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feat: Series.struct.dtypes #599

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Merged
merged 1 commit into from
Apr 22, 2024
Merged

feat: Series.struct.dtypes #599

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12 changes: 12 additions & 0 deletions 12 bigframes/operations/structs.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,9 +15,11 @@
from __future__ import annotations

import bigframes_vendored.pandas.core.arrays.arrow.accessors as vendoracessors
import pandas as pd

from bigframes.core import log_adapter
import bigframes.dataframe
import bigframes.dtypes
import bigframes.operations
import bigframes.operations.base
import bigframes.series
Expand Down Expand Up @@ -45,3 +47,13 @@ def explode(self) -> bigframes.dataframe.DataFrame:
return bigframes.pandas.concat(
[self.field(i) for i in range(pa_type.num_fields)], axis="columns"
)

def dtypes(self) -> pd.Series:
pa_type = self._dtype.pyarrow_dtype
return pd.Series(
data=[
bigframes.dtypes.arrow_dtype_to_bigframes_dtype(pa_type.field(i).type)
for i in range(pa_type.num_fields)
],
index=[pa_type.field(i).name for i in range(pa_type.num_fields)],
)
29 changes: 29 additions & 0 deletions 29 third_party/bigframes_vendored/pandas/core/arrays/arrow/accessors.py
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Expand Up @@ -92,3 +92,32 @@ def explode(self):
The data corresponding to all child fields.
"""
raise NotImplementedError(constants.ABSTRACT_METHOD_ERROR_MESSAGE)

def dtypes(self):
"""
Return the dtype object of each child field of the struct.

**Examples:**

>>> import bigframes.pandas as bpd
>>> import pyarrow as pa
>>> bpd.options.display.progress_bar = None
>>> 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
project string[pyarrow]
dtype: object

Returns:
A *pandas* Series with the data type of all child fields.
"""
raise NotImplementedError(constants.ABSTRACT_METHOD_ERROR_MESSAGE)
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