Python中的 numpy.zeros()

numpy.zeros()函数返回一个给定形状和类型的新数组，带有零。句法：

numpy.zeros(shape, dtype = None, order = 'C')

参数 ：

shape : integer or sequence of integers
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：

Python

# Python Program illustrating
# numpy.zeros method
 
import numpy as geek
 
b = geek.zeros(2, dtype = int)
print("Matrix b : \n", b)
 
a = geek.zeros([2, 2], dtype = int)
print("\nMatrix a : \n", a)
 
c = geek.zeros([3, 3])
print("\nMatrix c : \n", c)

输出 ：

Matrix b : 
 [0 0]

Matrix a : 
 [[0 0]
 [0 0]]

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

代码 2：操作数据类型

Python

# Python Program illustrating
# numpy.zeros method
 
import numpy as geek
 
# manipulation with data-types
b = geek.zeros((2,), dtype=[('x', 'float'), ('y', 'int')])
print(b)

输出 ：

[(0.0, 0) (0.0, 0)]