import streamlit as st import numpy as np import matplotlib.pyplot as plt number_of_observations = st.slider('Number of observations', min_value=50, max_value=150) X = np.column_stack((np.ones(number_of_observations), np.random.random(number_of_observations)) fig = plt.figure(dpi=80, figsize=(7,7)) ax = fig.add_subplot(111) ax.set_xlim((0,1)) ax.set_ylim((-5,20)) plt.scatter(X[:,1], y, c='r', edgecolors='#fda172') line_thickness = 2 line, = ax.plot([], [], lw=line_thickness) st.pyplot(fig) st.write(X[:5, :])