convert numpy matrix into pyspark rdd

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I have a 2d numpy array. How do I create a pyspark rdd from that where each row in the matrix is an entry in the rdd?

Such that:

rddData.take(1)[0] == list(aaData[0])

where aaData is the numpy 2d array (matrix) and rddData is the rdd created from aaData?

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