I have 5 long lists with word pairs as given in the example below. Note that this could include word pair lists like [['Salad', 'Fat']]
AND word pair list of lists like [['Bread', 'Oil'], ['Bread', ' Salt']]
list_1 = [ [['Salad', 'Fat']], [['Bread', 'Oil'], ['Bread', 'Salt']], [['Salt', 'Sugar'] ]
list_2 = [ [['Salad', 'Fat'], ['Salt', 'Sugar']], [['Protein', 'Soup']] ]
list_3 = [ [['Salad', ' Protein']], [['Bread', ' Oil']], [['Sugar', 'Salt'] ]
list_4 = [ [['Salad', ' Fat'], ['Salad', 'Chicken']] ]
list_5 = [ ['Sugar', 'Protein'], ['Sugar', 'Bread'] ]
Now I want to calculate the frequency of word pairs.
For example, in the above 5 lists, I should get the output as follows, where the word pairs and its frequency is shown.
output_list = [{'['Salad', 'Fat']': 3}, {['Bread', 'Oil']: 2}, {['Salt', 'Sugar']: 2,
{['Sugar','Salt']: 1} and so on]
What is the most efficient way of doing it in python?
You could flatten all the lists. Then use Counter to count the word frequencies.
>>> import itertools
>>> from collections import Counter
>>> l = [[1,2,3],[3,4,1,5]]
>>> counts = Counter(list(itertools.chain(*l)))
>>> counts
Counter({1: 2, 3: 2, 2: 1, 4: 1, 5: 1})
NOTE: this flattening technique will work only with lists of lists. For other flattening techniques see the link provided above.
EDIT: Thanks to AChampion counts = Counter(list(itertools.chain(*l)))
can be written as counts = Counter(list(itertools.chain.from_iterable(l)))
Given you have uneven nested lists this makes the code ugly, so would look to fix the input lists.
collections.Counter()
is built for this kind of thing but list
s are not hashable so you need to turn them into tuple
s (as well as strip
off the spurious spaces):
In []:
import itertools as it
from collections import Counter
list_1 = [ [['Salad', 'Fat']], [['Bread', 'Oil'], ['Bread', 'Salt']], [['Salt', 'Sugar'] ]]
list_2 = [ [['Salad', 'Fat'], ['Salt', 'Sugar']], [['Protein', 'Soup']] ]
list_3 = [ [['Salad', ' Protein']], [['Bread', ' Oil']], [['Sugar', 'Salt'] ]]
list_4 = [ [['Salad', ' Fat'], ['Salad', 'Chicken']] ]
list_5 = [ ['Sugar', 'Protein'], ['Sugar', 'Bread']]
t = lambda x: tuple(map(str.strip, x))
c = Counter(map(t, it.chain.from_iterable(it.chain(list_1, list_2, list_3, list_4))))
c += Counter(map(t, list_5))
c
Out[]:
Counter({('Bread', 'Oil'): 2,
('Bread', 'Salt'): 1,
('Protein', 'Soup'): 1,
('Salad', 'Chicken'): 1,
('Salad', 'Fat'): 3,
('Salad', 'Protein'): 1,
('Salt', 'Sugar'): 2,
('Sugar', 'Bread'): 1,
('Sugar', 'Protein'): 1,
('Sugar', 'Salt'): 1})
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