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DOC: Correct uniqueness of index for Series #14344

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Nov 25, 2016
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8 changes: 4 additions & 4 deletions pandas/core/series.py
Original file line number Diff line number Diff line change
Expand Up @@ -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
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)
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
Expand All @@ -117,8 +117,8 @@ 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
Values must be hashable and have the same length as `data`.
Non-unique index values are allowed. 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.
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