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I believe many inexperienced people don't know what to do about how to use Counter in Python. Therefore, this article summarizes the causes and solutions of the problem. Through this article, I hope you can solve this problem.

The main function of the Counter function is the counter, especially when counting the data whose source data is a dictionary type, if you don't want to write a tedious for loop, then using the Counter function will be a good choice.

Colors = [{'red':4}, {' blue':5}, {'red':8}, {' green':7}, {'blue':8}, {' blue':10}, {'green':12}]

Method one-- use the more traditional loop method:

Result = {} for i in colors: if list (i.keys ()) [0] not in result: result [list (i.keys ()) [0]] = list (i.values ()) [0] else: result [list (i.keys ()) [0]] + = list (i.values ()) [0] {'red': 12,' blue': 23, 'green': 19}

If you use the Counter function in the collections standard library here, the whole process will be extremely simple:

Method 2-- Counter function:

From collections import Counterc = Counter () for i in colors: C [list (i.keys ()) [0]] + = list (i.values ()) [0] Counter ({'blue': 23,' green': 19, 'red': 12})

Here the Counter container implements an automated counter, and when a key does not exist in the Counter, the assignment will automatically create a new key, instead of manually determining whether a key already exists in the dictionary as in method 1.

In addition, the magic of Counter is that it has many statistical methods that can be easily called. For example, if we want to get the TOPN record of positive / reverse order in the result, we can write something like this:

C.most_common (2) [('blue', 23), (' green', 19)] after reading the above, have you mastered how to use Counter in Python? If you want to learn more skills or want to know more about it, you are welcome to follow the industry information channel, thank you for reading!

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