numpy.empty_like()

Python numpy.empty_like(a, dtype =None，order = ' K '， subok = True):返回一个与给定数组相同形状和类型的新数组。

参数:

shape : Number of rows
order : C_contiguous or F_contiguous
dtype : [optional, float(by Default)] Data type of returned array.  
subok : [bool, optional] to make subclass of a or not

返回值: 形状和类型与给定数组相同的数组。

示例1

# Python Program illustrating
# numpy.empty_like method
  
import numpy as geek
  
a = geek.empty_like([2, 2], dtype = int)
print("\nMatrix a : \n", a)
  
c = a = ([1,2,3], [4,5,6])
print("\nMatrix c : \n", geek.empty_like(c))

输出:

Matrix a : 
 [  16843008 1058682594]

Matrix c : 
 [[0 0 0]
 [0 0 0]]