df.toStart()

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 = 5

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

df.to(1)

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 = 5

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

df.into { pathOf("info", it.name()) }

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 = 4

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

df.into { "info"[it.name()] }

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 = 4

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

df.under("info")

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 = 4

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

df.into { pathOf("fullName", it.name().dropLast(4)) }

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 = 5

fullName		age	city	weight	isHappy
first	last
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

dataFrameOf("a|b|c", "a|d|e")(0, 0).into { it.name().split("|").toPath() }

Input DataFrame: rowsCount = 1, columnsCount = 2

a|b|c	a|d|e
0	0

Output DataFrame: rowsCount = 1, columnsCount = 1

a
b	d
{ c: 0 }	{ e: 0 }

df.toTop()

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

firstName	lastName	age	city	weight	isHappy
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

df.toTop { it.parentName + it.name() }

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 = 5

nullname		nullage	city	nullweight	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