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How to create an array of zeros in Python?

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In this article, we will discuss how to create an array of zeros in Python. In array items are stored at contiguous memory locations and here we will try to add only Zeros into the array with different methods.

Here we will cover different approaches to creating a zero’s element array. The different approaches that we will cover in this article are:

Table of Contents

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Example 1: Using simple multiplication

In this example, we are multiplying the array of zero to 9. In return, we will get an array with 9 elements of 0’s.

Python3

arr0 = [0] * 9

print (arr0)

Output:

[0, 0, 0, 0, 0, 0, 0, 0, 0]

Example 2: Using a loop

In this example, we are creating a 0’s array using a loop of range from 0 to 10.

Python3

arr1 = []

for i in range(0,10):

arr1.append(0)

print(arr1)

Output:

[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]

Example 3: Using List comprehension

In this example, we are creating a 2-D array using a list comprehension in python to create 0’s of 5 rows and 10 columns.

Python3

arr2 = [[0 for col in range(5)] for row in range(10)]

print(arr2)

Output:

[[0, 0, 0, 0, 0],
 [0, 0, 0, 0, 0],
 [0, 0, 0, 0, 0],
 [0, 0, 0, 0, 0],
 [0, 0, 0, 0, 0],
 [0, 0, 0, 0, 0],
 [0, 0, 0, 0, 0],
 [0, 0, 0, 0, 0],
 [0, 0, 0, 0, 0],
 [0, 0, 0, 0, 0]]

Example 4: Using the In-Build method numpy.zeros() method

In this example, we are creating a NumPy array with zeros as the numpy.zeros() function is used which returns a new array of given shape and type, with zeros.

Python3

import numpy as np

arr3 = np.zeros((2, 2, 3), dtype=[('x', 'int'), ('y', 'float')])

print(arr3)

print(arr3.dtype)

Output:

In the output, i4 specifies 4 bytes of integer data type, whereas f8 specifies 8 bytes of float data type.

[[[(0, 0.) (0, 0.) (0, 0.)]
  [(0, 0.) (0, 0.) (0, 0.)]]

 [[(0, 0.) (0, 0.) (0, 0.)]
  [(0, 0.) (0, 0.) (0, 0.)]]]
[('x', '<i4'), ('y', '<f8')]

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