# pandas.DataFrame.reset_index

`DataFrame.``reset_index`(level=None, drop=False, inplace=False, col_level=0, col_fill='')

  For DataFrame with multi-level index, return new DataFrame with labeling information in the columns under the index names, defaulting to ‘level_0’, ‘level_1’, etc. if any are None. For a standard index, the index name will be used (if set), otherwise a default ‘index’ or ‘level_0’ (if ‘index’ is already taken) will be used.

  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. This resets the index to the default integer index.

  inplace : boolean, default False

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

  col_level : int or str, default 0

  > If the columns have multiple levels, determines which level the labels are inserted into. By default it is inserted into the first level.

  col_fill : object, default ‘’

  > If the columns have multiple levels, determines how the other levels are named. If None then the index name is repeated.

  Returns: | resetted : DataFrame