对需求的内容进行jieba分词并按词频排序输出excel文档

读入excel数据结构：

import pandas as pd
import jieba

df = pd.read_excel('xuqiufenxi.xls')
print(df)

#新建一列存放分词结果
df['fenci'] = ''

#遍历每一行的文本，并将分词结果存入新建的列中
for i in range(len(df)):
    print(i)
    df['fenci'][i] = ' '.join(jieba.cut(df['需求内容'][i]))
    print(df['fenci'][i])
    #统计每个词出现的次数
    word_count = {
    }
    for word in df['fenci'][i].split():
        if word in word_count:
            word_count[word] += 1
        else:
            word_count[word] = 1
    # 将word_count字典转换成dataframe
    word_count_df = pd.DataFrame(word_count.items(), columns=['word', 'count'])
    # 按照count值降序排序
    word_count_df = word_count_df.sort_values(by='count', ascending=False)
    #输出excel
    word_count_df.to_excel(f"{
      df['功能'][i]}.xlsx", index=False)

输出：