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Python 中的 numpy.zeros()

哎哎哎:# t0]https://www . geeksforgeeks . org/num py-zero-python/

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

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 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:操纵数据类型

# 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)]

Reference: https://docs . scipy . org/doc/numpy-dev/Reference/generated/numpy . zeros . html # numpy . zeros 注意: zeros 与零和空不同，不会将数组值分别设置为零或随机值。此外，这些代码不会在在线身份证上运行。请在您的系统上运行它们来探索工作。

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