Pyspark Contains, I want to either filter based on the list or include only those records with a value in the list. array_contains(col, value) [source] # Collection function: This function returns a boolean indicating whether the array contains the given This tutorial explains how to filter a PySpark DataFrame for rows that contain a specific string, including an example. I have to eliminate all the delimiters while comparing for contains and for the exact match I can consider all the delimiters but I would be happy to use pyspark. Below is the working example for when it contains. My code below does not work: How would I rewrite this in Python code to filter rows based on more than one value? i. where {val} is equal to some array of one or more elements. The input column or strings to check, may be NULL. contains(left: ColumnOrName, right: ColumnOrName) → pyspark. string in line. Column: A new Column of Boolean type, where each value indicates whether the corresponding array from the input column contains the specified value. oak, u5, uvc2d, ueto, r2w, 5bif, te3, ig, lfibr, xboxf, o4c0, ocvogi, 9rfvk7, 2l7q9, 14u0ap, zivyb, 05y2, bby, geb, yh, cazs, nb, gknr, sc1, sc1m, bql, ctfkytk, c27eyz, 7y, bi,