Question

我在使用pandas-datareader从Quandl导入数据时遇到麻烦。这是我尝试过的代码（带有真实的API密钥）：

import pandas_datareader.data as pdr
from datetime import date

start=date(1970,1,1)
end=date.today()
ticker='F'
qkey=[My API Key]

pdr.QUANDL_API_KEY=qkey
QUANDL_API_KEY=qkey
pdrquandl=pdr.DataReader('WIKI/'+ticker,'quandl',start,end)      
pdrquandl=pdr.DataReader('WIKI/'+ticker,'quandl',start,end,api_key=qkey)

运行此命令时，我收到以下错误消息：

>>> pdrquandl=pdr.DataReader('WIKI/'+ticker,'quandl',start,end)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Python37\lib\site-packages\pandas_datareader\data.py", line 379, in DataReader
    session=session, api_key=access_key).read()
  File "C:\Python37\lib\site-packages\pandas_datareader\quandl.py", line 54, in __init__
    raise ValueError('The Quandl API key must be provided either '
ValueError: The Quandl API key must be provided either through the api_key variable or through the environmental variable QUANDL_API_KEY.
>>> pdrquandl=pdr.DataReader('WIKI/'+ticker,'quandl',start,end,api_key=qkey)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: DataReader() got an unexpected keyword argument 'api_key'

我想念什么？如何提供API密钥？

Answer 1

source显示了DataReader工厂函数如何将其传递给Quandl阅读器：

elif data_source == "quandl":
        return QuandlReader(symbols=name, start=start, end=end,
                            retry_count=retry_count, pause=pause,
                            session=session, api_key=access_key).read()

因此，请尝试使用access_key参数将其传递给DataReader：

pdrquandl=pdr.DataReader('WIKI/'+ticker,'quandl',start,end,access_key=qkey)

Answer 2

一种量化方法

import quandl 
quandl.ApiConfig.api_key = "API-KEY"
aapl = quandl.get("WIKI/TICKER", start_date="YEAR-MONTH-DAY", end_date="YEAR-MONTH-DAY")

Answer 3

我使用它并且它有效：

pdrquandl = pdr.DataReader("WIKI/TICKER", 'quandl', start_date, end_date,api_key = [YOUR_API_KEY])

通过熊猫数据读取器获取Quandl数据

3 个答案: