Python 詞頻統計的 字典 導出 到 csv文件

import pandas as pd

data = {
        "q":1,
        "s":2,
        "d":3}

p = pd.DataFrame.from_dict(data,orient='index')

p.to_csv("1.csv")

#! python3
# -*- coding: utf-8 -*-
import pandas as pd
import os, codecs
import jieba
from collections import Counter
 
def get_words(txt):
    seg_list = jieba.cut(txt)
    c = Counter()
    for x in seg_list:
        if len(x)>1 and x != '\r\n':
            c[x] += 1
    print('常用詞頻度統計結果')
    #print(c)
    #df = pd.DataFrame([list(c.elements()),])
    #df.to_csv('1.csv',)
    #print( dict(c) )
    p = pd.DataFrame.from_dict(dict(c),orient='index')
    p.to_csv('1.csv',encoding='gbk')


if __name__ == '__main__':
    with codecs.open('outout1.txt', 'r', 'utf8') as f:
        txt = f.read()
    get_words(txt)