Finding in elements in a tuple and filtering them

by

One way:

>>> l = [('text-1','xxx'), ('img-1','iii'), ('img-2','jjj'), ('text-2','xxx')]
>>> [t for t in l if t[0].startswith('img')]
[('img-1', 'iii'), ('img-2', 'jjj')]

Another way:

>>> filter(lambda x: x[0].startswith('img'), l)
[('img-1', 'iii'), ('img-2', 'jjj')]

The first is called a list comprehension. See F.C.’s answer for a related technique. The basic syntax is [{expression} for {item_var_or_vars} in {iterable} if {boolean_expression}]. It’s semantically equivalent to something like this:

new_list = []
for {item_var_or_vars} in {iterable}:
    if {boolean_expression}:
        new_list.append({expression})

The if {boolean_expression} bit is optional, just as it is in the for loop.

The second is simply the built-in function filter, which accepts a test function and an iterable, and returns a list containing every element that “passes” the test function. lambda, if you haven’t seen it before, is just a quick way of defining a function. You could do this instead:

def keep_this_element(element):
    return element[0].startswith('img')   # returns True for ('img...', '...')

new_list = filter(keep_this_element, l)   # keeps only elements that return True

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