Create a Numpy array filled with all zeros | Python

In this article, we will learn how to create a Numpy array filled with all zeros, given the shape and type of array.

We can use Numpy.zeros() method to do this task. This method takes three parameters, discussed below –

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.  

Example #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)

Output:

Matrix a : 
 [0 0 0]

Matrix b : 
 [[0 0 0]
 [0 0 0]
 [0 0 0]]

Example #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)

Output:

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.]]