AttributeError: 'DataFrame' 对象没有属性 'map' [英] AttributeError: 'DataFrame' object has no attribute 'map'

问题描述

我想使用以下代码转换要添加的 spark 数据框:

I wanted to convert the spark data frame to add using the code below:

from pyspark.mllib.clustering import KMeans
spark_df = sqlContext.createDataFrame(pandas_df)
rdd = spark_df.map(lambda data: Vectors.dense([float(c) for c in data]))
model = KMeans.train(rdd, 2, maxIterations=10, runs=30, initializationMode="random")

详细的错误信息是:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-11-a19a1763d3ac> in <module>()
      1 from pyspark.mllib.clustering import KMeans
      2 spark_df = sqlContext.createDataFrame(pandas_df)
----> 3 rdd = spark_df.map(lambda data: Vectors.dense([float(c) for c in data]))
      4 model = KMeans.train(rdd, 2, maxIterations=10, runs=30, initializationMode="random")

/home/edamame/spark/spark-2.0.0-bin-hadoop2.6/python/pyspark/sql/dataframe.pyc in __getattr__(self, name)
    842         if name not in self.columns:
    843             raise AttributeError(
--> 844                 "'%s' object has no attribute '%s'" % (self.__class__.__name__, name))
    845         jc = self._jdf.apply(name)
    846         return Column(jc)

AttributeError: 'DataFrame' object has no attribute 'map'

有谁知道我在这里做错了什么?谢谢！

Does anyone know what I did wrong here? Thanks!

推荐答案

你不能map一个数据帧，但是你可以通过执行spark_df将数据帧转换成一个RDD并映射它.rdd.map().在 Spark 2.0 之前，spark_df.map 将别名为 spark_df.rdd.map().对于 Spark 2.0，您必须首先显式调用 .rdd.

You can't map a dataframe, but you can convert the dataframe to an RDD and map that by doing spark_df.rdd.map(). Prior to Spark 2.0, spark_df.map would alias to spark_df.rdd.map(). With Spark 2.0, you must explicitly call .rdd first.

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