data_clean_mood64.py

#!/usr/bin/env python3
# -*- coding:utf-8 -*-

import pandas
df = pandas.read_csv('feeling_tagged.csv')
print(df)


#import json

##讀取 json 的程式
#def jsonTextReader(jsonFilePath):
    #with open(jsonFilePath, encoding="utf-8") as f:
        #txtContent = json.load(f)
    #return txtContent


##將字串轉為「句子」列表的程式
#def text2Sentence(inputSTR):
    
         
    #for item in ("...", "…"):
        #inputSTR = inputSTR.replace(item, "")
        ##print(inputSTR+"ver 1")
        
    #for item in ("「", "，", "、", "…", "」", "。", "."):
        #inputSTR = inputSTR.replace(item, "<My_Cutting_Mark>")
        ##print(inputSTR + "ver 2")
    #for item in (","):
        #inputSTR = inputSTR.replace(item, "<My_Cutting_Mark>")
        ##print(inputSTR+"ver 3")
    
    #for i in ["1", "2", "3", "4", "5", "6", "7", "8", "9", "0"]: 
        #while i+"<My_Cutting_Mark>" in inputSTR: #修過度標記的問題
            #inputSTR = inputSTR.replace(i+"<My_Cutting_Mark>", i+",")
        ##print(inputSTR+"ver 4")

    ##for i in [str(e) for e in range(10)]: 
        ##while i+"<My_Cutting_Mark>" in inputSTR: #修過度標記的問題
            ##inputSTR = inputSTR.replace(i+"<My_Cutting_Mark>", i+",")
        ###print(inputSTR+"ver 4")

    #resultLIST = inputSTR.split("<My_Cutting_Mark>")
    #return resultLIST




#if __name__== "__main__":
    ##設定要讀取的 news.json 路徑
    #jsonFilePath= "./example/news.json"
    
    ##將 news.json 利用 [讀取 json] 的程式打開
    #txt = jsonTextReader(jsonFilePath)
    

    ##將讀出來的內容字串傳給 [將字串轉為「句子」 列表」]的程式，存為 newsLIST
    #newsLIST= text2Sentence(txt["text"])
    #newsLIST.pop()

    ##設定要讀取的 test.json 路徑
    #jsonFilePath2= "./example/test.json"

    ##將 test.json 的 sentenceLIST 內容讀出，存為 testLIST
    #txt2 = jsonTextReader(jsonFilePath2)
    #testLIST = txt2["sentence"]
    
    ##測試是否達到作業需求
    #if newsLIST == testLIST:
        #print("作業過關！")
    #else:
        #print("作業不過關，請回到上面修改或是貼文求助！")
        
    #print(testLIST)
    #print(newsLIST)
    
    ##註解功能!!!!