df = sc.parallelize([(1,),(2,),(3,)]).toDF(["id"])
df.show()
+---+
| id|
+---+
| 1|
| 2|
| 3|
+---+
df = sc.parallelize([(1,),(2,),(3,)]).toDF(["id"])
Spark dataframe containing only one column
df = sc.parallelize([(1,),(2,),(3,)]).toDF(["id"])
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