Modify doc/source/whatsnew7

doc/source/whatsnew/v0.25.0.rst

@@ -33,7 +33,7 @@ Enhancements
 
 .. _whatsnew_0250.enhancements.agg_relabel:
 
-Groupby aggregation with relabeling
+GroupBy aggregation with relabeling
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 Pandas has added special groupby behavior, known as "named aggregation", for naming the
@@ -85,7 +85,7 @@ See :ref:`groupby.aggregate.named` for more.
 
 .. _whatsnew_0250.enhancements.multiple_lambdas:
 
-Groupby aggregation with multiple lambdas
+GroupBy aggregation with multiple lambdas
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 You can now provide multiple lambda functions to a list-like aggregation in
@@ -161,7 +161,7 @@ To restore the previous behaviour of a single threshold, set
 
 .. _whatsnew_0250.enhancements.json_normalize_with_max_level:
 
-Json normalize with max_level param support
+JSON normalize with max_level param support
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 :func:`json_normalize` normalizes the provided input dict to all
@@ -308,7 +308,7 @@ would be reassigned as -1. (:issue:`19387`)
 
 .. _whatsnew_0250.api_breaking.groupby_apply_first_group_once:
 
-``Groupby.apply`` on ``DataFrame`` evaluates first group only once
+``GroupBy.apply`` on ``DataFrame`` evaluates first group only once
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 The implementation of :meth:`DataFrameGroupBy.apply() <pandas.core.groupby.DataFrameGroupBy.apply>`
@@ -422,7 +422,7 @@ of ``object`` dtype. :attr:`Series.str` will now infer the dtype data *within* t
 
 .. _whatsnew_0250.api_breaking.groupby_categorical:
 
-Categorical dtypes are preserved during groupby
+Categorical dtypes are preserved during GroupBy
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 Previously, columns that were categorical, but not the groupby key(s) would be converted to ``object`` dtype during groupby operations. Pandas now will preserve these dtypes. (:issue:`18502`)
@@ -483,7 +483,7 @@ values are coerced to floating point, which may result in loss of precision. See
 :ref:`indexing.set_ops` for more.
 
 
-``DataFrame`` groupby ffill/bfill no longer return group labels
+``DataFrame`` GroupBy ffill/bfill no longer return group labels
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 The methods ``ffill``, ``bfill``, ``pad`` and ``backfill`` of
@@ -513,7 +513,7 @@ are returned. (:issue:`21521`)
 
     df.groupby("a").ffill()
 
-``DataFrame`` describe on an empty categorical / object column will return top and freq
+``DataFrame`` describe on an empty Categorical / object column will return top and freq
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 When calling :meth:`DataFrame.describe` with an empty categorical / object
@@ -1085,7 +1085,6 @@ Conversion
 
 - Bug in :func:`DataFrame.astype()` when passing a dict of columns and types the ``errors`` parameter was ignored. (:issue:`25905`)
 -
--
 
 Strings
 ^^^^^^^
@@ -1139,8 +1138,8 @@ MultiIndex
 - Bug in which incorrect exception raised by :class:`Timedelta` when testing the membership of :class:`MultiIndex` (:issue:`24570`)
 -
 
-I/O
-^^^
+IO
+^^
 
 - Bug in :func:`DataFrame.to_html()` where values were truncated using display options instead of outputting the full content (:issue:`17004`)
 - Fixed bug in missing text when using :meth:`to_clipboard` if copying utf-16 characters in Python 3 on Windows (:issue:`25040`)
@@ -1182,9 +1181,8 @@ Plotting
 - Fixed bug causing plots of :class:`PeriodIndex` timeseries to fail if the frequency is a multiple of the frequency rule code (:issue:`14763`)
 - Fixed bug when plotting a :class:`DatetimeIndex` with ``datetime.timezone.utc`` timezone (:issue:`17173`)
 -
--
 
-Groupby/resample/rolling
+GroupBy/resample/rolling
 ^^^^^^^^^^^^^^^^^^^^^^^^
 
 - Bug in :meth:`pandas.core.resample.Resampler.agg` with a timezone aware index where ``OverflowError`` would raise when passing a list of functions (:issue:`22660`)

doc/source/whatsnew/v0.25.1.rst

@@ -6,8 +6,8 @@ What's new in 0.25.1 (August 21, 2019)
 These are the changes in pandas 0.25.1. See :ref:`release` for a full changelog
 including other versions of pandas.
 
-I/O and LZMA
-~~~~~~~~~~~~
+IO and LZMA
+~~~~~~~~~~~
 
 Some users may unknowingly have an incomplete Python installation lacking the `lzma` module from the standard library. In this case, `import pandas` failed due to an `ImportError` (:issue:`27575`).
 Pandas will now warn, rather than raising an `ImportError` if the `lzma` module is not present. Any subsequent attempt to use `lzma` methods will raise a `RuntimeError`.
@@ -67,8 +67,8 @@ Missing
 
 - Bug in :func:`pandas.isnull` or :func:`pandas.isna` when the input is a type e.g. ``type(pandas.Series())`` (:issue:`27482`)
 
-I/O
-^^^
+IO
+^^
 
 - Avoid calling ``S3File.s3`` when reading parquet, as this was removed in s3fs version 0.3.0 (:issue:`27756`)
 - Better error message when a negative header is passed in :func:`pandas.read_csv` (:issue:`27779`)
@@ -82,7 +82,7 @@ Plotting
   :meth:`pandas.plotting.deregister_matplotlib_converters` (:issue:`27481`).
 - Fix compatibility issue with matplotlib when passing a pandas ``Index`` to a plot call (:issue:`27775`).
 
-Groupby/resample/rolling
+GroupBy/resample/rolling
 ^^^^^^^^^^^^^^^^^^^^^^^^
 
 - Fixed regression in :meth:`pands.core.groupby.DataFrameGroupBy.quantile` raising when multiple quantiles are given (:issue:`27526`)

doc/source/whatsnew/v0.25.2.rst

@@ -21,14 +21,14 @@ Indexing
 - Fix regression in :meth:`DataFrame.reindex` not following the ``limit`` argument (:issue:`28631`).
 - Fix regression in :meth:`RangeIndex.get_indexer` for decreasing :class:`RangeIndex` where target values may be improperly identified as missing/present (:issue:`28678`)
 
-I/O
-^^^
+IO
+^^
 
 - Fix regression in notebook display where ``<th>`` tags were missing for :attr:`DataFrame.index` values (:issue:`28204`).
 - Regression in :meth:`~DataFrame.to_csv` where writing a :class:`Series` or :class:`DataFrame` indexed by an :class:`IntervalIndex` would incorrectly raise a ``TypeError`` (:issue:`28210`)
 - Fix :meth:`~DataFrame.to_csv` with ``ExtensionArray`` with list-like values (:issue:`28840`).
 
-Groupby/resample/rolling
+GroupBy/resample/rolling
 ^^^^^^^^^^^^^^^^^^^^^^^^
 
 - Bug incorrectly raising an ``IndexError`` when passing a list of quantiles to :meth:`pandas.core.groupby.DataFrameGroupBy.quantile` (:issue:`28113`).

doc/source/whatsnew/v0.25.3.rst

@@ -11,7 +11,7 @@ including other versions of pandas.
 Bug fixes
 ~~~~~~~~~
 
-Groupby/resample/rolling
+GroupBy/resample/rolling
 ^^^^^^^^^^^^^^^^^^^^^^^^
 
 - Bug in :meth:`DataFrameGroupBy.quantile` where NA values in the grouping could cause segfaults or incorrect results (:issue:`28882`)

doc/source/whatsnew/v1.0.0.rst

@@ -196,7 +196,7 @@ You can use the alias ``"boolean"`` as well.
 
 .. _whatsnew_100.convert_dtypes:
 
-``convert_dtypes`` method to ease use of supported extension dtypes
+Method ``convert_dtypes`` to ease use of supported extension dtypes
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 In order to encourage use of the extension dtypes ``StringDtype``,
@@ -1082,13 +1082,11 @@ Timedelta
 ^^^^^^^^^
 - Bug in subtracting a :class:`TimedeltaIndex` or :class:`TimedeltaArray` from a ``np.datetime64`` object (:issue:`29558`)
 -
--
 
 Timezones
 ^^^^^^^^^
 
 -
--
 
 
 Numeric
@@ -1113,7 +1111,6 @@ Numeric
 Conversion
 ^^^^^^^^^^
 
--
 -
 
 Strings
@@ -1152,7 +1149,6 @@ Indexing
 Missing
 ^^^^^^^
 
--
 -
 
 MultiIndex
@@ -1162,8 +1158,8 @@ MultiIndex
 - Series and MultiIndex `.drop` with `MultiIndex` raise exception if labels not in given in level (:issue:`8594`)
 -
 
-I/O
-^^^
+IO
+^^
 
 - :meth:`read_csv` now accepts binary mode file buffers when using the Python csv engine (:issue:`23779`)
 - Bug in :meth:`DataFrame.to_json` where using a Tuple as a column or index value and using ``orient="columns"`` or ``orient="index"`` would produce invalid JSON (:issue:`20500`)
@@ -1203,7 +1199,7 @@ Plotting
 - Allow :meth:`DataFrame.plot.scatter` to plot ``objects`` and ``datetime`` type data (:issue:`18755`, :issue:`30391`)
 - Bug in :meth:`DataFrame.hist`, ``xrot=0`` does not work with ``by`` and subplots (:issue:`30288`).
 
-Groupby/resample/rolling
+GroupBy/resample/rolling
 ^^^^^^^^^^^^^^^^^^^^^^^^
 
 - Bug in :meth:`core.groupby.DataFrameGroupBy.apply` only showing output from a single group when function returns an :class:`Index` (:issue:`28652`)

doc/source/whatsnew/v1.0.2.rst

@@ -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`)

doc/source/whatsnew/v1.1.0.rst

@@ -42,7 +42,7 @@ For example, the below now works:
 
 .. _whatsnew_110.period_index_partial_string_slicing:
 
-Non-monotonic PeriodIndex Partial String Slicing
+Non-monotonic PeriodIndex partial string slicing
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 :class:`PeriodIndex` now supports partial string slicing for non-monotonic indexes, mirroring :class:`DatetimeIndex` behavior (:issue:`31096`)
@@ -413,7 +413,7 @@ And the differences in reindexing ``df`` with ``mi_2`` and using ``method='pad'`
 
 .. _whatsnew_110.notable_bug_fixes.indexing_raises_key_errors:
 
-Failed Label-Based Lookups Always Raise KeyError
+Failed label-based lookups always raise KeyError
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 Label lookups ``series[key]``, ``series.loc[key]`` and ``frame.loc[key]``
@@ -786,7 +786,7 @@ Optional libraries below the lowest tested version may still work, but are not c
 
 See :ref:`install.dependencies` and :ref:`install.optional_dependencies` for more.
 
-Development Changes
+Development changes
 ^^^^^^^^^^^^^^^^^^^
 
 - The minimum version of Cython is now the most recent bug-fix version (0.29.16) (:issue:`33334`).
@@ -1051,8 +1051,8 @@ MultiIndex
 
 - Bug when joining two :class:`MultiIndex` without specifying level with different columns. Return-indexers parameter was ignored. (:issue:`34074`)
 
-I/O
-^^^
+IO
+^^
 - Passing a ``set`` as ``names`` argument to :func:`pandas.read_csv`, :func:`pandas.read_table`, or :func:`pandas.read_fwf` will raise ``ValueError: Names should be an ordered collection.`` (:issue:`34946`)
 - Bug in print-out when ``display.precision`` is zero. (:issue:`20359`)
 - Bug in :func:`read_json` where integer overflow was occurring when json contains big number strings. (:issue:`30320`)
@@ -1108,7 +1108,7 @@ Plotting
 - Bug in :meth:`pandas.plotting.bootstrap_plot` was causing cluttered axes and overlapping labels (:issue:`34905`)
 - Bug in :meth:`DataFrame.plot.scatter` caused an error when plotting variable marker sizes (:issue:`32904`)
 
-Groupby/resample/rolling
+GroupBy/resample/rolling
 ^^^^^^^^^^^^^^^^^^^^^^^^
 
 - Using a :class:`pandas.api.indexers.BaseIndexer` with ``count``, ``min``, ``max``, ``median``, ``skew``,  ``cov``, ``corr`` will now return correct results for any monotonic :class:`pandas.api.indexers.BaseIndexer` descendant (:issue:`32865`)

scripts/validate_rst_title_capitalization.py

@@ -30,6 +30,7 @@
     "BigQuery",
     "STATA",
     "Interval",
+    "IntervalArray",
     "PEP8",
     "Period",
     "Series",
@@ -141,6 +142,13 @@
     "False",
     "Styler",
     "os",
+    "UTC",
+    "str",
+    "msgpack",
+    "ExtensionArray",
+    "LZMA",
+    "Numba",
+    "Timestamp",
 }
 
 CAP_EXCEPTIONS_DICT = {word.lower(): word for word in CAPITALIZATION_EXCEPTIONS}