I learned that if there is a single list, collections.Counter can generate the frequency table of all elements in the list.
Now I have a function whose return value is a list. This function needs to be run many times, and I need to have the frequency of elements from all these lists.
For example, suppose I have
a = [1, 2, 3, 1, 2, 3, 4]
count = collections.Counter(a)
from the first run and I get
Counter({1: 2, 2: 2, 3: 2, 4: 1})
How do I update the counter once the second run’s return b = [1, 3, 5, 8, 2, 1, 3] becomes available?
>Solution :
You can call the method collections.Counter.update([iterable-or-mapping]) to update the values (add the counts) of the existing Counter object.
Elements are counted from an iterable or added-in from another mapping (or counter). Like dict.update() but adds counts instead of
replacing them. Also, the iterable is expected to be a sequence of
elements, not a sequence of (key, value) pairs.
Example of updating an existing Counter object.
>>> from collections import Counter
>>> list_a = ["a", "b", "c", "c", "d"]
>>> counter = Counter(list_a)
>>> print(counter)
Counter({'c': 2, 'a': 1, 'b': 1, 'd': 1})
>>> list_b = ["b", "b", "c", "e", "f"]
>>> counter.update(list_b)
>>> print(counter)
Counter({'b': 3, 'c': 3, 'a': 1, 'd': 1, 'e': 1, 'f': 1})