Code Editor for app.py

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

# Function to generate random data and a plot
def generate_random_plot():
    # Generate random data
    x = np.linspace(0, 10, 100)
    y = np.random.rand(100)
    color = np.random.rand(3,)  # Random color for the line

    # Randomly choose between histogram and scatterplot
    plot_type = np.random.choice(['scatter', 'histogram'])

    if plot_type == 'scatter':
        # Create a scatter plot
        fig, ax = plt.subplots()
        ax.scatter(x, y, color=color, label='Random Scatter Data')
        ax.set_title('Random Scatter Plot')
    else:
        # Create a histogram
        fig, ax = plt.subplots()
        ax.hist(y, bins=10, color=color, label='Random Histogram Data', alpha=0.7)
        ax.set_title('Random Histogram Plot')

    ax.set_xlabel('X-axis')
    ax.set_ylabel('Y-axis')
    ax.legend()
    return fig

# Streamlit app
st.title('Random Data Plotter')

# Generate multiple random plots
num_plots = st.slider('Select number of plots to generate per column:', 1, 5)

col1, col2, col3 = st.columns(3)

for i in range(num_plots):
    with col1:
        fig = generate_random_plot()
        st.pyplot(fig)
    with col2:
        fig = generate_random_plot()
        st.pyplot(fig)
    with col3:
        fig = generate_random_plot()
        st.pyplot(fig)