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
# Function to load data from the provided URL
@st.cache_data
def load_data(url):
return pd.read_csv(url)
st.title("Penguins Dataset Viewer")
# Text input for URL with default value
url = st.text_input("Enter CSV URL:", "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv")
# Button to load data
if st.button("Load Data"):
try:
# Load data from the URL
df = load_data(url)
st.success("Data loaded successfully!")
except Exception as e:
st.error(f"Error loading data: {e}")
# Checkbox to shuffle the DataFrame
shuffle = st.checkbox("Randomly shuffle the DataFrame")
if shuffle:
df = df.sample(frac=1).reset_index(drop=True)
# Slider to select number of rows to display
num_rows = st.slider("Select number of rows to display:", 1, min(100, len(df)), 10)
# Display the DataFrame
st.dataframe(df.head(num_rows))
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