Imputing With Constant

It imputes missing value with constant value. It fills missing values (None) in selected columns with given constant value for the corresponding column, in the incoming DataFrame.

Type

transform

Class

fire.nodes.ml.NodeReplaceMissingValueWithConstant

Fields

Name	Title	Description
colNames	Columns	Columns to be processed for missing values
constants	Constants	Missing value will be replaced with constant

Details

This node imputes the missing value with constant value.

It fills missing values (None) in selected columns with given constant value for the corresponding column, in the incoming DataFrame.

Examples

Incoming Dataframe has following rows and [AGE] column has missing values / [NULL] for some rows:

CUST_CD    |    CUST_NAME    |    AGE
-----------------------------------------
CD01       |    DAVID        |    30
CD02       |    MARY         |    40
CD03       |    PAUL         |
CD04       |    MATT         |

If imputingwithconstatnt node is configured to Impute [AGE] with 45 then missing values in [AGE] column would be replaced with 45.

Outgoing Dataframe would result as below:

CUST_CD    |    CUST_NAME    |    AGE
-----------------------------------------
CD01       |    DAVID        |    30
CD02       |    MARY         |    40
CD03       |    PAUL         |    45
CD04       |    MATT         |    45