创建一个用全零填充的 Numpy 数组| Python
原文:https://www . geeksforgeeks . org/create-a-numpy-array-全零填充-python/
在本文中，我们将学习如何创建一个充满全零的 Numpy 数组，给定数组的形状和类型。
我们可以使用 Numpy.zeros()方法来完成这个任务。该方法采用三个参数，讨论如下–
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.
示例#1:
# Python Program to create array with all zeros
import numpy as geek
a = geek.zeros(3, dtype = int)
print("Matrix a : \n", a)
b = geek.zeros([3, 3], dtype = int)
print("\nMatrix b : \n", b)
输出:
Matrix a :
[0 0 0]
Matrix b :
[[0 0 0]
[0 0 0]
[0 0 0]]
例 2:
# Python Program to create array with all zeros
import numpy as geek
c = geek.zeros([5, 3])
print("\nMatrix c : \n", c)
d = geek.zeros([5, 2], dtype = float)
print("\nMatrix d : \n", d)
输出:
Matrix c :
[[ 0\. 0\. 0.]
[ 0\. 0\. 0.]
[ 0\. 0\. 0.]
[ 0\. 0\. 0.]
[ 0\. 0\. 0.]]
Matrix d :
[[ 0\. 0.]
[ 0\. 0.]
[ 0\. 0.]
[ 0\. 0.]
[ 0\. 0.]]
