pandas-dev · sahildua2305 · Oct 6, 2016 · Oct 6, 2016 · Oct 6, 2016 · Oct 6, 2016
diff --git a/.github/CONTRIBUTING.md b/.github/CONTRIBUTING.md
@@ -278,7 +278,7 @@ Please try to maintain backward compatibility. *pandas* has lots of users with l
 
 Adding tests is one of the most common requests after code is pushed to *pandas*. Therefore, it is worth getting in the habit of writing tests ahead of time so this is never an issue.
 
-Like many packages, *pandas* uses the [Nose testing system](http://nose.readthedocs.org/en/latest/index.html) and the convenient extensions in [numpy.testing](http://docs.scipy.org/doc/numpy/reference/routines.testing.html).
+Like many packages, *pandas* uses the [Nose testing system](https://nose.readthedocs.io/en/latest/index.html) and the convenient extensions in [numpy.testing](http://docs.scipy.org/doc/numpy/reference/routines.testing.html).
 
 #### Writing tests
 
@@ -323,7 +323,7 @@ Performance matters and it is worth considering whether your code has introduced
 >
 > The asv benchmark suite was translated from the previous framework, vbench, so many stylistic issues are likely a result of automated transformation of the code.
 
-To use asv you will need either `conda` or `virtualenv`. For more details please check the [asv installation webpage](http://asv.readthedocs.org/en/latest/installing.html).
+To use asv you will need either `conda` or `virtualenv`. For more details please check the [asv installation webpage](https://asv.readthedocs.io/en/latest/installing.html).
 
 To install asv:
 
@@ -360,7 +360,7 @@ This command is equivalent to:
 
 This will launch every test only once, display stderr from the benchmarks, and use your local `python` that comes from your `$PATH`.
 
-Information on how to write a benchmark can be found in the [asv documentation](http://asv.readthedocs.org/en/latest/writing_benchmarks.html).
+Information on how to write a benchmark can be found in the [asv documentation](https://asv.readthedocs.io/en/latest/writing_benchmarks.html).
 
 #### Running the vbench performance test suite (phasing out)
 

diff --git a/ci/prep_cython_cache.sh b/ci/prep_cython_cache.sh
@@ -3,8 +3,8 @@
 ls "$HOME/.cache/"
 
 PYX_CACHE_DIR="$HOME/.cache/pyxfiles"
-pyx_file_list=`find ${TRAVIS_BUILD_DIR} -name "*.pyx"`
-pyx_cache_file_list=`find ${PYX_CACHE_DIR} -name "*.pyx"`
+pyx_file_list=`find ${TRAVIS_BUILD_DIR} -name "*.pyx" -o -name "*.pxd"`
+pyx_cache_file_list=`find ${PYX_CACHE_DIR} -name "*.pyx" -o -name "*.pxd"`
 
 CACHE_File="$HOME/.cache/cython_files.tar"
 

diff --git a/ci/submit_cython_cache.sh b/ci/submit_cython_cache.sh
@@ -2,7 +2,7 @@
 
 CACHE_File="$HOME/.cache/cython_files.tar"
 PYX_CACHE_DIR="$HOME/.cache/pyxfiles"
-pyx_file_list=`find ${TRAVIS_BUILD_DIR} -name "*.pyx"`
+pyx_file_list=`find ${TRAVIS_BUILD_DIR} -name "*.pyx" -o -name "*.pxd"`
 
 rm -rf $CACHE_File
 rm -rf $PYX_CACHE_DIR

diff --git a/doc/source/basics.rst b/doc/source/basics.rst
@@ -1794,18 +1794,18 @@ The following functions are available for one dimensional object arrays or scala
 
 - :meth:`~pandas.to_datetime` (conversion to datetime objects)
 
-   .. ipython:: python
+  .. ipython:: python
 
-      import datetime
-      m = ['2016-07-09', datetime.datetime(2016, 3, 2)]
-      pd.to_datetime(m)
+     import datetime
+     m = ['2016-07-09', datetime.datetime(2016, 3, 2)]
+     pd.to_datetime(m)
 
 - :meth:`~pandas.to_timedelta` (conversion to timedelta objects)
 
-   .. ipython:: python
+  .. ipython:: python
 
-      m = ['5us', pd.Timedelta('1day')]
-      pd.to_timedelta(m)
+     m = ['5us', pd.Timedelta('1day')]
+     pd.to_timedelta(m)
 
 To force a conversion, we can pass in an ``errors`` argument, which specifies how pandas should deal with elements
 that cannot be converted to desired dtype or object. By default, ``errors='raise'``, meaning that any errors encountered

diff --git a/doc/source/conf.py b/doc/source/conf.py
@@ -295,7 +295,7 @@
     'python': ('http://docs.python.org/3', None),
     'numpy': ('http://docs.scipy.org/doc/numpy', None),
     'scipy': ('http://docs.scipy.org/doc/scipy/reference', None),
-    'py': ('http://pylib.readthedocs.org/en/latest/', None)
+    'py': ('https://pylib.readthedocs.io/en/latest/', None)
 }
 import glob
 autosummary_generate = glob.glob("*.rst")

diff --git a/doc/source/contributing.rst b/doc/source/contributing.rst
@@ -360,7 +360,7 @@ follow the Numpy Docstring Standard (see above), but you don't need to install
 this because a local copy of numpydoc is included in the *pandas* source
 code.
 `nbconvert <https://nbconvert.readthedocs.io/en/latest/>`_ and
-`nbformat <http://nbformat.readthedocs.io/en/latest/>`_ are required to build
+`nbformat <https://nbformat.readthedocs.io/en/latest/>`_ are required to build
 the Jupyter notebooks included in the documentation.
 
 If you have a conda environment named ``pandas_dev``, you can install the extra
@@ -490,7 +490,7 @@ Adding tests is one of the most common requests after code is pushed to *pandas*
 it is worth getting in the habit of writing tests ahead of time so this is never an issue.
 
 Like many packages, *pandas* uses the `Nose testing system
-<http://nose.readthedocs.org/en/latest/index.html>`_ and the convenient
+<https://nose.readthedocs.io/en/latest/index.html>`_ and the convenient
 extensions in `numpy.testing
 <http://docs.scipy.org/doc/numpy/reference/routines.testing.html>`_.
 
@@ -569,7 +569,7 @@ supports both python2 and python3.
 
 To use all features of asv, you will need either ``conda`` or
 ``virtualenv``. For more details please check the `asv installation
-webpage <http://asv.readthedocs.org/en/latest/installing.html>`_.
+webpage <https://asv.readthedocs.io/en/latest/installing.html>`_.
 
 To install asv::
 
@@ -624,7 +624,7 @@ This will display stderr from the benchmarks, and use your local
 ``python`` that comes from your ``$PATH``.
 
 Information on how to write a benchmark and how to use asv can be found in the
-`asv documentation <http://asv.readthedocs.org/en/latest/writing_benchmarks.html>`_.
+`asv documentation <https://asv.readthedocs.io/en/latest/writing_benchmarks.html>`_.
 
 .. _contributing.gbq_integration_tests:
 

diff --git a/doc/source/cookbook.rst b/doc/source/cookbook.rst
@@ -877,7 +877,7 @@ The :ref:`Plotting <visualization>` docs.
 <http://stackoverflow.com/questions/17891493/annotating-points-from-a-pandas-dataframe-in-matplotlib-plot>`__
 
 `Generate Embedded plots in excel files using Pandas, Vincent and xlsxwriter
-<http://pandas-xlsxwriter-charts.readthedocs.org/en/latest/introduction.html>`__
+<https://pandas-xlsxwriter-charts.readthedocs.io/>`__
 
 `Boxplot for each quartile of a stratifying variable
 <http://stackoverflow.com/questions/23232989/boxplot-stratified-by-column-in-python-pandas>`__

diff --git a/doc/source/dsintro.rst b/doc/source/dsintro.rst
@@ -41,12 +41,6 @@ categories of functionality and methods in separate sections.
 Series
 ------
 
-.. warning::
-
-   In 0.13.0 ``Series`` has internally been refactored to no longer sub-class ``ndarray``
-   but instead subclass ``NDFrame``, similarly to the rest of the pandas containers. This should be
-   a transparent change with only very limited API implications (See the :ref:`Internal Refactoring<whatsnew_0130.refactoring>`)
-
 :class:`Series` is a one-dimensional labeled array capable of holding any data
 type (integers, strings, floating point numbers, Python objects, etc.). The axis
 labels are collectively referred to as the **index**. The basic method to create a Series is to call:

diff --git a/doc/source/ecosystem.rst b/doc/source/ecosystem.rst
@@ -145,7 +145,7 @@ API
 
 `pandas-datareader <https://github.com/pydata/pandas-datareader>`__
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-``pandas-datareader`` is a remote data access library for pandas. ``pandas.io`` from pandas < 0.17.0 is now refactored/split-off to and importable from ``pandas_datareader`` (PyPI:``pandas-datareader``). Many/most of the supported APIs have at least a documentation paragraph in the `pandas-datareader docs <https://pandas-datareader.readthedocs.org/en/latest/>`_:
+``pandas-datareader`` is a remote data access library for pandas. ``pandas.io`` from pandas < 0.17.0 is now refactored/split-off to and importable from ``pandas_datareader`` (PyPI:``pandas-datareader``). Many/most of the supported APIs have at least a documentation paragraph in the `pandas-datareader docs <https://pandas-datareader.readthedocs.io/en/latest/>`_:
 
 The following data feeds are available:
 
@@ -170,7 +170,7 @@ PyDatastream is a Python interface to the
 SOAP API to return indexed Pandas DataFrames or Panels with financial data.
 This package requires valid credentials for this API (non free).
 
-`pandaSDMX <http://pandasdmx.readthedocs.org>`__
+`pandaSDMX <https://pandasdmx.readthedocs.io>`__
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 pandaSDMX is an extensible library to retrieve and acquire statistical data
 and metadata disseminated in
@@ -215,7 +215,7 @@ dimensional arrays, rather than the tabular data for which pandas excels.
 Out-of-core
 -------------
 
-`Dask <https://dask.readthedocs.org/en/latest/>`__
+`Dask <https://dask.readthedocs.io/en/latest/>`__
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 Dask is a flexible parallel computing library for analytics. Dask

diff --git a/doc/source/install.rst b/doc/source/install.rst
@@ -189,7 +189,7 @@ pandas is equipped with an exhaustive set of unit tests covering about 97% of
 the codebase as of this writing. To run it on your machine to verify that
 everything is working (and you have all of the dependencies, soft and hard,
 installed), make sure you have `nose
-<http://readthedocs.org/docs/nose/en/latest/>`__ and run:
+<https://nose.readthedocs.io/en/latest/>`__ and run:
 
 ::
 

diff --git a/doc/source/io.rst b/doc/source/io.rst
@@ -1481,7 +1481,7 @@ function takes a number of arguments. Only the first is required.
   - ``encoding``: a string representing the encoding to use if the contents are
     non-ASCII, for python versions prior to 3
   - ``line_terminator``: Character sequence denoting line end (default '\\n')
-  - ``quoting``: Set quoting rules as in csv module (default csv.QUOTE_MINIMAL)
+  - ``quoting``: Set quoting rules as in csv module (default csv.QUOTE_MINIMAL). Note that if you have set a `float_format` then floats are converted to strings and csv.QUOTE_NONNUMERIC will treat them as non-numeric
   - ``quotechar``: Character used to quote fields (default '"')
   - ``doublequote``: Control quoting of ``quotechar`` in fields (default True)
   - ``escapechar``: Character used to escape ``sep`` and ``quotechar`` when
@@ -2639,8 +2639,8 @@ config options <options>` ``io.excel.xlsx.writer`` and
 ``io.excel.xls.writer``. pandas will fall back on `openpyxl`_ for ``.xlsx``
 files if `Xlsxwriter`_ is not available.
 
-.. _XlsxWriter: http://xlsxwriter.readthedocs.org
-.. _openpyxl: http://openpyxl.readthedocs.org/
+.. _XlsxWriter: https://xlsxwriter.readthedocs.io
+.. _openpyxl: https://openpyxl.readthedocs.io/
 .. _xlwt: http://www.python-excel.org
 
 To specify which writer you want to use, you can pass an engine keyword
@@ -2775,6 +2775,7 @@ both on the writing (serialization), and reading (deserialization).
    as an EXPERIMENTAL LIBRARY, the storage format may not be stable until a future release.
 
    As a result of writing format changes and other issues:
+
    +----------------------+------------------------+
    | Packed with          | Can be unpacked with   |
    +======================+========================+

diff --git a/doc/source/r_interface.rst b/doc/source/r_interface.rst
@@ -17,7 +17,7 @@ rpy2 / R interface
 
    In v0.16.0, the ``pandas.rpy`` interface has been **deprecated and will be
    removed in a future version**. Similar functionality can be accessed
-   through the `rpy2 <http://rpy2.readthedocs.io/>`__ project.
+   through the `rpy2 <https://rpy2.readthedocs.io/>`__ project.
    See the :ref:`updating <rpy.updating>` section for a guide to port your
    code from the ``pandas.rpy`` to ``rpy2`` functions.
 

diff --git a/doc/source/tutorials.rst b/doc/source/tutorials.rst
@@ -138,7 +138,7 @@ Modern Pandas
 Excel charts with pandas, vincent and xlsxwriter
 ------------------------------------------------
 
--  `Using Pandas and XlsxWriter to create Excel charts <http://pandas-xlsxwriter-charts.readthedocs.org/>`_
+-  `Using Pandas and XlsxWriter to create Excel charts <https://pandas-xlsxwriter-charts.readthedocs.io/>`_
 
 Various Tutorials
 -----------------

diff --git a/doc/source/whatsnew.rst b/doc/source/whatsnew.rst
@@ -18,6 +18,8 @@ What's New
 
 These are new features and improvements of note in each release.
 
+.. include:: whatsnew/v0.19.1.txt
+
 .. include:: whatsnew/v0.19.0.txt
 
 .. include:: whatsnew/v0.18.1.txt

diff --git a/doc/source/whatsnew/v0.14.0.txt b/doc/source/whatsnew/v0.14.0.txt
@@ -401,7 +401,7 @@ through SQLAlchemy (:issue:`2717`, :issue:`4163`, :issue:`5950`, :issue:`6292`).
 All databases supported by SQLAlchemy can be used, such
 as PostgreSQL, MySQL, Oracle, Microsoft SQL server (see documentation of
 SQLAlchemy on `included dialects
-<http://sqlalchemy.readthedocs.org/en/latest/dialects/index.html>`_).
+<https://sqlalchemy.readthedocs.io/en/latest/dialects/index.html>`_).
 
 The functionality of providing DBAPI connection objects will only be supported
 for sqlite3 in the future. The ``'mysql'`` flavor is deprecated.

diff --git a/doc/source/whatsnew/v0.17.0.txt b/doc/source/whatsnew/v0.17.0.txt
@@ -141,7 +141,7 @@ as well as the ``.sum()`` operation.
 
 Releasing of the GIL could benefit an application that uses threads for user interactions (e.g. QT_), or performing multi-threaded computations. A nice example of a library that can handle these types of computation-in-parallel is the dask_ library.
 
-.. _dask: https://dask.readthedocs.org/en/latest/
+.. _dask: https://dask.readthedocs.io/en/latest/
 .. _QT: https://wiki.python.org/moin/PyQt
 
 .. _whatsnew_0170.plot:

diff --git a/doc/source/whatsnew/v0.19.0.txt b/doc/source/whatsnew/v0.19.0.txt
@@ -1560,6 +1560,6 @@ Bug Fixes
 - Bug in ``.to_string()`` when called with an integer ``line_width`` and ``index=False`` raises an UnboundLocalError exception because ``idx`` referenced before assignment.
 - Bug in ``eval()`` where the ``resolvers`` argument would not accept a list (:issue:`14095`)
 - Bugs in ``stack``, ``get_dummies``, ``make_axis_dummies`` which don't preserve categorical dtypes in (multi)indexes (:issue:`13854`)
-- ``PeridIndex`` can now accept ``list`` and ``array`` which contains ``pd.NaT`` (:issue:`13430`)
+- ``PeriodIndex`` can now accept ``list`` and ``array`` which contains ``pd.NaT`` (:issue:`13430`)
 - Bug in ``df.groupby`` where ``.median()`` returns arbitrary values if grouped dataframe contains empty bins (:issue:`13629`)
 - Bug in ``Index.copy()`` where ``name`` parameter was ignored (:issue:`14302`)
diff --git a/doc/source/whatsnew/v0.19.1.txt b/doc/source/whatsnew/v0.19.1.txt
@@ -0,0 +1,48 @@
+.. _whatsnew_0191:
+
+v0.19.1 (????, 2016)
+---------------------
+
+This is a minor bug-fix release from 0.19.0 and includes a large number of
+bug fixes along with several new features, enhancements, and performance improvements.
+We recommend that all users upgrade to this version.
+
+Highlights include:
+
+
+.. contents:: What's new in v0.19.1
+    :local:
+    :backlinks: none
+
+
+.. _whatsnew_0191.performance:
+
+Performance Improvements
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+
+
+
+
+
+
+.. _whatsnew_0191.bug_fixes:
+
+Bug Fixes
+~~~~~~~~~
+
+
+
+
+- Bug in localizing an ambiguous timezone when a boolean is passed (:issue:`14402`)
+
+
+
+
+
+
+
+
+- Bug in ``pd.concat`` where names of the ``keys`` were not propagated to the resulting ``MultiIndex`` (:issue:`14252`)
+- Bug in ``MultiIndex.set_levels`` where illegal level values were still set after raising an error (:issue:`13754`)
+- Bug in ``asfreq``, where frequency wasn't set for empty Series (:issue:`14320`)
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
@@ -1345,7 +1345,9 @@ def to_csv(self, path_or_buf=None, sep=",", na_rep='', float_format=None,
             The newline character or character sequence to use in the output
             file
         quoting : optional constant from csv module
-            defaults to csv.QUOTE_MINIMAL
+            defaults to csv.QUOTE_MINIMAL. If you have set a `float_format`
+            then floats are comverted to strings and thus csv.QUOTE_NONNUMERIC
+            will treat them as non-numeric
         quotechar : string (length 1), default '\"'
             character used to quote fields
         doublequote : boolean, default True

diff --git a/pandas/indexes/multi.py b/pandas/indexes/multi.py
@@ -116,12 +116,27 @@ def __new__(cls, levels=None, labels=None, sortorder=None, names=None,
 
         return result
 
-    def _verify_integrity(self):
-        """Raises ValueError if length of levels and labels don't match or any
-        label would exceed level bounds"""
+    def _verify_integrity(self, labels=None, levels=None):
+        """
+
+        Parameters
+        ----------
+        labels : optional list
+            Labels to check for validity. Defaults to current labels.
+        levels : optional list
+            Levels to check for validity. Defaults to current levels.
+
+        Raises
+        ------
+        ValueError
+            * if length of levels and labels don't match or any label would
+            exceed level bounds
+        """
         # NOTE: Currently does not check, among other things, that cached
         # nlevels matches nor that sortorder matches actually sortorder.
-        labels, levels = self.labels, self.levels
+        labels = labels or self.labels
+        levels = levels or self.levels
+
         if len(levels) != len(labels):
             raise ValueError("Length of levels and labels must match. NOTE:"
                              " this index is in an inconsistent state.")
@@ -162,6 +177,9 @@ def _set_levels(self, levels, level=None, copy=False, validate=True,
                 new_levels[l] = _ensure_index(v, copy=copy)._shallow_copy()
             new_levels = FrozenList(new_levels)
 
+        if verify_integrity:
+            self._verify_integrity(levels=new_levels)
+
         names = self.names
         self._levels = new_levels
         if any(names):
@@ -170,9 +188,6 @@ def _set_levels(self, levels, level=None, copy=False, validate=True,
         self._tuples = None
         self._reset_cache()
 
-        if verify_integrity:
-            self._verify_integrity()
-
     def set_levels(self, levels, level=None, inplace=False,
                    verify_integrity=True):
         """
@@ -268,13 +283,13 @@ def _set_labels(self, labels, level=None, copy=False, validate=True,
                     lab, lev, copy=copy)._shallow_copy()
             new_labels = FrozenList(new_labels)
 
+        if verify_integrity:
+            self._verify_integrity(labels=new_labels)
+
         self._labels = new_labels
         self._tuples = None
         self._reset_cache()
 
-        if verify_integrity:
-            self._verify_integrity()
-
     def set_labels(self, labels, level=None, inplace=False,
                    verify_integrity=True):
         """