l = [('Alice2', 1),('Alice3', 2),('Alice3', 3),('Alice1', 4),('Alice3', 5)]
df = spark.createDataFrame(l,['name', 'age'])
df.show()
print df.approxQuantile("age", [0.5],0)
the result is [4.0], why not [3.0]? 0.5 is the median
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This is not programming language related. – eliasah Oct 23 '17 at 08:29