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.
- 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.
resetted : DataFrame