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Suppose I have a list:
x = [[1,10],[2,14],[3,17]]
I want to convert x to a Spark dataframe with two columns id (1,2,3) and value (10,14,17).
x
id
value
How could I do that?
Thanks
x = [[1,10],[2,14],[3,17]] df = sc.parallelize(x).toDF(['ID','VALUE']) df.show()
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Alternatively you can create it directly using SparkSession-
x = [[1,10],[2,14],[3,17]] df = spark.createDataFrame(data=x, schema = ["id","value"]) df.printSchema() df.show()
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