Update app.py

app.py

@@ -21,22 +21,21 @@ t = np.arange(T + 1)
 # Numpy array for the interest rate
 r_list = np.array([r] * len(t))
 
-st.write(r_list)
-
 # Numpy array with the returns for each month in t
-y = A * (1 + (r/(12*100)))**t
+y = A * (1 + (r_list / (12*100)))**t
 
 # Numpy array with the continuously compunded returns
-y_c = A * np.exp(r * t / (12*100))
+y_c = A * np.exp(r_list * t / (12*100))
 
 # Create the investment dictionary
 inv_dict = {"Month": t, 
-           "Returns": y, 
-           "Continuous returns": y_c}
+            "Rate": r_list, 
+            "Returns": y, 
+            "Continuous returns": y_c}
 
 # Create the investment dataframe
 inv_df = pd.DataFrame(inv_dict)
 inv_df.columns = inv_dict.keys()
 
-st.dataframe(inv_df)
+st.data_editor(inv_df)