Series.
reset_index
Generate a new DataFrame or Series with the index reset.
This is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to the default before another operation.
For a Series with a MultiIndex, only remove the specified levels from the index. Removes all levels by default.
Just reset the index, without inserting it as a column in the new DataFrame.
The name to use for the column containing the original Series values. Uses self.name by default. This argument is ignored when drop is True.
Modify the Series in place (do not create a new object).
When drop is False (the default), a DataFrame is returned. The newly created columns will come first in the DataFrame, followed by the original Series values. When drop is True, a Series is returned. In either case, if inplace=True, no value is returned.
inplace=True
Examples
>>> s = ps.Series([1, 2, 3, 4], index=pd.Index(['a', 'b', 'c', 'd'], name='idx'))
Generate a DataFrame with default index.
>>> s.reset_index() idx 0 0 a 1 1 b 2 2 c 3 3 d 4
To specify the name of the new column use name.
>>> s.reset_index(name='values') idx values 0 a 1 1 b 2 2 c 3 3 d 4
To generate a new Series with the default set drop to True.
>>> s.reset_index(drop=True) 0 1 1 2 2 3 3 4 dtype: int64
To update the Series in place, without generating a new one set inplace to True. Note that it also requires drop=True.
drop=True
>>> s.reset_index(inplace=True, drop=True) >>> s 0 1 1 2 2 3 3 4 dtype: int64