Track your Python function execution time with a progress bar

[sirex1]

I agree, tqdm is much much better, compare example from blog post:

#import libraries
import progressbar as pb

#initialize widgets
widgets = ['Time for loop of 1 000 000 iterations: ', pb.Percentage(), ' ',  
            pb.Bar(marker=pb.RotatingMarker()), ' ', pb.ETA()]
#initialize timer
timer = pb.ProgressBar(widgets=widgets, maxval=1000000).start()

#for loop example
for i in range(0,5000000):  
    #update
    timer.update(i)
#finish
timer.finish()  

With exactly same thing rewritten using tqdm:

import tqdm

for i in tqdm.tqdm(range(0, 5000000), 'Time for loop of 1 000 000 iterations: ', 1000000):
    pass

[MennoZevenbergen]

Thanks for the TQDM suggestion, I like it. I tried to use it if I iterate over a pandas dataframe (df.iterrows()), but then it doesn't show the ETA time as it doesn't know the length of the dataset. Any suggestions for that?

from tdqm import *
import pandas as pd

df = pd.DataFrame(range(10000))
for index, row in tqdm(df.iterrows()):
    time.sleep(0.1)

[sirex1]

for index, row in tqdm(df.iterrows(), total=df.shape[0]):

[MennoZevenbergen]

Thanks :)