Array Operations

List manipulation — chunk, flatten, group, map, reduce, zip, and more.

12 modules

Module	Description
Fragmentar array	Dividir array en fragmentos de tamano especificado
Compactar	Eliminar valores nulos/vacíos del array
Diferencia de array	Encontrar elementos en primer array que no estan en otros
Eliminar	Eliminar los primeros N elementos del array
Aplanar array	Aplanar arrays anidados en un solo array
Agrupar Por	Agrupar elementos del array por una clave
Interseccion de array	Encontrar elementos comunes entre arrays
Unir array	Unir elementos de array en cadena
Mapear array	Transformar cada elemento en un array
Reducir array	Reducir array a un solo valor
Tomar	Tomar los primeros N elementos del array
Unir Arrays	Combinar múltiples arrays elemento por elemento

Modules

Fragmentar array

array.chunk

Dividir array en fragmentos de tamano especificado

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Array of items to process. Can be numbers, strings, or objects.
size	number	Yes	10	Number of items per chunk

Output:

Field	Type	Description
result	array	Array de fragmentos
chunks	number	Array de fragmentos

Example: Chunk into groups of 3

array: [1, 2, 3, 4, 5, 6, 7, 8, 9]
size: 3

Example: Batch process items

array: ["a", "b", "c", "d", "e"]
size: 2

Compactar

array.compact

Eliminar valores nulos/vacíos del array

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Array a compactar
remove_empty_strings	boolean	No	True	Eliminar cadenas vacías
remove_zero	boolean	No	False	Eliminar cadenas vacías
remove_false	boolean	No	False	Eliminar valores cero

Output:

Field	Type	Description
result	array	Eliminar valores falsos
removed	number	Array compactado

Diferencia de array

array.difference

Encontrar elementos en primer array que no estan en otros

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Array of items to process. Can be numbers, strings, or objects.
subtract	array	Yes	-	Arrays containing items to remove from the base array

Output:

Field	Type	Description
result	array	Elementos unicos del primer array
length	number	Elementos unicos del primer array

Example: Find unique elements

array: [1, 2, 3, 4, 5]
subtract: [[2, 4], [5]]

Eliminar

array.drop

Eliminar los primeros N elementos del array

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Array de origen
count	number	Yes	1	Array de origen

Output:

Field	Type	Description
result	array	Número de elementos a eliminar
dropped	number	Elementos restantes

Aplanar array

array.flatten

Aplanar arrays anidados en un solo array

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Array of items to process. Can be numbers, strings, or objects.
depth	number	No	1	How many levels of nesting to flatten (-1 for infinite)

Output:

Field	Type	Description
result	array	Array aplanado
length	number	Array aplanado

Example: Flatten one level

array: [[1, 2], [3, 4], [5, 6]]
depth: 1

Example: Flatten all levels

array: [[1, [2, [3, [4]]]]]
depth: -1

Agrupar Por

array.group_by

Agrupar elementos del array por una clave

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Array de objetos a agrupar
key	string	Yes	-	Array de objetos a agrupar

Output:

Field	Type	Description
groups	object	Nombre de la propiedad para agrupar
keys	array	Resultados agrupados
count	number	Resultados agrupados

Interseccion de array

array.intersection

Encontrar elementos comunes entre arrays

Parameters:

Name	Type	Required	Default	Description
arrays	array	Yes	-	Array of arrays to process (for intersection, union)

Output:

Field	Type	Description
result	array	Elementos comunes
length	number	Elementos comunes

Example: Find common elements

arrays: [[1, 2, 3, 4], [2, 3, 5], [2, 3, 6]]

Unir array

array.join

Unir elementos de array en cadena

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Array of items to process. Can be numbers, strings, or objects.
separator	select (, , ,, , `
,	, - `, ``)	No	,	String to insert between items when joining

Output:

Field	Type	Description
result	string	Cadena unida

Example: Join with comma

array: ["apple", "banana", "cherry"]
separator: ,

Example: Join with newline

array: ["Line 1", "Line 2", "Line 3"]
separator:

Mapear array

array.map

Transformar cada elemento en un array

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Array of items to process. Can be numbers, strings, or objects.
operation	select (multiply, add, subtract, divide, extract, uppercase, lowercase, trim, tostring, tonumber)	Yes	-	Transformation to apply to each item
value	any	No	-	Value for the operation: number for math operations, field name for extract

Output:

Field	Type	Description
result	array	Array transformado
length	number	Array transformado

Example: Multiply numbers

array: [1, 2, 3, 4, 5]
operation: multiply
value: 2

Example: Extract field from objects

array: [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}]
operation: extract
value: name

Reducir array

array.reduce

Reducir array a un solo valor

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Array of items to process. Can be numbers, strings, or objects.
operation	select (sum, product, average, min, max, count, join, first, last)	Yes	-	How to combine all items into a single value
separator	select (, , ,, , `
,	, - `, ``)	No	,	String to insert between items when joining

Output:

Field	Type	Description
result	any	Valor reducido
operation	string	Valor reducido

Example: Sum numbers

array: [1, 2, 3, 4, 5]
operation: sum

Example: Join strings

array: ["Hello", "World", "from", "Flyto"]
operation: join
separator:

Tomar

array.take

Tomar los primeros N elementos del array

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Array de origen
count	number	Yes	1	Array de origen

Output:

Field	Type	Description
result	array	Número de elementos a tomar
length	number	Elementos tomados

Unir Arrays

array.zip

Combinar múltiples arrays elemento por elemento

Parameters:

Name	Type	Required	Default	Description
arrays	array	Yes	-	Array de arrays a unir
fill_value	any	No	-	Array de arrays a unir

Output:

Field	Type	Description
result	array	Valor para elementos faltantes
length	number	Array unido