DOC: Fixes dangling parenthesis in .rst files (pandas-dev#61501)

Author: mattpopovich

doc/source/development/contributing_environment.rst

@@ -251,7 +251,7 @@ This option allows you to configure where meson stores your built C extensions,
 Sometimes, it might be useful to compile pandas with debugging symbols, when debugging C extensions.
 Appending ``-Csetup-args="-Ddebug=true"`` will do the trick.
 
-With pip, it is possible to chain together multiple config settings (for example specifying both a build directory
+With pip, it is possible to chain together multiple config settings. For example, specifying both a build directory
 and building with debug symbols would look like
 ``-Cbuilddir="your builddir here" -Csetup-args="-Dbuildtype=debug"``.
 

doc/source/user_guide/indexing.rst

@@ -325,7 +325,7 @@ The ``.loc`` attribute is the primary access method. The following are valid inp
 
 * A single label, e.g. ``5`` or ``'a'`` (Note that ``5`` is interpreted as a *label* of the index. This use is **not** an integer position along the index.).
 * A list or array of labels ``['a', 'b', 'c']``.
-* A slice object with labels ``'a':'f'`` (Note that contrary to usual Python
+* A slice object with labels ``'a':'f'``. Note that contrary to usual Python
   slices, **both** the start and the stop are included, when present in the
   index! See :ref:`Slicing with labels <indexing.slicing_with_labels>`.
 * A boolean array.

doc/source/user_guide/io.rst

@@ -1415,7 +1415,7 @@ of multi-columns indices.
 
 .. note::
    If an ``index_col`` is not specified (e.g. you don't have an index, or wrote it
-   with ``df.to_csv(..., index=False)``, then any ``names`` on the columns index will
+   with ``df.to_csv(..., index=False)``), then any ``names`` on the columns index will
    be *lost*.
 
 .. ipython:: python

doc/source/user_guide/timeseries.rst

@@ -2458,7 +2458,7 @@ you can use the ``tz_convert`` method.
 
     For ``pytz`` time zones, it is incorrect to pass a time zone object directly into
     the ``datetime.datetime`` constructor
-    (e.g., ``datetime.datetime(2011, 1, 1, tzinfo=pytz.timezone('US/Eastern'))``.
+    (e.g., ``datetime.datetime(2011, 1, 1, tzinfo=pytz.timezone('US/Eastern'))``).
     Instead, the datetime needs to be localized using the ``localize`` method
     on the ``pytz`` time zone object.
 

doc/source/whatsnew/v0.11.0.rst

@@ -70,7 +70,7 @@ See the section :ref:`Selection by Position <indexing.integer>` for substitutes.
 Dtypes
 ~~~~~~
 
-Numeric dtypes will propagate and can coexist in DataFrames. If a dtype is passed (either directly via the ``dtype`` keyword, a passed ``ndarray``, or a passed ``Series``, then it will be preserved in DataFrame operations. Furthermore, different numeric dtypes will **NOT** be combined. The following example will give you a taste.
+Numeric dtypes will propagate and can coexist in DataFrames. If a dtype is passed (either directly via the ``dtype`` keyword, a passed ``ndarray``, or a passed ``Series``), then it will be preserved in DataFrame operations. Furthermore, different numeric dtypes will **NOT** be combined. The following example will give you a taste.
 
 .. ipython:: python
 

doc/source/whatsnew/v0.12.0.rst

@@ -245,7 +245,7 @@ IO enhancements
       format. (:issue:`3571`, :issue:`1651`, :issue:`3141`)
 
     - If an ``index_col`` is not specified (e.g. you don't have an index, or wrote it
-      with ``df.to_csv(..., index=False``), then any ``names`` on the columns index will
+      with ``df.to_csv(..., index=False)``), then any ``names`` on the columns index will
       be *lost*.
 
       .. ipython:: python

doc/source/whatsnew/v0.16.1.rst

@@ -353,7 +353,7 @@ Deprecations
 Index representation
 ~~~~~~~~~~~~~~~~~~~~
 
-The string representation of ``Index`` and its sub-classes have now been unified. These will show a single-line display if there are few values; a wrapped multi-line display for a lot of values (but less than ``display.max_seq_items``; if lots of items (> ``display.max_seq_items``) will show a truncated display (the head and tail of the data). The formatting for ``MultiIndex`` is unchanged (a multi-line wrapped display). The display width responds to the option ``display.max_seq_items``, which is defaulted to 100. (:issue:`6482`)
+The string representation of ``Index`` and its sub-classes have now been unified. These will show a single-line display if there are few values; a wrapped multi-line display for a lot of values (but less than ``display.max_seq_items``); if lots of items (> ``display.max_seq_items``) will show a truncated display (the head and tail of the data). The formatting for ``MultiIndex`` is unchanged (a multi-line wrapped display). The display width responds to the option ``display.max_seq_items``, which is defaulted to 100. (:issue:`6482`)
 
 Previous behavior
 

doc/source/whatsnew/v0.19.0.rst

@@ -1547,7 +1547,7 @@ Bug fixes
 - Bug in checking for any null objects in a ``TimedeltaIndex``, which always returned ``True`` (:issue:`13603`)
 - Bug in ``Series`` arithmetic raises ``TypeError`` if it contains datetime-like as ``object`` dtype (:issue:`13043`)
 - Bug ``Series.isnull()`` and ``Series.notnull()`` ignore ``Period('NaT')``  (:issue:`13737`)
-- Bug ``Series.fillna()`` and ``Series.dropna()`` don't affect to ``Period('NaT')``  (:issue:`13737`
+- Bug ``Series.fillna()`` and ``Series.dropna()`` don't affect to ``Period('NaT')``  (:issue:`13737`)
 - Bug in ``.fillna(value=np.nan)`` incorrectly raises ``KeyError`` on a ``category`` dtyped ``Series`` (:issue:`14021`)
 - Bug in extension dtype creation where the created types were not is/identical (:issue:`13285`)
 - Bug in ``.resample(..)`` where incorrect warnings were triggered by IPython introspection (:issue:`13618`)

doc/source/whatsnew/v0.24.0.rst

@@ -1019,7 +1019,7 @@ operations has been changed to match the arithmetic operations in these cases.
 The affected cases are:
 
 - operating against a 2-dimensional ``np.ndarray`` with either 1 row or 1 column will now broadcast the same way a ``np.ndarray`` would (:issue:`23000`).
-- a list or tuple with length matching the number of rows in the :class:`DataFrame` will now raise ``ValueError`` instead of operating column-by-column (:issue:`22880`.
+- a list or tuple with length matching the number of rows in the :class:`DataFrame` will now raise ``ValueError`` instead of operating column-by-column (:issue:`22880`).
 - a list or tuple with length matching the number of columns in the :class:`DataFrame` will now operate row-by-row instead of raising ``ValueError`` (:issue:`22880`).
 
 .. ipython:: python
@@ -1556,7 +1556,7 @@ Performance improvements
   (i.e. ``x in cat``-style checks are much faster). :meth:`CategoricalIndex.contains`
   is likewise much faster (:issue:`21369`, :issue:`21508`)
 - Improved performance of :meth:`HDFStore.groups` (and dependent functions like
-  :meth:`HDFStore.keys`.  (i.e. ``x in store`` checks are much faster)
+  :meth:`HDFStore.keys` (i.e. ``x in store`` checks) are much faster)
   (:issue:`21372`)
 - Improved the performance of :func:`pandas.get_dummies` with ``sparse=True`` (:issue:`21997`)
 - Improved performance of :func:`IndexEngine.get_indexer_non_unique` for sorted, non-unique indexes (:issue:`9466`)

doc/source/whatsnew/v1.2.0.rst

@@ -793,7 +793,7 @@ Groupby/resample/rolling
 - Bug in :meth:`DataFrame.resample` that would throw a ``ValueError`` when resampling from ``"D"`` to ``"24H"`` over a transition into daylight savings time (DST) (:issue:`35219`)
 - Bug when combining methods :meth:`DataFrame.groupby` with :meth:`DataFrame.resample` and :meth:`DataFrame.interpolate` raising a ``TypeError`` (:issue:`35325`)
 - Bug in :meth:`.DataFrameGroupBy.apply` where a non-nuisance grouping column would be dropped from the output columns if another groupby method was called before ``.apply`` (:issue:`34656`)
-- Bug when subsetting columns on a :class:`.DataFrameGroupBy` (e.g. ``df.groupby('a')[['b']])``) would reset the attributes ``axis``, ``dropna``, ``group_keys``, ``level``, ``mutated``, ``sort``, and ``squeeze`` to their default values (:issue:`9959`)
+- Bug when subsetting columns on a :class:`.DataFrameGroupBy` (e.g. ``df.groupby('a')[['b']]``) would reset the attributes ``axis``, ``dropna``, ``group_keys``, ``level``, ``mutated``, ``sort``, and ``squeeze`` to their default values (:issue:`9959`)
 - Bug in :meth:`.DataFrameGroupBy.tshift` failing to raise ``ValueError`` when a frequency cannot be inferred for the index of a group (:issue:`35937`)
 - Bug in :meth:`DataFrame.groupby` does not always maintain column index name for ``any``, ``all``, ``bfill``, ``ffill``, ``shift`` (:issue:`29764`)
 - Bug in :meth:`.DataFrameGroupBy.apply` raising error with ``np.nan`` group(s) when ``dropna=False`` (:issue:`35889`)