python-2.7 - Spyder中的Python Quandl

Question

Spyder与numpy和pandas配合得很好，但是与Quandl一起，我得到以下错误（在spyder中）：

        >>> import Quandl
        Traceback (most recent call last):
        File "<stdin>", line 1, in <module>
        ImportError: No module named Quandl

但是从终端Quandl安装后就没有问题：

    $ 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

而且我还可以直接从终端（在python2.7中）直接使用该库：

    $ 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)

为什么spyder无法与Quandl配合使用？

一定有人在我之前尝试过爬这座山。



通过stackoverflow查看时，解决方案未被发现，但是Google小组向我指出：

answer here!

Answer 1

我最初写了Quandl（大写），但似乎出现了错误，但出现了错误。它对我来说是小写字母（import quandl）。

quandl主页上的python代码在这一点上是错误的：

Quandl.get("OFDP/FUTURE_VX6", trim_start="2004-05-19", trim_end="2014-10-16")

因为他们使用大写的Q。