Infix data structures for Python
Project description
infixpy
See blog post, Introducing infixpy: Scala-inspired data structures for Python to learn about using this library.
A functional, object-oriented approach for working with sequences and collections. Also similar to Spark RDDs and Java Streams. Hope you find they simplify your code by providing a plethora of common algorithms for working with sequences and collections.
Stephen's Direct from Scala example
Scala version
val a = ((1 to 50)
.map(_ * 4)
.filter( _ <= 170)
.filter(_.toString.length == 2)
.filter (_ % 20 == 0)
.zipWithIndex
.map{ case(x,n) => s"Result[$n]=$x"}
.mkString(" .. "))
a: String = Result[0]=20 .. Result[1]=40 .. Result[2]=60 .. Result[3]=80
Version using the infixpy library with python
from infixpy import *
a = (Seq(range(1,51))
.map(lambda x: x * 4)
.filter(lambda x: x <= 170)
.filter(lambda x: len(str(x)) == 2)
.filter( lambda x: x % 20 ==0)
.enumerate()
.map(lambda x: 'Result[%d]=%s' %(x[0],x[1]))
.mkstring(' .. '))
print(a)
# Result[0]=20 .. Result[1]=40 .. Result[2]=60 .. Result[3]=80
Original Example
from infixpy import Seq
(Seq(range(10))
.map(lambda x: x+3)
.filter(lambda x: x%2==0)
.group_by(lambda x: x%3)
.items()
.for_each(print))
Output
(1, SList([4, 10]))
(0, SList([6, 12]))
(2, SList([8]))
Examples
See examples/ directory for additional examples of using infixpy.
Also see example usages in career_village_entities.
Project details
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