如何將Yahoo Finance CSV直接導入python

Question

有人知道如何將Yahoo Finance CSV直接導入python嗎？

問題是當我嘗試通過此（示例）鏈接獲取數據時：

http://real-chart.finance.yahoo.com/table.csv?s=WU&a=4&b=20&c=2015&d=05&e=21&f=2016&g=d&ignore=.csv'

它給出一個彈出窗口，詢問我是否要下載csv文件。 當我嘗試將其讀入python時，這會導致bugg。 我的腳本是：

today = datetime.date.today()

def get_url(stock='GOOG', START_date = str(int(str(today).split('-')[0])-1)+
            '-' +str(int(str(today).split('-')[1])-1) + ('-') +
            str(int(str(today).split('-')[2])-1), END_date= str(today)):
    baseurl = 'http://real-chart.finance.yahoo.com/table.csv?'
    stock = 's=WU'

    FROM_date = ('&a=' + START_date.split('-')[1] + '&b=' +
    START_date.split('-')[2] + '&c=' +
    START_date.split('-')[0])

    TO_date = ('&d=' + END_date.split('-')[1] + '&e=' +
    END_date.split('-')[2] + '&f=' + END_date.split('-')[0])

    url = baseurl + stock + FROM_date + TO_date + '&g=d&ignore=.csv'
    return url

rawdate = []
with open(get_url()) as csvfile:
    reader = csv.reader(csvfile, delimiter = ",")
    for row in reader:
        rawdata.append(row)

如果我先下載csv，我可以將其讀入python，但是我想直接訪問csv文件，而不必先下載它。 這可能嗎？ 或者將csv作為temp。

謝謝！

Answer 1

我建議您使用熊貓。 這是一個鏈接 。

import pandas.io.data as web
import datetime
start = datetime.datetime(2010, 1, 1)
end = datetime.datetime(2013, 1, 27)
f = web.DataReader("F", 'yahoo', start, end)
f.ix['2010-01-04']

出[6]：打開1.017000e + 01

高1.028000e + 01

低1.005000e + 01

關閉1.028000e + 01

音量6.085580e + 07

調整關閉8.755953e + 00名稱：2010-01-04 00:00:00，dtype：float64

Answer 2

嘗試這種方式。

in this file "C:/Users/your_path/Desktop/symbols/tickers.txt"
you have the following tickers
ibm
sbux
msft
"""

import urllib
import re
import json

symbolslist = open("C:/Users/rshuell001/Desktop/symbols/tickers.txt").read()
symbolslist = symbolslist.split("\n")

for symbol in symbolslist:
    myfile = open("C:/Users/rshuell001/Desktop/symbols/" +symbol +".txt", "w+")
    myfile.close()

    htmltext = urllib.urlopen("http://www.bloomberg.com/markets/chart/data/1D/"+ symbol+ ":US")
    data = json.load(htmltext)
    datapoints = data["data_values"]

    myfile = open("C:/Users/rshuell001/Desktop/symbols/" +symbol +".txt", "a")
    for point in datapoints:
        myfile.write(str(symbol+","+str(point[0])+","+str(point[1])+"\n"))
    myfile.close()

那應該給你你想要的。