Python 量化分析学习笔记--计算复利

import numpy as np
import scipy as sp
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns

mpl.style.use('seaborn-whitegrid');
def sta001(k,nyear,xd):
    d2=np.fv(k,nyear,-xd,-xd)
    d2=round(d2)
    return d2

d40=1.4*40
print("d40,40 x 1.4=",d40)
d=sta001(0.05,40-1,1.4);
print("01保守投资模式， ",d,round(d/d40))

d2=sta001(0.20,40-1,1.4);
print("02激进投资模式， ",d2,round(d2/d40))
dk=round(d2/d)
print("dk,两者差别（xx倍） ： ",dk)
dx05=[sta001(0.05,x,1.4) for x in range(0,40)]
dx10=[sta001(0.10,x,1.4) for x in range(0,40)]
dx15=[sta001(0.15,x,1.4) for x in range(0,40)]
dx20=[sta001(0.20,x,1.4) for x in range(0,40)]
#print(dx05)print(dx20)
df=pd.DataFrame(columns=['dx05','dx10','dx15','dx20']);
df['dx05']=dx05;df['dx10']=dx10;
df['dx15']=dx15;df['dx20']=dx20;
print("")
print(df.tail())
df.plot();
plt.show()