Breaking News: Grepper is joining You.com. Read the official announcement!

append time complexity python

Add Answer

Shanti answered on November 30, 2021 Popularity 9/10 Helpfulness 4/10

answer append time complexity python

related python array append time complexity

related time complexity of append in python

append time complexity python

Comment

If we amortize that per element, it's O(n)/n = O(1).

Popularity 9/10 Helpfulness 4/10 Language python

Source: Grepper

Tags: append python time-complexity

Link to this answer
Share Copy Link

Contributed on Nov 30 2021

Shanti

0 Answers Avg Quality 2/10

Closely Related Answers

python array append time complexity

Comment

# https://stackoverflow.com/questions/176011/python-array-append-time-complexity

# Python list with append()
np.mean(timeit.repeat(setup="a = []", stmt="a.append(1.0)", number=1000, repeat=5000)) * 1000
# 0.054 +/- 0.025 msec

# Python array with append()
np.mean(timeit.repeat(setup="import array; a = array.array('f')", stmt="a.append(1.0)", number=1000, repeat=5000)) * 1000
# 0.104 +/- 0.025 msec

# Numpy array with append()
np.mean(timeit.repeat(setup="import numpy as np; a = np.array([])", stmt="np.append(a, [1.0])", number=1000, repeat=5000)) * 1000
# 5.183 +/- 0.950 msec

# Python list using +=
np.mean(timeit.repeat(setup="a = []", stmt="a += [1.0]", number=1000, repeat=5000)) * 1000
# 0.062 +/- 0.021 msec

# Python array using += 
np.mean(timeit.repeat(setup="import array; a = array.array('f')", stmt="a += array.array('f', [1.0]) ", number=1000, repeat=5000)) * 1000
# 0.289 +/- 0.043 msec

# Python list using extend()
np.mean(timeit.repeat(setup="a = []", stmt="a.extend([1.0])", number=1000, repeat=5000)) * 1000
# 0.083 +/- 0.020 msec

# Python array using extend()
np.mean(timeit.repeat(setup="import array; a = array.array('f')", stmt="a.extend([1.0]) ", number=1000, repeat=5000)) * 1000
# 0.169 +/- 0.034

Popularity 8/10 Helpfulness 1/10 Language python

Source: Grepper

Tags: append python py

Link to this answer
Share Copy Link

Contributed on Oct 27 2022

Nitin Rai

0 Answers Avg Quality 2/10

time complexity of append in python

Comment

my_list = []
for i in range(1000000):
    my_list.append(i)

Popularity 7/10 Helpfulness 1/10 Language python

Source: Grepper

Link to this answer
Share Copy Link

Contributed on Sep 12 2023

YOU.com

0 Answers Avg Quality 2/10

append time complexity python

Contents

More Related Answers

append time complexity python

Closely Related Answers

python array append time complexity

time complexity of append in python

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.