Method reset_index

dask/dataframe/dask_expr/_collection.py:653–673

Reset the index to the default index. Note that unlike in ``pandas``, the reset index for a Dask DataFrame will not be monotonically increasing from 0. Instead, it will restart at 0 for each partition (e.g. ``index1 = [0, ..., 10], index2 = [0, ...]``). This is due t

(self, drop: bool = False)

        self._expr = _expr

    def reset_index(self, drop: bool = False):
        """Reset the index to the default index.

        Note that unlike in ``pandas``, the reset index for a Dask DataFrame will
        not be monotonically increasing from 0. Instead, it will restart at 0
        for each partition (e.g. ``index1 = [0, ..., 10], index2 = [0, ...]``).
        This is due to the inability to statically know the full length of the
        index.

        For DataFrame with multi-level index, returns a 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
        ----------
        drop : boolean, default False
            Do not try to insert index into dataframe columns.
        """
        return new_collection(expr.ResetIndex(self, drop))

    def head(self, n: int = 5, npartitions=1, compute: bool = True):
        """First n rows of the dataset