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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