pages/data.dataframe1.py

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


@st.cache_data
def load_data():
    df = pd.DataFrame(
        np.random.randn(10, 20), columns=("col %d" % i for i in range(20))
    )
    return df


df = load_data()

st.dataframe(df.style.highlight_max(axis=0))