This csv (from the baseball database) reads ok to a DataFrame, pastes ok to a json.
In [6]: df = pd.read_csv('https://raw.github.com/hayd/lahman2012/master/csvs/Teams.csv')
In [7]: s = df.to_json()
In [8]: pd.read_json(s)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-8-ebde42cd0695> in <module>()
----> 1 pd.read_json(s)
/Users/234BroadWalk/pandas/pandas/io/json.pyc in read_json(path_or_buf, orient, typ, dtype, numpy, parse_dates, keep_default_dates)
158 obj = None
159 if typ == 'frame':
--> 160 obj = FrameParser(json, orient, dtype, numpy, parse_dates, keep_default_dates).parse()
161
162 if typ == 'series' or obj is None:
/Users/234BroadWalk/pandas/pandas/io/json.pyc in parse(self)
185
186 def parse(self):
--> 187 self._parse()
188 if self.obj is not None:
189 self._convert_axes()
/Users/234BroadWalk/pandas/pandas/io/json.pyc in _parse(self)
284 try:
285 if orient == "columns":
--> 286 args = loads(json, dtype=dtype, numpy=True, labelled=True)
287 if args:
288 args = (args[0].T, args[2], args[1])
TypeError: long() argument must be a string or a number, not 'NoneType'
cc #3804
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