Ploomber AI Editor | penguins-data-viewer-adf6

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

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

# Load CSV using cache
@st.cache_data
def load_data(url):
    return pd.read_csv(url)

# Load data
try:
    df = load_data(url)
    st.write("Data loaded successfully!")
except Exception as e:
    st.error(f"Error loading data: {e}")

# Checkbox to shuffle DataFrame
shuffle = st.checkbox("Shuffle DataFrame")

# Control for number of rows to display
rows_to_display = st.number_input("Number of rows to display:", min_value=1, max_value=len(df), value=5)

# Shuffle DataFrame if checkbox is checked
if shuffle:
    df = df.sample(frac=1).reset_index(drop=True)

# Display DataFrame
st.dataframe(df.head(rows_to_display))

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app.py