numpy 矩阵运算 | zeros()函数

numpy.matlib.zeros()是另一个在 numpy 中进行矩阵运算的函数。它返回一个给定形状和类型的矩阵，用零填充。

Syntax : numpy.matlib.zeros(shape, dtype=None, order=’C’)

Parameters :
shape : [int, int] Number of rows and columns in the output matrix.If shape has length one i.e. (N, ), or is a scalar N, out becomes a single row matrix of shape (1, N).
dtype : [optional] Desired output data-type.
order : Whether to store multi-dimensional data in row-major (C-style) or column-major (Fortran-style) order in memory.

Return : Matrix of zeros of given shape, dtype, and order.

代码#1：

# Python program explaining
# numpy.matlib.zeros() function
  
# importing matrix library from numpy
import numpy as geek
import numpy.matlib
  
# desired 3 x 4 zero output matrix 
out_mat = geek.matlib.zeros((3, 4)) 
print ("Output matrix : ", out_mat) 

输出 ：

Output matrix :  [[ 0.  0.  0.  0.]
 [ 0.  0.  0.  0.]
 [ 0.  0.  0.  0.]]

代码#2：

# Python program explaining
# numpy.matlib.zeros() function
  
# importing numpy and matrix library
import numpy as geek
import numpy.matlib
  
# desired 1 x 5 zero output matrix 
out_mat = geek.matlib.zeros(shape = 5, dtype = int) 
print ("Output matrix : ", out_mat) 

输出 ：

Output matrix :  [[0 0 0 0 0]]