fix typos (#59665)

typos

Author: musvaage

asv_bench/benchmarks/indexing_engines.py

@@ -87,7 +87,7 @@ def setup(self, engine_and_dtype, index_type, unique, N):
                 arr = np.array([1, 2, 3], dtype=dtype).repeat(N)
 
         self.data = engine(arr)
-        # code belows avoids populating the mapping etc. while timing.
+        # code below avoids populating the mapping etc. while timing.
         self.data.get_loc(2)
 
         self.key_middle = arr[len(arr) // 2]
@@ -140,7 +140,7 @@ def setup(self, engine_and_dtype, index_type, unique, N):
             mask[-1] = True
 
         self.data = engine(BaseMaskedArray(arr, mask))
-        # code belows avoids populating the mapping etc. while timing.
+        # code below avoids populating the mapping etc. while timing.
         self.data.get_loc(2)
 
         self.key_middle = arr[len(arr) // 2]
@@ -169,7 +169,7 @@ def setup(self, index_type):
         }[index_type]
 
         self.data = libindex.ObjectEngine(arr)
-        # code belows avoids populating the mapping etc. while timing.
+        # code below avoids populating the mapping etc. while timing.
         self.data.get_loc("b")
 
     def time_get_loc(self, index_type):

doc/source/development/contributing_codebase.rst

@@ -605,7 +605,7 @@ The ``temp_file`` pytest fixture creates a temporary file :py:class:`Pathlib` ob
         pd.DataFrame([1]).to_csv(str(temp_file))
 
 Please reference `pytest's documentation <https://docs.pytest.org/en/latest/how-to/tmp_path.html#the-default-base-temporary-directory>`_
-for the file retension policy.
+for the file retention policy.
 
 Testing involving network connectivity
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

doc/source/development/debugging_extensions.rst

@@ -30,7 +30,7 @@ By specifying ``builddir="debug"`` all of the targets will be built and placed i
 Using Docker
 ------------
 
-To simplify the debugging process, pandas has created a Docker image with a debug build of Python and the gdb/Cython debuggers pre-installed. You may either ``docker pull pandas/pandas-debug`` to get access to this image or build it from the ``tooling/debug`` folder locallly.
+To simplify the debugging process, pandas has created a Docker image with a debug build of Python and the gdb/Cython debuggers pre-installed. You may either ``docker pull pandas/pandas-debug`` to get access to this image or build it from the ``tooling/debug`` folder locally.
 
 You can then mount your pandas repository into this image via:
 

doc/source/getting_started/index.rst

@@ -613,7 +613,7 @@ the pandas-equivalent operations compared to software you already know:
 
         Users of `Excel <https://en.wikipedia.org/wiki/Microsoft_Excel>`__
         or other spreadsheet programs will find that many of the concepts are
-        transferrable to pandas.
+        transferable to pandas.
 
         +++
 

doc/source/user_guide/cookbook.rst

@@ -914,7 +914,7 @@ Using TimeGrouper and another grouping to create subgroups, then apply a custom
 <https://stackoverflow.com/questions/15408156/resampling-with-custom-periods>`__
 
 `Resample intraday frame without adding new days
-<https://stackoverflow.com/questions/14898574/resample-intrday-pandas-dataframe-without-add-new-days>`__
+<https://stackoverflow.com/questions/14898574/resample-intraday-pandas-dataframe-without-add-new-days>`__
 
 `Resample minute data
 <https://stackoverflow.com/questions/14861023/resampling-minute-data>`__

doc/source/user_guide/io.rst

@@ -169,7 +169,7 @@ dtype_backend : {"numpy_nullable", "pyarrow"}, defaults to NumPy backed DataFram
   implementation when "numpy_nullable" is set, pyarrow is used for all
   dtypes if "pyarrow" is set.
 
-  The dtype_backends are still experimential.
+  The dtype_backends are still experiential.
 
   .. versionadded:: 2.0
 
@@ -2893,7 +2893,7 @@ Read in the content of the "books.xml" as instance of ``StringIO`` or
    df
 
 Even read XML from AWS S3 buckets such as NIH NCBI PMC Article Datasets providing
-Biomedical and Life Science Jorurnals:
+Biomedical and Life Science Journals:
 
 .. code-block:: python
 

doc/source/user_guide/style.ipynb

@@ -1182,7 +1182,7 @@
     "Some styling functions are common enough that we've \"built them in\" to the `Styler`, so you don't have to write them and apply them yourself. The current list of such functions is:\n",
     "\n",
     " - [.highlight_null][nullfunc]: for use with identifying missing data. \n",
-    " - [.highlight_min][minfunc] and [.highlight_max][maxfunc]: for use with identifying extremeties in data.\n",
+    " - [.highlight_min][minfunc] and [.highlight_max][maxfunc]: for use with identifying extremities in data.\n",
     " - [.highlight_between][betweenfunc] and [.highlight_quantile][quantilefunc]: for use with identifying classes within data.\n",
     " - [.background_gradient][bgfunc]: a flexible method for highlighting cells based on their, or other, values on a numeric scale.\n",
     " - [.text_gradient][textfunc]: similar method for highlighting text based on their, or other, values on a numeric scale.\n",

doc/source/whatsnew/v0.21.1.rst

@@ -141,7 +141,7 @@ IO
 Plotting
 ^^^^^^^^
 
-- Bug in ``DataFrame.plot()`` and ``Series.plot()`` with :class:`DatetimeIndex` where a figure generated by them is not pickleable in Python 3 (:issue:`18439`)
+- Bug in ``DataFrame.plot()`` and ``Series.plot()`` with :class:`DatetimeIndex` where a figure generated by them is not picklable in Python 3 (:issue:`18439`)
 
 GroupBy/resample/rolling
 ^^^^^^^^^^^^^^^^^^^^^^^^

doc/source/whatsnew/v0.25.0.rst

@@ -1159,7 +1159,7 @@ IO
 - Bug in :meth:`DataFrame.to_html` where header numbers would ignore display options when rounding (:issue:`17280`)
 - Bug in :func:`read_hdf` where reading a table from an HDF5 file written directly with PyTables fails with a ``ValueError`` when using a sub-selection via the ``start`` or ``stop`` arguments (:issue:`11188`)
 - Bug in :func:`read_hdf` not properly closing store after a ``KeyError`` is raised (:issue:`25766`)
-- Improved the explanation for the failure when value labels are repeated in Stata dta files and suggested work-arounds (:issue:`25772`)
+- Improved the explanation for the failure when value labels are repeated in Stata dta files and suggested workarounds (:issue:`25772`)
 - Improved :meth:`pandas.read_stata` and :class:`pandas.io.stata.StataReader` to read incorrectly formatted 118 format files saved by Stata (:issue:`25960`)
 - Improved the ``col_space`` parameter in :meth:`DataFrame.to_html` to accept a string so CSS length values can be set correctly (:issue:`25941`)
 - Fixed bug in loading objects from S3 that contain ``#`` characters in the URL (:issue:`25945`)

doc/source/whatsnew/v1.0.0.rst

@@ -900,7 +900,7 @@ or ``matplotlib.Axes.plot``. See :ref:`plotting.formatters` for more.
 - Removed ``pandas.plotting._matplotlib.tsplot``, use :meth:`Series.plot` instead (:issue:`19980`)
 - ``pandas.tseries.converter.register`` has been moved to :func:`pandas.plotting.register_matplotlib_converters` (:issue:`18307`)
 - :meth:`Series.plot` no longer accepts positional arguments, pass keyword arguments instead (:issue:`30003`)
-- :meth:`DataFrame.hist` and :meth:`Series.hist` no longer allows ``figsize="default"``, specify figure size by passinig a tuple instead (:issue:`30003`)
+- :meth:`DataFrame.hist` and :meth:`Series.hist` no longer allows ``figsize="default"``, specify figure size by passing a tuple instead (:issue:`30003`)
 - Floordiv of integer-dtyped array by :class:`Timedelta` now raises ``TypeError`` (:issue:`21036`)
 - :class:`TimedeltaIndex` and :class:`DatetimeIndex` no longer accept non-nanosecond dtype strings like "timedelta64" or "datetime64", use "timedelta64[ns]" and "datetime64[ns]" instead (:issue:`24806`)
 - Changed the default "skipna" argument in :func:`pandas.api.types.infer_dtype` from ``False`` to ``True`` (:issue:`24050`)