BUG: get_dtype_counts() works too hard to count column dtypes, GH2807
VB: add vbench for df.get_dtype_counts(), df.repr() for wide frame
DOC:  update RELEASE.rst
BUG: missing () on method call in io.data _calc_return_index

Thanks @mrjbq7
BUG: fix vbench command
BUG: Series ops with a rhs of a Timestamp was throwing an exception
     unique of a Series now returns a Series
     _index.convert_scalar now will ignore a ndarray object if the lhs is timelike
        (eg a non-scalar that is a series/ndarray is passed)

BUG: py3 issue with np.datetime64 conversion
     added array_timedelta_to_int conversions in tslib.pyx
     removed unique changes

DOC: added docs to timeseries for timedeltas and v0.11.0 whatsnew
     minor fixing of doc refernce in v0.10.0
     updated RELASE.rst

ENH: added ability for Series to set its dtype if it detects all timedelta like objects

ENH: added null checking and NaT support for timedelta64
     added formatter for timedelta64
     added setting via np.nan for NaT values (similar to datetime64[ns] support)
FMT: fixed timedelta64[ns] formatting (was breaking on py3.3)
     had to roll a new printer (repr_timedelta64) rather than use
     default str(x)