Ploomber AI Editor | penguins-data-viewer-feed

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

st.title('Penguins Data Viewer')

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

@st.cache_data
def load_data(url):
    return pd.read_csv(url)

# Load data
try:
    data = load_data(url)
except Exception as e:
    st.error(f'Error loading data: {e}')
else:
    
    # Control for number of rows to display
    num_rows = st.slider('Number of rows to display:', min_value=1, max_value=len(data), value=5)
    
    # Checkbox to shuffle the DataFrame
    shuffle = st.checkbox('Shuffle DataFrame')
    if shuffle:
        data = data.sample(frac=1).reset_index(drop=True)
    
    # Display the DataFrame
    st.dataframe(data.head(num_rows))

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app.py