随机生成基金数据， 涨幅服从的分布和中欧基金的分布一致

import numpy as np
from sklearn.neighbors import KernelDensity
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt


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data = np.array(data)
kde = KernelDensity(kernel='gaussian', bandwidth=0.2).fit(data.reshape(-1, 1))
data2 = kde.sample(n_samples=1158)

# print(data2)

def showZhangFu(data):
  data = data[-250:]
  data = np.array(data).cumsum()
  
  df = pd.DataFrame(dict(time=np.arange(len(data)),
                        value=data))
  g = sns.relplot(x="time", y="value", kind="line", data=df)
  g.figure.autofmt_xdate()
  plt.show()

showZhangFu(data2)