11 Ways to Create a List of Zeros in Python

Problem Formulation

A common task is to initialize a list with zeros, which could be for pre-allocating storage for data, initializing parameters for algorithms, or creating placeholder structures for later updates.

# The desired length of the list.
size = 10 

# The expected output: a list of ten zeros.
desired_output = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]  

# How do we efficiently create such a list in Python?

In Python, there are several ways to create such a list, and choosing the right method often depends on the specific requirements of your use case, such as the size of the list and the need for efficiency.

Method 1: Using a For Loop

A straightforward approach is to use a for loop to append zeros to a list. This is intuitive but not the most efficient method for large lists.

zeros_list = []
for _ in range(10):
    zeros_list.append(0)

The code initializes an empty list and appends zero to it ten times using a for loop.

Method 2: Using List Comprehension

List comprehension provides a more concise and Pythonic way to create a list of zeros.

zeros_list = [0 for _ in range(10)]

This single line of code achieves the same result as the for loop in Method 1, using a more compact syntax.

Method 3: Using the * Operator

With the asterisk * operator, you can create a list with repeated elements in Python.

zeros_list = [0] * 10

This code example creates a list of ten zeros by repeating the single-element list [0] ten times.

Method 4: Using the NumPy Library

The NumPy library offers a dedicated method to create arrays filled with zeros, which is efficient and widely used in scientific computing.

import numpy as np
zeros_list = np.zeros(10).tolist()

Here, np.zeros() creates a NumPy array of zeros of the specified size, which is then converted to a list using .tolist().

Method 5: Using a While Loop

While loops can also be used to create a list of zeros, although less commonly than for loops.

zeros_list = []
i = 0
while i < 10:
    zeros_list.append(0)
    i += 1

Similar to a for loop, the code appends zeros to the list until it has ten elements.

Method 6: Using the map Function

The map function can be used to execute a function over an iterable and create a list of the results.

zeros_list = list(map(lambda x: 0, range(10)))

This code uses map to apply a lambda function that returns zero for each item in the range, constructing the list.

Method 7: Using List Multiplication with a Variable

List multiplication can be abstracted using a variable to control the number of zeros.

count = 10
zeros_list = [0] * count

This method is similar to Method 3, but with a variable count to specify the number of zeros.

Method 8: Using itertools.repeat

The itertools.repeat function can create an iterator that returns the same value for a specified number of times.

from itertools import repeat
zeros_list = list(repeat(0, 10))

We wrap the repeat iterator with list() to create a list of ten zeros.

Method 9: Using bytearray

A bytearray can be initialized with zeroes and then converted to a list of integers.

zeros_bytearray = bytearray(10)
zeros_list = list(zeros_bytearray)

The bytearray initializes a bytes-like object filled with zeros, which we convert to a list of integers.

Method 10: Using array.array

The array module provides a way to create an array of a specified numeric type filled with zeros.

from array import array
zeros_list = array('i', [0] * 10)

Here, we specify ‘i’ for integers, followed by a list multiplication, and then convert the array to a list if needed.

Method 11: Using the *= Operator with a List

We can use the in-place *= operator to expand a list’s size.

zeros_list = [0]
zeros_list *= 10

This code initializes a list with a single element and then expands it to ten elements by repeating itself.

Summary/Discussion

Choosing the right method to create a list of zeros in Python depends on your specific needs and context.

  • For most cases, list comprehension or the * operator are both succinct and efficient.
  • In scientific computing, using NumPy may offer additional benefits.