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本文介绍python统计词频的几种方法,供大家参考
目录
- def word_count1(words,n):
- word_list = []
- for word in set(words):
- num = words.counts(word)
- word_list.append([word,num])
- word_list.sort(key=lambda x:x[1], reverse=True)
- for i in range(n):
- word, count = word_list[i]
- print('{0:<15}{1:>5}'.format(word, count))
说明:运用集合对文本字符串列表去重,这样统计词汇不会重复,运用列表的counts方法统计频数,将每个词汇和其出现的次数打包成一个列表加入到word_list中,运用列表的sort方法排序,大功告成。
- def word_count2(words,n):
- counts = {}
- for word in words:
- if len(word) == 1:
- continue
- else:
- counts[word] = counts.get(word, 0) + 1
- items = list(counts.items())
- items.sort(key=lambda x:x[1], reverse=True)
- for i in range(n):
- word, count = items[i]
- print("{0:<15}{1:>5}".format(word, count))
- def word_count3(words,n):
- from collections import Counter
- counts = Counter(words)
- for ch in "": # 删除一些不需要统计的元素
- del counts[ch]
- for word, count in counts.most_common(n): # 已经按数量大小排好了
- print("{0:<15}{1:>5}".format(word, count))
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