Code Editor for app.py

import streamlit as st
import numpy as np
import pandas as pd
import plotly.express as px

# Simulate S&P 500 revenue data
np.random.seed(42)
dates = np.array([f'2023-{month:02d}-01' for month in range(1, 13)])
rainfall = np.random.rand(len(dates)) * 1000  # Adjust length to match dates

# Create a DataFrame with the simulated data
data = pd.DataFrame({
    'Date': dates,
    'Revenue': rainfall
})

rainfall = np.random.rand(1000000) * 1000

# Create a DataFrame with the simulated data
data = pd.DataFrame({
    'Date': np.tile(dates, len(rainfall) // len(dates)),  # Adjusting to repeat dates correctly
    'Revenue': rainfall
})
# Create a Plotly figure with WebGPU in mind
fig = px.scatter(data, x='Date', y='Revenue', title='Simulated S&P 500 Revenue', color='Revenue', opacity=0.5)

# Display the plot
st.plotly_chart(fig, use_container_width=True)