DOC fix EX02 algorithms.factorize docstring (#51243)

* fix algorithms.factorize docstring

* remove from exclusion list

* fix dtypes

---------

Co-authored-by: Alex <[email protected]>

Author: albuzenet

ci/code_checks.sh

@@ -579,9 +579,7 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
     MSG='Partially validate docstrings (EX02)' ;  echo $MSG
     $BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=EX02 --ignore_functions \
         pandas.DataFrame.plot.line \
-        pandas.Index.factorize \
         pandas.Period.strftime \
-        pandas.Series.factorize \
         pandas.Series.floordiv \
         pandas.Series.plot.line \
         pandas.Series.rfloordiv \
@@ -609,7 +607,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.api.types.is_unsigned_integer_dtype \
         pandas.core.groupby.DataFrameGroupBy.take \
         pandas.core.groupby.SeriesGroupBy.take \
-        pandas.factorize \
         pandas.io.formats.style.Styler.concat \
         pandas.io.formats.style.Styler.export \
         pandas.io.formats.style.Styler.set_td_classes \

pandas/core/algorithms.py

@@ -688,7 +688,7 @@ def factorize(
 
     >>> codes, uniques = pd.factorize(['b', 'b', 'a', 'c', 'b'])
     >>> codes
-    array([0, 0, 1, 2, 0]...)
+    array([0, 0, 1, 2, 0])
     >>> uniques
     array(['b', 'a', 'c'], dtype=object)
 
@@ -697,7 +697,7 @@ def factorize(
 
     >>> codes, uniques = pd.factorize(['b', 'b', 'a', 'c', 'b'], sort=True)
     >>> codes
-    array([1, 1, 0, 2, 1]...)
+    array([1, 1, 0, 2, 1])
     >>> uniques
     array(['a', 'b', 'c'], dtype=object)
 
@@ -707,7 +707,7 @@ def factorize(
 
     >>> codes, uniques = pd.factorize(['b', None, 'a', 'c', 'b'])
     >>> codes
-    array([ 0, -1,  1,  2,  0]...)
+    array([ 0, -1,  1,  2,  0])
     >>> uniques
     array(['b', 'a', 'c'], dtype=object)
 
@@ -718,7 +718,7 @@ def factorize(
     >>> cat = pd.Categorical(['a', 'a', 'c'], categories=['a', 'b', 'c'])
     >>> codes, uniques = pd.factorize(cat)
     >>> codes
-    array([0, 0, 1]...)
+    array([0, 0, 1])
     >>> uniques
     ['a', 'c']
     Categories (3, object): ['a', 'b', 'c']
@@ -732,7 +732,7 @@ def factorize(
     >>> cat = pd.Series(['a', 'a', 'c'])
     >>> codes, uniques = pd.factorize(cat)
     >>> codes
-    array([0, 0, 1]...)
+    array([0, 0, 1])
     >>> uniques
     Index(['a', 'c'], dtype='object')