apache-spark - 如何从Spark Dataframe中的Row对象获取值？

Question

对于

averageCount = (wordCountsDF
                .groupBy().mean()).head()

我懂了

Row(avg(count)=1.6666666666666667)

但是当我尝试:

averageCount = (wordCountsDF
                .groupBy().mean()).head().getFloat(0)

我收到以下错误:

AttributeError: getFloat --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) in () 1 # TODO: Replace with appropriate code ----> 2 averageCount = (wordCountsDF 3 .groupBy().mean()).head().getFloat(0) 4 5 print averageCount

/databricks/spark/python/pyspark/sql/types.py in getattr(self, item) 1270 raise AttributeError(item) 1271
except ValueError: -> 1272 raise AttributeError(item) 1273 1274 def setattr(self, key, value):

AttributeError: getFloat

我究竟做错了什么？

Answer 1

我想到了。这将为我返回值:

averageCount = (wordCountsDF
                .groupBy().mean()).head()[0]