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Python 中的 numpy.zeros _ like()

原文:https://www.geeksforgeeks.org/numpy-zeros_like-python/

这个 numpy 方法返回一个给定形状和类型的数组作为给定数组，并带有零。

Syntax: numpy.zeros_like(array, dtype = None, order = 'K', subok = True)

参数:

array : array_like input
subok  : [optional, boolean]If true, then newly created array will be sub-class of array; 
                 otherwise, a base-class array
order  : C_contiguous or F_contiguous
         C-contiguous order in memory(last index varies the fastest)
         C order means that operating row-rise on the array will be slightly quicker
         FORTRAN-contiguous order in memory (first index varies the fastest).
         F order means that column-wise operations will be faster. 
dtype  : [optional, float(byDeafult)] Data type of returned array.

返回:

ndarray of zeros having given shape, order and datatype.

代码 1 :

计算机编程语言

# Python Programming illustrating
# numpy.zeros_like method

import numpy as geek

array = geek.arange(10).reshape(5, 2)
print("Original array : \n", array)

b = geek.zeros_like(array, float)
print("\nMatrix b : \n", b)

array = geek.arange(8)
c = geek.zeros_like(array)
print("\nMatrix c : \n", c)

输出:

Original array : 
 [[0 1]
 [2 3]
 [4 5]
 [6 7]
 [8 9]]

Matrix b : 
 [[ 0\.  0.]
 [ 0\.  0.]
 [ 0\.  0.]
 [ 0\.  0.]
 [ 0\.  0.]]

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

代码 2 :

计算机编程语言

# Python Programming illustrating
# numpy.zeros_like method

import numpy as geek

array = geek.arange(10).reshape(5, 2)
print("Original array : \n", array)

array = geek.arange(4).reshape(2, 2)
c = geek.zeros_like(array, dtype = 'float')
print("\nMatrix  : \n", c)

array = geek.arange(8)
c = geek.zeros_like(array, dtype = 'float', order ='C')
print("\nMatrix  : \n", c)

输出:

Original array : 
 [[0 1]
 [2 3]
 [4 5]
 [6 7]
 [8 9]]

Matrix  : 
 [[ 0\.  0.]
 [ 0\.  0.]]

Matrix  : 
 [ 0\.  0\.  0\.  0\.  0\.  0\.  0\.  0.]

参考文献: https://docs . scipy . org/doc/numpy-dev/reference/generated/numpy . zeros _ like . html # numpy . zeros _ like 注意: 同样，这些代码不会在 online-ID 上运行。请在您的系统上运行它们来探索工作方式 本文由 Mohit Gupta_OMG 供稿😀。如果你喜欢 GeeksforGeeks 并想投稿，你也可以使用write.geeksforgeeks.org写一篇文章或者把你的文章邮寄到 review-team@geeksforgeeks.org。看到你的文章出现在极客博客主页上，帮助其他极客。 如果发现有不正确的地方，或者想分享更多关于上述话题的信息，请写评论。

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