df.add("fullName") { name.firstName + " " + name.lastName }

Input DataFrame: rowsCount = 7, columnsCount = 5

name		age	city	weight	isHappy
firstName	lastName
Alice	Cooper	15	London	54	true
Bob	Dylan	45	Dubai	87	true
Charlie	Daniels	20	Moscow	null	false
Charlie	Chaplin	40	Milan	null	true
Bob	Marley	30	Tokyo	68	true
Alice	Wolf	20	null	55	false
Charlie	Byrd	30	Moscow	90	true

Output DataFrame: rowsCount = 7, columnsCount = 6

name		age	city	weight	isHappy	fullName
firstName	lastName
Alice	Cooper	15	London	54	true	Alice Cooper
Bob	Dylan	45	Dubai	87	true	Bob Dylan
Charlie	Daniels	20	Moscow	null	false	Charlie Daniels
Charlie	Chaplin	40	Milan	null	true	Charlie Chaplin
Bob	Marley	30	Tokyo	68	true	Bob Marley
Alice	Wolf	20	null	55	false	Alice Wolf
Charlie	Byrd	30	Moscow	90	true	Charlie Byrd

df.update { weight }.at(1, 3, 4).with { prev()?.weight }

Input DataFrame: rowsCount = 7, columnsCount = 5

name		age	city	weight	isHappy
firstName	lastName
Alice	Cooper	15	London	54	true
Bob	Dylan	45	Dubai	87	true
Charlie	Daniels	20	Moscow	null	false
Charlie	Chaplin	40	Milan	null	true
Bob	Marley	30	Tokyo	68	true
Alice	Wolf	20	null	55	false
Charlie	Byrd	30	Moscow	90	true

Step 1: Update

name		age	city	weight	isHappy
firstName	lastName
Alice	Cooper	15	London	54	true
Bob	Dylan	45	Dubai	87	true
Charlie	Daniels	20	Moscow	null	false
Charlie	Chaplin	40	Milan	null	true
Bob	Marley	30	Tokyo	68	true
Alice	Wolf	20	null	55	false
Charlie	Byrd	30	Moscow	90	true

DataFrame [7 x 5]

Step 2: Update

name		age	city	weight	isHappy
firstName	lastName
Alice	Cooper	15	London	54	true
Bob	Dylan	45	Dubai	87	true
Charlie	Daniels	20	Moscow	null	false
Charlie	Chaplin	40	Milan	null	true
Bob	Marley	30	Tokyo	68	true
Alice	Wolf	20	null	55	false
Charlie	Byrd	30	Moscow	90	true

DataFrame [7 x 5]

Output DataFrame: rowsCount = 7, columnsCount = 5

name		age	city	weight	isHappy
firstName	lastName
Alice	Cooper	15	London	54	true
Bob	Dylan	45	Dubai	54	true
Charlie	Daniels	20	Moscow	null	false
Charlie	Chaplin	40	Milan	null	true
Bob	Marley	30	Tokyo	null	true
Alice	Wolf	20	null	55	false
Charlie	Byrd	30	Moscow	90	true

df.pivot { city }.with { name.lastName.uppercase() }

Input DataFrame: rowsCount = 7, columnsCount = 5

name		age	city	weight	isHappy
firstName	lastName
Alice	Cooper	15	London	54	true
Bob	Dylan	45	Dubai	87	true
Charlie	Daniels	20	Moscow	null	false
Charlie	Chaplin	40	Milan	null	true
Bob	Marley	30	Tokyo	68	true
Alice	Wolf	20	null	55	false
Charlie	Byrd	30	Moscow	90	true

Step 1: Pivot

London	Dubai	Moscow	Milan	Tokyo	null
DataFrame 1 x 5	DataFrame 1 x 5	DataFrame 2 x 5	DataFrame 1 x 5	DataFrame 1 x 5	DataFrame 1 x 5

Output DataRow

London	Dubai	Moscow	Milan	Tokyo	null
COOPER	DYLAN	[DANIELS, BYRD]	CHAPLIN	MARLEY	WOLF