| import baostock as bs import pandas as pd import numpy as np import matplotlib.pyplot as plt import datetime def get_his_k_data(stockcode = 'sh.600000'): login() # 详细指标参数,参见“历史行情指标参数”章节 rs = bs.query_history_k_data(stockcode, "date,code,open,high,low,close,preclose,volume,amount,pctChg", start_date='2018-01-01', end_date='2018-09-13', frequency="d", adjustflag="2") print (rs.error_code) #### 打印结果集 #### data_list = [] while (rs.error_code == '0') & rs.next(): # 获取一条记录,将记录合并在一起 data_list.append(rs.get_row_data()) result = pd.DataFrame(data_list, columns=rs.fields) print (result) bs.logout() return result def find_RedMarubozu(stockcode = 'sh.600000'): """ 寻找出现的开盘秃阳线和收盘秃阳线 """ hisdata = get_his_k_data(stockcode) highlist = hisdata['high'].astype('float') lowlist = hisdata['low'].astype('float') closelist = hisdata['close'].astype('float') openlist = hisdata['open'].astype('float') datelist = hisdata['date'] for i in range(len(datelist)): if closelist <= openlist: continue if lowlist == openlist: print("%s 是开盘秃阳线,"%datelist), if highlist == closelist: print("并且是光头光脚阳线") if highlist == closelist: print("%s 是收盘秃阳线"%datelist) if __name__ == '__main__': # plot_CCI_close_pic('sz.300104') find_RedMarubozu('sz.300104') |