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# pandas.Series.reset_index

`Series.``reset_index`(level=None, drop=False, name=None, inplace=False)

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

  Parameters : | 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)
  Returns : | resetted : DataFrame, or Series if drop == True

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