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")
url = st.text_input(
"Enter CSV URL:",
value="https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv"
)
# Read and cache the CSV file
@st.cache_data
def load_data(url):
return pd.read_csv(url)
try:
df = load_data(url)
st.write("Data Loaded Successfully!")
except Exception as e:
st.error(f"Error loading data: {e}")
df = pd.DataFrame() # Empty DataFrame if there's an error
# Controls to select number of rows and shuffle data
num_rows = st.slider("Select number of rows to display:", 1, min(len(df), 100), 10)
shuffle = st.checkbox("Shuffle DataFrame")
if shuffle:
df = df.sample(frac=1).reset_index(drop=True) # Shuffle DataFrame
# Display the DataFrame
st.dataframe(df.head(num_rows))
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