DataFrame.reset_index()

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

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:

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

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

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.DataFrame.reset_index.html

doc_Pandas

2017-01-12 04:46:25

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