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docs: add a code sample using bpd.options.bigquery.ordering_mode = "partial" #909

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merged 12 commits into from
Nov 25, 2024
Merged
45 changes: 45 additions & 0 deletions samples/snippets/ordering_mode_partial_test.py
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# Copyright 2023 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 test_quickstart() -> None:
import bigframes.pandas

# We need a fresh session since we're modifying connection options.
bigframes.pandas.close_session()

# [START bigquery_bigframes_ordering_mode_partial]
import bigframes.pandas as bpd

bpd.options.bigquery.ordering_mode = "partial"
# [END bigquery_bigframes_ordering_mode_partial]

# [START bigquery_bigframes_ordering_mode_partial_ambiguous_window_warning]
import warnings

import bigframes.exceptions

warnings.simplefilter(
"ignore", category=bigframes.exceptions.AmbiguousWindowWarning
)
# [END bigquery_bigframes_ordering_mode_partial_ambiguous_window_warning]

df = bpd.DataFrame({"column": [1, 2, 1, 3, 1, 2, 3]})

# [START bigquery_bigframes_ordering_mode_partial_drop_duplicates]
# Avoid order dependency by using groupby instead of drop_duplicates.
unique_col = df.groupby(["column"], as_index=False).size().drop(columns="size")
# [END bigquery_bigframes_ordering_mode_partial_drop_duplicates]

assert len(unique_col) == 3