Dr-Irv
diff --git a/‎asv_bench/asv.conf.json
+1 b/‎asv_bench/asv.conf.json
+1
diff --git a/‎asv_bench/benchmarks/frame_methods.py
+10 b/‎asv_bench/benchmarks/frame_methods.py
+10
diff --git a/‎asv_bench/benchmarks/gil.py
+46 b/‎asv_bench/benchmarks/gil.py
+46
diff --git a/‎asv_bench/benchmarks/series_methods.py
+20 b/‎asv_bench/benchmarks/series_methods.py
+20
diff --git a/‎ci/install_conda.sh
+1-1 b/‎ci/install_conda.sh
+1-1
diff --git a/‎ci/requirements-2.7.pip
+2 b/‎ci/requirements-2.7.pip
+2
diff --git a/‎ci/requirements-2.7_SLOW.pip b/‎ci/requirements-2.7_SLOW.pip
diff --git a/‎ci/requirements-3.4.build
+1 b/‎ci/requirements-3.4.build
+1
diff --git a/‎doc/source/conf.py
+3-2 b/‎doc/source/conf.py
+3-2
diff --git a/‎doc/source/io.rst
+3-2 b/‎doc/source/io.rst
+3-2
diff --git a/‎doc/source/whatsnew/v0.17.1.txt
+33-1 b/‎doc/source/whatsnew/v0.17.1.txt
+33-1
@@ -43,6 +43,7 @@
         "numexpr": [],
         "pytables": [],
         "openpyxl": [],
+        "xlsxwriter": [],
         "xlrd": [],
         "xlwt": []
     },
 
@@ -930,6 +930,16 @@ def time_frame_xs_row(self):
         self.df.xs(50000)
 
 
+class frame_sort_index(object):
+    goal_time = 0.2
+
+    def setup(self):
+        self.df = DataFrame(randn(1000000, 2), columns=list('AB'))
+
+    def time_frame_sort_index(self):
+        self.df.sort_index()
+
+
 class series_string_vector_slice(object):
     goal_time = 0.2
 
 
@@ -320,3 +320,49 @@ def time_nogil_kth_smallest(self):
         def run(arr):
             algos.kth_smallest(arr, self.k)
         run()
+
+class nogil_datetime_fields(object):
+    goal_time = 0.2
+
+    def setup(self):
+        self.N = 100000000
+        self.dti = pd.date_range('1900-01-01', periods=self.N, freq='D')
+        self.period = self.dti.to_period('D')
+        if (not have_real_test_parallel):
+            raise NotImplementedError
+
+    def time_datetime_field_year(self):
+        @test_parallel(num_threads=2)
+        def run(dti):
+            dti.year
+        run(self.dti)
+
+    def time_datetime_field_day(self):
+        @test_parallel(num_threads=2)
+        def run(dti):
+            dti.day
+        run(self.dti)
+
+    def time_datetime_field_daysinmonth(self):
+        @test_parallel(num_threads=2)
+        def run(dti):
+            dti.days_in_month
+        run(self.dti)
+
+    def time_datetime_field_normalize(self):
+        @test_parallel(num_threads=2)
+        def run(dti):
+            dti.normalize()
+        run(self.dti)
+
+    def time_datetime_to_period(self):
+        @test_parallel(num_threads=2)
+        def run(dti):
+            dti.to_period('S')
+        run(self.dti)
+
+    def time_period_to_datetime(self):
+        @test_parallel(num_threads=2)
+        def run(period):
+            period.to_timestamp()
+        run(self.period)
@@ -71,3 +71,23 @@ def setup(self):
     def time_series_nsmallest2(self):
         self.s2.nsmallest(3, take_last=True)
         self.s2.nsmallest(3, take_last=False)
+
+
+class series_dropna_int64(object):
+    goal_time = 0.2
+
+    def setup(self):
+        self.s = Series(np.random.randint(1, 10, 1000000))
+
+    def time_series_dropna_int64(self):
+        self.s.dropna()
+
+class series_dropna_datetime(object):
+    goal_time = 0.2
+
+    def setup(self):
+        self.s = Series(pd.date_range('2000-01-01', freq='S', periods=1000000))
+        self.s[np.random.randint(1, 1000000, 100)] = pd.NaT
+
+    def time_series_dropna_datetime(self):
+        self.s.dropna()
@@ -73,7 +73,7 @@ bash miniconda.sh -b -p $HOME/miniconda || exit 1
 conda config --set always_yes yes --set changeps1 no || exit 1
 conda update -q conda || exit 1
 conda config --add channels conda-forge || exit 1
-conda config --add channels http://conda.binstar.org/pandas || exit 1
+conda config --add channels http://conda.anaconda.org/pandas || exit 1
 conda config --set ssl_verify false || exit 1
 
 # Useful for debugging any issues with conda
 
@@ -2,3 +2,5 @@ blosc
 httplib2
 google-api-python-client == 1.2
 python-gflags == 2.0
+pathlib
+py
@@ -2,3 +2,4 @@ python-dateutil
 pytz
 numpy=1.8.1
 cython
+libgfortran
@@ -299,8 +299,9 @@
 intersphinx_mapping = {
     'statsmodels': ('http://statsmodels.sourceforge.net/devel/', None),
     'matplotlib': ('http://matplotlib.org/', None),
-    'python': ('http://docs.python.org/', None),
-    'numpy': ('http://docs.scipy.org/doc/numpy', None)
+    'python': ('http://docs.python.org/3', None),
+    'numpy': ('http://docs.scipy.org/doc/numpy', None),
+    'py': ('http://pylib.readthedocs.org/en/latest/', None)
 }
 import glob
 autosummary_generate = glob.glob("*.rst")
 
@@ -79,9 +79,10 @@ for some advanced strategies
 
 They can take a number of arguments:
 
-  - ``filepath_or_buffer``: Either a string path to a file, URL
+  - ``filepath_or_buffer``: Either a path to a file (a :class:`python:str`,
+    :class:`python:pathlib.Path`, or :class:`py:py._path.local.LocalPath`), URL
     (including http, ftp, and S3 locations), or any object with a ``read``
-    method (such as an open file or ``StringIO``).
+    method (such as an open file or :class:`~python:io.StringIO`).
   - ``sep`` or ``delimiter``: A delimiter / separator to split fields
     on. With ``sep=None``, ``read_csv`` will try to infer the delimiter
     automatically in some cases by "sniffing".
 
@@ -17,6 +17,7 @@ Highlights include:
 
 Enhancements
 ~~~~~~~~~~~~
+- ``DatetimeIndex`` now supports conversion to strings with astype(str)(:issue:`10442`)
 
 - Support for ``compression`` (gzip/bz2) in :method:`DataFrame.to_csv` (:issue:`7615`)
 
@@ -27,6 +28,10 @@ Enhancements
 Other Enhancements
 ^^^^^^^^^^^^^^^^^^
 
+- ``pd.read_*`` functions can now also accept :class:`python:pathlib.Path`, or :class:`py:py._path.local.LocalPath`
+  objects for the ``filepath_or_buffer`` argument. (:issue:`11033`)
+- Improve the error message displayed in :func:`pandas.io.gbq.to_gbq` when the DataFrame does not match the schema of the destination table (:issue:`11359`)
+
 .. _whatsnew_0171.api:
 
 API changes
@@ -37,17 +42,31 @@ API changes
 - Regression from 0.16.2 for output formatting of long floats/nan, restored in (:issue:`11302`)
 - Prettyprinting sets (e.g. in DataFrame cells) now uses set literal syntax (``{x, y}``) instead of
   Legacy Python syntax (``set([x, y])``) (:issue:`11215`)
+- Indexing with a null key will raise a ``TypeError``, instead of a ``ValueError`` (:issue:`11356`)
 
 .. _whatsnew_0171.deprecations:
 
 Deprecations
 ^^^^^^^^^^^^
 
+- The ``pandas.io.ga`` module which implements ``google-analytics`` support is deprecated and will be removed in a future version (:issue:`11308`)
+- Deprecate the ``engine`` keyword from ``.to_csv()``, which will be removed in a future version (:issue:`11274`)
+
+
 .. _whatsnew_0171.performance:
 
 Performance Improvements
 ~~~~~~~~~~~~~~~~~~~~~~~~
 
+- Checking monotonic-ness before sorting on an index (:issue:`11080`)
+- ``Series.dropna`` performance improvement when its dtype can't contain ``NaN`` (:issue:`11159`)
+
+
+- Release the GIL on most datetime field operations (e.g. ``DatetimeIndex.year``, ``Series.dt.year``), normalization, and conversion to and from ``Period``, ``DatetimeIndex.to_period`` and ``PeriodIndex.to_timestamp`` (:issue:`11263`)
+
+
+- Improved performance to ``to_excel`` (:issue:`11352`)
+
 .. _whatsnew_0171.bug_fixes:
 
 Bug Fixes
@@ -58,13 +77,19 @@ Bug Fixes
 
 - Bug in ``HDFStore.select`` when comparing with a numpy scalar in a where clause (:issue:`11283`)
 
-- Bug in tz-conversions with an ambiguous time and ``.dt`` accessors (:issues:`11295`)
+
+- Bug in tz-conversions with an ambiguous time and ``.dt`` accessors (:issue:`11295`)
+- Bug in comparisons of Series vs list-likes (:issue:`11339`)
 
 
+- Bug in ``DataFrame.replace`` with a ``datetime64[ns, tz]`` and a non-compat to_replace (:issue:`11326`, :issue:`11153`)
 
 
 
+- Bug in list-like indexing with a mixed-integer Index (:issue:`11320`)
 
+- Bug in ``pivot_table`` with ``margins=True`` when indexes are of ``Categorical`` dtype (:issue:`10993`)
+- Bug in ``DataFrame.plot`` cannot use hex strings colors (:issue:`10299`)
 
 
 
@@ -88,5 +113,12 @@ Bug Fixes
 
 
 - Bugs in ``to_excel`` with duplicate columns (:issue:`11007`, :issue:`10982`, :issue:`10970`)
+
 - Fixed a bug that prevented the construction of an empty series of dtype
   ``datetime64[ns, tz]`` (:issue:`11245`).
+
+- Bug in ``read_excel`` with multi-index containing integers (:issue:`11317`)
+
+- Bug in ``to_excel`` with openpyxl 2.2+ and merging (:issue:`11408`)
+
+- Bug in ``DataFrame.to_dict()`` produces a ``np.datetime64`` object instead of ``Timestamp`` when only datetime is present in data (:issue:`11327`)