How do I implement a progress bar

Question

How do I implement a progress bar in jupyter-notebook?

I\'ve done this:

count = 0
max_count = 100
bar_width = 40
while count <= max_count:
    tim         


        

Answer 1

You can try tqdm. Example code:

# pip install tqdm
from tqdm import tqdm_notebook

# works on any iterable, including cursors. 
# for iterables with len(), no need to specify 'total'.
for rec in tqdm_notebook(items, 
                         total=total, 
                         desc="Processing records"):
    # any code processing the elements in the iterable
    len(rec.keys())

Demo: https://youtu.be/T0gmQDgPtzY

Answer 2

Here is a solution (following this).

from ipywidgets import IntProgress
from IPython.display import display
import time

max_count = 100

f = IntProgress(min=0, max=max_count) # instantiate the bar
display(f) # display the bar

count = 0
while count <= max_count:
    f.value += 1 # signal to increment the progress bar
    time.sleep(.1)
    count += 1

If the value that's changing in the loop is a float instead of an int, you can use ipwidgets.FloatProgress instead.

Answer 3

Take a look at this open-source widget: log-process

Answer 4

I have used ipywidgets and threading to implement a progress bar for the duration of a method call, see the example below

import threading
import time
import ipywidgets as widgets
def method_I_want_progress_bar_for():   
    progress = widgets.FloatProgress(value=0.0, min=0.0, max=1.0)
    finished = False
    def work(progress):#method local to this method
        total = 200
        for i in range(total):
            if finished != True:
                time.sleep(0.2)
                progress.value = float(i+1)/total
            else:
                progress.value = 200
                break

    thread = threading.Thread(target=work, args=(progress,))
    display(progress)
    #start the progress bar thread
    thread.start()

    #Whatever code you want to run async

    finished = True #To set the process bar to 100% and exit the thread

Answer 5

In August 2020, the log-process widget is no longer an appropriate method to apply as it has been integrated into tqdm. The first tutorial example (using the new API) works out-of-the-box in VSCode, and I suspect it will work nicely in Jupyter as well.

from tqdm import tqdm
for i in tqdm(range(10)):
    pass