Sorry for double post. Deleted duplicate. On Sunday, January 5, 2014 3:19:26 PM UTC-5, Jason Mellone wrote: > > Hi, > > I installed the Quandl library using: > > > $ sudo easy_install quandl >> Password: >> Searching for quandl >> Reading http://pypi.python.org/simple/quandl/ >> Best match: Quandl 1.8.1 >> Downloading >> https://pypi.python.org/packages/source/Q/Quandl/Quandl-1.8.1.tar.gz#md5=f67bef937eb7522d70cf39ed0de740c1 >> Processing Quandl-1.8.1.tar.gz >> Running Quandl-1.8.1/setup.py -q bdist_egg --dist-dir >> /tmp/easy_install-BEwINw/Quandl-1.8.1/egg-dist-tmp-aBuphk >> zip_safe flag not set; analyzing archive contents... >> Adding Quandl 1.8.1 to easy-install.pth file >> >> Installed /Library/Python/2.7/site-packages/Quandl-1.8.1-py2.7.egg >> Processing dependencies for quandl >> Finished processing dependencies for quandl >> >> > And I can use it quite easily from the terminal: > > $ python2.7 >> Python 2.7.5 (default, Aug 25 2013, 00:04:04) >> [GCC 4.2.1 Compatible Apple LLVM 5.0 (clang-500.0.68)] on darwin >> Type "help", "copyright", "credits" or "license" for more information. >> >>> import Quandl >> >>> data= Quandl.get(['GOOG/NASDAQ_AAPL.4','GOOG/NASDAQ_MSFT.4']) >> No authentication tokens found: usage will be limited. >> See www.quandl.com/api for more information. >> Returning Dataframe for [u'GOOG.NASDAQ_AAPL.4', u'GOOG.NASDAQ_MSFT.4'] >> >>> data >> <class 'pandas.core.frame.DataFrame'> >> DatetimeIndex: 8294 entries, 1981-03-11 00:00:00 to 2014-01-03 00:00:00 >> Data columns (total 2 columns): >> GOOG.NASDAQ_AAPL - Close 8294 non-null values >> GOOG.NASDAQ_MSFT - Close 7027 non-null values >> dtypes: float64(2) >> >> > Yet when I try to use this in Spyder I get the following error: > >> >>> import Quandl >> Traceback (most recent call last): >> File "<stdin>", line 1, in <module> >> ImportError: No module named Quandl >> >> > > Any ideas? > > Thank you very much in advance! > >> > > >
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