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pandas_date_and_time.py
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pandas_date_and_time.py
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# Copyright 2021 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.
def pandas_date_and_time():
# [START bigquery_pandas_date_create]
import datetime
import pandas as pd
import db_dtypes # noqa import to register dtypes
dates = pd.Series([datetime.date(2021, 9, 17), "2021-9-18"], dtype="dbdate")
# [END bigquery_pandas_date_create]
# [START bigquery_pandas_date_as_datetime]
datetimes = dates.astype("datetime64")
# [END bigquery_pandas_date_as_datetime]
# [START bigquery_pandas_date_sub]
dates2 = pd.Series(["2021-1-1", "2021-1-2"], dtype="dbdate")
diffs = dates - dates2
# [END bigquery_pandas_date_sub]
# [START bigquery_pandas_date_add_offset]
do = pd.DateOffset(days=1)
after = dates + do
before = dates - do
# [END bigquery_pandas_date_add_offset]
# [START bigquery_pandas_time_create]
times = pd.Series([datetime.time(1, 2, 3, 456789), "12:00:00.6"], dtype="dbtime")
# [END bigquery_pandas_time_create]
# [START bigquery_pandas_time_as_timedelta]
timedeltas = times.astype("timedelta64")
# [END bigquery_pandas_time_as_timedelta]
# Combine datetime64 and timedelta64 to confirm adding dates and times are
# equivalent.
combined0 = datetimes + timedeltas
# [START bigquery_pandas_combine_date_time]
combined = dates + times
# [END bigquery_pandas_combine_date_time]
return (
dates,
datetimes,
dates2,
diffs,
do,
after,
before,
times,
timedeltas,
combined,
combined0,
)