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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import streamlit as st
import pandas as pd
st.title("Penguins Data Viewer")
# Default URL
url = st.text_input("Enter CSV URL:", "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv")
# Cache the data loading function
def load_data(url):
return pd.read_csv(url)
# Load the data and display errors if any
try:
df = load_data(url)
st.success("Data loaded successfully")
except Exception as e:
st.error(f"Failed to load data: {e}")
df = pd.DataFrame() # Create an empty DataFrame
# Checkbox to shuffle the DataFrame
if not df.empty:
shuffle = st.checkbox("Shuffle Data")
if shuffle:
df = df.sample(frac=1).reset_index(drop=True)
# Control number of rows to display
num_rows = st.slider("Select number of rows to display:", 1, len(df), 5)
# Display the DataFrame
st.dataframe(df.head(num_rows))
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