From 612823e824805b97a2dbe258ba808dc572083d49 Mon Sep 17 00:00:00 2001
From: Zhengbo Wang <77875500+luke396@users.noreply.github.com>
Date: Sat, 13 Jan 2024 01:59:24 +0800
Subject: [PATCH] DOC: Fix EX03 flake8 errors in docstrings (#56834)

* Fix formatting in `pandas.Series.cat.set_categories` and `pandas.Series.plot.bar`

* Remove unused code in code_checks.sh

---------

Co-authored-by: Marc Garcia <garcia.marc@gmail.com>
---
 ci/code_checks.sh                 | 3 ---
 pandas/core/arrays/categorical.py | 2 +-
 pandas/plotting/_core.py          | 4 ++--
 3 files changed, 3 insertions(+), 6 deletions(-)

diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index 092681049f7f2..75b6925d14f21 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -71,9 +71,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
 
     MSG='Partially validate docstrings (EX03)' ;  echo $MSG
     $BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=EX03 --ignore_functions \
-        pandas.Series.cat.set_categories \
-        pandas.Series.plot.bar \
-        pandas.Series.plot.hist \
         pandas.Series.plot.line \
         pandas.Series.to_sql \
         pandas.Series.to_latex \
diff --git a/pandas/core/arrays/categorical.py b/pandas/core/arrays/categorical.py
index 342aaad3f9adc..5a88aed1419e3 100644
--- a/pandas/core/arrays/categorical.py
+++ b/pandas/core/arrays/categorical.py
@@ -1082,7 +1082,7 @@ def set_categories(
         For :class:`pandas.Series`:
 
         >>> raw_cat = pd.Categorical(['a', 'b', 'c', 'A'],
-        ...                           categories=['a', 'b', 'c'], ordered=True)
+        ...                          categories=['a', 'b', 'c'], ordered=True)
         >>> ser = pd.Series(raw_cat)
         >>> ser
         0   a
diff --git a/pandas/plotting/_core.py b/pandas/plotting/_core.py
index cb5598a98d5af..96609fdc1671b 100644
--- a/pandas/plotting/_core.py
+++ b/pandas/plotting/_core.py
@@ -1114,7 +1114,7 @@ def line(
         .. plot::
             :context: close-figs
 
-            >>> df = pd.DataFrame({'lab':['A', 'B', 'C'], 'val':[10, 30, 20]})
+            >>> df = pd.DataFrame({'lab': ['A', 'B', 'C'], 'val': [10, 30, 20]})
             >>> ax = df.plot.bar(x='lab', y='val', rot=0)
 
         Plot a whole dataframe to a bar plot. Each column is assigned a
@@ -1195,7 +1195,7 @@ def bar(  # pylint: disable=disallowed-name
         """
         See Also
         --------
-        DataFrame.plot.bar: Vertical bar plot.
+        DataFrame.plot.bar : Vertical bar plot.
         DataFrame.plot : Make plots of DataFrame using matplotlib.
         matplotlib.axes.Axes.bar : Plot a vertical bar plot using matplotlib.