DOC: Remove repeated words and wrong /it's/ usage (#38047)

Author: eumiro

doc/source/development/policies.rst

@@ -35,7 +35,7 @@ We will not introduce new deprecations in patch releases.
 Deprecations will only be enforced in **major** releases. For example, if a
 behavior is deprecated in pandas 1.2.0, it will continue to work, with a
 warning, for all releases in the 1.x series. The behavior will change and the
-deprecation removed in the next next major release (2.0.0).
+deprecation removed in the next major release (2.0.0).
 
 .. note::
 

doc/source/user_guide/dsintro.rst

@@ -439,7 +439,7 @@ Data Classes as introduced in `PEP557 <https://www.python.org/dev/peps/pep-0557>
 can be passed into the DataFrame constructor.
 Passing a list of dataclasses is equivalent to passing a list of dictionaries.
 
-Please be aware, that that all values in the list should be dataclasses, mixing
+Please be aware, that all values in the list should be dataclasses, mixing
 types in the list would result in a TypeError.
 
 .. ipython:: python

doc/source/user_guide/integer_na.rst

@@ -117,7 +117,7 @@ dtype if needed.
    # coerce when needed
    s + 0.01
 
-These dtypes can operate as part of of ``DataFrame``.
+These dtypes can operate as part of ``DataFrame``.
 
 .. ipython:: python
 

doc/source/whatsnew/v0.12.0.rst

@@ -419,7 +419,7 @@ Bug fixes
 ~~~~~~~~~
 
   - Plotting functions now raise a ``TypeError`` before trying to plot anything
-    if the associated objects have have a dtype of ``object`` (:issue:`1818`,
+    if the associated objects have a dtype of ``object`` (:issue:`1818`,
     :issue:`3572`, :issue:`3911`, :issue:`3912`), but they will try to convert object arrays to
     numeric arrays if possible so that you can still plot, for example, an
     object array with floats. This happens before any drawing takes place which
@@ -430,8 +430,8 @@ Bug fixes
 
   - ``Series.str`` now supports iteration (:issue:`3638`). You can iterate over the
     individual elements of each string in the ``Series``. Each iteration yields
-    yields a ``Series`` with either a single character at each index of the
-    original ``Series`` or ``NaN``. For example,
+    a ``Series`` with either a single character at each index of the original
+    ``Series`` or ``NaN``. For example,
 
     .. ipython:: python
         :okwarning:

doc/source/whatsnew/v0.14.0.rst

@@ -923,7 +923,7 @@ Bug fixes
 - ``HDFStore.select_as_multiple`` handles start and stop the same way as ``select`` (:issue:`6177`)
 - ``HDFStore.select_as_coordinates`` and ``select_column`` works with a ``where`` clause that results in filters (:issue:`6177`)
 - Regression in join of non_unique_indexes (:issue:`6329`)
-- Issue with groupby ``agg`` with a single function and a a mixed-type frame (:issue:`6337`)
+- Issue with groupby ``agg`` with a single function and a mixed-type frame (:issue:`6337`)
 - Bug in ``DataFrame.replace()`` when passing a non- ``bool``
   ``to_replace`` argument (:issue:`6332`)
 - Raise when trying to align on different levels of a MultiIndex assignment (:issue:`3738`)

doc/source/whatsnew/v0.15.2.rst

@@ -136,7 +136,7 @@ Enhancements
 
 - Added ability to export Categorical data to Stata (:issue:`8633`).  See :ref:`here <io.stata-categorical>` for limitations of categorical variables exported to Stata data files.
 - Added flag ``order_categoricals`` to ``StataReader`` and ``read_stata`` to select whether to order imported categorical data (:issue:`8836`).  See :ref:`here <io.stata-categorical>` for more information on importing categorical variables from Stata data files.
-- Added ability to export Categorical data to to/from HDF5 (:issue:`7621`). Queries work the same as if it was an object array. However, the ``category`` dtyped data is stored in a more efficient manner. See :ref:`here <io.hdf5-categorical>` for an example and caveats w.r.t. prior versions of pandas.
+- Added ability to export Categorical data to/from HDF5 (:issue:`7621`). Queries work the same as if it was an object array. However, the ``category`` dtyped data is stored in a more efficient manner. See :ref:`here <io.hdf5-categorical>` for an example and caveats w.r.t. prior versions of pandas.
 - Added support for ``searchsorted()`` on ``Categorical`` class (:issue:`8420`).
 
 Other enhancements:

doc/source/whatsnew/v0.16.1.rst

@@ -6,7 +6,7 @@ Version 0.16.1 (May 11, 2015)
 {{ header }}
 
 
-This is a minor bug-fix release from 0.16.0 and includes a a large number of
+This is a minor bug-fix release from 0.16.0 and includes a large number of
 bug fixes along several new features, enhancements, and performance improvements.
 We recommend that all users upgrade to this version.
 
@@ -72,7 +72,7 @@ setting the index of a ``DataFrame/Series`` with a ``category`` dtype would conv
     Out[4]: Index(['c', 'a', 'b'], dtype='object')
 
 
-setting the index, will create create a ``CategoricalIndex``
+setting the index, will create a ``CategoricalIndex``
 
 .. code-block:: ipython
 

doc/source/whatsnew/v0.16.2.rst

@@ -6,7 +6,7 @@ Version 0.16.2 (June 12, 2015)
 {{ header }}
 
 
-This is a minor bug-fix release from 0.16.1 and includes a a large number of
+This is a minor bug-fix release from 0.16.1 and includes a large number of
 bug fixes along some new features (:meth:`~DataFrame.pipe` method), enhancements, and performance improvements.
 
 We recommend that all users upgrade to this version.

doc/source/whatsnew/v0.18.0.rst

@@ -610,7 +610,7 @@ Subtraction by ``Timedelta`` in a ``Series`` by a ``Timestamp`` works (:issue:`1
    pd.Timestamp('2012-01-01') - ser
 
 
-``NaT.isoformat()`` now returns ``'NaT'``. This change allows allows
+``NaT.isoformat()`` now returns ``'NaT'``. This change allows
 ``pd.Timestamp`` to rehydrate any timestamp like object from its isoformat
 (:issue:`12300`).
 

doc/source/whatsnew/v0.20.0.rst

@@ -1167,7 +1167,7 @@ Other API changes
 - ``.loc`` has compat with ``.ix`` for accepting iterators, and NamedTuples (:issue:`15120`)
 - ``interpolate()`` and ``fillna()`` will raise a ``ValueError`` if the ``limit`` keyword argument is not greater than 0. (:issue:`9217`)
 - ``pd.read_csv()`` will now issue a ``ParserWarning`` whenever there are conflicting values provided by the ``dialect`` parameter and the user (:issue:`14898`)
-- ``pd.read_csv()`` will now raise a ``ValueError`` for the C engine if the quote character is larger than than one byte (:issue:`11592`)
+- ``pd.read_csv()`` will now raise a ``ValueError`` for the C engine if the quote character is larger than one byte (:issue:`11592`)
 - ``inplace`` arguments now require a boolean value, else a ``ValueError`` is thrown (:issue:`14189`)
 - ``pandas.api.types.is_datetime64_ns_dtype`` will now report ``True`` on a tz-aware dtype, similar to ``pandas.api.types.is_datetime64_any_dtype``
 - ``DataFrame.asof()`` will return a null filled ``Series`` instead the scalar ``NaN`` if a match is not found (:issue:`15118`)
@@ -1663,11 +1663,11 @@ Indexing
 - Bug in ``.reset_index()`` when an all ``NaN`` level of a ``MultiIndex`` would fail (:issue:`6322`)
 - Bug in ``.reset_index()`` when raising error for index name already present in ``MultiIndex`` columns (:issue:`16120`)
 - Bug in creating a ``MultiIndex`` with tuples and not passing a list of names; this will now raise ``ValueError`` (:issue:`15110`)
-- Bug in the HTML display with with a ``MultiIndex`` and truncation (:issue:`14882`)
+- Bug in the HTML display with a ``MultiIndex`` and truncation (:issue:`14882`)
 - Bug in the display of ``.info()`` where a qualifier (+) would always be displayed with a ``MultiIndex`` that contains only non-strings (:issue:`15245`)
 - Bug in ``pd.concat()`` where the names of ``MultiIndex`` of resulting ``DataFrame`` are not handled correctly when ``None`` is presented in the names of ``MultiIndex`` of input ``DataFrame`` (:issue:`15787`)
 - Bug in ``DataFrame.sort_index()`` and ``Series.sort_index()`` where ``na_position`` doesn't work with a ``MultiIndex`` (:issue:`14784`, :issue:`16604`)
-- Bug in in ``pd.concat()`` when combining objects with a ``CategoricalIndex`` (:issue:`16111`)
+- Bug in ``pd.concat()`` when combining objects with a ``CategoricalIndex`` (:issue:`16111`)
 - Bug in indexing with a scalar and a ``CategoricalIndex`` (:issue:`16123`)
 
 IO