AttributeError：“ DataFrame”对象没有属性“ map”

Question

我想转换火花数据框架以使用以下代码添加：

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")

详细的错误消息是：

---------------------------------------------------------------------------
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'

有人知道我在这里做错了吗？谢谢！

Answer 1

您无法map使用数据框，但可以将数据框转换为RDD并通过映射将其映射spark_df.rdd.map()。在Spark
2.0之前，spark_df.map别名为spark_df.rdd.map()。使用Spark 2.0，您必须先明确调用.rdd。