23.4. List Comprehensions¶
Python provides an alternative way to do
filter operations, called a list comprehension.
Many programmers find them easier to understand and write. List comprehensions are concise ways to create lists from other
lists. The general syntax is:
[<transformer_expression> for <loop_var> in <sequence> if <filtration_expression>]
where the if clause is optional. For example,
The transformer expression is
value * 2. The item variable is
value and the sequence is
things. This is an alternative way
to perform a mapping operation. As with
map, each item in the sequence is transformed into an item in the new list.
Instead of the iteration happening automatically, however, we have adopted the syntax of the for loop which may make it
easier to understand.
Just as in a regular for loop, the part of the statement
for value in things says to execute some code once for each
item in things. Each time that code is executed,
value is bound to one item from
things. The code that is executed
each time is the transformer expression,
value * 2, rather than a block of code indented underneath the for
statement. The other difference from a regular for loop is that each time the expression is evaluated, the resulting value
is appended to a list. That happens automatically, without the programmer explicitly initializing an empty list or
appending each item.
if clause of a list comprehension can be used to do a filter operation. To perform a pure filter operation, the
expression can be simply the variable that is bound to each item. For example, the following list comprehension will keep
only the even numbers from the original list.
You can also combine
filter operations by chaining them together, or with a single list comprehension.
Check your understanding
2. The for loop below produces a list of numbers greater than 10. Below the given code, use list comprehension to accomplish the same thing. Assign it the the variable
lst2. Only one line of code is needed.
3. Write code to assign to the variable
compri all the values of the key
name in any of the sub-dictionaries in the dictionary
tester. Do this using a list comprehension.