compute the mean of this rdd e2 80 99s elements

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1sc.parallelize([1, 2, 3]).mean()
2# 2.0

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add up the elements in this rdd sorts this rdd by the given keyfunc aggregate the elements of each partition 2c and then the results for all the partitions applies a function to all elements of this rdd return a new rdd by applying a function to each element of this rdd return an rdd of grouped items find the minimum item in this rdd get derivative of interp1d return a new rdd containing the distinct elements in this rdd return an rdd with the values of each tuple return the intersection of this rdd and another one compute the variance of this rdd e2 80 99s elements create a new rdd of int containing elements from start to end 28exclusive 29 2c increased by step every element return the number of elements in this rdd return the cartesian product of this rdd and another one 2c that is 2c the rdd of all pairs of elements 28a 2c b 29 where a is in self and b is in other return an rdd created by coalescing all elements within each partition into a list pyspark rdd method reduces the elements of this rdd using the specified commutative and associative binary operator sorts this rdd 2c which is assumed to consist of 28key 2c value 29 pairs find the maximum item in this rdd

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compute the mean of this rdd e2 80 99s elements compute the variance of this rdd e2 80 99s elements compute the mean of this rdd e2 80 99s elements