PERF: perf improvements in DataFrame construction with a non-daily datelike index (GH6479)

Dynamic vbenches
BUG: fix non-caching of some frequency offsets for date generation

DOC: release notes
Merge pull request #6481 from jreback/di_perf

PERF: perf improvements in DataFrame construction with a non-daily datelike index (GH6479)
BUG: Bug in iat/iloc with duplicate indices on a Series (6493)
Merge pull request #6495 from jreback/iat

BUG: Bug in iat/iloc with duplicate indices on a Series (6493)
PERF: perf improvements in single-dtyped indexing (GH6484)
DOC: Clarify that methods taking a MultiIndex level index also accept the name
BUG/TST: read_html should follow pandas conventions when creating empty data
Merge pull request #6447 from cpcloud/read-html-float-iterable-5129

BUG/TST: read_html should follow pandas conventions when creating empty data
DOC: further homogenized the description of "level" argument
DOC: level argument description in _binop
Merge pull request #6500 from toobaz/level_name

DOC: Clarify that methods taking a MultiIndex level index also accept the name
DOC: show users how to emulate R c function with iloc slicing and r_
Merge pull request #6499 from cpcloud/r-slicing-with-c

DOC: show users how to emulate R c function with iloc slicing and r_
TST: windows dtype test fix for tests_indexing/test_imethods_with_dups
Merge pull request #6486 from jreback/reindex

PERF: perf improvements in single-dtyped indexing (GH6484)
PERF: optimize index.__getitem__ for slice & boolean mask indexers
Merge pull request #6440 from immerrr/index-getitem-performance

PERF: optimize index.__getitem__ for slice & boolean mask indexers
Merge branch 'master' of git://github.com/pydata/pandas into stata-export-datatype
BUG: Fixes and tests for extreme values in all data types

The extreme values of float and double (Stata, pandas eqiv: float 32 and
float64) were not correct.  This resulted in incorrect truncation. The
handling of missing values have been improved and code to convert missing
values in any format has been added.  The improvement differentiated between
valid ranges for data and missing values.

Additional issues were found when handling missing Dates, where missing Dates
(NaT) were converted to non-missing dates when written.

A test has been added for extreme numeric values as well as missing values.