DOC: Use correct git hub numbers for deprecations [#6641]
Merge pull request #6844 from jsexauer/fixDoc6813

DOC: Use correct git hub numbers for deprecations [#6641]
DOC: minor formatting corrections in v0.14.0 / release
ERROR: better expection for passing a MS frequency (GH5332)
TST: correction for freq in GH5332
API/BUG Raise ValueError when stacking nonunique levels

Should raise a ValueError when (un)stacking a DataFrame
on a nonunique level. Previous behavior was to raise
a KeyError (not deliberately). Closes #6729.
Merge pull request #6849 from TomAugspurger/unstack-nonunique

API/BUG Raise ValueError when stacking nonunique levels
API: make Series.sort/order arguments in the same order
     drop unused Series.sort order argument
     added Series.sort na_position argument to conform with Series.order
     Series.order default kind is not 'quicksort' to conform with Series.sort
     (and others), (GH6847)
ENH: Index(...) constructor creates a MultiIndex when appropriate.

- Series and DataFrame constructor autodetect when index/columns
should be MultiIndex
- prevents some seg faults in calls to cython funcs
- add tupleize_cols kwarg and update tests to git PR comments
- support name= xor names= in Index(tuples, ....) constructor
- docs

BUG: Index.identical(other) didn't compare type(other) to type(self)
DOC: updated dsinstro.rst
Merge pull request #6848 from jreback/sort

API: make Series.sort/order arguments in the same order
BUG: to_timedelta not properly converting some units (GH6855)
Merge pull request #6858 from jreback/timedelta

BUG: to_timedelta not properly converting some units (GH6855)
DOC: minor docs changes
Update v0.10.1.txt

typo
API: add inplace keyword to Series.order/sort to make them inverses (GH6859)
BUG: _tidy_repr should not be called when max_rows is None

http://stackoverflow.com/q/22824104/190597
BLD: update 2.7 build (doc build) to use matplotlib 1.3.1
Merge pull request #6863 from unutbu/max-rows

BUG: _tidy_repr should not be called when max_rows is None
BLD: change 2.7 build to use scipy 0.13.3