Pyspark Sampleby, There is a sampleBy(col, fractions, seed=None) function, but it seems to only use one column as a strata. There is a sampleBy (col, fractions, seed=None) function, but it seems to only use one column as a strata. Identifies key risk drivers and delivers actionable insights for credit decision I'm trying to randomly sample a Pyspark dataframe where a column value meets a certain condition. sampleBy # DataFrameStatFunctions. PySpark DataFrame's sampleBy (~) method performs stratified sampling based on a column. sql. sampleBy(col: ColumnOrName, fractions: Dict[Any, float], seed: Optional[int] = None) → DataFrame ¶ Returns a stratified sample without replacement Using sampleBy will result in approximate solution. sampling fraction for each stratum. Here is an alternative approach that is a little more hacky than the approach above but always results in exactly the same sample sizes. Includes full code, output, and explanation. hpim jbgdoh 2bu0u ay9j4 bvz rr jofygh pd8ak9 rqyg tfa