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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Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
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  3. final def ==(arg0: Any): Boolean
    Definition Classes
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  4. final def asInstanceOf[T0]: T0
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  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
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    Annotations
    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  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
    Definition Classes
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  8. def equals(arg0: Any): Boolean
    Definition Classes
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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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    @native() @HotSpotIntrinsicCandidate()
  11. def hashCode(): Int
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    @native() @HotSpotIntrinsicCandidate()
  12. final def isInstanceOf[T0]: Boolean
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  13. def log(): Logger
    Attributes
    protected[internal]
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    Logging
  14. def logDebug(msg: String, throwable: Throwable): Unit
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    protected[internal]
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  15. def logDebug(msg: String): Unit
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    protected[internal]
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  16. def logError(msg: String, throwable: Throwable): Unit
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    protected[internal]
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  17. def logError(msg: String): Unit
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    protected[internal]
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  18. def logInfo(msg: String, throwable: Throwable): Unit
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    protected[internal]
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  19. def logInfo(msg: String): Unit
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    protected[internal]
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  20. def logTrace(msg: String, throwable: Throwable): Unit
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    protected[internal]
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  21. def logTrace(msg: String): Unit
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    protected[internal]
    Definition Classes
    Logging
  22. def logWarning(msg: String, throwable: Throwable): Unit
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    protected[internal]
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  23. def logWarning(msg: String): Unit
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    protected[internal]
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  24. final def ne(arg0: AnyRef): Boolean
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  25. final def notify(): Unit
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    @native() @HotSpotIntrinsicCandidate()
  26. final def notifyAll(): Unit
    Definition Classes
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    @native() @HotSpotIntrinsicCandidate()
  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
    Definition Classes
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  29. def toString(): String
    Definition Classes
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  30. def transformation(funcName: String)(func: ⇒ DataFrame): DataFrame
    Attributes
    protected
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    @inline()
  31. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  32. final def wait(arg0: Long): Unit
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    @throws( ... ) @native()
  33. final def wait(): Unit
    Definition Classes
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    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
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    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

Inherited from Logging

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