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- import matplotlib.pyplot as plt
- import numpy as np
- import streamlit as st
- import time
- fig, ax = plt.subplots()
- max_x = 5
- max_rand = 10
- x = np.arange(0, max_x)
- ax.set_ylim(0, max_rand)
- line, = ax.plot(x, np.random.randint(0, max_rand, max_x))
- the_plot = st.pyplot(plt)
- def init(): # give a clean slate to start
- line.set_ydata([np.nan] * len(x))
- def animate(i): # update the y values (every 1000ms)
- line.set_ydata(np.random.randint(0, max_rand, max_x))
- the_plot.pyplot(plt)
- init()
- for i in range(100):
- animate(i)
- time.sleep(0.1)
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