基于创建的mogodb数据库，用python分析股票的跳空缺口

import pymongo
import os
import pandas as pd
import numpy as np
#读取股票代码
stock_name=[]
path1='C:/new_tdx/vipdoc/sh/pythondata'
path2='C:/new_tdx/vipdoc/sz/pythondata'
name1=os.listdir(path1)
name2=os.listdir(path2)
for i in name1:
    stock_name.append(i[2:-4])
for i in name2:
    stock_name.append(i[2:-4])
print(stock_name)
#链接数据库，获取股票数据
client=pymongo.MongoClient()
conn=client.db
#获取一只
"""
for itme in conn[stock_name[0]].find() :
    print (itme)
"""
#获取股票的交易日期
result_set=set()
for stock in stock_name[:100]:
    date_list=[]
    for item in conn[stock].find():
        date_list.append(item['date '])
    result_set=result_set|set(date_list)
result_date=list(result_set)
result_date.sort()
#获取股票数据,并分析是否形成突破缺口
tiaokong_result={}
for date in result_date[1:]:
    date_tiaokong_up=[]
    date_tiaokong_down=[]
    for stock in stock_name:
        date_list=[]
        for item in conn[stock_name[0]].find():
            date_list.append(item['date '])
        if date in date_list:
            #获取当天的高开低收数据
            data=conn[stock].find_one({'date ':date})
            stock_open=data['open']   
            stock_high=data[' high ']
            stock_low=data['low']
            stock_close=data[' close ']
            stock_vol=data[' vol ']
            stock_amount=data['amout']
            #获取前天高开低收的数据
            index=date_list.index(date)
            predate=data_list[index-1]
            data=conn[stock].find_one({'date ':predate})
            stock_preopen=data['open']   
            stock_prehigh=data[' high ']
            stock_prelow=data['low']
            stock_preclose=data[' close ']
            stock_prevol=data[' vol ']
            stock_preamount=data['amout']
            #分析是否存在缺口
            if stock_open>stock_prehigh and stock_low>stock_prehigh:
                print('存在向上的跳空缺口')
                date_tiaokong_up.append(stock)
            if stock_open<stock_prelow and stock_high<stock_prelow:
                print('存在向下的跳空缺口')
                date_tiaokong_down.append(stock)
     tiaokong_result{str(date)}=[date_tiaokong_up,date_tiaokong_down]