snowflake.snowpark.functions.percentile_cont¶

snowflake.snowpark.functions.percentile_cont(percentile: float) → Column[source] (https://github.com/snowflakedb/snowpark-python/blob/v1.16.0/src/snowflake/snowpark/functions.py#L6900-L6926)¶

Return a percentile value based on a continuous distribution of the input column. If no input row lies exactly at the desired percentile, the result is calculated using linear interpolation of the two nearest input values. NULL values are ignored in the calculation.

Parameters:

percentile – the percentile of the value that you want to find. The percentile must be a constant between 0.0 and 1.0. For example, if you want to find the value at the 90th percentile, specify 0.9.

Example

>>> df = session.create_dataframe([
...     (0, 0), (0, 10), (0, 20), (0, 30), (0, 40),
...     (1, 10), (1, 20), (2, 10), (2, 20), (2, 25),
...     (2, 30), (3, 60), (4, None)
... ], schema=["k", "v"])
>>> df.group_by("k").agg(percentile_cont(0.25).within_group("v").as_("percentile")).sort("k").collect()
[Row(K=0, PERCENTILE=Decimal('10.000')), Row(K=1, PERCENTILE=Decimal('12.500')), Row(K=2, PERCENTILE=Decimal('17.500')), Row(K=3, PERCENTILE=Decimal('60.000')), Row(K=4, PERCENTILE=None)]

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