bpd.DataFrame.reset_index¶
-
DataFrame.
reset_index
(*, drop=False)[source]¶ Reset the index.
Reset the index of the DataFrame, and use the default one instead.
Parameters: drop (bool, default False, keyword only) – Do not try to insert index into dataframe columns. This resets the index to the default integer index. Returns: - DataFrame – DataFrame with the new index.
- Reset the index of the DataFrame, and use the default one
- instead. If the DataFrame has a MultiIndex, this method can
- remove one or more levels.
Examples
>>> df = bpd.DataFrame().assign(name=['Sally', 'George', 'Bill', 'Ann'], ... age=[21, 25, 18, 28], ... height_cm=[161, 168, 171, 149]) >>> sorted = df.sort_values(by='age') >>> sorted name age height_cm 2 Bill 18 171 0 Sally 21 161 1 George 25 168 3 Ann 28 149 >>> sorted.reset_index(drop=True) name age height_cm 0 Bill 18 171 1 Sally 21 161 2 George 25 168 3 Ann 28 149