Ploomber AI Editor | dataframe-viewer-7067

App Description

Create a Streamlit application that has a text field to enter a URL (default value: https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv). The app should read the CSV file (and cache it) from the URL and display a DataFrame. Add controls to do the following: - Control how many rows are displayed - A checkbox to determine to randomly shuffle the DataFrame

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Code Editor for app.py

import streamlit as st
import pandas as pd

# Cache the data loading function
@st.cache_data
def load_data(url):
    return pd.read_csv(url)

st.title("DataFrame Viewer")

# Text input for URL
url = st.text_input(
    "Enter CSV URL",
    value="https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv"
)

try:
    # Load the data
    df = load_data(url)
    
    # Controls
    col1, col2 = st.columns(2)
    
    with col1:
        n_rows = st.number_input(
            "Number of rows to display",
            min_value=1,
            max_value=len(df),
            value=min(10, len(df))
        )
    
    with col2:
        shuffle = st.checkbox("Randomly shuffle data")
    
    # Process the dataframe based on user input
    if shuffle:
        df = df.sample(frac=1, random_state=42).reset_index(drop=True)
    
    # Display the dataframe
    st.dataframe(df.head(n_rows))

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app.py