Dataframe 0.14 Help

mean

Computes the mean of values.

Is available for numeric columns. Computed value has type Double. Use skipNA flag to skip NA values (null and NaN).

df.mean() // mean of values per every numeric column df.mean(skipNA = true) { age and weight } // mean of all values in `age` and `weight`, skips NA df.meanFor(skipNA = true) { age and weight } // mean of values per `age` and `weight` separately, skips NA df.meanOf { (weight ?: 0) / age } // median of expression evaluated for every row
df.mean() df.age.mean() df.groupBy { city }.mean() df.pivot { city }.mean() df.pivot { city }.groupBy { name.lastName }.mean()

See statistics for details on complex data aggregations.

Last modified: 27 September 2024