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Series.reset_index(level=None, drop=False, name=None, inplace=False)[source]

Analogous to the pandas.DataFrame.reset_index() function, see docstring there.


level : int, str, tuple, or list, default None

Only remove the given levels from the index. Removes all levels by default

drop : boolean, default False

Do not try to insert index into dataframe columns

name : object, default None

The name of the column corresponding to the Series values

inplace : boolean, default False

Modify the Series in place (do not create a new object)


resetted : DataFrame, or Series if drop == True

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