Skip to content
Related Articles

Related Articles

Improve Article

Create a Numpy array filled with all zeros | Python

  • Last Updated : 24 Oct, 2019

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 –

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning - Basic Level Course

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.]]




My Personal Notes arrow_drop_up
Recommended Articles
Page :