Idea - Import and export support for DataPackages about pandas-datareader HOT 11 CLOSED

In [1]: import datapackage

In [2]: datapkg = datapackage.DataPackage('http://data.okfn.org/data/cpi/')
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-2-21b6afb5084e> in <module>()
----> 1 datapkg = datapackage.DataPackage('http://data.okfn.org/data/cpi/')

//anaconda/lib/python3.4/site-packages/datapackage/datapackage.py in __init__(self, *args, **kwargs)
    100         elif len(args) == 1:
    101             self.base = args[0]
--> 102             descriptor = self.get_descriptor()
    103             super(DataPackage, self).__init__(**descriptor)
    104         else:

//anaconda/lib/python3.4/site-packages/datapackage/datapackage.py in get_descriptor(self)
    588         # Load the descriptor json contents
    589         str_descriptor = descriptor.read()
--> 590         json_descriptor = json.loads(str_descriptor)
    591
    592         # Return the descriptor json contents (as the dict json.load returns

//anaconda/lib/python3.4/json/__init__.py in loads(s, encoding, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
    310     if not isinstance(s, str):
    311         raise TypeError('the JSON object must be str, not {!r}'.format(
--> 312                             s.__class__.__name__))
    313     if s.startswith(u'\ufeff'):
    314         raise ValueError("Unexpected UTF-8 BOM (decode using utf-8-sig)")

TypeError: the JSON object must be str, not 'bytes'

>> import datapackage
>>
>> # Note trailing slash is important for data.okfn.org
>> datapkg = datapackage.DataPackage('http://data.okfn.org/data/cpi/')
>>
>> print(datapkg.title)
Annual Consumer Price Index (CPI)
>> print datapkg.description
Annual Consumer Price Index (CPI) for most countries in the world. Reference year is 2005.
>> # Weird example just to show how to work with data rows
>> print(sum([row['CPI'] for row in datapkg.data]))
405442.60078415077

df = pd.DataFrame(list(datapkg.data))

>> df['CPI'].sum()
405442.60078415077