How do I dynamically update matplotlib plots in a tqdm-loop inside a Jupyter notebook?

How do I do something like:

from tqdm.notebook import tqdm
from matplotlib import pyplot as plt
from IPython import display

import time
import numpy as np

xx = list()

for i in tqdm(range(500)):
    xx.append(i * 0.1)
    yy = np.sin(xx)

    if i % 10 == 0:
        display.clear_output(wait=True)
        plt.plot(xx, yy)
        time.sleep(0.1) 

but keeping a tqdm progress bar from disappearing when I update the plot?