Python中的 numpy.empty_like()
numpy.empty_like(a, dtype = None, order = 'K', subok = True) :返回一个与给定数组具有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 :
array with the same shape and type as a given array.
# 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]]
笔记 :
这些代码不会在在线 ID 上运行。请在您的系统上运行它们以探索工作。