STYLE: Pandas codespell fix for documentation (pandas-dev#40280)

* STYLE: Extending codespell to docs

* DOC: small fix in documentation

.pre-commit-config.yaml

@@ -15,7 +15,7 @@ repos:
     hooks:
     -   id: codespell
         types_or: [python, rst, markdown]
-        files: ^pandas/
+        files: ^(pandas|doc)/
         exclude: ^pandas/tests/
 -   repo: https://github.com/pre-commit/pre-commit-hooks
     rev: v3.4.0

doc/source/development/contributing.rst

@@ -714,7 +714,7 @@ to run its checks with::
 
 without needing to have done ``pre-commit install`` beforehand.
 
-If you want to run checks on all recently commited files on upstream/master you can use::
+If you want to run checks on all recently committed files on upstream/master you can use::
 
     pre-commit run --from-ref=upstream/master --to-ref=HEAD --all-files
 

doc/source/development/debugging_extensions.rst

@@ -61,7 +61,7 @@ Now go ahead and execute your script:
 
    run <the_script>.py
 
-Code execution will halt at the breakpoint defined or at the occurance of any segfault. LLDB's `GDB to LLDB command map <https://lldb.llvm.org/use/map.html>`_ provides a listing of debugger command that you can execute using either debugger.
+Code execution will halt at the breakpoint defined or at the occurrence of any segfault. LLDB's `GDB to LLDB command map <https://lldb.llvm.org/use/map.html>`_ provides a listing of debugger command that you can execute using either debugger.
 
 Another option to execute the entire test suite under lldb would be to run the following:
 

doc/source/getting_started/comparison/comparison_with_spreadsheets.rst

@@ -461,4 +461,4 @@ pandas' :meth:`~DataFrame.replace` is comparable to Excel's ``Replace All``.
 
 .. ipython:: python
 
-    tips.replace("Thur", "Thu")
+    tips.replace("Thu", "Thursday")

doc/source/getting_started/comparison/comparison_with_sql.rst

@@ -193,7 +193,7 @@ to your grouped DataFrame, indicating which functions to apply to specific colum
     Fri   2.734737   19
     Sat   2.993103   87
     Sun   3.255132   76
-    Thur  2.771452   62
+    Thu  2.771452   62
     */
 
 .. ipython:: python
@@ -213,11 +213,11 @@ Grouping by more than one column is done by passing a list of columns to the
     No     Fri      4  2.812500
            Sat     45  3.102889
            Sun     57  3.167895
-           Thur    45  2.673778
+           Thu    45  2.673778
     Yes    Fri     15  2.714000
            Sat     42  2.875476
            Sun     19  3.516842
-           Thur    17  3.030000
+           Thu    17  3.030000
     */
 
 .. ipython:: python

doc/source/user_guide/dsintro.rst

@@ -869,5 +869,5 @@ completion mechanism so they can be tab-completed:
 
 .. code-block:: ipython
 
-    In [5]: df.fo<TAB>  # noqa: E225, E999
+    In [5]: df.foo<TAB>  # noqa: E225, E999
     df.foo1  df.foo2

doc/source/user_guide/io.rst

@@ -2189,7 +2189,7 @@ into a flat table.
 
    data = [
        {"id": 1, "name": {"first": "Coleen", "last": "Volk"}},
-       {"name": {"given": "Mose", "family": "Regner"}},
+       {"name": {"given": "Mark", "family": "Regner"}},
        {"id": 2, "name": "Faye Raker"},
    ]
    pd.json_normalize(data)
@@ -2995,7 +2995,7 @@ For example, below XML contains a namespace with prefix, ``doc``, and URI at
 
 Similarly, an XML document can have a default namespace without prefix. Failing
 to assign a temporary prefix will return no nodes and raise a ``ValueError``.
-But assiging *any* temporary name to correct URI allows parsing by nodes.
+But assigning *any* temporary name to correct URI allows parsing by nodes.
 
 .. ipython:: python
 

doc/source/user_guide/window.rst

@@ -79,7 +79,7 @@ which will first group the data by the specified keys and then perform a windowi
 .. versionadded:: 1.3
 
 Some windowing operations also support the ``method='table'`` option in the constructor which
-performs the windowing operaion over an entire :class:`DataFrame` instead of a single column or row at a time.
+performs the windowing operation over an entire :class:`DataFrame` instead of a single column or row at a time.
 This can provide a useful performance benefit for a :class:`DataFrame` with many columns or rows
 (with the corresponding ``axis`` argument) or the ability to utilize other columns during the windowing
 operation. The ``method='table'`` option can only be used if ``engine='numba'`` is specified

doc/source/whatsnew/v0.20.0.rst

@@ -1326,7 +1326,7 @@ Deprecations
 Deprecate ``.ix``
 ^^^^^^^^^^^^^^^^^
 
-The ``.ix`` indexer is deprecated, in favor of the more strict ``.iloc`` and ``.loc`` indexers. ``.ix`` offers a lot of magic on the inference of what the user wants to do. To wit, ``.ix`` can decide to index *positionally* OR via *labels*, depending on the data type of the index. This has caused quite a bit of user confusion over the years. The full indexing documentation is :ref:`here <indexing>`. (:issue:`14218`)
+The ``.ix`` indexer is deprecated, in favor of the more strict ``.iloc`` and ``.loc`` indexers. ``.ix`` offers a lot of magic on the inference of what the user wants to do. More specifically, ``.ix`` can decide to index *positionally* OR via *labels*, depending on the data type of the index. This has caused quite a bit of user confusion over the years. The full indexing documentation is :ref:`here <indexing>`. (:issue:`14218`)
 
 The recommended methods of indexing are:
 

doc/source/whatsnew/v1.2.1.rst

@@ -18,7 +18,7 @@ Fixed regressions
 - Fixed regression in :meth:`~DataFrame.to_csv` opening ``codecs.StreamReaderWriter`` in binary mode instead of in text mode (:issue:`39247`)
 - Fixed regression in :meth:`read_csv` and other read functions were the encoding error policy (``errors``) did not default to ``"replace"`` when no encoding was specified (:issue:`38989`)
 - Fixed regression in :func:`read_excel` with non-rawbyte file handles (:issue:`38788`)
-- Fixed regression in :meth:`DataFrame.to_stata` not removing the created file when an error occured (:issue:`39202`)
+- Fixed regression in :meth:`DataFrame.to_stata` not removing the created file when an error occurred (:issue:`39202`)
 - Fixed regression in ``DataFrame.__setitem__`` raising ``ValueError`` when expanding :class:`DataFrame` and new column is from type ``"0 - name"`` (:issue:`39010`)
 - Fixed regression in setting with :meth:`DataFrame.loc`  raising ``ValueError`` when :class:`DataFrame` has unsorted :class:`MultiIndex` columns and indexer is a scalar (:issue:`38601`)
 - Fixed regression in setting with :meth:`DataFrame.loc` raising ``KeyError`` with :class:`MultiIndex` and list-like columns indexer enlarging :class:`DataFrame` (:issue:`39147`)
@@ -135,7 +135,7 @@ Other
 - Bumped minimum fastparquet version to 0.4.0 to avoid ``AttributeError`` from numba (:issue:`38344`)
 - Bumped minimum pymysql version to 0.8.1 to avoid test failures (:issue:`38344`)
 - Fixed build failure on MacOS 11 in Python 3.9.1 (:issue:`38766`)
-- Added reference to backwards incompatible ``check_freq`` arg of :func:`testing.assert_frame_equal` and :func:`testing.assert_series_equal` in :ref:`pandas 1.1.0 whats new <whatsnew_110.api_breaking.testing.check_freq>` (:issue:`34050`)
+- Added reference to backwards incompatible ``check_freq`` arg of :func:`testing.assert_frame_equal` and :func:`testing.assert_series_equal` in :ref:`pandas 1.1.0 what's new <whatsnew_110.api_breaking.testing.check_freq>` (:issue:`34050`)
 
 .. ---------------------------------------------------------------------------
 

doc/source/whatsnew/v1.3.0.rst

@@ -382,7 +382,7 @@ Performance improvements
 - Performance improvement in :meth:`core.window.rolling.Rolling.corr` and :meth:`core.window.rolling.Rolling.cov` (:issue:`39388`)
 - Performance improvement in :meth:`core.window.rolling.RollingGroupby.corr`, :meth:`core.window.expanding.ExpandingGroupby.corr`, :meth:`core.window.expanding.ExpandingGroupby.corr` and :meth:`core.window.expanding.ExpandingGroupby.cov` (:issue:`39591`)
 - Performance improvement in :func:`unique` for object data type (:issue:`37615`)
-- Performance improvement in :func:`pd.json_normalize` for basic cases (including seperators) (:issue:`40035` :issue:`15621`)
+- Performance improvement in :func:`pd.json_normalize` for basic cases (including separators) (:issue:`40035` :issue:`15621`)
 - Performance improvement in :class:`core.window.rolling.ExpandingGroupby` aggregation methods (:issue:`39664`)
 - Performance improvement in :class:`Styler` where render times are more than 50% reduced (:issue:`39972` :issue:`39952`)
 - Performance improvement in :meth:`core.window.ewm.ExponentialMovingWindow.mean` with ``times`` (:issue:`39784`)
@@ -464,7 +464,7 @@ Interval
 - Bug in :meth:`IntervalIndex.intersection` and :meth:`IntervalIndex.symmetric_difference` always returning object-dtype when operating with :class:`CategoricalIndex` (:issue:`38653`, :issue:`38741`)
 - Bug in :meth:`IntervalIndex.intersection` returning duplicates when at least one of both Indexes has duplicates which are present in the other (:issue:`38743`)
 - :meth:`IntervalIndex.union`, :meth:`IntervalIndex.intersection`, :meth:`IntervalIndex.difference`, and :meth:`IntervalIndex.symmetric_difference` now cast to the appropriate dtype instead of raising ``TypeError`` when operating with another :class:`IntervalIndex` with incompatible dtype (:issue:`39267`)
-- :meth:`PeriodIndex.union`, :meth:`PeriodIndex.intersection`, :meth:`PeriodIndex.symmetric_difference`, :meth:`PeriodIndex.difference` now cast to object dtype instead of raising ``IncompatibleFrequency`` when opearting with another :class:`PeriodIndex` with incompatible dtype (:issue:`??`)
+- :meth:`PeriodIndex.union`, :meth:`PeriodIndex.intersection`, :meth:`PeriodIndex.symmetric_difference`, :meth:`PeriodIndex.difference` now cast to object dtype instead of raising ``IncompatibleFrequency`` when operating with another :class:`PeriodIndex` with incompatible dtype (:issue:`??`)
 
 Indexing
 ^^^^^^^^
@@ -525,7 +525,7 @@ I/O
 - Bug in :func:`to_hdf` raising ``KeyError`` when trying to apply for subclasses of ``DataFrame`` or ``Series`` (:issue:`33748`)
 - Bug in :meth:`~HDFStore.put` raising a wrong ``TypeError`` when saving a DataFrame with non-string dtype (:issue:`34274`)
 - Bug in :func:`json_normalize` resulting in the first element of a generator object not being included in the returned ``DataFrame`` (:issue:`35923`)
-- Bug in :func:`read_csv` apllying thousands separator to date columns when column should be parsed for dates and ``usecols`` is specified for ``engine="python"`` (:issue:`39365`)
+- Bug in :func:`read_csv` applying thousands separator to date columns when column should be parsed for dates and ``usecols`` is specified for ``engine="python"`` (:issue:`39365`)
 - Bug in :func:`read_excel` forward filling :class:`MultiIndex` names with multiple header and index columns specified (:issue:`34673`)
 - :func:`read_excel` now respects :func:`set_option` (:issue:`34252`)
 - Bug in :func:`read_csv` not switching ``true_values`` and ``false_values`` for nullable ``boolean`` dtype (:issue:`34655`)
@@ -603,7 +603,7 @@ ExtensionArray
 
 Other
 ^^^^^
-- Bug in :class:`Index` constructor sometimes silently ignorning a specified ``dtype`` (:issue:`38879`)
+- Bug in :class:`Index` constructor sometimes silently ignoring a specified ``dtype`` (:issue:`38879`)
 - Bug in :func:`pandas.api.types.infer_dtype` not recognizing Series, Index or array with a period dtype (:issue:`23553`)
 - Bug in :func:`pandas.api.types.infer_dtype` raising an error for general :class:`.ExtensionArray` objects. It will now return ``"unknown-array"`` instead of raising (:issue:`37367`)
 - Bug in constructing a :class:`Series` from a list and a :class:`PandasDtype` (:issue:`39357`)

setup.cfg

@@ -121,7 +121,7 @@ filterwarnings =
 junit_family = xunit2
 
 [codespell]
-ignore-words-list = ba,blocs,coo,hist,nd,ser
+ignore-words-list = ba,blocs,coo,hist,nd,sav,ser
 ignore-regex = https://(\w+\.)+
 
 [coverage:run]