Create app2.py

app2.py

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+import streamlit as st
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+
+# Function to compute present value
+def calculate_pv(cashflows, rate):
+    pv = sum(cf / (1 + rate) ** i for i, cf in enumerate(cashflows))
+    return pv
+
+# Streamlit app layout (nombre)
+st.title('Cashflow Calculadora de valor presente')
+
+# Input for the discount rate
+rate = st.number_input('Tasa de descuento (%)', min_value=0.0, max_value=100.0, value=15.0, step=0.1)/100
+
+# Inputs for the number of years
+n = st.number_input("Cuántos años", min_value = 0, step=1)
+
+# Inputs for the cashflows
+cf_list = [0] * (n+1)
+cf_dict = pd.DataFrame({"cashflows": cf_list}).astype(int)
+cf_df = st.data_editor(cf_dict.T)
+
+cashflows = np.array(cf_df.values[0])
+
+# Button to calculate PV
+if st.button('Calcula el valor presente'):
+    pv = calculate_pv(cashflows, rate)
+    st.write(f'El valor presnte es: ${pv:,.2f}')
+    
+    # Prepare data for the plot
+    colors = ['green' if cf > 0 else 'red' for cf in cashflows]
+    plt.scatter(range(n+1), cashflows, c=colors)
+    plt.title('Cashflow Diagrama')
+    plt.xlabel('Periodo')
+    plt.ylabel('Cashflow')
+    for i, cf in enumerate(cashflows):
+        plt.annotate(f'{cf:,.2f}', (i, cf), textcoords="offset points", xytext=(0,n), ha='center')
+    st.pyplot(plt)
+