object NameMapping

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  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. def apply(spark: SparkSession, fromColName: String, toColName: String): DataFrame

    Returns a dataframe with two columns named based off of the column names passed in.

    Returns a dataframe with two columns named based off of the column names passed in. The fromColName has the original name we want to clean up, the toColName will have the name we want to go to, the unambiguous name.

  5. final def asInstanceOf[T0]: T0
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  6. def clone(): AnyRef
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  7. final def eq(arg0: AnyRef): Boolean
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  9. final def getClass(): Class[_]
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  11. final def isInstanceOf[T0]: Boolean
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  12. final def ne(arg0: AnyRef): Boolean
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  14. final def notifyAll(): Unit
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  15. final def synchronized[T0](arg0: ⇒ T0): T0
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  16. def toString(): String
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  1. def finalize(): Unit
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