Created
          October 4, 2019 16:47 
        
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    Answer: Animating a Matplotlib chart
  
        
  
    
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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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With newer streamlit versions starting from 0.52.2 and upwards, you need to provide the
clear_figure=Falseflag to both.pyplot(plt)calls. More on this in this issue.