DataFrameNaFunctions.Fill Method
Definition
Important
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Overloads
| Fill(String, IEnumerable<String>) |
Returns a new |
| Fill(Int64, IEnumerable<String>) |
Returns a new |
| Fill(Double, IEnumerable<String>) |
Returns a new |
| Fill(Boolean, IEnumerable<String>) |
Returns a new |
| Fill(String) |
Returns a new |
| Fill(Int64) |
Returns a new |
| Fill(Double) |
Returns a new |
| Fill(IDictionary<String,String>) |
Returns a new |
| Fill(IDictionary<String,Int64>) |
Returns a new |
| Fill(IDictionary<String,Int32>) |
Returns a new |
| Fill(IDictionary<String,Double>) |
Returns a new |
| Fill(IDictionary<String,Boolean>) |
Returns a new |
| Fill(Boolean) |
Returns a new |
Fill(String, IEnumerable<String>)
Returns a new DataFrame that replaces null or NaN values in specified string
columns. If a specified column is not a string column, it is ignored.
public Microsoft.Spark.Sql.DataFrame Fill (string value, System.Collections.Generic.IEnumerable<string> columnNames);member this.Fill : string * seq<string> -> Microsoft.Spark.Sql.DataFramePublic Function Fill (value As String, columnNames As IEnumerable(Of String)) As DataFrameParameters
- value
- String
Value to replace with
- columnNames
- IEnumerable<String>
Column names
Returns
DataFrame object
Applies to
Fill(Int64, IEnumerable<String>)
Returns a new DataFrame that replaces null or NaN values in specified numeric
columns. If a specified column is not a numeric column, it is ignored.
public Microsoft.Spark.Sql.DataFrame Fill (long value, System.Collections.Generic.IEnumerable<string> columnNames);member this.Fill : int64 * seq<string> -> Microsoft.Spark.Sql.DataFramePublic Function Fill (value As Long, columnNames As IEnumerable(Of String)) As DataFrameParameters
- value
- Int64
Value to replace with
- columnNames
- IEnumerable<String>
Column names
Returns
DataFrame object
Applies to
Fill(Double, IEnumerable<String>)
Returns a new DataFrame that replaces null or NaN values in specified numeric
columns. If a specified column is not a numeric column, it is ignored.
public Microsoft.Spark.Sql.DataFrame Fill (double value, System.Collections.Generic.IEnumerable<string> columnNames);member this.Fill : double * seq<string> -> Microsoft.Spark.Sql.DataFramePublic Function Fill (value As Double, columnNames As IEnumerable(Of String)) As DataFrameParameters
- value
- Double
Value to replace with
- columnNames
- IEnumerable<String>
Column names
Returns
DataFrame object
Applies to
Fill(Boolean, IEnumerable<String>)
Returns a new DataFrame that replaces null or NaN values in specified boolean
columns. If a specified column is not a boolean column, it is ignored.
public Microsoft.Spark.Sql.DataFrame Fill (bool value, System.Collections.Generic.IEnumerable<string> columnNames);member this.Fill : bool * seq<string> -> Microsoft.Spark.Sql.DataFramePublic Function Fill (value As Boolean, columnNames As IEnumerable(Of String)) As DataFrameParameters
- value
- Boolean
Value to replace with
- columnNames
- IEnumerable<String>
Column names
Returns
DataFrame object
Applies to
Fill(String)
Returns a new DataFrame that replaces null or NaN values in numeric columns
with value.
public Microsoft.Spark.Sql.DataFrame Fill (string value);member this.Fill : string -> Microsoft.Spark.Sql.DataFramePublic Function Fill (value As String) As DataFrameParameters
- value
- String
Value to replace with
Returns
DataFrame object
Applies to
Fill(Int64)
Returns a new DataFrame that replaces null or NaN values in numeric columns
with value.
public Microsoft.Spark.Sql.DataFrame Fill (long value);member this.Fill : int64 -> Microsoft.Spark.Sql.DataFramePublic Function Fill (value As Long) As DataFrameParameters
- value
- Int64
Value to replace with
Returns
DataFrame object
Applies to
Fill(Double)
Returns a new DataFrame that replaces null or NaN values in numeric columns
with value.
public Microsoft.Spark.Sql.DataFrame Fill (double value);member this.Fill : double -> Microsoft.Spark.Sql.DataFramePublic Function Fill (value As Double) As DataFrameParameters
- value
- Double
Value to replace with
Returns
DataFrame object
Applies to
Fill(IDictionary<String,String>)
Returns a new DataFrame that replaces null values.
public Microsoft.Spark.Sql.DataFrame Fill (System.Collections.Generic.IDictionary<string,string> valueMap);member this.Fill : System.Collections.Generic.IDictionary<string, string> -> Microsoft.Spark.Sql.DataFramePublic Function Fill (valueMap As IDictionary(Of String, String)) As DataFrameParameters
- valueMap
- IDictionary<String,String>
Values to replace null values
Returns
DataFrame object
Remarks
The key of the map is the column name, and the value of the map is the replacement value.
Applies to
Fill(IDictionary<String,Int64>)
Returns a new DataFrame that replaces null values.
public Microsoft.Spark.Sql.DataFrame Fill (System.Collections.Generic.IDictionary<string,long> valueMap);member this.Fill : System.Collections.Generic.IDictionary<string, int64> -> Microsoft.Spark.Sql.DataFramePublic Function Fill (valueMap As IDictionary(Of String, Long)) As DataFrameParameters
- valueMap
- IDictionary<String,Int64>
Values to replace null values
Returns
DataFrame object
Remarks
The key of the map is the column name, and the value of the map is the replacement value.
Applies to
Fill(IDictionary<String,Int32>)
Returns a new DataFrame that replaces null values.
public Microsoft.Spark.Sql.DataFrame Fill (System.Collections.Generic.IDictionary<string,int> valueMap);member this.Fill : System.Collections.Generic.IDictionary<string, int> -> Microsoft.Spark.Sql.DataFramePublic Function Fill (valueMap As IDictionary(Of String, Integer)) As DataFrameParameters
- valueMap
- IDictionary<String,Int32>
Values to replace null values
Returns
DataFrame object
Remarks
The key of the map is the column name, and the value of the map is the replacement value.
Applies to
Fill(IDictionary<String,Double>)
Returns a new DataFrame that replaces null values.
public Microsoft.Spark.Sql.DataFrame Fill (System.Collections.Generic.IDictionary<string,double> valueMap);member this.Fill : System.Collections.Generic.IDictionary<string, double> -> Microsoft.Spark.Sql.DataFramePublic Function Fill (valueMap As IDictionary(Of String, Double)) As DataFrameParameters
- valueMap
- IDictionary<String,Double>
Values to replace null values
Returns
DataFrame object
Remarks
The key of the map is the column name, and the value of the map is the replacement value.
Applies to
Fill(IDictionary<String,Boolean>)
Returns a new DataFrame that replaces null values.
public Microsoft.Spark.Sql.DataFrame Fill (System.Collections.Generic.IDictionary<string,bool> valueMap);member this.Fill : System.Collections.Generic.IDictionary<string, bool> -> Microsoft.Spark.Sql.DataFramePublic Function Fill (valueMap As IDictionary(Of String, Boolean)) As DataFrameParameters
- valueMap
- IDictionary<String,Boolean>
Values to replace null values
Returns
DataFrame object
Remarks
The key of the map is the column name, and the value of the map is the replacement value.
Applies to
Fill(Boolean)
Returns a new DataFrame that replaces null values in boolean columns with value.
public Microsoft.Spark.Sql.DataFrame Fill (bool value);member this.Fill : bool -> Microsoft.Spark.Sql.DataFramePublic Function Fill (value As Boolean) As DataFrameParameters
- value
- Boolean
Value to replace with
Returns
DataFrame object
Applies to
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