数用于在内存中返回一个连续数组（C 顺序）。

Syntax : numpy.ascontiguousarray(arr, dtype=None)

Parameters :
arr : [array_like] Input data, in any form that can be converted to an array. This includes scalars, lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays.
dtype : [str or dtype object, optional] Data-type of returned array.

Return : ndarray Contiguous array of same shape and content as arr, with type dtype if specified.

代码 #1：列表到数组

# Python program explaining
# numpy.ascontiguousarray() function
  
import numpy as geek
my_list = [100, 200, 300, 400, 500]
  
print ("Input  list : ", my_list)
   
    
out_arr = geek.ascontiguousarray(my_list, dtype = geek.float32)
print ("output array from input list : ", out_arr) 

输出 ：

Input  list :  [100, 200, 300, 400, 500]
output array from input list :  [ 100.  200.  300.  400.  500.]

代码#2：元组到数组

# Python program explaining
# numpy.ascontiguousarray() function
  
import numpy as geek
  
my_tuple = ([2, 6, 10], [8, 12, 16])
   
print ("Input  tuple : ", my_tuple)
    
out_arr = geek.ascontiguousarray(my_tuple, dtype = geek.int32) 
print ("output array from input tuple : ", out_arr) 

输出 ：

Input  tuple :  ([2, 6, 10], [8, 12, 16])
output array from input tuple :  [[ 2  6 10]
 [ 8 12 16]]

代码#3：标量到数组

# Python program explaining
# numpy.ascontiguousarray() function
  
import numpy as geek
  
my_scalar = 100
   
print ("Input  scalar : ", my_scalar)
    
out_arr = geek.ascontiguousarray(my_scalar, dtype = geek.float32) 
print ("output array from input scalar : ", out_arr) 
print(type(out_arr))

输出 ：

Input  scalar :  100
output array from input scalar :  [ 100.]
class 'numpy.ndarray'