error.py

import datetime


def get_date(x):
    """Extract date from the provided timestamp.
    
    Useful because the Pandas data model makes it hard to invoke
    instance methods of values directly."""
    return x['Occurred Date or Date Range Start'].date()

seattle_data[['Occurred Date or Date Range Start', 'Offense Type']].groupby(get_date)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-41-4b255aa153d2> in <module>()
      9     return x['Occurred Date or Date Range Start'].date()
     10 
---> 11 seattle_data[['Occurred Date or Date Range Start', 'Offense Type']].groupby(get_date)

/Users/hank/dev/.virtualenvs/datasci_assignment_six/lib/python3.5/site-packages/pandas/core/generic.py in groupby(self, by, axis, level, as_index, sort, group_keys, squeeze, **kwargs)
   3776         return groupby(self, by=by, axis=axis, level=level, as_index=as_index,
   3777                        sort=sort, group_keys=group_keys, squeeze=squeeze,
-> 3778                        **kwargs)
   3779 
   3780     def asfreq(self, freq, method=None, how=None, normalize=False):

/Users/hank/dev/.virtualenvs/datasci_assignment_six/lib/python3.5/site-packages/pandas/core/groupby.py in groupby(obj, by, **kwds)
   1425         raise TypeError('invalid type: %s' % type(obj))
   1426 
-> 1427     return klass(obj, by, **kwds)
   1428 
   1429 

/Users/hank/dev/.virtualenvs/datasci_assignment_six/lib/python3.5/site-packages/pandas/core/groupby.py in __init__(self, obj, keys, axis, level, grouper, exclusions, selection, as_index, sort, group_keys, squeeze, **kwargs)
    352                                                     level=level,
    353                                                     sort=sort,
--> 354                                                     mutated=self.mutated)
    355 
    356         self.obj = obj

/Users/hank/dev/.virtualenvs/datasci_assignment_six/lib/python3.5/site-packages/pandas/core/groupby.py in _get_grouper(obj, key, axis, level, sort, mutated)
   2400                         sort=sort,
   2401                         in_axis=in_axis) \
-> 2402             if not isinstance(gpr, Grouping) else gpr
   2403 
   2404         groupings.append(ping)

/Users/hank/dev/.virtualenvs/datasci_assignment_six/lib/python3.5/site-packages/pandas/core/groupby.py in __init__(self, index, grouper, obj, name, level, sort, in_axis)
   2213                     t = self.name or str(type(self.grouper))
   2214                     raise ValueError("Grouper for '%s' not 1-dimensional" % t)
-> 2215                 self.grouper = self.index.map(self.grouper)
   2216                 if not (hasattr(self.grouper, "__len__") and
   2217                         len(self.grouper) == len(self.index)):

/Users/hank/dev/.virtualenvs/datasci_assignment_six/lib/python3.5/site-packages/pandas/indexes/base.py in map(self, mapper)
   2238         applied : array
   2239         """
-> 2240         return self._arrmap(self.values, mapper)
   2241 
   2242     def isin(self, values, level=None):

pandas/src/generated.pyx in pandas.algos.arrmap_int64 (pandas/algos.c:94003)()

<ipython-input-41-4b255aa153d2> in get_date(x)
      7     Useful because the Pandas data model makes it hard to invoke
      8     instance methods of values directly."""
----> 9     return x['Occurred Date or Date Range Start'].date()
     10 
     11 seattle_data[['Occurred Date or Date Range Start', 'Offense Type']].groupby(get_date)

TypeError: 'int' object is not subscriptable