Spaces:
Sleeping
Sleeping
| import streamlit as st | |
| import random | |
| def perform_sampling(population_size, sample_size, seed=None): | |
| if seed is not None: | |
| random.seed(seed) | |
| population = list(range(1, population_size + 1)) | |
| if sample_size > population_size: | |
| st.error("Sample size cannot be greater than population size.") | |
| return None | |
| sample = random.sample(population, sample_size) | |
| return sample | |
| def main(): | |
| # Sidebar for user inputs | |
| st.sidebar.title("Input Parameters") | |
| population_size = st.sidebar.number_input('Enter Population Size', min_value=1, value=1000, step=1) | |
| sample_size = st.sidebar.number_input('Enter Sample Size', min_value=1, value=50, step=1) | |
| seed = st.sidebar.number_input('Enter Random Seed (optional)', min_value=0, value=None, step=1, format='%d', key='seed') | |
| # Main screen for title, description, and output | |
| st.title('Simple Random Sampling App') | |
| st.markdown(""" | |
| ## Description | |
| This application performs simple random sampling on a specified population. Enter the population size, | |
| sample size, and an optional random seed in the sidebar and press 'Generate Sample' to see the results. | |
| ## Instructions | |
| - **Population Size**: Total number of items in your population. | |
| - **Sample Size**: Number of items to randomly select from your population. | |
| - **Random Seed**: A seed value to ensure reproducibility of your sample. | |
| """) | |
| if st.sidebar.button('Generate Sample'): | |
| sample = perform_sampling(population_size, sample_size, seed) | |
| if sample is not None: | |
| st.write(f'### Random Sample Output') | |
| st.write(f'Random Sample: {sample}') | |
| st.write(f'Sample Size: {len(sample)}') | |
| if seed is not None: | |
| st.write(f'Random Seed Used: {seed}') | |
| if __name__ == '__main__': | |
| main() | |