Python Comprehensions

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• Python Language

TODO

• PROCESS IPy Comprehensions Page 84.
• PROCESS PyOOP "Comprehensions" + "List comprehensions" + "Set and dictionary comprehensions"

Overview

A comprehension is a compact way of creating a data structure from one or more iterators. They are essentially loops with a more compact syntax.

List Comprehensions

A list comprehension produces a list from an iterable type by applying an expression to each of the elements, and optionally a condition.

Simple List Comprehension

[<expression> for <var> in <iterable>]

This example iterates over a list of custom object instances and produces a comma-separated list of their __str__() representations, which printing the list with print() does not do:

class C:
  def __init__(self, i):
    self.i = I
  def __str__(self):
    return "<" + self.i + ">"

l = [C(1), C(2), C(3)]

print(l)

displays:

...

The following list comprehension:

print(', '.join([str(i) for i in l]))

displays:

...

Conditional List Comprehension

[<expression> for <var> in <iterable> if <condition>]