'Difference .sum("salary") and .sum(df.salary) in pyspark
I'm new to pyspark.
What is the difference between .sum("salary") and .sum(df.salary) in pyspark? Example below.
df_t=df.groupBy(df.dept).avg('salary') #return no error
df_t=df.groupBy(df.dept).avg(df.salary) #return error "Column is not iterable"
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