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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
#
# https://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
import IPython
from . import _helpers
if typing.TYPE_CHECKING:
import pandas
def query_with_parameters() -> "pandas.DataFrame":
ip = IPython.get_ipython()
ip.extension_manager.load_extension("google.cloud.bigquery")
sample = """
# [START bigquery_jupyter_query_params_scalars]
%%bigquery --params {"corpus_name": "hamlet", "limit": 10}
SELECT word, SUM(word_count) as count
FROM `bigquery-public-data.samples.shakespeare`
WHERE corpus = @corpus_name
GROUP BY word
ORDER BY count DESC
LIMIT @limit
# [END bigquery_jupyter_query_params_scalars]
"""
result = ip.run_cell(_helpers.strip_region_tags(sample))
result.raise_error() # Throws an exception if the cell failed.
df = ip.user_ns["_"] # Retrieves last returned object in notebook session
return df
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