#!/usr/bin/python """ ======================================================================== Nested loops via map()/lambda, comprehension, and statements. This code runs in Python 3.X and 2.X, and was a reply to a reader email. Given: x=[0, 1, 2], y=[100, 200, 300] Output: [100, 200, 300, 101, 201, 301, 102, 202, 302] ======================================================================== """ from __future__ import print_function # for print() in 2.X import sys if sys.version[0] == '2': list = lambda x: x # list() moot in 2.X print(sys.version.split()[0]) #----------------------------------------------------------------------- # 1) original, from reader's email #----------------------------------------------------------------------- x=[0,1,2] y=[100,200,300] fn=lambda x:lambda y:x+y n=[] #empty list to accumulate result list(map(lambda x:n.extend(map(x,y)),map(fn,x))) print(n) #----------------------------------------------------------------------- # 2) original, edited a bit for readability - whitespace, etc. #----------------------------------------------------------------------- x = [0, 1, 2] y = [100, 200, 300] fn = lambda x: lambda y: x + y n = [] list( map( lambda x: n.extend(map(x, y)), map(fn, x) ) ) print(n) #----------------------------------------------------------------------- # 3) original, with operations decomposed for clarity #----------------------------------------------------------------------- X = [0, 1, 2] Y = [100, 200, 300] def fn(x): def fm(y): return x + y # a closure: remembers "x", expects "y" return fm temp = map(fn, X) # functions, each with a saved "x" value n = [] for ft in temp: # for each of the closure functions: sums = map(ft, Y) # apply function ft (with one "x") to each y n.extend(sums) print(n) #----------------------------------------------------------------------- # 4) a simpler (simplest?) alternative: nested loop comprehension #----------------------------------------------------------------------- X = [0, 1, 2] Y = [100, 200, 300] sums = [x + y for x in X for y in Y] print(sums) #----------------------------------------------------------------------- # 5) equivalent to #4, but with full statements (may be slower?) #----------------------------------------------------------------------- X = [0, 1, 2] Y = [100, 200, 300] sums = [] for x in X: for y in Y: sums.append(x + y) print(sums) #----------------------------------------------------------------------- # 6) nested map+lambda loops and append (nesting similar to statements) #----------------------------------------------------------------------- X = [0, 1, 2] Y = [100, 200, 300] n = [] t = list(map(lambda x: list(map(lambda y: n.append(x + y), Y)), X)) print(n) #----------------------------------------------------------------------- # 7) mapping sum() over items paired with a nested-loop comprehension #----------------------------------------------------------------------- X = [0, 1, 2] Y = [100, 200, 300] print( list(map(sum, [(x, y) for x in X for y in Y])) )