I would like to get the first item from a list matching a condition. It’s important that the resulting method not process the entire list, which could be quite large. For example, the following function is adequate:

def first(the_iterable, condition = lambda x: True):
    for i in the_iterable:
        if condition(i):
            return i

This function could be used something like this:

>>> first(range(10))
0
>>> first(range(10), lambda i: i > 3)
4

However, I can’t think of a good built-in / one-liner to let me do this. I don’t particularly want to copy this function around if I don’t have to. Is there a built-in way to get the first item matching a condition?

In Python 2.6 or newer:

If you want StopIteration to be raised if no matching element is found:

next(x for x in the_iterable if x > 3)

If you want default_value (e.g. None) to be returned instead:

next((x for x in the_iterable if x > 3), default_value)

Note that you need an extra pair of parentheses around the generator expression in this case − they are needed whenever the generator expression isn’t the only argument.

I see most answers resolutely ignore the built-in and so I assume that for some mysterious reason they’re 100% focused on versions 2.5 and older — without mentioning the Python-version issue (but then I don’t see that mention in the answers that do mention the next built-in, which is why I thought it necessary to provide an answer myself — at least the “correct version” issue gets on record this way;-).

In 2.5, the method of iterators immediately raises StopIteration if the iterator immediately finishes — i.e., for your use case, if no item in the iterable satisfies the condition. If you don’t care (i.e., you know there must be at least one satisfactory item) then just use .next() (best on a genexp, line for the next built-in in Python 2.6 and better).

If you do care, wrapping things in a function as you had first indicated in your Q seems best, and while the function implementation you proposed is just fine, you could alternatively use itertools, a for...: break loop, or a genexp, or a try/except StopIteration as the function’s body, as various answers suggested. There’s not much added value in any of these alternatives so I’d go for the starkly-simple version you first proposed.

As a reusable, documented and tested function

def first(iterable, condition = lambda x: True):
    """
    Returns the first item in the `iterable` that
    satisfies the `condition`.

    If the condition is not given, returns the first item of
    the iterable.

    Raises `StopIteration` if no item satysfing the condition is found.

    >>> first( (1,2,3), condition=lambda x: x % 2 == 0)
    2
    >>> first(range(3, 100))
    3
    >>> first( () )
    Traceback (most recent call last):
    ...
    StopIteration
    """

    return next(x for x in iterable if condition(x))

Version with default argument

@zorf suggested a version of this function where you can have a predefined return value if the iterable is empty or has no items matching the condition:

def first(iterable, default = None, condition = lambda x: True):
    """
    Returns the first item in the `iterable` that
    satisfies the `condition`.

    If the condition is not given, returns the first item of
    the iterable.

    If the `default` argument is given and the iterable is empty,
    or if it has no items matching the condition, the `default` argument
    is returned if it matches the condition.

    The `default` argument being None is the same as it not being given.

    Raises `StopIteration` if no item satisfying the condition is found
    and default is not given or doesn't satisfy the condition.

    >>> first( (1,2,3), condition=lambda x: x % 2 == 0)
    2
    >>> first(range(3, 100))
    3
    >>> first( () )
    Traceback (most recent call last):
    ...
    StopIteration
    >>> first([], default=1)
    1
    >>> first([], default=1, condition=lambda x: x % 2 == 0)
    Traceback (most recent call last):
    ...
    StopIteration
    >>> first([1,3,5], default=1, condition=lambda x: x % 2 == 0)
    Traceback (most recent call last):
    ...
    StopIteration
    """

    try:
        return next(x for x in iterable if condition(x))
    except StopIteration:
        if default is not None and condition(default):
            return default
        else:
            raise

Damn Exceptions!

I love this answer. However, since next() raise a StopIteration exception when there are no items, i would use the following snippet to avoid an exception:

a = []
item = next((x for x in a), None)

For example,

a = []
item = next(x for x in a)

Will raise a StopIteration exception;

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
StopIteration

Similar to using ifilter, you could use a generator expression:

>>> (x for x in xrange(10) if x > 5).next()
6

In either case, you probably want to catch StopIteration though, in case no elements satisfy your condition.

Technically speaking, I suppose you could do something like this:

>>> foo = None
>>> for foo in (x for x in xrange(10) if x > 5): break
... 
>>> foo
6

It would avoid having to make a try/except block. But that seems kind of obscure and abusive to the syntax.

The most efficient way in Python 3 are one of the following (using a similar example):

With “comprehension” style:

next(i for i in range(100000000) if i == 1000)

WARNING: The expression works also with Python 2, but in the example is used range that returns an iterable object in Python 3 instead of a list like Python 2 (if you want to construct an iterable in Python 2 use xrange instead).

Note that the expression avoid to construct a list in the comprehension expression next([i for ...]), that would cause to create a list with all the elements before filter the elements, and would cause to process the entire options, instead of stop the iteration once i == 1000.

With “functional” style:

next(filter(lambda i: i == 1000, range(100000000)))

WARNING: This doesn’t work in Python 2, even replacing range with xrange due that filter create a list instead of a iterator (inefficient), and the next function only works with iterators.

Default value

As mentioned in other responses, you must add a extra-parameter to the function next if you want to avoid an exception raised when the condition is not fulfilled.

“functional” style:

next(filter(lambda i: i == 1000, range(100000000)), False)

“comprehension” style:

With this style you need to surround the comprehension expression with () to avoid a SyntaxError: Generator expression must be parenthesized if not sole argument:

next((i for i in range(100000000) if i == 1000), False)

I would write this

next(x for x in xrange(10) if x > 3)

The module contains a filter function for iterators. The first element of the filtered iterator can be obtained by calling next() on it:

from itertools import ifilter

print ifilter((lambda i: i > 3), range(10)).next()

For older versions of Python where the next built-in doesn’t exist:

(x for x in range(10) if x > 3).next()

By using

(index for index, value in enumerate(the_iterable) if condition(value))

one can check the condition of the value of the first item in the_iterable, and obtain its index without the need to evaluate all of the items in the_iterable.

The complete expression to use is

first_index = next(index for index, value in enumerate(the_iterable) if condition(value))

Here first_index assumes the value of the first value identified in the expression discussed above.

This question already has great answers. I’m only adding my two cents because I landed here trying to find a solution to my own problem, which is very similar to the OP.

If you want to find the INDEX of the first item matching a criteria using generators, you can simply do:

next(index for index, value in enumerate(iterable) if condition)

You could also use the argwhere function in Numpy. For example:

i) Find the first “l” in “helloworld”:

import numpy as np
l = list("helloworld") # Create list
i = np.argwhere(np.array(l)=="l") # i = array([[2],[3],[8]])
index_of_first = i.min()

ii) Find first random number > 0.1

import numpy as np
r = np.random.rand(50) # Create random numbers
i = np.argwhere(r>0.1)
index_of_first = i.min()

iii) Find the last random number > 0.1

import numpy as np
r = np.random.rand(50) # Create random numbers
i = np.argwhere(r>0.1)
index_of_last = i.max()

In Python 3:

a = (None, False, 0, 1)
assert next(filter(None, a)) == 1

In Python 2.6:

a = (None, False, 0, 1)
assert next(iter(filter(None, a))) == 1

EDIT: I thought it was obvious, but apparently not: instead of None you can pass a function (or a lambda) with a check for the condition:

a = [2,3,4,5,6,7,8]
assert next(filter(lambda x: x%2, a)) == 3

Oneliner:

thefirst = [i for i in range(10) if i > 3][0]

If youre not sure that any element will be valid according to the criteria, you should enclose this with try/except since that [0] can raise an IndexError.