DOC: Added MultiIndex Example for Series Min

pandas/core/generic.py

@@ -9387,7 +9387,7 @@ def compound(self, axis=None, skipna=None, level=None):
             """This method returns the minimum of the values in the object.
             If you want the *index* of the minimum, use ``idxmin``. This is
             the equivalent of the ``numpy.ndarray`` method ``argmin``.""",
-            nanops.nanmin)
+            nanops.nanmin, _min_examples)
 
     @classmethod
     def _add_series_only_operations(cls):
@@ -10267,6 +10267,43 @@ def _doc_parms(cls):
 dtype: int64
 """
 
+_min_examples = """\
+Examples
+--------
+``MultiIndex`` series example of monthly rainfall
+
+>>> index = pd.MultiIndex.from_product(
+...     [['London', 'New York'], ['Jun', 'Jul', 'Aug']],
+...     names=['city', 'month'])
+>>> s = pd.Series([47, 35, 54, 112, 117, 113], index=index)
+>>> s
+city      month
+London    Jun       47
+          Jul       35
+          Aug       54
+New York  Jun      112
+          Jul      117
+          Aug      113
+dtype: int64
+
+>>> s.min()
+35
+
+Min using level names, as well as indices
+
+>>> s.min(level='city')
+city
+London       35
+New York    112
+dtype: int64
+
+>>> s.min(level=1)
+month
+Jun    47
+Jul    35
+Aug    54
+dtype: int64
+"""
 
 _min_count_stub = """\
 min_count : int, default 0