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
# Title of the app
st.title('CSV Viewer')
# Text input for the CSV URL
url = st.text_input('Enter the 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 and display the data
try:
data = load_data(url)
# Checkbox for shuffling data
shuffle = st.checkbox('Shuffle DataFrame')
if shuffle:
data = data.sample(frac=1).reset_index(drop=True)
# Control for number of rows to display
num_rows = st.slider('Select number of rows to display:', 1, len(data), 10)
# Display the selected rows of the DataFrame
st.dataframe(data.head(num_rows))
except Exception as e:
st.error(f'Error loading data: {e}')
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