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docs: use pandas API instead of pandas-like or pandas-compatible (#1825)
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README.rst

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@@ -6,7 +6,8 @@ BigQuery DataFrames (BigFrames)
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BigQuery DataFrames (also known as BigFrames) provides a Pythonic DataFrame
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and machine learning (ML) API powered by the BigQuery engine.
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* ``bigframes.pandas`` provides a pandas-compatible API for analytics.
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* `bigframes.pandas` provides a pandas API for analytics. Many workloads can be
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migrated from pandas to bigframes by just changing a few imports.
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* ``bigframes.ml`` provides a scikit-learn-like API for ML.
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BigQuery DataFrames is an open-source package.

notebooks/getting_started/bq_dataframes_template.ipynb

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"\n",
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"BigQuery DataFrames (also known as BigFrames) provides a Pythonic DataFrame and machine learning (ML) API powered by the BigQuery engine.\n",
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"\n",
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"* `bigframes.pandas` provides a pandas-like API for analytics.\n",
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"* `bigframes.pandas` provides a pandas API for analytics. Many workloads can be\n",
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" migrated from pandas to bigframes by just changing a few imports.\n",
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"* `bigframes.ml` provides a scikit-learn-like API for ML.\n",
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"* `bigframes.ml.llm` provides API for large language models including Gemini.\n",
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"\n",

third_party/bigframes_vendored/pandas/io/gbq.py

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* (Recommended) Set the ``index_col`` argument to one or more columns.
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Unique values for the row labels are recommended. Duplicate labels
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are possible, but note that joins on a non-unique index can duplicate
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rows via pandas-like outer join behavior.
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rows via pandas-compatible outer join behavior.
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.. note::
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By default, even SQL query inputs with an ORDER BY clause create a

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