DOC: Fix heading capitalization in doc/source/whatsnew - part5 (#32550)

doc/source/whatsnew/v0.18.0.rst

@@ -1,7 +1,7 @@
 .. _whatsnew_0180:
 
-v0.18.0 (March 13, 2016)
-------------------------
+Version 0.18.0 (March 13, 2016)
+-------------------------------
 
 {{ header }}
 
@@ -145,7 +145,7 @@ This continues to work as before for function or dict-like values.
 
 .. _whatsnew_0180.enhancements.rangeindex:
 
-Range index
+Range Index
 ^^^^^^^^^^^
 
 A ``RangeIndex`` has been added to the ``Int64Index`` sub-classes to support a memory saving alternative for common use cases. This has a similar implementation to the python ``range`` object (``xrange`` in python 2), in that it only stores the start, stop, and step values for the index. It will transparently interact with the user API, converting to ``Int64Index`` if needed.
@@ -456,8 +456,8 @@ New behavior:
 
 .. _whatsnew_0180.enhancements.xarray:
 
-to_xarray
-^^^^^^^^^
+Method to_xarray
+^^^^^^^^^^^^^^^^
 
 In a future version of pandas, we will be deprecating ``Panel`` and other > 2 ndim objects. In order to provide for continuity,
 all ``NDFrame`` objects have gained the ``.to_xarray()`` method in order to convert to ``xarray`` objects, which has

doc/source/whatsnew/v0.18.1.rst

@@ -1,7 +1,7 @@
 .. _whatsnew_0181:
 
-v0.18.1 (May 3, 2016)
----------------------
+Version 0.18.1 (May 3, 2016)
+----------------------------
 
 {{ header }}
 
@@ -61,8 +61,8 @@ Tuesday after MLK Day (Monday is skipped because it's a holiday)
 
 .. _whatsnew_0181.deferred_ops:
 
-``.groupby(..)`` syntax with window and resample operations
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Method ``.GroupBy(..)`` syntax with window and resample operations
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 ``.groupby(...)`` has been enhanced to provide convenient syntax when working with ``.rolling(..)``, ``.expanding(..)`` and ``.resample(..)`` per group, see (:issue:`12486`, :issue:`12738`).
 
@@ -111,7 +111,7 @@ Now you can do:
 .. _whatsnew_0181.enhancements.method_chain:
 
 Method chaining improvements
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 The following methods / indexers now accept a ``callable``. It is intended to make
 these more useful in method chains, see the :ref:`documentation <indexing.callable>`.
@@ -121,8 +121,8 @@ these more useful in method chains, see the :ref:`documentation <indexing.callab
 - ``.loc[]``, ``iloc[]`` and ``.ix[]``
 - ``[]`` indexing
 
-``.where()`` and ``.mask()``
-""""""""""""""""""""""""""""
+Methods ``.where()`` and ``.mask()``
+""""""""""""""""""""""""""""""""""""
 
 These can accept a callable for the condition and ``other``
 arguments.
@@ -134,8 +134,8 @@ arguments.
                       'C': [7, 8, 9]})
    df.where(lambda x: x > 4, lambda x: x + 10)
 
-``.loc[]``, ``.iloc[]``, ``.ix[]``
-""""""""""""""""""""""""""""""""""
+Methods ``.loc[]``, ``.iloc[]``, ``.ix[]``
+""""""""""""""""""""""""""""""""""""""""""
 
 These can accept a callable, and a tuple of callable as a slicer. The callable
 can return a valid boolean indexer or anything which is valid for these indexer's input.
@@ -148,8 +148,8 @@ can return a valid boolean indexer or anything which is valid for these indexer'
    # callable returns list of labels
    df.loc[lambda x: [1, 2], lambda x: ['A', 'B']]
 
-``[]`` indexing
-"""""""""""""""
+Indexing with``[]``
+"""""""""""""""""""
 
 Finally, you can use a callable in ``[]`` indexing of Series, DataFrame and Panel.
 The callable must return a valid input for ``[]`` indexing depending on its
@@ -171,7 +171,7 @@ without using temporary variable.
 
 .. _whatsnew_0181.partial_string_indexing:
 
-Partial string indexing on ``DateTimeIndex`` when part of a ``MultiIndex``
+Partial string indexing on ``DatetimeIndex`` when part of a ``MultiIndex``
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 Partial string indexing now matches on ``DateTimeIndex`` when part of a ``MultiIndex`` (:issue:`10331`)
@@ -306,8 +306,8 @@ API changes
 
 .. _whatsnew_0181.api.groubynth:
 
-``.groupby(..).nth()`` changes
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Method ``.GroupBy(..).nth()`` changes
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 The index in ``.groupby(..).nth()`` output is now more consistent when the ``as_index`` argument is passed (:issue:`11039`):
 
@@ -414,7 +414,7 @@ New behaviour:
 
 .. _whatsnew_0181.apply_resample:
 
-Using ``.apply`` on groupby resampling
+Using ``.apply`` on GroupBy resampling
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 Using ``apply`` on resampling groupby operations (using a ``pd.TimeGrouper``) now has the same output types as similar ``apply`` calls on other groupby operations. (:issue:`11742`).
@@ -513,8 +513,8 @@ In addition to this error change, several others have been made as well:
 
 .. _whatsnew_0181.api.to_datetime:
 
-``to_datetime`` error changes
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Method ``to_datetime`` error changes
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 Bugs in ``pd.to_datetime()`` when passing a ``unit`` with convertible entries and ``errors='coerce'`` or non-convertible with ``errors='ignore'``. Furthermore, an ``OutOfBoundsDateime`` exception will be raised when an out-of-range value is encountered for that unit when ``errors='raise'``. (:issue:`11758`, :issue:`13052`, :issue:`13059`)
 

doc/source/whatsnew/v0.19.0.rst

@@ -1,7 +1,7 @@
 .. _whatsnew_0190:
 
-v0.19.0 (October 2, 2016)
--------------------------
+Version 0.19.0 (October 2, 2016)
+--------------------------------
 
 {{ header }}
 
@@ -37,8 +37,8 @@ New features
 
 .. _whatsnew_0190.enhancements.asof_merge:
 
-``merge_asof`` for asof-style time-series joining
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Function ``merge_asof`` for asof-style time-Series joining
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 A long-time requested feature has been added through the :func:`merge_asof` function, to
 support asof style joining of time-series (:issue:`1870`, :issue:`13695`, :issue:`13709`, :issue:`13902`). Full documentation is
@@ -127,8 +127,8 @@ passed DataFrame (``trades`` in this case), with the fields of the ``quotes`` me
 
 .. _whatsnew_0190.enhancements.rolling_ts:
 
-``.rolling()`` is now time-series aware
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Method ``.rolling()`` is now time-Series aware
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 ``.rolling()`` objects are now time-series aware and can accept a time-series offset (or convertible) for the ``window`` argument (:issue:`13327`, :issue:`12995`).
 See the full documentation :ref:`here <stats.moments.ts>`.
@@ -186,8 +186,8 @@ default of the index) in a DataFrame.
 
 .. _whatsnew_0190.enhancements.read_csv_dupe_col_names_support:
 
-``read_csv`` has improved support for duplicate column names
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Method ``read_csv`` has improved support for duplicate column names
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 .. ipython:: python
    :suppress:
@@ -225,8 +225,8 @@ contained the values ``[0, 3]``.
 
 .. _whatsnew_0190.enhancements.read_csv_categorical:
 
-``read_csv`` supports parsing ``Categorical`` directly
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Method ``read_csv`` supports parsing ``Categorical`` directly
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 The :func:`read_csv` function now supports parsing a ``Categorical`` column when
 specified as a dtype (:issue:`10153`).  Depending on the structure of the data,
@@ -394,8 +394,8 @@ After upgrading pandas, you may see *new* ``RuntimeWarnings`` being issued from
 
 .. _whatsnew_0190.get_dummies_dtypes:
 
-``get_dummies`` now returns integer dtypes
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Method ``get_dummies`` now returns integer dtypes
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 The ``pd.get_dummies`` function now returns dummy-encoded columns as small integers, rather than floats (:issue:`8725`). This should provide an improved memory footprint.
 
@@ -731,8 +731,8 @@ A ``Series`` will now correctly promote its dtype for assignment with incompat v
 
 .. _whatsnew_0190.api.to_datetime_coerce:
 
-``.to_datetime()`` changes
-^^^^^^^^^^^^^^^^^^^^^^^^^^
+Function ``.to_datetime()`` changes
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 Previously if ``.to_datetime()`` encountered mixed integers/floats and strings, but no datetimes with ``errors='coerce'`` it would convert all to ``NaT``.
 
@@ -809,8 +809,8 @@ resulting dtype will be upcast, which is unchanged from previous.
 
 .. _whatsnew_0190.api.describe:
 
-``.describe()`` changes
-^^^^^^^^^^^^^^^^^^^^^^^
+Method ``.describe()`` changes
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 Percentile identifiers in the index of a ``.describe()`` output will now be rounded to the least precision that keeps them distinct (:issue:`13104`)
 
@@ -863,8 +863,8 @@ Furthermore:
 ``Period`` changes
 ^^^^^^^^^^^^^^^^^^
 
-``PeriodIndex`` now has ``period`` dtype
-""""""""""""""""""""""""""""""""""""""""
+The ``PeriodIndex`` now has ``Period`` dtype
+""""""""""""""""""""""""""""""""""""""""""""
 
 ``PeriodIndex`` now has its own ``period`` dtype. The ``period`` dtype is a
 pandas extension dtype like ``category`` or the :ref:`timezone aware dtype <timeseries.timezone_series>` (``datetime64[ns, tz]``) (:issue:`13941`).
@@ -1078,7 +1078,7 @@ Previously, most ``Index`` classes returned ``np.ndarray``, and ``DatetimeIndex`
 
 .. _whatsnew_0190.api.multiindex:
 
-``MultiIndex`` constructors, ``groupby`` and ``set_index`` preserve categorical dtypes
+``MultiIndex`` constructors, ``GroupBy`` and ``set_index`` preserve Categorical dtypes
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 ``MultiIndex.from_arrays`` and ``MultiIndex.from_product`` will now preserve categorical dtype
@@ -1151,8 +1151,8 @@ As a consequence, ``groupby`` and ``set_index`` also preserve categorical dtypes
 
 .. _whatsnew_0190.api.autogenerated_chunksize_index:
 
-``read_csv`` will progressively enumerate chunks
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Function ``read_csv`` will progressively enumerate chunks
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 When :func:`read_csv` is called with ``chunksize=n`` and without specifying an index,
 each chunk used to have an independently generated index from ``0`` to ``n-1``.
@@ -1190,8 +1190,8 @@ Sparse changes
 
 These changes allow pandas to handle sparse data with more dtypes, and for work to make a smoother experience with data handling.
 
-``int64`` and ``bool`` support enhancements
-"""""""""""""""""""""""""""""""""""""""""""
+Types ``int64`` and ``bool`` support enhancements
+"""""""""""""""""""""""""""""""""""""""""""""""""
 
 Sparse data structures now gained enhanced support of ``int64`` and ``bool`` ``dtype`` (:issue:`667`, :issue:`13849`).
 

doc/source/whatsnew/v0.19.1.rst

@@ -1,7 +1,7 @@
 .. _whatsnew_0191:
 
-v0.19.1 (November 3, 2016)
---------------------------
+Version 0.19.1 (November 3, 2016)
+---------------------------------
 
 {{ header }}
 

doc/source/whatsnew/v0.19.2.rst

@@ -1,7 +1,7 @@
 .. _whatsnew_0192:
 
-v0.19.2 (December 24, 2016)
----------------------------
+Version 0.19.2 (December 24, 2016)
+----------------------------------
 
 {{ header }}
 

doc/source/whatsnew/v0.20.0.rst

@@ -1,7 +1,7 @@
 .. _whatsnew_0200:
 
-v0.20.1 (May 5, 2017)
----------------------
+Version 0.20.1 (May 5, 2017)
+----------------------------
 
 {{ header }}
 
@@ -47,8 +47,8 @@ New features
 
 .. _whatsnew_0200.enhancements.agg:
 
-``agg`` API for DataFrame/Series
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Method ``agg`` API for DataFrame/Series
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 Series & DataFrame have been enhanced to support the aggregation API. This is a familiar API
 from groupby, window operations, and resampling. This allows aggregation operations in a concise way
@@ -110,8 +110,8 @@ aggregations. This is similar to how groupby ``.agg()`` works. (:issue:`15015`)
 
 .. _whatsnew_0200.enhancements.dataio_dtype:
 
-``dtype`` keyword for data IO
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Keyword argument ``dtype`` for data IO
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 The ``'python'`` engine for :func:`read_csv`, as well as the :func:`read_fwf` function for parsing
 fixed-width text files and :func:`read_excel` for parsing Excel files, now accept the ``dtype`` keyword argument for specifying the types of specific columns (:issue:`14295`). See the :ref:`io docs <io.dtypes>` for more information.
@@ -129,8 +129,8 @@ fixed-width text files and :func:`read_excel` for parsing Excel files, now accep
 
 .. _whatsnew_0120.enhancements.datetime_origin:
 
-``.to_datetime()`` has gained an ``origin`` parameter
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Method ``.to_datetime()`` has gained an ``origin`` parameter
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 :func:`to_datetime` has gained a new parameter, ``origin``, to define a reference date
 from where to compute the resulting timestamps when parsing numerical values with a specific ``unit`` specified. (:issue:`11276`, :issue:`11745`)
@@ -151,7 +151,7 @@ commonly called 'unix epoch' or POSIX time. This was the previous default, so th
 
 .. _whatsnew_0200.enhancements.groupby_access:
 
-Groupby enhancements
+GroupBy enhancements
 ^^^^^^^^^^^^^^^^^^^^
 
 Strings passed to ``DataFrame.groupby()`` as the ``by`` parameter may now reference either column names or index level names. Previously, only column names could be referenced. This allows to easily group by a column and index level at the same time. (:issue:`5677`)
@@ -197,8 +197,8 @@ support for bz2 compression in the python 2 C-engine improved (:issue:`14874`).
 
 .. _whatsnew_0200.enhancements.pickle_compression:
 
-Pickle file I/O now supports compression
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Pickle file IO now supports compression
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 :func:`read_pickle`, :meth:`DataFrame.to_pickle` and :meth:`Series.to_pickle`
 can now read from and write to compressed pickle files. Compression methods
@@ -356,7 +356,7 @@ To convert a ``SparseDataFrame`` back to sparse SciPy matrix in COO format, you
 
 .. _whatsnew_0200.enhancements.style_excel:
 
-Excel output for styled dataframes
+Excel output for styled DataFrames
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 Experimental support has been added to export ``DataFrame.style`` formats to Excel using the ``openpyxl`` engine. (:issue:`15530`)
@@ -928,7 +928,7 @@ New behavior:
 
 .. _whatsnew_0200.api_breaking.groupby_describe:
 
-Groupby describe formatting
+GroupBy describe formatting
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 The output formatting of ``groupby.describe()`` now labels the ``describe()`` metrics in the columns instead of the index.
@@ -1420,7 +1420,7 @@ Convert to an xarray DataArray
 
 .. _whatsnew_0200.api_breaking.deprecate_group_agg_dict:
 
-Deprecate groupby.agg() with a dictionary when renaming
+Deprecate GroupBy.agg() with a dictionary when renaming
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 The ``.groupby(..).agg(..)``, ``.rolling(..).agg(..)``, and ``.resample(..).agg(..)``  syntax can accept a variable of inputs, including scalars,
@@ -1670,8 +1670,8 @@ Indexing
 - Bug in in ``pd.concat()`` when combining objects with a ``CategoricalIndex`` (:issue:`16111`)
 - Bug in indexing with a scalar and a ``CategoricalIndex`` (:issue:`16123`)
 
-I/O
-^^^
+IO
+^^
 
 - Bug in ``pd.to_numeric()`` in which float and unsigned integer elements were being improperly casted (:issue:`14941`, :issue:`15005`)
 - Bug in ``pd.read_fwf()`` where the skiprows parameter was not being respected during column width inference (:issue:`11256`)
@@ -1712,7 +1712,7 @@ Plotting
 - Bug in the date and time converters pandas registers with matplotlib not handling multiple dimensions (:issue:`16026`)
 - Bug in ``pd.scatter_matrix()`` could accept either ``color`` or ``c``, but not both (:issue:`14855`)
 
-Groupby/resample/rolling
+GroupBy/resample/rolling
 ^^^^^^^^^^^^^^^^^^^^^^^^
 
 - Bug in ``.groupby(..).resample()`` when passed the ``on=`` kwarg. (:issue:`15021`)