37
votes

For lists, the method list.index(x) returns the index in the list of the first item whose value is x. But if I want to look inside the list items, and not just at the whole items, how do I make the most Pythoninc method for this?

For example, with

l = ['the cat ate the mouse',
     'the tiger ate the chicken',
     'the horse ate the straw']

this function would return 1 provided with the argument tiger.

9

9 Answers

35
votes

A non-slicky method:

def index_containing_substring(the_list, substring):
    for i, s in enumerate(the_list):
        if substring in s:
              return i
    return -1
18
votes

With a one-liner:

index = [idx for idx, s in enumerate(l) if 'tiger' in s][0]
6
votes

Variation of abyx solution (optimised to stop when the match is found)

def first_substring(strings, substring):
    return next(i for i, string in enumerate(strings) if substring in string)

If you are pre 2.6 you'll need to put the next() at the end

def first_substring(strings, substring):
    return (i for i, string in enumerate(strings) if substring in string).next()
3
votes

This is quite slick and fairly efficient.

>>> def find(lst, predicate):
...     return (i for i, j in enumerate(lst) if predicate(j)).next()
... 
>>> l = ['the cat ate the mouse','the tiger ate the chicken','the horse ate the straw']
>>> find(l, lambda x: 'tiger' in x)
1

Only problem is that it will raise StopIteration if the item is not found (though that is easily remedied).

2
votes
def find(l, s):
    for i in range(len(l)):
        if l[i].find(s)!=-1:
            return i
    return None # Or -1
2
votes
def first_substring(strings, substring):
    return min(i for i, string in enumerate(strings) if substring in string)

Note: This will raise ValueError in case no match is found, which is better in my opinion.

2
votes

imho with this line, you'll find only the first occurence without processing the whole list

index = next((i for i in enumerate(l) if "tiger" in i[1]),[-1,-1])[0]

1
votes
  >>> li = ['my','array','with','words']
  >>> reduce(lambda tup, word: (tup[0], True) if not tup[1] and word  == 'my' else (tup[0]+1 if not tup[1] else tup[0], tup[1]), li, (0, False))[0]
  0
  >>> reduce(lambda tup, word: (tup[0], True) if not tup[1] and word  == 'words' else (tup[0]+1 if not tup[1] else tup[0], tup[1]), li, (0, False))[0]
  3
0
votes

Using map function:

index = np.nonzero(map(lambda x: substring in x, strings))[0][0]