- 2.28.0 (latest)
 - 2.27.0
 - 2.26.0
 - 2.25.0
 - 2.24.0
 - 2.23.0
 - 2.22.0
 - 2.21.0
 - 2.20.0
 - 2.19.0
 - 2.18.0
 - 2.17.0
 - 2.16.0
 - 2.15.0
 - 2.14.0
 - 2.13.0
 - 2.12.0
 - 2.11.0
 - 2.10.0
 - 2.9.0
 - 2.8.0
 - 2.7.0
 - 2.6.0
 - 2.5.0
 - 2.4.0
 - 2.3.0
 - 2.2.0
 - 1.36.0
 - 1.35.0
 - 1.34.0
 - 1.33.0
 - 1.32.0
 - 1.31.0
 - 1.30.0
 - 1.29.0
 - 1.28.0
 - 1.27.0
 - 1.26.0
 - 1.25.0
 - 1.24.0
 - 1.22.0
 - 1.21.0
 - 1.20.0
 - 1.19.0
 - 1.18.0
 - 1.17.0
 - 1.16.0
 - 1.15.0
 - 1.14.0
 - 1.13.0
 - 1.12.0
 - 1.11.1
 - 1.10.0
 - 1.9.0
 - 1.8.0
 - 1.7.0
 - 1.6.0
 - 1.5.0
 - 1.4.0
 - 1.3.0
 - 1.2.0
 - 1.1.0
 - 1.0.0
 - 0.26.0
 - 0.25.0
 - 0.24.0
 - 0.23.0
 - 0.22.0
 - 0.21.0
 - 0.20.1
 - 0.19.2
 - 0.18.0
 - 0.17.0
 - 0.16.0
 - 0.15.0
 - 0.14.1
 - 0.13.0
 - 0.12.0
 - 0.11.0
 - 0.10.0
 - 0.9.0
 - 0.8.0
 - 0.7.0
 - 0.6.0
 - 0.5.0
 - 0.4.0
 - 0.3.0
 - 0.2.0
 
StructAccessor(data: bigframes.series.Series)Accessor object for structured data properties of the Series values.
Properties
dtypes
Return the dtype object of each child field of the struct.
Examples:
>>> import bigframes.pandas as bpd
>>> s = bpd.Series(
...     [
...         {"version": 1, "project": "pandas"},
...         {"version": 2, "project": "pandas"},
...         {"version": 1, "project": "numpy"},
...     ],
...     dtype=bpd.ArrowDtype(pa.struct(
...         [("version", pa.int64()), ("project", pa.string())]
...     ))
... )
>>> s.struct.dtypes
version     int64[pyarrow]
project    string[pyarrow]
dtype: object
Methods
explode
explode() -> bigframes.dataframe.DataFrameExtract all child fields of a struct as a DataFrame.
Examples:
>>> import bigframes.pandas as bpd
>>> s = bpd.Series(
...     [
...         {"version": 1, "project": "pandas"},
...         {"version": 2, "project": "pandas"},
...         {"version": 1, "project": "numpy"},
...     ],
...     dtype=bpd.ArrowDtype(pa.struct(
...         [("version", pa.int64()), ("project", pa.string())]
...     ))
... )
Extract all child fields.
>>> s.struct.explode()
   version project
0        1  pandas
1        2  pandas
2        1   numpy
<BLANKLINE>
[3 rows x 2 columns]
| Returns | |
|---|---|
| Type | Description | 
DataFrame | 
        The data corresponding to all child fields. | 
field
field(name_or_index: str | int) -> bigframes.series.SeriesExtract a child field of a struct as a Series.
Examples:
>>> import bigframes.pandas as bpd
>>> s = bpd.Series(
...     [
...         {"version": 1, "project": "pandas"},
...         {"version": 2, "project": "pandas"},
...         {"version": 1, "project": "numpy"},
...     ],
...     dtype=bpd.ArrowDtype(pa.struct(
...         [("version", pa.int64()), ("project", pa.string())]
...     ))
... )
Extract by field name.
>>> s.struct.field("project")
0    pandas
1    pandas
2     numpy
Name: project, dtype: string
Extract by field index.
>>> s.struct.field(0)
0    1
1    2
2    1
Name: version, dtype: Int64
| Returns | |
|---|---|
| Type | Description | 
Series | 
        The data corresponding to the selected child field. |