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
Drop files here
or click to upload
import streamlit as st
import pandas as pd
st.title("Penguins Data Viewer")
url = st.text_input("Enter CSV URL:", "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv")
# Caching the CSV data
@st.cache_data
def load_data(url):
return pd.read_csv(url)
# Load the data
try:
data = load_data(url)
except Exception as e:
st.error(f"Error loading data: {e}")
data = pd.DataFrame()
# Control for number of rows to display
num_rows = st.slider("Number of rows to display:", 1, min(len(data), 100), 10)
# Checkbox to shuffle the DataFrame
shuffle_data = st.checkbox("Shuffle Data")
if shuffle_data:
data = data.sample(frac=1).reset_index(drop=True)
# Display DataFrame
st.write(data.head(num_rows))Hi! I can help you with any questions about Streamlit and Python. What would you like to know?