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[DOC-13282] Explain the statistical sampling accessor #4404

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[DOC-13282] Explain the statistical sampling accessor #4404

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6 changes: 6 additions & 0 deletions src/snowflake/snowpark/dataframe_stat_functions.py
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Expand Up @@ -426,6 +426,12 @@ def sample_by(
) -> "snowflake.snowpark.DataFrame":
"""Returns a DataFrame containing a stratified sample without replacement, based on a ``dict`` that specifies the fraction for each stratum.

``df.stat`` is the :class:`DataFrameStatFunctions` accessor for ``df``;
it groups statistical operations and doesn't select a column named
``stat``. ``df.stat.sample_by(...)``, ``df.sample_by(...)``, and
``df.sampleBy(...)`` call the same sampling operation. Separate calls
can return different random samples.

Example::

>>> df = session.create_dataframe([("Bob", 17), ("Alice", 10), ("Nico", 8), ("Bob", 12)], schema=["name", "age"])
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