Code Editor for app.py

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

# Set random seed for reproducibility
np.random.seed(42)

# Create dates for one year
dates = pd.date_range(start='2023-01-01', end='2023-12-31', freq='D')

# Generate random revenue data with the same length as dates
n_points = len(dates)
revenue = np.random.normal(loc=1000, scale=200, size=n_points)

# Create DataFrame
data = pd.DataFrame({
    'Date': dates,
    'Revenue': revenue
})

# Create a Plotly figure
fig = px.scatter(
    data, 
    x='Date', 
    y='Revenue',
    title='Simulated S&P 500 Daily Revenue (2023)',
    color='Revenue',
    opacity=0.6
)

# Customize the layout
fig.update_layout(
    xaxis_title="Date",
    yaxis_title="Revenue ($)",
    showlegend=True
)

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

# test