CLN: Rename 'n' to 'repeats' in .repeat methods (pandas-dev#22574)

For Index and MultiIndex.

xref pandas-devgh-14645.

doc/source/whatsnew/v0.24.0.txt

@@ -527,6 +527,7 @@ Removal of prior version deprecations/changes
 - Several private functions were removed from the (non-public) module ``pandas.core.common`` (:issue:`22001`)
 - Removal of the previously deprecated module ``pandas.core.datetools`` (:issue:`14105`, :issue:`14094`)
 - Strings passed into :meth:`DataFrame.groupby` that refer to both column and index levels will raise a ``ValueError`` (:issue:`14432`)
+- :meth:`Index.repeat` and :meth:`MultiIndex.repeat` have renamed the ``n`` argument to ``repeats``(:issue:`14645`)
 -
 
 .. _whatsnew_0240.performance:

pandas/core/indexes/base.py

@@ -53,7 +53,7 @@
 import pandas.core.common as com
 from pandas.core import ops
 from pandas.util._decorators import (
-    Appender, Substitution, cache_readonly, deprecate_kwarg)
+    Appender, Substitution, cache_readonly)
 from pandas.core.indexes.frozen import FrozenList
 import pandas.core.dtypes.concat as _concat
 import pandas.core.missing as missing
@@ -773,7 +773,6 @@ def memory_usage(self, deep=False):
         return result
 
     # ops compat
-    @deprecate_kwarg(old_arg_name='n', new_arg_name='repeats')
     def repeat(self, repeats, *args, **kwargs):
         """
         Repeat elements of an Index.

pandas/core/indexes/multi.py

@@ -27,7 +27,7 @@
 from pandas.core.dtypes.missing import isna, array_equivalent
 from pandas.errors import PerformanceWarning, UnsortedIndexError
 
-from pandas.util._decorators import Appender, cache_readonly, deprecate_kwarg
+from pandas.util._decorators import Appender, cache_readonly
 import pandas.core.common as com
 import pandas.core.missing as missing
 import pandas.core.algorithms as algos
@@ -1646,7 +1646,6 @@ def append(self, other):
     def argsort(self, *args, **kwargs):
         return self.values.argsort(*args, **kwargs)
 
-    @deprecate_kwarg(old_arg_name='n', new_arg_name='repeats')
     def repeat(self, repeats, *args, **kwargs):
         nv.validate_repeat(args, kwargs)
         return MultiIndex(levels=self.levels,

pandas/tests/indexes/multi/test_reshape.py

@@ -100,10 +100,6 @@ def test_repeat():
         numbers, names.repeat(reps)], names=names)
     tm.assert_index_equal(m.repeat(reps), expected)
 
-    with tm.assert_produces_warning(FutureWarning):
-        result = m.repeat(n=reps)
-        tm.assert_index_equal(result, expected)
-
 
 def test_insert_base(idx):
 

pandas/tests/indexes/test_base.py

@@ -2402,15 +2402,6 @@ def test_repeat(self):
         result = index.repeat(repeats)
         tm.assert_index_equal(result, expected)
 
-    def test_repeat_warns_n_keyword(self):
-        index = pd.Index([1, 2, 3])
-        expected = pd.Index([1, 1, 2, 2, 3, 3])
-
-        with tm.assert_produces_warning(FutureWarning):
-            result = index.repeat(n=2)
-
-        tm.assert_index_equal(result, expected)
-
     @pytest.mark.parametrize("index", [
         pd.Index([np.nan]), pd.Index([np.nan, 1]),
         pd.Index([1, 2, np.nan]), pd.Index(['a', 'b', np.nan]),