Edamame Edamame - 2 months ago 16
Python Question

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

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")


The detailed error message is:

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


Does anyone know what I did wrong here? Thanks!

Answer

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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