I am having issues accessing data inside a dictionary.

Sys: Macbook 2012
Python: Python 3.5.1 :: Continuum Analytics, Inc.

I am working with a dask.dataframe created from a csv.

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How I got to this point

Assume I start out with a Pandas Series:

df.Coordinates130      {u'type': u'Point', u'coordinates': [-43.30175...278      {u'type': u'Point', u'coordinates': [-51.17913...425      {u'type': u'Point', u'coordinates': [-43.17986...440      {u'type': u'Point', u'coordinates': [-51.16376...877      {u'type': u'Point', u'coordinates': [-43.17986...1313     {u'type': u'Point', u'coordinates': [-49.72688...1734     {u'type': u'Point', u'coordinates': [-43.57405...1817     {u'type': u'Point', u'coordinates': [-43.77649...1835     {u'type': u'Point', u'coordinates': [-43.17132...2739     {u'type': u'Point', u'coordinates': [-43.19583...2915     {u'type': u'Point', u'coordinates': [-43.17986...3035     {u'type': u'Point', u'coordinates': [-51.01583...3097     {u'type': u'Point', u'coordinates': [-43.17891...3974     {u'type': u'Point', u'coordinates': [-8.633880...3983     {u'type': u'Point', u'coordinates': [-46.64960...4424     {u'type': u'Point', u'coordinates': [-43.17986...

The problem is, this is not a true dataframe of dictionaries. Instead, it's a column full of strings that LOOK like dictionaries. Running this show it:

df.Coordinates.apply(type)130      <class 'str'>278      <class 'str'>425      <class 'str'>440      <class 'str'>877      <class 'str'>1313     <class 'str'>1734     <class 'str'>1817     <class 'str'>1835     <class 'str'>2739     <class 'str'>2915     <class 'str'>3035     <class 'str'>3097     <class 'str'>3974     <class 'str'>3983     <class 'str'>4424     <class 'str'>

My Goal: Access the coordinates key and value in the dictionary. That's it. But it's a str

I converted the strings to dictionaries using eval.

new = df.Coordinates.apply(eval)130      {'coordinates': [-43.301755, -22.990065], 'typ...278      {'coordinates': [-51.17913026, -30.01201896], ...425      {'coordinates': [-43.17986794, -22.91000096], ...440      {'coordinates': [-51.16376782, -29.95488677], ...877      {'coordinates': [-43.17986794, -22.91000096], ...1313     {'coordinates': [-49.72688407, -29.33757253], ...1734     {'coordinates': [-43.574057, -22.928059], 'typ...1817     {'coordinates': [-43.77649254, -22.86940539], ...1835     {'coordinates': [-43.17132318, -22.90895217], ...2739     {'coordinates': [-43.1958313, -22.98755333], '...2915     {'coordinates': [-43.17986794, -22.91000096], ...3035     {'coordinates': [-51.01583481, -29.63593292], ...3097     {'coordinates': [-43.17891379, -22.96476163], ...3974     {'coordinates': [-8.63388008, 41.14594453], 't...3983     {'coordinates': [-46.64960938, -23.55902666], ...4424     {'coordinates': [-43.17986794, -22.91000096], ...

Next I text the type of object and get:

130      <class 'dict'>278      <class 'dict'>425      <class 'dict'>440      <class 'dict'>877      <class 'dict'>1313     <class 'dict'>1734     <class 'dict'>1817     <class 'dict'>1835     <class 'dict'>2739     <class 'dict'>2915     <class 'dict'>3035     <class 'dict'>3097     <class 'dict'>3974     <class 'dict'>3983     <class 'dict'>4424     <class 'dict'>

If I try to access my dictionaries:new.apply(lambda x: x['coordinates']

---------------------------------------------------------------------------TypeError                                 Traceback (most recent call last)<ipython-input-71-c0ad459ed1cc> in <module>()----> 1 dfCombined.Coordinates.apply(coord_getter)/Users/linwood/anaconda/envs/dataAnalysisWithPython/lib/python3.5/site-packages/pandas/core/series.py in apply(self, func, convert_dtype, args, **kwds)   2218         else:   2219             values = self.asobject-> 2220             mapped = lib.map_infer(values, f, convert=convert_dtype)   2221    2222         if len(mapped) and isinstance(mapped[0], Series):pandas/src/inference.pyx in pandas.lib.map_infer (pandas/lib.c:62658)()<ipython-input-68-748ce2d8529e> in coord_getter(row)      1 import ast      2 def coord_getter(row):----> 3     return (ast.literal_eval(row))['coordinates']TypeError: 'bool' object is not subscriptable

It's some type of class, because when I run dir I get this for one object:

new.apply(lambda x: dir(x))[130]130           __class__130        __contains__130         __delattr__130         __delitem__130             __dir__130             __doc__130              __eq__130          __format__130              __ge__130    __getattribute__130         __getitem__130              __gt__130            __hash__130            __init__130            __iter__130              __le__130             __len__130              __lt__130              __ne__130             __new__130          __reduce__130       __reduce_ex__130            __repr__130         __setattr__130         __setitem__130          __sizeof__130             __str__130    __subclasshook__130               clear130                copy130            fromkeys130                 get130               items130                keys130                 pop130             popitem130          setdefault130              update130              valuesName: Coordinates, dtype: object

My Problem: I just want to access the dictionary. But, the object is <class 'dict'>. How do I covert this to a regular dict or just access the key:value pairs?

Any ideas??