xorbits.pandas.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.

提示

This routine will explode list-likes including lists, tuples, sets, Series, and np.ndarray. The result dtype of the subset rows will be object. Scalars will be returned unchanged, and empty list-likes will result in a np.nan for that row. In addition, the ordering of elements in the output will be non-deterministic when exploding sets.

Reference the user guide for more examples.

实际案例

>>> s = pd.Series([[1, 2, 3], 'foo', [], [3, 4]])  
>>> s  
0    [1, 2, 3]
1          foo
2           []
3       [3, 4]
dtype: object

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

This docstring was copied from pandas.core.series.Series.