DOC: Fixed PR06 docstrings errors in pandas.arrays.IntervalArray (pandas-dev#28721)

Author: LauraCollard

pandas/core/arrays/interval.py

@@ -259,7 +259,7 @@ def _from_factorized(cls, values, original):
     closed : {'left', 'right', 'both', 'neither'}, default 'right'
         Whether the intervals are closed on the left-side, right-side, both
         or neither.
-    copy : boolean, default False
+    copy : bool, default False
         copy the data
     dtype : dtype or None, default None
         If None, dtype will be inferred
@@ -315,7 +315,7 @@ def from_breaks(cls, breaks, closed="right", copy=False, dtype=None):
         closed : {'left', 'right', 'both', 'neither'}, default 'right'
             Whether the intervals are closed on the left-side, right-side, both
             or neither.
-        copy : boolean, default False
+        copy : bool, default False
             Copy the data.
         dtype : dtype, optional
             If None, dtype will be inferred.
@@ -387,7 +387,7 @@ def from_arrays(cls, left, right, closed="right", copy=False, dtype=None):
     closed : {'left', 'right', 'both', 'neither'}, default 'right'
         Whether the intervals are closed on the left-side, right-side, both
         or neither.
-    copy : boolean, default False
+    copy : bool, default False
         by-default copy the data, this is compat only and ignored
     dtype : dtype or None, default None
         If None, dtype will be inferred
@@ -811,7 +811,7 @@ def value_counts(self, dropna=True):
 
         Parameters
         ----------
-        dropna : boolean, default True
+        dropna : bool, default True
             Don't include counts of NaN.
 
         Returns