Source code for bigframes.bigquery._operations.datetime
# 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.
from bigframes import operations as ops
from bigframes import series
[docs]
def unix_seconds(input: series.Series) -> series.Series:
"""Converts a timestmap series to unix epoch seconds
**Examples:**
>>> import bigframes.pandas as bpd
>>> import bigframes.bigquery as bbq
>>> s = bpd.Series([pd.Timestamp("1970-01-02", tz="UTC"), pd.Timestamp("1970-01-03", tz="UTC")])
>>> bbq.unix_seconds(s)
0 86400
1 172800
dtype: Int64
Args:
input (bigframes.pandas.Series):
A timestamp series.
Returns:
bigframes.pandas.Series: A new series of unix epoch in seconds.
"""
return input._apply_unary_op(ops.UnixSeconds())
[docs]
def unix_millis(input: series.Series) -> series.Series:
"""Converts a timestmap series to unix epoch milliseconds
**Examples:**
>>> import bigframes.pandas as bpd
>>> import bigframes.bigquery as bbq
>>> s = bpd.Series([pd.Timestamp("1970-01-02", tz="UTC"), pd.Timestamp("1970-01-03", tz="UTC")])
>>> bbq.unix_millis(s)
0 86400000
1 172800000
dtype: Int64
Args:
input (bigframes.pandas.Series):
A timestamp series.
Returns:
bigframes.pandas.Series: A new series of unix epoch in milliseconds.
"""
return input._apply_unary_op(ops.UnixMillis())
[docs]
def unix_micros(input: series.Series) -> series.Series:
"""Converts a timestmap series to unix epoch microseconds
**Examples:**
>>> import bigframes.pandas as bpd
>>> import bigframes.bigquery as bbq
>>> s = bpd.Series([pd.Timestamp("1970-01-02", tz="UTC"), pd.Timestamp("1970-01-03", tz="UTC")])
>>> bbq.unix_micros(s)
0 86400000000
1 172800000000
dtype: Int64
Args:
input (bigframes.pandas.Series):
A timestamp series.
Returns:
bigframes.pandas.Series: A new series of unix epoch in microseconds.
"""
return input._apply_unary_op(ops.UnixMicros())