如何在Python中循环使用

Question

所以我想将一些数据压缩到几分钟。我在考虑使用循环时间？要在09:30:00到04:00:00之间为每分钟范围（也就是09：30：00-09：30：59）提取数据，请将其用于某些数学运算，然后将其保存在另一只大熊猫中数据帧。我不知道如何做到这一点，也不知道Google对于时间循环究竟是什么。

#Refrences
from time import *
import urllib.request as web
import pandas as pd
import os

forToday = 'http://netfonds.no/quotes/tradedump.php?csv_format=csv&paper='

def pullToday(exchange,stock):
    dateToday = strftime("%Y-%m-%d", localtime())
    fileName=('data/'+exchange+'/'+stock+'/'+dateToday+'.txt')
    try:
        if not os.path.isdir(os.path.dirname(fileName)):
            os.makedirs(os.path.dirname(fileName))
    except OSError:
        print("Something went very wrong. Review the dir creation section")

    pageBuffer=web.urlopen(forToday+stock+'.'+exchange)
    pageData=pd.read_csv(pageBuffer,usecols=['time','price','quantity'])
    for i in pageData.index:
        pageData['time'][i]=pd.datetime.strptime(pageData['time'][i],'%Y%m%dT%H%M%S')
        pageData['time'][i]-=pd.datetime.strptime(dateToday+"TZ06","%Y-%m-%dTZ%H")

    print(pageData)

    dataFile = open(fileName,'w')
    dataFile.write('#Format: Timestamp;Volume;Low;High;Median\n')
    dataFile.close()
    pageData.to_csv(fileName,index=False,sep=';',mode='a',header=False)

def getList(fileName):
    stockList = []
    file = open(fileName+'.txt', 'r').read()
    fileByLines = file.split('\n')
    for eachLine in fileByLines:
        if '#' not in eachLine:
            lineByValues = eachLine.split('.')
            stockList.append(lineByValues)
    return stockList

start_time = time()

stockList = getList('stocks')
#for eachEntry in stockList:
#    pullToday(eachEntry[0],eachEntry[1])

pullToday('O','AAPL')

delay=str(round((time()-start_time)))
print('Finished in ' + delay)

我想做什么：

for eachMinute in pageData:
    for eachTrade in eachMinute:
        avgPriceSum+=quantityOfTrade*priceOfTrade
        minuteVolume+=quantityOfTrade

     avgPriceSum/=minuteVolume