Pyspark:How to calculate avg and count in a single groupBy? [duplicate]

Answer 1

For the same column:

from pyspark.sql import functions as F
df.groupBy("Profession").agg(F.mean('Age'), F.count('Age')).show()

If you're able to use different columns:

df.groupBy("Profession").agg({'Age':'avg', 'Gender':'count'}).show()