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}")