Im using Spark 2.0.
I have a column of my dataframe containing a WrappedArray
of WrappedArrays of Float.
An example of a row would be:
[[1.0 2.0 2.0][6.0 5.0 2.0][4.0 2.0 3.0]]
Im trying to transform this column into an Array[Array[Float]]
.
What I tried so far is the following:
dataframe.select("mycolumn").rdd.map(r => r.asInstanceOf[Array[Array[Float]]])
but I get the following error:
Caused by: java.lang.ClassCastException:
org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema cannot be cast to [[F
Any idea would be highly appreciated. Thanks
Try this:
val wawa: WrappedArray[WrappedArray[Float]] = null
val res: Array[Array[Float]] = wawa.map(inner => inner.array).toArray
It compiles for me
Following @sami-badawi 's answer I am posting the answer for those like me who started from a dataframe.
dataframe.select("mycolumn").rdd.map
(row => row.get(0).asInstanceOf[WrappedArray[WrappedArray[Float]]].array.map(x=>x.toArray))
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