Code Editor for app.py

import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt
import random

# Streamlit app
st.title('CSV Data Viewer')

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

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

# Load the CSV data
try:
    df = load_data(url)
    st.write('Data loaded successfully!')
except Exception as e:
    st.error(f'Error loading data: {e}')

# Control: number of rows displayed
num_rows = st.slider('Select number of rows to display:', 1, len(df), 5)
if num_rows:
    st.dataframe(df.head(num_rows))

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

# Plotting options
st.sidebar.header('Plotting Options')
variables = df.columns.tolist()
var_x = st.sidebar.selectbox('Select variable for X-axis:', variables)
var_y = st.sidebar.selectbox('Select variable for Y-axis (optional):', [''] + variables)

# Plotting
if st.sidebar.button('Plot'):
    plt.figure(figsize=(10, 5))
    if var_y:
        plt.scatter(df[var_x], df[var_y], alpha=0.5)
        plt.xlabel(var_x)
        plt.ylabel(var_y)
        plt.title(f'Scatter Plot of {var_y} vs {var_x}')
    else:
        df[var_x].value_counts().plot(kind='bar')
        plt.xlabel(var_x)
        plt.title(f'Bar Plot of {var_x}')
    st.pyplot(plt)