word frequency counter python

Trie Tree, also known as the Dictionary tree, prefix tree. Available for "Predictive text" and "Autocompletion". It can also be used for statistical frequency (side insert trie tree edge Update or join word frequency).In computer science. Trie, also known as a prefix tree or a dictionary tree . is an ordered tree that holds associative arrays, where the keys are

Recently in the busy exam things, there is no time to knock code, one months also not a few days to see the code, recently saw the visual word cloud, see the Internet is also a lot of such tools,But not perfect, some do not support Chinese, some Chinese word frequency statistics are inexplicable, some do not support custom shapes, all can not customize the colorS

First, prefaceThe stars of the night, they met 、、、In the summer, she slowly close to him, care about him, for him to pay everything; in the fall, two people finally together, share all happy time but after all, happy time is short, because Jay must go abroad for further study, two people face to separate the situation, the separation of love is always difficult to maintain long-term, They choose to break up in winter."Before the past", that with the pain of the heart of the smell, really let peo

#-*-coding:utf-8-*-#取一个字符串中最多出现次数的词ImportRe fromCollectionsImportCountermy_str="""Simple are better than Complex.complex is better than complicated. Flat is better than nested. Sparse is better than dense. Readability counts. Special cases aren ' t special enough to break the rules. Although practicality beats purity. Errors should never pass silently. Unless explicitly silenced. In the face of ambiguity, refuse the temptation to guess. There should is one--and preferably only one--obvious the-d

)[216, 512, 1000](3) combined with zipA new list is formed by combining the relative due values in a A, B, two list. For example, a list that contains an x-coordinate and a list of y-coordinates form a corresponding point coordinate [x, Y] list.a= [-1,-2,-3,-4,-5,-6,-7,-8,-9,-10]b = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]XY = [[x, Y] for x, y in Zip (A, b)]Print (XY)[[-1, 1], [-2, 2], [-3, 3], [-4, 4], [-5, 5], [-6, 6], [-7, 7], [-8, 8], [-9, 9], [10, 10]](4) Support multi-layer for loopConverts a neste

Recently collected the day Cat search page about the windbreaker baby information and 14,676 comments data. So I thought about making a word cloud about the comment data.Let's take a look at the effect chart: From the above picture can see clothes, good, quality, good, like the larger keywords, that the baby in the day cat should be sold better. The specific implementation process is documented below.[TOC] Data preview:

-za-z]"," ", Sent.lower (). Strip ()). Split () in sentences.append (temp) - to returnsentences + - #The sentences in the long news are stripped out for training . thesentences = [] * forIinchx: $Sentence_list =news_to_sentences (i)Panax NotoginsengSentences + =sentence_list - the + #Configure the dimension of the word vector ANum_features = 300 the #the frequency of the words that are to be consid