Create 42_regression.py

pages/42_regression.py

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+import streamlit as st
+import plotly.graph_objects as go
+
+# Title
+st.title("Interactive Equation Plotter")
+
+# Sidebar sliders
+st.sidebar.header("Controls")
+w = st.sidebar.slider('W (slope)', min_value=-10.0, max_value=10.0, value=1.0, step=0.1)
+b = st.sidebar.slider('B (intercept)', min_value=-100.0, max_value=100.0, value=0.0, step=1.0)
+
+# Initial x position
+x = st.slider('X position', min_value=-100.0, max_value=100.0, value=0.0, step=1.0)
+
+# Calculate y based on the equation y = w * x + b
+y = w * x + b
+
+# Create the plot
+fig = go.Figure()
+
+# Plot for the y-axis (top line)
+fig.add_shape(type="line", x0=-100, x1=100, y0=1, y1=1,
+              line=dict(color="blue", width=2, dash="dash"))
+
+# Plot for the x-axis (bottom line)
+fig.add_shape(type="line", x0=-100, x1=100, y0=-1, y1=-1,
+              line=dict(color="blue", width=2, dash="dash"))
+
+# Plot the x point
+fig.add_trace(go.Scatter(x=[x], y=[-1], mode='markers', marker=dict(color='red', size=10), name="X point"))
+
+# Plot the y point
+fig.add_trace(go.Scatter(x=[y], y=[1], mode='markers', marker=dict(color='red', size=10), name="Y point"))
+
+# Update the layout
+fig.update_layout(
+    title=f'y = {w} * x + {b}',
+    xaxis=dict(range=[-100, 100]),
+    yaxis=dict(range=[-2, 2], showticklabels=False),
+    showlegend=False,
+    height=400,
+    margin=dict(t=50, b=10)
+)
+
+# Display the plot in Streamlit
+st.plotly_chart(fig)
+
+# Add instruction to click and drag the point on x-axis
+st.write("Drag the red dot on the x-axis to change the x position.")