DOC: Fix line length issues in algorithms.py docstrings

Author: sdhjebngc

pandas/core/algorithms.py

@@ -709,7 +709,9 @@ def factorize(
     ``pd.factorize(values)``. The results are identical for methods like
     :meth:`Series.factorize`.
 
-    >>> codes, uniques = pd.factorize(np.array(['b', 'b', 'a', 'c', 'b'], dtype="O"))
+    >>> codes, uniques = pd.factorize(
+    ...     np.array(['b', 'b', 'a', 'c', 'b'], dtype="O")
+    ... )
     >>> codes
     array([0, 0, 1, 2, 0])
     >>> uniques
@@ -718,8 +720,9 @@ def factorize(
     With ``sort=True``, the `uniques` will be sorted, and `codes` will be
     shuffled so that the relationship is the maintained.
 
-    >>> codes, uniques = pd.factorize(np.array(['b', 'b', 'a', 'c', 'b'], dtype="O"),
-    ...                               sort=True)
+    >>> codes, uniques = pd.factorize(
+    ...     np.array(['b', 'b', 'a', 'c', 'b'], dtype="O"), sort=True
+    ... )
     >>> codes
     array([1, 1, 0, 2, 1])
     >>> uniques
@@ -729,7 +732,9 @@ def factorize(
     the `codes` with the sentinel value ``-1`` and missing values are not
     included in `uniques`.
 
-    >>> codes, uniques = pd.factorize(np.array(['b', None, 'a', 'c', 'b'], dtype="O"))
+    >>> codes, uniques = pd.factorize(
+    ...     np.array(['b', None, 'a', 'c', 'b'], dtype="O")
+    ... )
     >>> codes
     array([ 0, -1,  1,  2,  0])
     >>> uniques