import pandas as pd
import numpy as np
import warnings
warnings.filterwarnings("ignore")
pd.options.plotting.backend = "plotly"
#从csv文件获取数据
data = pd.read_csv('testPandasShit.csv', sep='\s+')
pd.set_option('display.max_rows',None)
pd.set_option('display.max_columns',None)
print("原始数据:\n{0}".format(data['close']))
print("shift(1)后数据\n{0}".format(data['close'].shift(1)))
ret = np.log(data["close"]) - np.log(data["close"].shift(1))
print("收益率对数:\n{0}\n".format(ret))
数据：
date open close high low volume money 2022-08-16 4498.0 4498.0 4498.0 4498.0 1.0 6.747000e+04 2022-08-17 4486.0 4500.0 4511.0 4486.0 7.0 4.729950e+05 2022-08-18 4433.0 4391.0 4436.0 4391.0 10.0 6.618900e+05 2022-08-19 4373.0 4352.0 4387.0 4344.0 29.0 1.893450e+06
标签：计算,python,data,08,4498.0,2022,pd,close,收益率 From： https://www.cnblogs.com/justinzhang/p/17456427.html