mars.dataframe.Series.explode

Series.explode(ignore_index=False)

Transform each element of a list-like to a row.

参数

ignore_index (bool, default False) – If True, the resulting index will be labeled 0, 1, …, n - 1.

返回

Exploded lists to rows; index will be duplicated for these rows.

返回类型

Series

参见

Series.str.split

Split string values on specified separator.

Series.unstack

Unstack, a.k.a. pivot, Series with MultiIndex to produce DataFrame.

DataFrame.melt

Unpivot a DataFrame from wide format to long format.

DataFrame.explode

Explode a DataFrame from list-like columns to long format.

备注

This routine will explode list-likes including lists, tuples, Series, and np.ndarray. The result dtype of the subset rows will be object. Scalars will be returned unchanged. Empty list-likes will result in a np.nan for that row.

示例

>>> import mars.tensor as mt
>>> import mars.dataframe as md
>>> s = md.Series([[1, 2, 3], 'foo', [], [3, 4]])
>>> s.execute()
0    [1, 2, 3]
1          foo
2           []
3       [3, 4]
dtype: object

>>> s.explode().execute()
0      1
0      2
0      3
1    foo
2    NaN
3      3
3      4
dtype: object