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DOC: Fix title capitalization in documentation files (#32550) #59972

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Oct 30, 2024
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DOC: Fix title capitalization in documentation files (#32550) #59972

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6 changes: 3 additions & 3 deletions doc/source/user_guide/cookbook.rst
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Expand Up @@ -35,7 +35,7 @@ These are some neat pandas ``idioms``
)
df

if-then...
If-then...
**********

An if-then on one column
Expand Down Expand Up @@ -176,7 +176,7 @@ One could hard code:
Selection
---------

Dataframes
DataFrames
**********

The :ref:`indexing <indexing>` docs.
Expand Down Expand Up @@ -1489,7 +1489,7 @@ of the data values:
)
df

Constant series
Constant Series
---------------

To assess if a series has a constant value, we can check if ``series.nunique() <= 1``.
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2 changes: 1 addition & 1 deletion doc/source/user_guide/gotchas.rst
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Expand Up @@ -121,7 +121,7 @@ Below is how to check if any of the values are ``True``:
if pd.Series([False, True, False]).any():
print("I am any")

Bitwise boolean
Bitwise Boolean
~~~~~~~~~~~~~~~

Bitwise boolean operators like ``==`` and ``!=`` return a boolean :class:`Series`
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6 changes: 3 additions & 3 deletions doc/source/user_guide/groupby.rst
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Expand Up @@ -618,7 +618,7 @@ this will make an extra copy.

.. _groupby.aggregate.udf:

Aggregation with User-Defined Functions
Aggregation with user-defined functions
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Users can also provide their own User-Defined Functions (UDFs) for custom aggregations.
Expand Down Expand Up @@ -1261,7 +1261,7 @@ with
df.groupby("A", group_keys=False).apply(lambda x: x, include_groups=False)


Numba Accelerated Routines
Numba accelerated routines
--------------------------

.. versionadded:: 1.1
Expand Down Expand Up @@ -1696,7 +1696,7 @@ introduction <categorical>` and the

dfg.groupby(["A", [0, 0, 0, 1, 1]]).ngroup()

Groupby by indexer to 'resample' data
GroupBy by indexer to 'resample' data
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Resampling produces new hypothetical samples (resamples) from already existing observed data or from a model that generates data. These new samples are similar to the pre-existing samples.
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2 changes: 1 addition & 1 deletion doc/source/user_guide/integer_na.rst
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Expand Up @@ -147,7 +147,7 @@ Reduction and groupby operations such as :meth:`~DataFrame.sum` work as well.
df.sum()
df.groupby("B").A.sum()

Scalar NA Value
Scalar NA value
---------------

:class:`arrays.IntegerArray` uses :attr:`pandas.NA` as its scalar
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2 changes: 1 addition & 1 deletion doc/source/user_guide/io.rst
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Expand Up @@ -5996,7 +5996,7 @@ Full documentation can be found `here <https://pandas-gbq.readthedocs.io/en/late

.. _io.stata:

Stata format
STATA format
------------

.. _io.stata_writer:
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2 changes: 1 addition & 1 deletion doc/source/whatsnew/v1.0.2.rst
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Expand Up @@ -47,7 +47,7 @@ Fixed regressions

.. ---------------------------------------------------------------------------

Indexing with nullable boolean arrays
Indexing with nullable Boolean arrays
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Previously indexing with a nullable Boolean array containing ``NA`` would raise a ``ValueError``, however this is now permitted with ``NA`` being treated as ``False``. (:issue:`31503`)
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