WebMar 24, 2024 · Use a list comprehension to sum the corresponding elements of each sub-list and return the resulting list: Define the input lst with a list of lists: Call the … WebTry this: df = df.withColumn('result', sum(df[col] for col in df.columns)) df.columns will be list of columns from df. [TL;DR,] You can do this: from functools import reduce from operator import add from pyspark.sql.functions import col df.na.fill(0).withColumn("result" ,reduce(add, [col(x) for x in df.columns]))
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