PySpark converting a column of type ‘map’ to multiple columns in a dataframe

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Since keys of the MapType are not a part of the schema you’ll have to collect these first for example like this:

from pyspark.sql.functions import explode

keys = (df
    .select(explode("Parameters"))
    .select("key")
    .distinct()
    .rdd.flatMap(lambda x: x)
    .collect())

When you have this all what is left is simple select:

from pyspark.sql.functions import col

exprs = [col("Parameters").getItem(k).alias(k) for k in keys]
df.select(*exprs)

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