Python timeit

last modified February 16, 2025

In this article, we show how to use the timeit module in Python to measure the execution time of small code snippets. The timeit module is particularly useful for performance testing and optimization, as it provides accurate timing results by running the code multiple times.

The timeit module is part of Python’s standard library, so no additional installation is required.

Basic Usage of timeit

The timeit module provides the timeit function, which can be used to measure the execution time of a statement. The function has the following parameters:

• stmt: The statement to be timed (default is pass).

• setup: Code to run before executing the statement (default is pass).

• timer: A timeit.Timer object (usually has a sensible default).

• number: The number of times to execute the statement (default is 1,000,000).

Example: Timing a Simple Statement

The following example demonstrates how to time a simple arithmetic operation.

main.py

import timeit

Time the execution of the statement “5 + 5”

stm = “5 + 5” print(timeit.timeit(stmt=stm, number=50_000_000))

In this program, the timeit.timeit function is used to measure the execution time of the statement 5 + 5 over 50 million iterations.

$ python main.py 0.7231783000170253

Example: Timing Exponentiation

The following example compares the execution time of two methods for calculating exponentiation: using the ** operator and the pow function.

main.py

import timeit

Time the execution of the statement “3 ** 3”

stm = “3 ** 3” print(timeit.timeit(stmt=stm, number=50_000_000))

Time the execution of the statement “pow(3, 3)”

stm = “pow(3, 3)” print(timeit.timeit(stmt=stm, number=50_000_000))

In this program, the timeit.timeit function is used to measure the execution time of the statements 3 ** 3 and pow(3, 3) over 50 million iterations.

$ python main.py 0.6393674000282772 3.6729515999904834

Comparing Loops: for vs while

The following example compares the execution time of a for loop and a while loop.

main.py

import timeit

Define a function with a for loop

mycode = ’’’ def fn(): for e in range(10000): print(e) ’''

Define a function with a while loop

mycode2 = ’’’ def fn(): i = 0 while i < 10000: print(i) i += 1 ’''

Time the execution of the for loop

print(timeit.timeit(stmt=mycode, number=5_000_000))

Time the execution of the while loop

print(timeit.timeit(stmt=mycode2, number=5_000_000))

In this program, the timeit.timeit function is used to measure the execution time of a for loop and a while loop over 5 million iterations.

$ python main.py 0.44675440003629774 0.4859266999992542

Using a Decorator for Timing

The following example demonstrates how to create a decorator using the timeit module to measure the execution time of functions.

main.py

import timeit

Define a decorator for timing functions

def time_it(fn): def wrapper(*args, **kwargs): t0 = timeit.default_timer() fn(*args, **kwargs) t1 = timeit.default_timer() print("{0:.10f} seconds".format(t1 - t0)) return wrapper

Apply the decorator to functions

@time_it def fstring_fn(vals): print(“fstring_fn:”, f"{vals[0]} {vals[1]} {vals[2]} {vals[3]} {vals[4]}")

@time_it def format_fn(vals): print(“format_fn:”, “{0} {1} {2} {3} {4}".format(*vals))

@time_it def oldschool_fn(vals): print(“oldschool_fn:”, “%s %s %s %s %s” % vals)

Test data

data = (‘sky’, ‘pen’, 23.0, -11, True)

Call the decorated functions

fstring_fn(data) print(’—————’) format_fn(data) print(’—————’) oldschool_fn(data)

In this program, the time_it decorator is used to measure the execution time of three functions: fstring_fn, format_fn, and oldschool_fn.

$ python main.py fstring_fn: sky pen 23.0 -11 True 0.0002156000 seconds

format_fn: sky pen 23.0 -11 True 0.0002937000 seconds

oldschool_fn: sky pen 23.0 -11 True 0.0003093000 seconds

Source

Python timeit - Documentation

In this article, we have shown how to use the timeit module in Python to measure the execution time of small code snippets. The timeit module is a powerful tool for performance testing and optimization.

Author

My name is Jan Bodnar, and I am a passionate programmer with extensive programming experience. I have been writing programming articles since 2007. To date, I have authored over 1,400 articles and 8 e-books. I possess more than ten years of experience in teaching programming.

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