Question

What is faster a list or a numpy array for adding elements in Python

Answer 1

import time

start = time.time()
lst = []
for i in range(100000):
    lst.append(i)
     
end = time.time()
print ("list:", end - start, "seconds")



import numpy as np
 
start = time.time()
arr = np.array([])
for i in range(50000):
    arr = np.append(arr, i)
end = time.time()
print ("numpy array:", end - start, "seconds")
 
 
 
 
'''
run:

list: 0.017374038696289062 seconds
numpy array: 2.1897921562194824 seconds

'''

 

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Answer 2

from time import process_time

start = process_time() 
lst = []
for i in range(100000):
    lst.append(i)
     
end = process_time() 
print ("list:", end - start, "seconds")



import numpy as np
 
start = process_time() 
arr = np.array([])
for i in range(50000):
    arr = np.append(arr, i)
end = process_time() 
print ("numpy array:", end - start, "seconds")
 
 
 
 
'''
run:

list: 0.016762253 seconds
numpy array: 1.9855147359999998 seconds

'''

 

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