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("CSV Viewer")
# Text input for the URL
url = st.text_input(
"Enter CSV URL:",
value="https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv"
)
# Load CSV data
@st.cache_data
def load_csv(url):
return pd.read_csv(url)
# Load the DataFrame from the URL
try:
df = load_csv(url)
st.success("Data loaded successfully!")
except Exception as e:
st.error(f"Error loading data: {e}")
df = pd.DataFrame() # Create an empty DataFrame in case of error
# Checkbox for shuffling the DataFrame
shuffle = st.checkbox("Shuffle DataFrame")
if shuffle:
df = df.sample(frac=1).reset_index(drop=True)
# Control for number of rows displayed
num_rows = st.number_input("Number of rows to display:", min_value=1, max_value=len(df), value=5)
# Display DataFrame
st.write(df.head(num_rows))
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