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
# Set default URL
default_url = "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv"
# Title of the app
st.title("Penguins Data Viewer")
# Input field for URL
url = st.text_input("Enter CSV URL:", default_url)
@st.cache_data
def load_data(url):
return pd.read_csv(url)
# Load data
try:
data = load_data(url)
st.write("Data successfully loaded from:", url)
except Exception as e:
st.error(f"Error loading data: {e}")
data = pd.DataFrame() # Empty DataFrame in case of error
if not data.empty:
# Checkbox to shuffle data
shuffle = st.checkbox("Shuffle Data")
if shuffle:
data = data.sample(frac=1).reset_index(drop=True)
# Control for number of rows displayed
num_rows = st.slider("Select number of rows to display:", 1, len(data), 5)
# Display the DataFrame
st.dataframe(data.head(num_rows))
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