I need to measure the execution time of a Python program having the following structure:
import numpy
import pandas
def func1():
code
def func2():
code
if __name__ == '__main__':
func1()
func2()
If I want to use "time.time()", where should I put them in the code? I want to get the execution time for the whole program.
Alternative 1:
import time
start = time.time()
import numpy
import pandas
def func1():
code
def func2():
code
if __name__ == '__main__':
func1()
func2()
end = time.time()
print("The execution time is", end - start)
Alternative 2:
import numpy
import pandas
def func1():
code
def func2():
code
if __name__ == '__main__':
import time
start = time.time()
func1()
func2()
end = time.time()
print("The execution time is", end - start)
In linux: you could run this file test.py using the time command
time python3 test.py
After your program runs it will give you the following output:
real 0m0.074s
user 0m0.004s
sys 0m0.000s
this link will tell the difference between the three times you get
The whole program:
import time
t1 = time.time()
import numpy
import pandas
def func1():
code
def func2():
code
if __name__ == '__main__':
func1()
func2()
t2 = time.time()
print("The execution time is", t2 - t1)
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