BUG: initialize other fields of datetimestruct to 0
BLD: fix python 3 build
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: incorrect default in df.convert_objects was converting object types in applymap (#2909)

DOC: typos in RELEASE.rst
Merge pull request #2910 from pydata/applymap

BUG: incorrect default in df.convert_objects was converting object types (#2909)
BUG: support data column indexers that have a large numbers of values
     'in' the columns/index (and are not in the index/column) and
     not simple criteria

DOC: update release notes

CLN: cleanup indexing code for field indexer
Merge pull request #2914 from jreback/pytables_bug1

BUG: support data column indexers that have a large numbers of values
DOC: correct docstring to reflect default value in df.plot GH2863
DOC: update docstring of ts.resample with missing arguments GH2861
BUG: Series construction from MaskedArray fails for non-floating, non-object types
Merge pull request #2880 from stephenwlin/sanitize-masked-array

BUG: Series construction from MaskedArray fails for non-floating, non-object types

thanks!
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)

ENH: increased robustness in detection/conversion of timedelta64
     that are intermixed with np.nan,NaT,iNaT
BUG: nanops.var produces incorrect results due to int64 overflow
Merge pull request #2889 from stephenwlin/nanops-int64

BUG: nanops.var produces incorrect results due to int64 overflow (fixes #2888)
ENH: add script for locating undocumented arguments in docstrings
DOC: docstring fixes