Python-如何在仍然获取数据的同时避免在 pandas 中发生错误(异常)? [英] Python - How to avoid error (Exceptions) in Pandas while still getting data ?

问题描述

我目前正在使用Pandas从yahoo获取期权数据.直到有没有选择权的股票，它会正常运行，此时程序崩溃.我试图创建例外，只是让它通过但没有运气.我如何让程序识别没有选择权的股票而只是跳过?谢谢.

I'm currently using Pandas to get options data from yahoo. It works fine until there is a stock that does not have options, at which point the program crashes. I attempted to create exceptions and just have it pass but without luck. How can I have the program identify stocks with no options and just skip? Thanks.

我得到的错误是:RemoteDataError:数据不可用

The error I get is this: RemoteDataError: Data not available

这是代码(我用没有选择权的股票来测试->'GHC'):

Here's the code (I used a stock with no options to test--> 'GHC'):

from pandas_datareader.data import Options
import pandas as pd
from pandas import DataFrame
import datetime
import csv
import time
import sys

tickers = ['GHC']

for i in tickers:
option = Options(i,'yahoo')
data = option.get_all_data()

try:
    print data.head

except AttributeError:
    pass

except RemoteDataError:
    pass

推荐答案

您可以处理从pandas_datareader._utils导入的RemoteDataError异常:

You can handle the RemoteDataError exception imported from pandas_datareader._utils:

from pandas_datareader._utils import RemoteDataError
from pandas_datareader.data import Options

tickers = ['GHC']

for i in tickers:
    try:
        option = Options(i, 'yahoo')
        data = option.get_all_data()
    except RemoteDataError:
        print("No information for ticker '%s'" % i)
        continue

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