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
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.
提示
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.
实际案例
>>> 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