Ploomber AI Editor | csv-data-viewer-c19b

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

# URL input
url = st.text_input("Enter CSV URL:", "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv")

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

try:
    df = load_data(url)
except Exception as e:
    st.error(f"Error loading data: {e}")
    df = None

if df is not None:
    # Control to select number of rows to display
    num_rows = st.slider("Select number of rows to display:", min_value=1, max_value=len(df), value=10)

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

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

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Terminal

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app.py