Ploomber AI Editor | penguins-data-viewer-7c7f

App Description

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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Code Editor for app.py

import streamlit as st
import pandas as pd

# Default URL
default_url = "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv"

# Text input for URL
url = st.text_input("Enter CSV URL:", default_url)

@st.cache_data
def load_data(url):
    return pd.read_csv(url)

# Load data
try:
    data = load_data(url)
    st.write("Data loaded successfully")
except Exception as e:
    st.write(f"Error loading data: {e}")
    data = pd.DataFrame()  # Empty DataFrame in case of error

# Control for number of rows to display
num_rows = st.number_input("Number of rows to display:", min_value=1, max_value=len(data), value=10)

# Checkbox to shuffle data
shuffle_data = st.checkbox("Shuffle DataFrame")
if shuffle_data:
    data = data.sample(frac=1).reset_index(drop=True)

# Display DataFrame
st.dataframe(data.head(num_rows))

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Terminal

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app.py