DOC: Fix EX02 in pandas.Series.factorize (#32901)

Author: farhanreynaldo

pandas/core/algorithms.py

@@ -556,7 +556,7 @@ 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)
 
@@ -565,7 +565,7 @@ 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)
 
@@ -575,7 +575,7 @@ 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)
 
@@ -586,7 +586,7 @@ 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]
@@ -600,7 +600,7 @@ 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')
     """

setup.cfg

@@ -60,7 +60,7 @@ markers =
     db: tests requiring a database (mysql or postgres)
     high_memory: mark a test as a high-memory only
     clipboard: mark a pd.read_clipboard test
-doctest_optionflags = NORMALIZE_WHITESPACE IGNORE_EXCEPTION_DETAIL
+doctest_optionflags = NORMALIZE_WHITESPACE IGNORE_EXCEPTION_DETAIL ELLIPSIS
 addopts = --strict-data-files
 xfail_strict = True
 filterwarnings =