本文介绍python统计词频的几种方法，供大家参考
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))
