DOC: Correct uniqueness of index for Series

pandas/core/series.py

@@ -102,11 +102,11 @@ class Series(base.IndexOpsMixin, strings.StringAccessorMixin,
     """
     One-dimensional ndarray with axis labels (including time series).
 
-    Labels need not be unique but must be any hashable type. The object
-    supports both integer- and label-based indexing and provides a host of
-    methods for performing operations involving the index. Statistical
-    methods from ndarray have been overridden to automatically exclude
-    missing data (currently represented as NaN)
+    Labels need not be unique but must be a hashable type. The object supports
+    both integer- and label-based indexing and provides a host of methods for
+    performing operations involving the index. Statistical methods from ndarray
+    have been overridden to automatically exclude missing data (currently
+    represented as NaN).
 
     Operations between Series (+, -, /, *, **) align values based on their
     associated index values-- they need not be the same length. The result
@@ -117,11 +117,9 @@ class Series(base.IndexOpsMixin, strings.StringAccessorMixin,
     data : array-like, dict, or scalar value
         Contains data stored in Series
     index : array-like or Index (1d)
-        Values must be unique and hashable, same length as data. Index
-        object (or other iterable of same length as data) Will default to
-        RangeIndex(len(data)) if not provided. If both a dict and index
-        sequence are used, the index will override the keys found in the
-        dict.
+	Values must be hashable and the same length as data. Will default to
+        RangeIndex(len(data)) if not provided. If both a dict and index sequence are
+        used, the index will override the keys found in the dict.
     dtype : numpy.dtype or None
         If None, dtype will be inferred
     copy : boolean, default False