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| import streamlit as st | |
| import numpy as np | |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| # Streamlit app layout | |
| st.title("Paying insurance with my savings account 💼") | |
| # Create the inputs (A, r, n) | |
| A = st.number_input("How much do you want monthly?") | |
| r = st.number_input("What is the interest rate?") | |
| n = int(st.number_input("For how many months?", step = 1)) | |
| # Create the outputs | |
| Pn_d = (A * 12 / r) * (1 - (1 / (1 + r/12)**n)) | |
| # Pn_c = (A / (np.exp(r/12) - 1)) * (1 - np.exp(- r * n / 12)) | |
| # Print the outputs | |
| st.write(f"The value of P is {Pn_d:,.2f} with discrete model") | |
| # st.write(f"The value of P is {Pn_c:,.2f} with continuous model") | |
| # Draw the plot | |
| cf_list = [-Pn_d] + [A] * n | |
| cf_dict = pd.DataFrame({"cashflows": cf_list}).astype(float) | |
| cf_df = st.dataframe(cf_dict.T) | |
| # Prepare data for the plot | |
| colors = ["green" if cf > 0 else "red" for cf in cf_dict.cashflows] | |
| plt.scatter(range(n + 1), cf_dict.cashflows, c=colors) | |
| plt.title("Cashflow Diagram") | |
| plt.xlabel("Period") | |
| plt.ylabel("Cashflow") | |
| for i, cf in enumerate(cf_dict.cashflows): | |
| plt.annotate( | |
| f"{cf:,.2f}", | |
| (i, cf), | |
| textcoords="offset points", | |
| xytext=(0, n), | |
| ha="center", | |
| ) | |
| st.pyplot(plt) |