pyspark - get value of array type from dataframe

Question

My data frame is like below. I need to extract values from input Array Type column. Could you let me know how can I achieve this in pyspark.

None
root
 |-- input: array (nullable = true)
 |    |-- element: map (containsNull = true)
 |    |    |-- key: string
 |    |    |-- value: map (valueContainsNull = true)
 |    |    |    |-- key: string
 |    |    |    |-- value: double (valueContainsNull = true)
 |-- A: array (nullable = true)
 |    |-- element: map (containsNull = true)
 |    |    |-- key: string
 |    |    |-- value: map (valueContainsNull = true)
 |    |    |    |-- key: string
 |    |    |    |-- value: double (valueContainsNull = true)
 |-- B: array (nullable = true)
 |    |-- element: map (containsNull = true)
 |    |    |-- key: string
 |    |    |-- value: map (valueContainsNull = true)
 |    |    |    |-- key: string
 |    |    |    |-- value: double (valueContainsNull = true)
 |-- C: array (nullable = true)
 |    |-- element: map (containsNull = true)
 |    |    |-- key: string
 |    |    |-- value: map (valueContainsNull = true)
 |    |    |    |-- key: string
 |    |    |    |-- value: double (valueContainsNull = true)
 |-- D: array (nullable = true)
 |    |-- element: map (containsNull = true)
 |    |    |-- key: string
 |    |    |-- value: map (valueContainsNull = true)
 |    |    |    |-- key: string
 |    |    |    |-- value: double (valueContainsNull = true)
 |-- E: array (nullable = true)
 |    |-- element: map (containsNull = true)
 |    |    |-- key: string
 |    |    |-- value: map (valueContainsNull = true)
 |    |    |    |-- key: string
 |    |    |    |-- value: double (valueContainsNull = true)
 |-- timestamp: array (nullable = true)
 |    |-- element: map (containsNull = true)
 |    |    |-- key: string
 |    |    |-- value: map (valueContainsNull = true)
 |    |    |    |-- key: string
 |    |    |    |-- value: double (valueContainsNull = true)

Answer 1

Hope this helps!

from itertools import chain
df.select('input').rdd.flatMap(lambda x: chain(*(x))).map(lambda x: x.values()).collect()