Have the possibility for Series.unique() to return a Series rather than an array

I admit I haven’t looked at the code so there may be reasons for this, but I’ve found myself in the need of squeezing out duplicates from a Series but keeping the results as a Series.

Series.unique() however returns an array, so in my code I have to construct a Series twice:

series = pandas.Series([1,2,3,3])
series = pandas.Series(series.unique())

Is this by design? If so, feel free to close this bug.

[lazarillo]

At the risk of appearing to re-open something that is dead, I thought I’d just summarize for any newcomers to this page:

series.unique was left unchanged (returns a numpy ndarray) drop_duplicates and duplicated were added to Series.

So, if you wanted to do something like the OP and wanted to keep the indices, you’d perform:

series = pandas.Series([1,2,3,3]).drop_duplicates(keep='first')

(keep='first' retains the first occurrence of any duplicates, keep='last' retains the last occurrence, and keep=False retains NONE of the duplicates. keep='first' is the default.)

[ddebernardy]

In case anyone feels like writing a PR, the pandas.Series.unique docs doesn’t mention what @lazarillo says and could use an extra line that references pandas.Series.drop_duplicates (and possibly vice versa).