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
--------- 

.. list-table::
      :widths: 10 5 10
      :header-rows: 1

      * - 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