pyspark.sql.DataFrame.freqItems

DataFrame.freqItems(cols, support=None)[source]

Finding frequent items for columns, possibly with false positives. Using the frequent element count algorithm described in “https://doi.org/10.1145/762471.762473, proposed by Karp, Schenker, and Papadimitriou”. DataFrame.freqItems() and DataFrameStatFunctions.freqItems() are aliases.

Note

This function is meant for exploratory data analysis, as we make no guarantee about the backward compatibility of the schema of the resulting DataFrame.

Parameters

  • cols – Names of the columns to calculate frequent items for as a list or tuple of strings.

  • support – The frequency with which to consider an item ‘frequent’. Default is 1%. The support must be greater than 1e-4.

New in version 1.4.

pyspark.sql.DataFrame.foreachPartition pyspark.sql.DataFrame.groupBy