import jieba
import numpy as np
import xlrd
import re
import json




# 資料載入
# jieba詞庫設定




#讀取文字，讀取其中1個
#統計包含a的單詞和不包含a的單詞
#統計主題
def chisquare(datasetTrue, datasetFlase):
    dicta ={}
    dictb ={}
    for i in datasetTrue:
        for word in i:
            if word not in dicta:
                dicta[word] = 0
            else:
                dicta[word] = dicta[word] + 1
    for i in datasetFlase:
        if word in i:
            if word not in dictb:
                dictb[word] = 0
            else:
                dictb[word] = dictb[word] + 1


    keyset = set()
    for i in dicta:
        keyset.add(i)
    for i in dictb:
        keyset.add(i)


    dictres = {}
    for w in keyset:
        if w not in dicta:
            a = 0
        else:
            a = dicta[w]
        if w not in dictb:
            b = 0
        else:
            b = dictb[w]


        c = len(datasetTrue)-a
        d = len(datasetFlase)-b
        #print(a,b,c,d)
        if (a>0 or b>0):
            chi = (a * d - b * c) ** 2 / ((a + c) * (a + b) * (b + d) * (c + d))
            print(w,chi)
            dictres[w] = chi
    return dictres
    pass




def data_gen():
    xlsfile = r'E:\work\chisquare\file\test0111.xlsx'
    book = xlrd.open_workbook(xlsfile)  # 得到Excel檔案的book物件
    sheet0 = book.sheet_by_index(0)  # 通過sheet索引獲得sheet物件
    nrows = sheet0.nrows
    jiahuoTrue = []
    jiahuoFlase = []
    for rownum in range(1, nrows):
        rowvalue = sheet0.cell_value(rownum, 2)
        rowflag = sheet0.cell_value(rownum, 1)
        if (rowflag == 1):
            jiahuoTrue.append(rowvalue)
        elif (rowflag == 0):
            jiahuoFlase.append(rowvalue)
    return jiahuoTrue,jiahuoFlase


def getwordlist(datasetTrue,datasetFlase):
    s = set()
    for i in datasetTrue:
        for w in i:
            s.add(w)
    for i in datasetFlase:
        for w in i:
            s.add(w)
    return s




# 執行評分過程
def run():
    jt,jf =data_gen()
    datasetTrue = [list(set(jieba.lcut(d))) for d in jt]
    datasetFlase = [list(set(jieba.lcut(d))) for d in jf]
    dict = chisquare(datasetTrue, datasetFlase)
    import pandas as pd
    arr = list(dict.items())
    df = pd.DataFrame(list(dict.items()), columns=['word', 'score'])
    return df
    pass




if __name__ == '__main__':
    df1=run()
    df1.sort_values("score").to_csv("res2")

    print("end")

之前的老版本一個詞一個詞計算，演算法是錯誤的，要跑幾分鐘

import jieba
import numpy as np
import xlrd
import re
import json




# 資料載入
# jieba詞庫設定


#讀取文字，讀取其中1個
#統計包含a的單詞和不包含a的單詞
#統計主題
def chisquare(datasetTrue, datasetFlase, word):
    a=b=c=d=0
    for i in datasetTrue:
        if word in i:
            a+=1
        else:
            c+=1
    for i in datasetFlase:
        if word in i:
            b+=1
        else:
            d+=1
    chi =  (a*d-b*c)**2/((a+c)*(a+b)*(b+d)*(c+d))
    #print(chi)
    return chi
    pass




def data_gen():
    xlsfile = r'E:\work\chisquare\file\test0111.xlsx'
    book = xlrd.open_workbook(xlsfile)  # 得到Excel檔案的book物件
    sheet0 = book.sheet_by_index(0)  # 通過sheet索引獲得sheet物件
    nrows = sheet0.nrows
    jiahuoTrue = []
    jiahuoFlase = []
    for rownum in range(1, nrows):
        rowvalue = sheet0.cell_value(rownum, 2)
        rowflag = sheet0.cell_value(rownum, 1)
        if (rowflag == 1):
            jiahuoTrue.append(rowvalue)
        elif (rowflag == 0):
            jiahuoFlase.append(rowvalue)
    return jiahuoTrue,jiahuoFlase


def getwordlist(datasetTrue,datasetFlase):
    s = set()
    for i in datasetTrue:
        for w in i:
            s.add(w)
    for i in datasetFlase:
        for w in i:
            s.add(w)
    return s




# 執行評分過程
def run():
    jt,jf =data_gen()
    datasetTrue = [jieba.lcut(d) for d in jt]
    datasetFlase = [jieba.lcut(d) for d in jf]
    word = "物流"
    s = getwordlist(datasetTrue, datasetFlase)
    dict = {}
    for word in s:


        dict[word] = chisquare(datasetTrue, datasetFlase, word)
        if dict[word]>0.01:
            print(word,dict[word])
    pass




if __name__ == '__main__':
    run()
    print("end")