ListAccessor(
data=None,
index: vendored_pandas_typing.Axes | None = None,
dtype: typing.Optional[
bigframes.dtypes.DtypeString | bigframes.dtypes.Dtype
] = None,
name: str | None = None,
copy: typing.Optional[bool] = None,
*,
session: typing.Optional[bigframes.session.Session] = None
)
Accessor object for list data properties of the Series values.
Methods
__getitem__
__getitem__(key: typing.Union[int, slice]) -> bigframes.series.Series
Index or slice lists in the Series.
Examples:
>>> import bigframes.pandas as bpd
>>> import pyarrow as pa
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(
... [
... [1, 2, 3],
... [3],
... ],
... dtype=bpd.ArrowDtype(pa.list_(pa.int64())),
... )
>>> s.list[0]
0 1
1 3
dtype: Int64
Parameter | |
---|---|
Name | Description |
key |
int slice
Index or slice of indices to access from each list. For integer indices, only non-negative values are accepted. For slices, you must use a non-negative start, a non-negative end, and a step of 1. |
Returns | |
---|---|
Type | Description |
bigframes.series.Series |
The list at requested index. |
len
len()
Compute the length of each list in the Series.
See Also:
- `StringMethods.len` : Compute the length of each element in the Series/Index.
Examples:
>>> import bigframes.pandas as bpd
>>> import pyarrow as pa
>>> bpd.options.display.progress_bar = None
>>> s = bpd.Series(
... [
... [1, 2, 3],
... [3],
... ],
... dtype=bpd.ArrowDtype(pa.list_(pa.int64())),
... )
>>> s.list.len()
0 3
1 1
dtype: Int64
Returns | |
---|---|
Type | Description |
bigframes.series.Series |
A Series or Index of integer values indicating the length of each element in the Series or Index. |