Code Editor for app.py

import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np

# Function to load data
@st.cache_data
def load_data(url):
    return pd.read_csv(url)

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

# Title of the app
st.title("Penguins Data Viewer")

# URL input
url_input = st.text_input("Enter CSV URL:", value=url)

data = load_data(url_input)

# Control for number of rows displayed
num_rows = st.slider("Select number of rows to display:", 1, data.shape[0], 5)

# Show DataFrame
st.write(data.head(num_rows))

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

# Controls for plotting
st.subheader("Plotting Variables")
vars = data.select_dtypes(include=[np.number]).columns.tolist()
selected_vars = st.multiselect("Choose variables to plot:", vars, default=vars[:2])

if len(selected_vars) == 1:
    # Scatter plot for single variable
    st.write(f"### Plot for {selected_vars[0]}")
    plt.figure(figsize=(10, 6))
    plt.hist(data[selected_vars[0]], bins=20, color='blue', alpha=0.7)
    plt.xlabel(selected_vars[0])
    plt.ylabel("Frequency")
    st.pyplot()  
elif len(selected_vars) == 2:
    # Scatter plot for two variables
    st.write(f"### Scatter plot of {selected_vars[0]} vs {selected_vars[1]}")
    plt.figure(figsize=(10, 6))
    plt.scatter(data[selected_vars[0]], data[selected_vars[1]], alpha=0.7)
    plt.xlabel(selected_vars[0])
    plt.ylabel(selected_vars[1])
    st.pyplot()