c

com . snowflake . snowpark

DataFrameNaFunctions

final class DataFrameNaFunctions extends Logging

Provides functions for handling missing values in a DataFrame.

Since

0.2.0

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  1. final def != ( arg0: Any ) : Boolean
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  2. final def ## () : Int
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  5. def clone () : AnyRef
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  6. def drop ( minNonNullsPerRow: Int , cols: Seq [ String ] ) : DataFrame

    Returns a new DataFrame that excludes all rows containing fewer than minNonNullsPerRow non-null and non-NaN values in the specified columns cols .

    Returns a new DataFrame that excludes all rows containing fewer than minNonNullsPerRow non-null and non-NaN values in the specified columns cols .

    • If minNonNullsPerRow is greater than the number of the specified columns, the method returns an empty DataFrame.
    • If minNonNullsPerRow is less than 1, the method returns the original DataFrame.
    • If cols is empty, the method returns the original DataFrame.
    minNonNullsPerRow

    The minimum number of non-null and non-NaN values that should be in the specified columns in order for the row to be included.

    cols

    A sequence of the names of columns to check for null and NaN values.

    returns

    A DataFrame

    Since

    0.2.0

    Exceptions thrown

    SnowparkClientException if cols contains any unrecognized column name

  7. final def eq ( arg0: AnyRef ) : Boolean
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  8. def equals ( arg0: Any ) : Boolean
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  9. def fill ( valueMap: Map [ String , Any ] ) : DataFrame

    Returns a new DataFrame that replaces all null and NaN values in the specified columns with the values provided.

    Returns a new DataFrame that replaces all null and NaN values in the specified columns with the values provided.

    valueMap describes which columns will be replaced and what the replacement values are.

    • It only supports Long, Int, short, byte, String, Boolean, float, and Double values.
    • If the type of the given value doesn't match the column type (e.g. a Long value for a StringType column), the replacement in this column will be skipped.
    valueMap

    A Map that associates the names of columns with the values that should be used to replace null and NaN values in those columns.

    returns

    A DataFrame

    Since

    0.2.0

    Exceptions thrown

    SnowparkClientException if valueMap contains unrecognized columns

  10. final def getClass () : Class [_]
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  11. def hashCode () : Int
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  12. final def isInstanceOf [ T0 ] : Boolean
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  13. def log () : Logger
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  14. def logDebug ( msg: String , throwable: Throwable ) : Unit
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  15. def logDebug ( msg: String ) : Unit
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  16. def logError ( msg: String , throwable: Throwable ) : Unit
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  17. def logError ( msg: String ) : Unit
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  18. def logInfo ( msg: String , throwable: Throwable ) : Unit
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  19. def logInfo ( msg: String ) : Unit
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  20. def logTrace ( msg: String , throwable: Throwable ) : Unit
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  21. def logTrace ( msg: String ) : Unit
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  22. def logWarning ( msg: String , throwable: Throwable ) : Unit
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  26. final def notifyAll () : Unit
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  27. def replace ( colName: String , replacement: Map [ Any , Any ] ) : DataFrame

    Returns a new DataFrame that replaces values in a specified column.

    Returns a new DataFrame that replaces values in a specified column.

    Use the replacement parameter to specify a Map that associates the values to replace with new values. To replace a null value, use None as the key in the Map.

    For example, suppose that you pass col1 for colName and Map(2 -> 3, None -> 2, 4 -> null) for replacement . In col1 , this function replaces:

    - 2 with 3 - null with 2 - 4 with null

    colName

    The name of the column in which the values should be replaced.

    replacement

    A Map that associates the original values with the replacement values.

    Since

    0.2.0

    Exceptions thrown

    SnowparkClientException if colName is an unrecognized column name

  28. final def synchronized [ T0 ] ( arg0: ⇒ T0 ) : T0
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  29. def toString () : String
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  30. final def wait ( arg0: Long , arg1: Int ) : Unit
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  32. final def wait () : Unit
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  1. def finalize () : Unit
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