filter by dict() key in pySpark

[Franc Carter]

I have a DataFrame that has a Python dict() as one of the columns. I'd like
to filter he DataFrame for those Rows that where the dict() contains a
specific value. e.g something like this:-

    DF2 = DF1.filter('name' in DF1.params)

but that gives me this error

ValueError: Cannot convert column into bool: please use '&' for 'and', '|'
for 'or', '~' for 'not' when building DataFrame boolean expressions.

How do I express this correctly ?

thanks

-- 
Franc