asmello commented on issue #23882: [SPARK-26979][PySpark][WIP] Add missing column name support for some SQL functions URL: https://github.com/apache/spark/pull/23882#issuecomment-467047983 > PySpark side can also be easily done by `lower(df.col)` I deem this to be an anti-pattern, actually. By defining an explicit dependency on the `df` dataframe, several things stink: * You might rename the dataframe variable, and then this breaks - once for every column you use; * You rely on the variable name being very short for this to be convenient to write; * If your column name has spaces or other unsupported characters, you have to access it by df["foo bar"], which is just as bad as col("foo bar"); * This will never be as clean and readable as simply passing the column name as a string.
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