Source code for bigframes.pandas.core.tools.timedeltas

# Copyright 2025 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import typing

from bigframes_vendored.pandas.core.tools import (
    timedeltas as vendored_pandas_timedeltas,
)
import pandas as pd
import pandas.api.types as pdtypes

from bigframes import operations as ops
from bigframes import series, session


[docs] def to_timedelta( arg, unit: typing.Optional[vendored_pandas_timedeltas.UnitChoices] = None, *, session: typing.Optional[session.Session] = None, ): if isinstance(arg, series.Series): canonical_unit = "us" if unit is None else _canonicalize_unit(unit) return arg._apply_unary_op(ops.ToTimedeltaOp(canonical_unit)) if pdtypes.is_list_like(arg): return to_timedelta(series.Series(arg, session=session), unit, session=session) return pd.to_timedelta(arg, unit)
to_timedelta.__doc__ = vendored_pandas_timedeltas.to_timedelta.__doc__ def _canonicalize_unit( unit: vendored_pandas_timedeltas.UnitChoices, ) -> typing.Literal["us", "ms", "s", "m", "h", "d", "W"]: if unit in {"w", "W"}: return "W" if unit in {"D", "d", "days", "day"}: return "d" if unit in {"hours", "hour", "hr", "h"}: return "h" if unit in {"m", "minute", "min", "minutes"}: return "m" if unit in {"s", "seconds", "sec", "second"}: return "s" if unit in {"ms", "milliseconds", "millisecond", "milli", "millis"}: return "ms" if unit in {"us", "microseconds", "microsecond", "µs", "micro", "micros"}: return "us" raise TypeError(f"Unrecognized unit: {unit}")