Version: v2.5
SplitByMultipleExpressions
Splits the incoming DataFrame into multiple output DataFrames by applying the conditional logic
Input
It accepts a DataFrame as input from the previous Node
Type
transform
Fields
Name | Title | Description |
---|---|---|
conditionExpr1 | Conditional Expression 1 to split the Data on | Conditional Expression 1 to be used for Splitting the Dataset |
conditionExpr2 | Conditional Expression 2 to split the Data on | Conditional Expression 2 to be used for Splitting the Dataset |
conditionExpr3 | Conditional Expression 3 to split the Data on | Conditional Expression 3 to be used for Splitting the Dataset |
conditionExpr4 | Conditional Expression 4 to split the Data on | Conditional Expression 4 to be used for Splitting the Dataset |
conditionExpr5 | Conditional Expression 5 to split the Data on | Conditional Expression 5 to be used for Splitting the Dataset |
Examples
Input
id | label | f1 | f2 |
---|---|---|---|
6 | 1.0 | 2.1 | 2.0 |
4 | 0.0 | 4.1 | 5.0 |
5 | 0.0 | 3.1 | 6.0 |
66 | 1.0 | 2.1 | 2.0 |
Parameters
Name | Value |
---|---|
Conditional Expression 1 to split the Data on | id <= 4 |
Conditional Expression 2 to split the Data on | id > 4 AND id <= 5 |
Conditional Expression 3 to split the Data on | id > 5 AND id <= 6 |
Conditional Expression 4 to split the Data on | id > 12 AND id <= 30 |
Output1
id | label | f1 | f2 |
---|---|---|---|
4 | 0.0 | 4.1 | 5.0 |
Output2
id | label | f1 | f2 |
---|---|---|---|
5 | 0.0 | 3.1 | 6.0 |
Output3
id | label | f1 | f2 |
---|---|---|---|
6 | 1.0 | 2.1 | 2.0 |
Output4
id | label | f1 | f2 |
---|