pythonpandas-datareader

Getting Quandl Data via Pandas Data-Reader

I am having trouble using pandas-datareader to import data from Quandl. Here is the code that I have tried (with a real API key):

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)

I get the following error messages when I run this:

>>> 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'

What am I missing? How do I provide the API key?

Solution

  • The source shows how the DataReader factory function passes it to the Quandl reader:

    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()

    So try passing it to DataReader with the access_key argument:

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