Skip to content

DOC: Fixing EX01 - Added examples #54164

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Jul 17, 2023
Merged

DOC: Fixing EX01 - Added examples #54164

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
78ca3ff
Example read_gbq
DeaMariaLeon Jul 17, 2023
aeeab8c
Merge remote-tracking branch 'upstream/main' into Jul14-3
DeaMariaLeon Jul 17, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 0 additions & 1 deletion ci/code_checks.sh
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -95,7 +95,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
pandas.read_sas \
pandas.read_spss \
pandas.read_sql_query \
pandas.read_gbq \
pandas.io.stata.StataReader.data_label \
pandas.io.stata.StataReader.value_labels \
pandas.io.stata.StataReader.variable_labels \
Expand Down
13 changes: 13 additions & 0 deletions pandas/io/gbq.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -162,6 +162,19 @@ def read_gbq(
--------
pandas_gbq.read_gbq : This function in the pandas-gbq library.
DataFrame.to_gbq : Write a DataFrame to Google BigQuery.

Examples
--------
Example taken from `Google BigQuery documentation
<https://cloud.google.com/bigquery/docs/pandas-gbq-migration>`_

>>> sql = "SELECT name FROM table_name WHERE state = 'TX' LIMIT 100;"
>>> df = pd.read_gbq(sql, dialect="standard") # doctest: +SKIP
>>> project_id = "your-project-id" # doctest: +SKIP
>>> df = pd.read_gbq(sql,
... project_id=project_id,
... dialect="standard"
... ) # doctest: +SKIP
"""
pandas_gbq = _try_import()

Expand Down