Create 22_SimpleNoise.py

pages/22_SimpleNoise.py

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+import streamlit as st
+import numpy as np
+import matplotlib.pyplot as plt
+
+# Streamlit app title
+st.title('Interactive Scatter Plot with Noise and Number of Data Points')
+
+# Sidebar sliders for noise and number of data points
+noise_level = st.sidebar.slider('Noise Level', 0.0, 1.0, 0.1, step=0.01)
+num_points = st.sidebar.slider('Number of Data Points', 100, 1000, 500, step=50)
+
+# Generate data
+np.random.seed(0)
+x = np.linspace(0, 10, num_points)
+y = np.sin(x) + noise_level * np.random.randn(num_points)
+
+# Create scatter plot
+fig, ax = plt.subplots()
+ax.scatter(x, y, alpha=0.6)
+ax.set_title('Scatter Plot with Noise and Number of Data Points')
+ax.set_xlabel('X-axis')
+ax.set_ylabel('Y-axis')
+
+# Display plot in Streamlit
+st.pyplot(fig)