Code Editor for app.py

import pandas as pd
import numpy as np
import streamlit as st

# Generate fake data
np.random.seed(0)
num_rows = 10
columns = ['A', 'B', 'C']

# Create a DataFrame with random values
data = pd.DataFrame(np.random.randn(num_rows, len(columns)), columns=columns)

# Style the DataFrame 
styled_data = data.style.highlight_max(axis=0)

# Display the styled DataFrame
st.title('Styled DataFrame Example')
st.write('This is a DataFrame with highlighted maximum values for each column.')
st.dataframe(styled_data)