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docs: bigframes.options.bigquery.project and location are optional in some circumstances #548

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Apr 3, 2024
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3 changes: 2 additions & 1 deletion samples/snippets/quickstart.py
Original file line number Diff line number Diff line change
Expand Up @@ -29,8 +29,9 @@ def run_quickstart(project_id: str):
import bigframes.pandas as bpd

# Set BigQuery DataFrames options
# Note: The project option is not required in all environments.
# On BigQuery Studio, the project ID is automatically detected.
bpd.options.bigquery.project = your_gcp_project_id
bpd.options.bigquery.location = "us"

# Create a DataFrame from a BigQuery table
query_or_table = "bigquery-public-data.ml_datasets.penguins"
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7 changes: 7 additions & 0 deletions samples/snippets/set_options_test.py
Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,14 @@ def test_bigquery_dataframes_set_options():
REGION = "US" # @param {type:"string"}

# Set BigQuery DataFrames options
# Note: The project option is not required in all environments.
# On BigQuery Studio, the project ID is automatically detected.
bpd.options.bigquery.project = PROJECT_ID

# Note: The location option is not required.
# It defaults to the location of the first table or query
# passed to read_gbq(). For APIs where a location can't be
# auto-detected, the location defaults to the "US" location.
bpd.options.bigquery.location = REGION

# [END bigquery_dataframes_set_options]
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