如何从Spark Dataframe中的Row对象获取值? [英] How to get a value from the Row object in Spark Dataframe?

问题描述

对于

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

我知道

行(平均(count)= 1.6666666666666667)

Row(avg(count)=1.6666666666666667)

但是当我尝试时:

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

我收到以下错误:

AttributeError:getFloat -------------------------------------------------- ------------------------- AttributeError Traceback(最近一次调用 最后)在() 1#TODO:替换为适当的代码 ----> 2 averageCount =(wordCountsDF 3 .groupBy().mean()).head().getFloat(0) 4 5次均值计数

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(自己， item)1270引发AttributeError(item)1271
除了ValueError: -> 1272提高AttributeError(item)1273 1274 def setattr (自身，键，值):

/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

AttributeError: getFloat

我在做什么错了?

推荐答案

我知道了.这将为我返回值:

I figured it out. This will return me the value:

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

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