Code Editor for app.py

import streamlit as st
import pandas as pd
import altair as alt

# Cache function to read and cache CSV data
def load_data(url):
    return pd.read_csv(url)

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

# Load Data
@st.cache_data
def get_data():
    return load_data(url)

# Load the DataFrame
try:
    df = get_data()
except Exception as e:
    st.error(f'Error loading CSV: {e}')
    df = pd.DataFrame()

# Display DataFrame
if not df.empty:
    st.dataframe(df)
    
    # Control for number of rows displayed
    row_count = st.slider('Select number of rows to display', 1, min(len(df), 100), 10)
    st.write(df.head(row_count))

    # Checkbox for shuffling DataFrame
    shuffle = st.checkbox('Shuffle DataFrame')
    if shuffle:
        df = df.sample(frac=1).reset_index(drop=True)
        st.write(df.head(row_count))

    # Plotting options
    x_var = st.selectbox('Select variable for x-axis', df.columns)
    y_var = st.selectbox('Select variable for y-axis', df.columns, index=1)

    if x_var and y_var:
        # Create a scatter plot or line chart depending on variable types
        if pd.api.types.is_numeric_dtype(df[x_var]) and pd.api.types.is_numeric_dtype(df[y_var]):
            chart = alt.Chart(df).mark_circle(size=60).encode(
                x=x_var,
                y=y_var,
                tooltip=[x_var, y_var]
            ).interactive()
            st.altair_chart(chart, use_container_width=True)
        elif pd.api.types.is_numeric_dtype(df[x_var]):
            chart = alt.Chart(df).mark_boxplot().encode(
                x=x_var,
                y=y_var,
                tooltip=[x_var, y_var]
            ).interactive()
            st.altair_chart(chart, use_container_width=True)
        else:
            st.write('Choose appropriate numeric variables for plotting.')