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2021-5-8 21시 33분 12초 merging.xlsx
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2021-5-8 21시 37분 30초 merging.xlsx
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2021-5-8 21시 6분 9초 merging.xlsx
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2021-5-8 22시 48분 54초 merging.xlsx
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2021-5-9 10시 55분 12초 merging.xlsx
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2021-5-9 12시 15분 22초 merging.xlsx
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ExcelCountifMaterial.py
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1 | -import warnings | ||
2 | -#########5/23일작성중 ######### | ||
3 | -warnings.simplefilter(("ignore")) | ||
4 | -import openpyxl | ||
5 | -import pandas as pd | ||
6 | - | ||
7 | -####### [날짜, 뉴스단어 한개] 구성 만드는 파일 차트 분석 시 count함수 이욜 할 때 참조 자료 | ||
8 | -# ex)hmm뉴스키워드날짜뉴스모으고특수삭제.xlsx 파일 넣음<- DayNewsMerge.py 중간에 주석처리 된 부분 해제하고 결과 얻기 | ||
9 | -Stockfilename = input("키워드파일이름입력:") | ||
10 | -fileStock = "C:/Users/yangj/PycharmProjects/pythonProject1/샘플/" + Stockfilename + ".xlsx" | ||
11 | -Stockfile = openpyxl.load_workbook(fileStock) # 파일이름입력 | ||
12 | -stock_ws = Stockfile.active | ||
13 | -Stock_data = [] # list 타입 | ||
14 | -date=[] | ||
15 | -i = 0 | ||
16 | -for row in stock_ws.rows: | ||
17 | - Stock_data.append([]) | ||
18 | - date.append(row[1].value) | ||
19 | - for cell in row: | ||
20 | - if cell.value != None : | ||
21 | - Stock_data[i].append(cell.value) | ||
22 | - i += 1 | ||
23 | -del Stock_data[0] | ||
24 | -del date[0] | ||
25 | -for i in range(len(Stock_data)): | ||
26 | - del Stock_data[i][0] #각 열의 첫번째 행 삭제 | ||
27 | -for i in range(len(Stock_data)): | ||
28 | - del Stock_data[i][0] #각 열의 첫번째 행 삭제 | ||
29 | -print(Stock_data) | ||
30 | -print(date) | ||
31 | -a=[] # | ||
32 | -print(len(date),len(Stock_data)) | ||
33 | -for j in range(len(Stock_data)): | ||
34 | - for k in range(len(Stock_data[j])): | ||
35 | - a.append([date[j],Stock_data[j][k]]) | ||
36 | -print(a) | ||
37 | -df_SourTar = pd.DataFrame(a) | ||
38 | -df_SourTar.to_excel(Stockfilename+'countif.xlsx',sheet_name='sheet1') | ||
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Kospi_manage.py
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1 | -import pandas as pd | ||
2 | - | ||
3 | -source = { | ||
4 | - '학년': [1, 2, 1, 3, 4], | ||
5 | - '성별': ['남자', '여자', '남자', '여자', '남자'], | ||
6 | - '국어': [98, 88, 92, 63, 120], | ||
7 | - '영어': [88, 90, 70, 60, 50], | ||
8 | - '수학': [64, 62, None, 31, None], | ||
9 | - '과학': [None, 72, None, 70, 88] | ||
10 | -} | ||
11 | -df = pd.DataFrame(source) | ||
12 | -df1=df[(df['성별']!='남자')].index | ||
13 | -df2=df.drop(df1) | ||
14 | -print(df) | ||
15 | -print("---------") | ||
16 | -print(df2) |
MergeDictionary.py
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1 | -import warnings | ||
2 | - | ||
3 | -warnings.simplefilter(("ignore")) | ||
4 | -import openpyxl | ||
5 | -import pandas as pd | ||
6 | - | ||
7 | -# 000_KNU_New_Vdic2.xlsx 파일 넣기 | ||
8 | - | ||
9 | -Stockfilefolder = input("종목시세폴더입력: ") | ||
10 | -Stockfilename = input("시세파일이름입력:") | ||
11 | -fileStock = "C:/Users/yangj/PycharmProjects/pythonProject1/뉴스키워드/" + Stockfilefolder + "/" + Stockfilename + ".xlsx" | ||
12 | -Stockfile = openpyxl.load_workbook(fileStock) # 파일이름입력 | ||
13 | -stock_ws = Stockfile.active | ||
14 | -Stock_data = [] # list 타입 | ||
15 | -i = 0 | ||
16 | -for row in stock_ws.rows: | ||
17 | - Stock_data.append([]) | ||
18 | - for cell in row: | ||
19 | - if cell.value != None: | ||
20 | - Stock_data[i].append(cell.value) | ||
21 | - i += 1 | ||
22 | -del Stock_data[0] | ||
23 | -for i in range(len(Stock_data)): | ||
24 | - del Stock_data[i][0] | ||
25 | -#print(Stock_data) | ||
26 | - | ||
27 | - | ||
28 | -vert_p = [] # 수직 중복 삭제 | ||
29 | -for i in range(len(Stock_data)): | ||
30 | - vert_p.append([]) | ||
31 | - for j in range(len(Stock_data[i])): | ||
32 | - vert_p[i].append(Stock_data[i][j]) # 단어만 넣기 | ||
33 | -print(vert_p) | ||
34 | - | ||
35 | -vert_p.sort(key=lambda x: x[0]) # 단어 기준으로 정렬 | ||
36 | -for i in range(len(vert_p) - 2): # 단어 비교해서 같으면 누적, 다르면 값 바꾸기 | ||
37 | - for j in range(i + 1, len(vert_p)): | ||
38 | - if vert_p[i][0] == vert_p[j][0] : | ||
39 | - vert_p[i][1] += vert_p[j][1] | ||
40 | - vert_p[j] = ['0', 0] | ||
41 | - if str.isalnum(vert_p[i][0]) == False: | ||
42 | - vert_p[i] =['0', 0] | ||
43 | - | ||
44 | -vert_p = [i for i in vert_p if not '0' in i] # '0'들어간 열 제거 | ||
45 | -df_ver = pd.DataFrame(vert_p) | ||
46 | -df_ver.to_excel(Stockfilename + ' Stock_dictionary2.xlsx', sheet_name='sheet1') | ||
47 | -####사전 완성#### |
Merge_dictionary.py
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1 | -import warnings | ||
2 | - | ||
3 | -warnings.simplefilter(("ignore")) | ||
4 | -import openpyxl | ||
5 | -import pandas as pd | ||
6 | - | ||
7 | -Stockfilefolder = input("종목시세폴더입력: ") | ||
8 | -Stockfilename = input("시세파일이름입력:") | ||
9 | -fileStock = "C:/Users/yangj/PycharmProjects/pythonProject1/종목별시세/" + Stockfilefolder + "/" + Stockfilename + ".xlsx" | ||
10 | -Stockfile = openpyxl.load_workbook(fileStock) # 파일이름입력 | ||
11 | -stock_ws = Stockfile.active | ||
12 | -Stock_data = [] # list 타입 | ||
13 | -i = 0 | ||
14 | -for row in stock_ws.rows: | ||
15 | - Stock_data.append([]) | ||
16 | - for cell in row: | ||
17 | - if cell.value != None: | ||
18 | - Stock_data[i].append(cell.value) | ||
19 | - i += 1 | ||
20 | -del Stock_data[0] | ||
21 | -for i in range(len(Stock_data)): | ||
22 | - del Stock_data[i][0] # 대비 삭제 | ||
23 | -#print(Stock_data) | ||
24 | - | ||
25 | - | ||
26 | -vert_p = [] # 수직 중복 삭제 | ||
27 | -for i in range(len(Stock_data)): | ||
28 | - vert_p.append([]) | ||
29 | - for j in range(len(Stock_data[i])): | ||
30 | - vert_p[i].append(Stock_data[i][j]) # 단어만 넣기 | ||
31 | -print(vert_p) | ||
32 | - | ||
33 | -vert_p.sort(key=lambda x: x[0]) # 단어 기준으로 정렬 | ||
34 | -for i in range(len(vert_p) - 2): # 단어 비교해서 같으면 누적 다르면 값 바꾸기 | ||
35 | - for j in range(i + 1, len(vert_p)): | ||
36 | - if vert_p[i][0] == vert_p[j][0] : | ||
37 | - vert_p[i][1] += vert_p[j][1] | ||
38 | - vert_p[j] = ['0', 0] | ||
39 | - if str.isalnum(vert_p[i][0]) == False: | ||
40 | - vert_p[i] =['0', 0] | ||
41 | - | ||
42 | -vert_p = [i for i in vert_p if not '0' in i] # '0'들어간 열 제거 | ||
43 | -df_ver = pd.DataFrame(vert_p) | ||
44 | -df_ver.to_excel(Stockfilename + ' Stock_dictionary2.xlsx', sheet_name='sheet1') |
ReadME.md
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1 | -# **뉴스 키워드 노출 빈도수에 따른 기업 주가 영향 분석** | ||
2 | ---------------------------------------------------- | ||
3 | ----------------------------------------------------- | ||
4 | - | ||
5 | - | ||
6 | -## **지도교수님** | ||
7 | -* 한치근 교수님 | ||
8 | - | ||
9 | -## **팀원** | ||
10 | -* 2017104003 컴퓨터공학과 양지수 | ||
11 | -* 2017104039 컴퓨터공학과 한서흔 | ||
12 | - | ||
13 | ---- | ||
14 | - | ||
15 | -## **개발일정** | ||
16 | -* 2021.03.09~2021.03.22 데이터 수집 | ||
17 | -* 2021.03.23~2021.04.19 자연어 처리,중간보고서 작성 | ||
18 | -* 2021.04.20~2021.05.04 감성사전 분석 및 특화 사전 제작 | ||
19 | -* 2021.05.05~ 중심성 분석 및 최종 결과 제작 |
hmm1월.xlsx
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hmm1월_가중치추출.xlsx
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hmm1월_명사추출.xlsx
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hmm2월_명사추출.xlsx
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hmm2월_명사추출_숫자제외.xlsx
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knp.py
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1 | -import warnings | ||
2 | -warnings.simplefilter(("ignore")) | ||
3 | -import konlpy | ||
4 | -from konlpy.tag import * | ||
5 | -import openpyxl | ||
6 | -import pandas as pd | ||
7 | -from math import log10 | ||
8 | -import numpy as np | ||
9 | - | ||
10 | -#형태소분석라이브러리 | ||
11 | -#okt = Okt() | ||
12 | -hannanum = Hannanum() | ||
13 | -#filename= input("분석할 파일이름 입력:") #파일명 | ||
14 | -filefolder = input("종목폴더입력: ") | ||
15 | -filename=input("파일이름입력:") | ||
16 | -filepos = "C:/Users/yangj/PycharmProjects/pythonProject1/뉴스크롤링/"+filefolder+"/" + filename + ".xlsx" | ||
17 | -kfile = openpyxl.load_workbook(filepos)#파일이름입력 | ||
18 | -sheet=kfile.worksheets[0]#sheet1에 있는 데이터 가죠오기 | ||
19 | -#print(sheet) | ||
20 | -data=[] | ||
21 | -for row in sheet.rows: #data에 크롤링한 뉴스 제목들 저장 | ||
22 | - data.append( | ||
23 | - row[1].value | ||
24 | - ) | ||
25 | -#print(data) | ||
26 | -#print(type(data[1])) #str | ||
27 | - | ||
28 | -newData2=[] | ||
29 | - | ||
30 | -#print(newData) | ||
31 | -for i in range(len(data)-1): | ||
32 | - newData2.append(hannanum.nouns(data[i+1])) #명사만 추출hannanum가 okt보다 성능좋음 | ||
33 | -#print(newData2) | ||
34 | - | ||
35 | -newData3=[] | ||
36 | -for i in range(len(newData2)): | ||
37 | - newData3.append([]) | ||
38 | - for j in newData2[i]: | ||
39 | - if any(map(str.isdigit,j))==False and len(j)>1: #추출한 결과가 숫자포함이거나 한글자 인것 제외 | ||
40 | - newData3[i].append(j) | ||
41 | -#print(newData3) | ||
42 | - | ||
43 | -#print(type(newData2))#newData2 데이터 형식은 list | ||
44 | -#df= pd.DataFrame.from_records(newData3)#newData3 dataframe으로 변환 | ||
45 | -#df.to_excel(filename+'_명사추출_숫자제외'+'.xlsx') #파일명의 엑셀로 변환 | ||
46 | - | ||
47 | -#TF-IDF함수 시작 | ||
48 | - | ||
49 | -def f(t, d): # 엑셀 d 안에 있는 t 빈도 세기 | ||
50 | - return d.count(t) | ||
51 | - | ||
52 | -def tf(t, d): #tf(t,d)증가빈도 공식 적용 | ||
53 | - return 0.5 + 0.5*f(t,d)/max([f(w,d) for w in d]) | ||
54 | - | ||
55 | -def idf(t, D): #역문서 빈도 공식 적용 | ||
56 | - numerator = len(D) #문서 집합에 포함 된 문서 수 | ||
57 | - denominator = 1 + len([ True for d in D if t in d]) #1더해서 0되는 것 방지 | ||
58 | - return log10(numerator/denominator) | ||
59 | - | ||
60 | -def tfidf(t, d, D): | ||
61 | - return tf(t,d)*idf(t, D) | ||
62 | - | ||
63 | -def tfidfScorer(D): | ||
64 | - result = [] | ||
65 | - for d in D: | ||
66 | - result.append([(t, tfidf(t, d, D)) for t in d] ) | ||
67 | - return result | ||
68 | - | ||
69 | -#newData3는 명사추출을 통해 분리되어있음(이미 split상태) | ||
70 | - | ||
71 | -if __name__ == '__main__': | ||
72 | - corpus=[] | ||
73 | - for i in range(len(newData3)): | ||
74 | - corpus.append(newData3[i]) | ||
75 | - TfIf=[] #결과저장 | ||
76 | - for i, result in enumerate(tfidfScorer(corpus)): | ||
77 | - #print('====== document[%d] ======' % i) | ||
78 | - #print(result) | ||
79 | - TfIf.append(result) | ||
80 | -print(TfIf)#TFIF는 (단어,가중치) 조합으로 저장 | ||
81 | -for i in range(len(TfIf)-1): | ||
82 | - TfIf[i].sort(key=lambda x:x[1], reverse=True) #가중치기준 내림차순 정렬 | ||
83 | -print(TfIf) | ||
84 | -onlynouns = [] | ||
85 | -for i in range(len(TfIf)): | ||
86 | - onlynouns.append([]) | ||
87 | - for j in range(len(TfIf[i])): | ||
88 | - for k in range(len(TfIf[i][j])): | ||
89 | - if k%2==0: | ||
90 | - onlynouns[i].append(TfIf[i][j][k]) | ||
91 | -print(onlynouns) | ||
92 | -#df= pd.DataFrame.from_records(TfIf)#TfIf dataframe으로 변환 | ||
93 | -#df.to_excel(filename+'_가중치추출_내림정렬'+'.xlsx') | ||
94 | - |
knu/.idea/knu.iml
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1 | -<?xml version="1.0" encoding="UTF-8"?> | ||
2 | -<module type="PYTHON_MODULE" version="4"> | ||
3 | - <component name="NewModuleRootManager"> | ||
4 | - <content url="file://$MODULE_DIR$" /> | ||
5 | - <orderEntry type="inheritedJdk" /> | ||
6 | - <orderEntry type="sourceFolder" forTests="false" /> | ||
7 | - </component> | ||
8 | -</module> | ||
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knu/.idea/misc.xml
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knu/.idea/modules.xml
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1 | -<?xml version="1.0" encoding="UTF-8"?> | ||
2 | -<project version="4"> | ||
3 | - <component name="ProjectModuleManager"> | ||
4 | - <modules> | ||
5 | - <module fileurl="file://$PROJECT_DIR$/.idea/knu.iml" filepath="$PROJECT_DIR$/.idea/knu.iml" /> | ||
6 | - </modules> | ||
7 | - </component> | ||
8 | -</project> | ||
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knu/.idea/vcs.xml
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1 | -<?xml version="1.0" encoding="UTF-8"?> | ||
2 | -<project version="4"> | ||
3 | - <component name="VcsDirectoryMappings"> | ||
4 | - <mapping directory="$PROJECT_DIR$/.." vcs="Git" /> | ||
5 | - <mapping directory="$PROJECT_DIR$/KnuSentiLex" vcs="Git" /> | ||
6 | - </component> | ||
7 | -</project> | ||
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knu/.idea/workspace.xml
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1 | -<?xml version="1.0" encoding="UTF-8"?> | ||
2 | -<project version="4"> | ||
3 | - <component name="ChangeListManager"> | ||
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16 | - <change afterPath="$PROJECT_DIR$/../venv/Lib/site-packages/MeCab.py" afterDir="false" /> | ||
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376 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/금호석유/2021-4-16 9시 45분 49초 merging.xlsx" beforeDir="false" /> | ||
377 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/금호석유/2021-4-16 9시 53분 0초 merging.xlsx" beforeDir="false" /> | ||
378 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/금호석유/2021-4-16 9시 58분 44초 merging.xlsx" beforeDir="false" /> | ||
379 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/금호석유/금호석유10월.xlsx" beforeDir="false" /> | ||
380 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/금호석유/금호석유11월.xlsx" beforeDir="false" /> | ||
381 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/금호석유/금호석유12월.xlsx" beforeDir="false" /> | ||
382 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/금호석유/금호석유1월.xlsx" beforeDir="false" /> | ||
383 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/금호석유/금호석유2월.xlsx" beforeDir="false" /> | ||
384 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/금호석유/금호석유3월.xlsx" beforeDir="false" /> | ||
385 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/대한항공/2021-4-14 15시 32분 35초 merging.xlsx" beforeDir="false" /> | ||
386 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/대한항공/2021-4-14 15시 40분 14초 merging.xlsx" beforeDir="false" /> | ||
387 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/대한항공/2021-4-14 15시 47분 35초 merging.xlsx" beforeDir="false" /> | ||
388 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/대한항공/2021-4-14 16시 13분 52초 merging.xlsx" beforeDir="false" /> | ||
389 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/대한항공/2021-4-14 16시 21분 37초 merging.xlsx" beforeDir="false" /> | ||
390 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/대한항공/2021-4-14 16시 32분 13초 merging.xlsx" beforeDir="false" /> | ||
391 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/대한항공/대한항공10월.xlsx" beforeDir="false" /> | ||
392 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/대한항공/대한항공11월.xlsx" beforeDir="false" /> | ||
393 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/대한항공/대한항공12월.xlsx" beforeDir="false" /> | ||
394 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/대한항공/대한항공1월.xlsx" beforeDir="false" /> | ||
395 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/대한항공/대한항공2월.xlsx" beforeDir="false" /> | ||
396 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/대한항공/대한항공3월.xlsx" beforeDir="false" /> | ||
397 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/롯데케미칼/롯데케미칼10월.xlsx" beforeDir="false" /> | ||
398 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/롯데케미칼/롯데케미칼11월.xlsx" beforeDir="false" /> | ||
399 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/롯데케미칼/롯데케미칼12월.xlsx" beforeDir="false" /> | ||
400 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/롯데케미칼/롯데케미칼1월.xlsx" beforeDir="false" /> | ||
401 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/롯데케미칼/롯데케미칼2월.xlsx" beforeDir="false" /> | ||
402 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/롯데케미칼/롯데케미칼3월.xlsx" beforeDir="false" /> | ||
403 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/빅히트/2021-4-14 17시 31분 28초 merging.xlsx" beforeDir="false" /> | ||
404 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/빅히트/2021-4-14 17시 49분 31초 merging.xlsx" beforeDir="false" /> | ||
405 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/빅히트/2021-4-14 17시 57분 40초 merging.xlsx" beforeDir="false" /> | ||
406 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/빅히트/2021-4-14 18시 0분 54초 merging.xlsx" beforeDir="false" /> | ||
407 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/빅히트/2021-4-14 18시 32분 49초 merging.xlsx" beforeDir="false" /> | ||
408 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/빅히트/2021-4-14 18시 48분 0초 merging.xlsx" beforeDir="false" /> | ||
409 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/빅히트/2021-4-14 18시 6분 26초 merging.xlsx" beforeDir="false" /> | ||
410 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/빅히트/2021-4-14 19시 19분 23초 merging.xlsx" beforeDir="false" /> | ||
411 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/빅히트/2021-4-14 19시 25분 56초 merging.xlsx" beforeDir="false" /> | ||
412 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/빅히트/2021-4-14 19시 3분 23초 merging.xlsx" beforeDir="false" /> | ||
413 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/빅히트/하이브10월.xlsx" beforeDir="false" /> | ||
414 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/빅히트/하이브11월.xlsx" beforeDir="false" /> | ||
415 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/빅히트/하이브12월.xlsx" beforeDir="false" /> | ||
416 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/빅히트/하이브1월.xlsx" beforeDir="false" /> | ||
417 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/빅히트/하이브2월.xlsx" beforeDir="false" /> | ||
418 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/빅히트/하이브3월.xlsx" beforeDir="false" /> | ||
419 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/신한지주/2021-4-16 18시 34분 49초 merging.xlsx" beforeDir="false" /> | ||
420 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/신한지주/2021-4-16 18시 50분 30초 merging.xlsx" beforeDir="false" /> | ||
421 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/신한지주/2021-4-16 18시 57분 35초 merging.xlsx" beforeDir="false" /> | ||
422 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/신한지주/2021-4-16 19시 12분 52초 merging.xlsx" beforeDir="false" /> | ||
423 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/신한지주/2021-4-16 19시 22분 8초 merging.xlsx" beforeDir="false" /> | ||
424 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/신한지주/2021-4-16 19시 30분 6초 merging.xlsx" beforeDir="false" /> | ||
425 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/신한지주/2021-4-16 19시 4분 15초 merging.xlsx" beforeDir="false" /> | ||
426 | - <change beforePath="$PROJECT_DIR$/../뉴스크롤링/신한지주/신한지주3월.xlsx" beforeDir="false" /> | ||
427 | - </list> | ||
428 | - <option name="SHOW_DIALOG" value="false" /> | ||
429 | - <option name="HIGHLIGHT_CONFLICTS" value="true" /> | ||
430 | - <option name="HIGHLIGHT_NON_ACTIVE_CHANGELIST" value="false" /> | ||
431 | - <option name="LAST_RESOLUTION" value="IGNORE" /> | ||
432 | - </component> | ||
433 | - <component name="Git.Settings"> | ||
434 | - <option name="RECENT_GIT_ROOT_PATH" value="$PROJECT_DIR$/KnuSentiLex" /> | ||
435 | - </component> | ||
436 | - <component name="ProjectId" id="1sKE1vqX6hUM7q0Ohx8nPpqQpTo" /> | ||
437 | - <component name="ProjectLevelVcsManager" settingsEditedManually="true" /> | ||
438 | - <component name="ProjectViewState"> | ||
439 | - <option name="hideEmptyMiddlePackages" value="true" /> | ||
440 | - <option name="showLibraryContents" value="true" /> | ||
441 | - </component> | ||
442 | - <component name="PropertiesComponent"> | ||
443 | - <property name="RunOnceActivity.OpenProjectViewOnStart" value="true" /> | ||
444 | - <property name="RunOnceActivity.ShowReadmeOnStart" value="true" /> | ||
445 | - <property name="WebServerToolWindowFactoryState" value="false" /> | ||
446 | - <property name="last_opened_file_path" value="$PROJECT_DIR$" /> | ||
447 | - <property name="node.js.detected.package.eslint" value="true" /> | ||
448 | - <property name="node.js.detected.package.tslint" value="true" /> | ||
449 | - <property name="node.js.path.for.package.eslint" value="project" /> | ||
450 | - <property name="node.js.path.for.package.tslint" value="project" /> | ||
451 | - <property name="node.js.selected.package.eslint" value="(autodetect)" /> | ||
452 | - <property name="node.js.selected.package.tslint" value="(autodetect)" /> | ||
453 | - </component> | ||
454 | - <component name="RunManager"> | ||
455 | - <configuration name="knusl" type="PythonConfigurationType" factoryName="Python" temporary="true" nameIsGenerated="true"> | ||
456 | - <module name="knu" /> | ||
457 | - <option name="INTERPRETER_OPTIONS" value="" /> | ||
458 | - <option name="PARENT_ENVS" value="true" /> | ||
459 | - <envs> | ||
460 | - <env name="PYTHONUNBUFFERED" value="1" /> | ||
461 | - </envs> | ||
462 | - <option name="SDK_HOME" value="" /> | ||
463 | - <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$/KnuSentiLex" /> | ||
464 | - <option name="IS_MODULE_SDK" value="true" /> | ||
465 | - <option name="ADD_CONTENT_ROOTS" value="true" /> | ||
466 | - <option name="ADD_SOURCE_ROOTS" value="true" /> | ||
467 | - <EXTENSION ID="PythonCoverageRunConfigurationExtension" runner="coverage.py" /> | ||
468 | - <option name="SCRIPT_NAME" value="$PROJECT_DIR$/KnuSentiLex/knusl.py" /> | ||
469 | - <option name="PARAMETERS" value="" /> | ||
470 | - <option name="SHOW_COMMAND_LINE" value="false" /> | ||
471 | - <option name="EMULATE_TERMINAL" value="false" /> | ||
472 | - <option name="MODULE_MODE" value="false" /> | ||
473 | - <option name="REDIRECT_INPUT" value="false" /> | ||
474 | - <option name="INPUT_FILE" value="" /> | ||
475 | - <method v="2" /> | ||
476 | - </configuration> | ||
477 | - <recent_temporary> | ||
478 | - <list> | ||
479 | - <item itemvalue="Python.knusl" /> | ||
480 | - </list> | ||
481 | - </recent_temporary> | ||
482 | - </component> | ||
483 | - <component name="SpellCheckerSettings" RuntimeDictionaries="0" Folders="0" CustomDictionaries="0" DefaultDictionary="application-level" UseSingleDictionary="true" transferred="true" /> | ||
484 | - <component name="TaskManager"> | ||
485 | - <task active="true" id="Default" summary="Default task"> | ||
486 | - <changelist id="c0303638-0fd2-416a-ba15-34825add524a" name="Default Changelist" comment="" /> | ||
487 | - <created>1620612669345</created> | ||
488 | - <option name="number" value="Default" /> | ||
489 | - <option name="presentableId" value="Default" /> | ||
490 | - <updated>1620612669345</updated> | ||
491 | - <workItem from="1620612670534" duration="1478000" /> | ||
492 | - </task> | ||
493 | - <servers /> | ||
494 | - </component> | ||
495 | - <component name="TypeScriptGeneratedFilesManager"> | ||
496 | - <option name="version" value="3" /> | ||
497 | - </component> | ||
498 | - <component name="com.intellij.coverage.CoverageDataManagerImpl"> | ||
499 | - <SUITE FILE_PATH="coverage/knu$knusl.coverage" NAME="knusl Coverage Results" MODIFIED="1620612704306" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="true" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$/KnuSentiLex" /> | ||
500 | - </component> | ||
501 | -</project> | ||
... | \ No newline at end of file | ... | \ No newline at end of file |
knu/KnuSentiLex/DayNewsMerge.py
deleted
100644 → 0
1 | -import warnings | ||
2 | - | ||
3 | -warnings.simplefilter(("ignore")) | ||
4 | -import openpyxl | ||
5 | -import pandas as pd | ||
6 | - | ||
7 | -#######Gephi에 사용할 edge파일 만들기 전에 필요한 자료 만드는 과정 | ||
8 | -####6개월치 키워드 합친 키워드 파일 넣기 | ||
9 | - | ||
10 | -Stockfilename = input("키워드파일이름입력:") | ||
11 | -fileStock = "C:/Users/yangj/PycharmProjects/pythonProject1/샘플/" + Stockfilename + ".xlsx" | ||
12 | -Stockfile = openpyxl.load_workbook(fileStock) # 파일이름입력 | ||
13 | -stock_ws = Stockfile.active | ||
14 | -Stock_data = [] # list 타입 | ||
15 | -date=[] | ||
16 | -i = 0 | ||
17 | -for row in stock_ws.rows: | ||
18 | - Stock_data.append([]) | ||
19 | - date.append(row[1].value) | ||
20 | - for cell in row: | ||
21 | - if cell.value != None: | ||
22 | - Stock_data[i].append(cell.value) | ||
23 | - i += 1 | ||
24 | -del Stock_data[0] #첫번째 의미없는 열 삭제 | ||
25 | -del date[0] | ||
26 | -for i in range(len(Stock_data)): | ||
27 | - del Stock_data[i][0] #각 열의 첫번째 행 삭제 | ||
28 | -for i in range(len(Stock_data)): | ||
29 | - del Stock_data[i][0] #각 열의 날짜 행 삭제 | ||
30 | - | ||
31 | - | ||
32 | -Tdata=[] | ||
33 | - | ||
34 | -for x in range(len(Stock_data)): | ||
35 | - Tdata.append([]) | ||
36 | - for y in range(len(Stock_data[x])): | ||
37 | - if str.isalnum(Stock_data[x][y]) == True: | ||
38 | - Tdata[x].append(Stock_data[x][y]) | ||
39 | - | ||
40 | -result = { '날짜':date, '단어':Tdata } | ||
41 | - | ||
42 | -df = pd.DataFrame(result) | ||
43 | -#print(df) | ||
44 | -list_df=df.values.tolist() #dataframe list로 변경 | ||
45 | -print(list_df) | ||
46 | -#print(list_df[0][0]) 날짜 2021.01.01. | ||
47 | - | ||
48 | -new_date = [] # 날짜 중복 삭제 | ||
49 | -for v in date: | ||
50 | - if v not in new_date: | ||
51 | - new_date.append(v) | ||
52 | -#print(new_date) | ||
53 | - | ||
54 | -Setlist =[]# 날짜별 키워드 넣기 | ||
55 | -for v in range(len(new_date)): | ||
56 | - Setlist.append([]) | ||
57 | - Setlist[v].append(new_date[v]) | ||
58 | - for i in range(len(list_df)): | ||
59 | - for j in range(len(list_df[i][1])): | ||
60 | - if new_date[v] == list_df[i][0] : | ||
61 | - Setlist[v].append(list_df[i][1][j]) | ||
62 | -print(Setlist) | ||
63 | -df_ver= pd.DataFrame(Setlist) | ||
64 | -#df_ver.to_excel(Stockfilename+' 날짜뉴스모으고특수삭제.xlsx',sheet_name='sheet1') | ||
65 | -SourceTarget=[] | ||
66 | -for i in range(len(list_df)): | ||
67 | - SourceTarget.append([]) | ||
68 | - for j in range(len(list_df[i][1])-1): | ||
69 | - SourceTarget.append([list_df[i][0],list_df[i][1][j],list_df[i][1][j+1],1]) | ||
70 | -print(SourceTarget) | ||
71 | -SourceTarget = [v for v in SourceTarget if v] | ||
72 | -df_SourTar = pd.DataFrame(SourceTarget) | ||
73 | -df_SourTar.to_excel(Stockfilename+'Edge3.xlsx',sheet_name='sheet1') | ||
... | \ No newline at end of file | ... | \ No newline at end of file |
knu/KnuSentiLex/KNUEdit.py
deleted
100644 → 0
1 | -# KNU 한국어 감성사전 | ||
2 | -# 작성자 : 온병원, 박상민, 나철원 | ||
3 | -# 소속 : 군산대학교 소프트웨어융합공학과 Data Intelligence Lab | ||
4 | -# 홈페이지 : dilab.kunsan.ac.kr | ||
5 | -# 작성일 : 2018.05.14 | ||
6 | -# 뜻풀이 데이터 출처 : https://github.com/mrchypark/stdkor | ||
7 | -# 신조어 데이터 출처 : https://ko.wikipedia.org/wiki/%EB%8C%80%ED%95%9C%EB%AF%BC%EA%B5%AD%EC%9D%98_%EC%9D%B8%ED%84%B0%EB%84%B7_%EC%8B%A0%EC%A1%B0%EC%96%B4_%EB%AA%A9%EB%A1%9D | ||
8 | -# 이모티콘 데이터 출처: https://ko.wikipedia.org/wiki/%EC%9D%B4%EB%AA%A8%ED%8B%B0%EC%BD%98 | ||
9 | -# SentiWordNet_3.0.0_20130122 데이터 출처 : http://sentiwordnet.isti.cnr.it/ | ||
10 | -# SenticNet-5.0 데이터 출처 : http://sentic.net/ | ||
11 | -# 감정단어사전0603 데이터 출처 : http://datascience.khu.ac.kr/board/bbs/board.php?bo_table=05_01&wr_id=91 | ||
12 | -# 김은영, “국어 감정동사 연구”, 2004.02, 학위논문(박사) - 전남대학교 국어국문학과 대학원 | ||
13 | - | ||
14 | -#-*-coding:utf-8-*- | ||
15 | -import collections | ||
16 | -import json | ||
17 | - | ||
18 | -import warnings | ||
19 | -warnings.simplefilter(("ignore")) | ||
20 | -import openpyxl | ||
21 | -import pandas as pd | ||
22 | -import re | ||
23 | -from datetime import datetime | ||
24 | - | ||
25 | -############종목 감성 판단 ex)hmm뉴스키워드.xlsx 파일 넣는 과정 | ||
26 | -class KnuSL(): | ||
27 | - | ||
28 | - def data_list(wordname): | ||
29 | - with open('KnuSentiLex/data/SentiWord_info.json', encoding='utf-8-sig', mode='r') as f: | ||
30 | - data = json.load(f) | ||
31 | - result = [0,0] | ||
32 | - | ||
33 | - for i in range(0, len(data)): | ||
34 | - if data[i]['word'] == wordname: | ||
35 | - result.pop() | ||
36 | - result.pop() | ||
37 | - result.append(data[i]['word_root']) | ||
38 | - result.append(int(data[i]['polarity'])) | ||
39 | - | ||
40 | - r_word = result[0] #어근 | ||
41 | - s_word = result[1] #극성 | ||
42 | - | ||
43 | - return s_word | ||
44 | - | ||
45 | -if __name__ == "__main__": | ||
46 | - | ||
47 | - ksl = KnuSL | ||
48 | - | ||
49 | - print("\nKNU 한국어 감성사전입니다~ :)") | ||
50 | - print("사전에 단어가 없는 경우 결과가 None으로 나타납니다!!!") | ||
51 | - print("종료하시려면 #을 입력해주세요!!!") | ||
52 | - print("-2:매우 부정, -1:부정, 0:중립 or Unkwon, 1:긍정, 2:매우 긍정") | ||
53 | - print("\n") | ||
54 | -######### | ||
55 | -Newsfilefolder = input("종목폴더입력: ") | ||
56 | -Newsfilename=input("파일이름입력:") | ||
57 | -Newsfilepos = "C:/Users/yangj/PycharmProjects/pythonProject1/뉴스키워드/"+Newsfilefolder+"/" + Newsfilename + ".xlsx" | ||
58 | -Newsfile = openpyxl.load_workbook(Newsfilepos)#파일이름입력 | ||
59 | -ws=Newsfile.active | ||
60 | -data=[] | ||
61 | -date=[] | ||
62 | -i=0 | ||
63 | -for row in ws.rows: | ||
64 | - data.append([]) | ||
65 | - date.append(row[1].value) | ||
66 | - for cell in row: | ||
67 | - if cell.value != None: | ||
68 | - data[i].append(cell.value) | ||
69 | - i += 1 | ||
70 | -del data[0] #첫번째 의미없는 열 삭제 | ||
71 | -del date[0] | ||
72 | -for i in range(len(data)): | ||
73 | - del data[i][0] #각 열의 첫번째 행 삭제 | ||
74 | -for i in range(len(data)): | ||
75 | - del data[i][0] #각 열의 날짜 행 삭제 | ||
76 | - | ||
77 | -KNUdata=[] | ||
78 | -Tdata=[] | ||
79 | - | ||
80 | -for x in range(len(data)): | ||
81 | - KNUdata.append([]) | ||
82 | - Tdata.append([]) | ||
83 | - for y in range(len(data[x])): | ||
84 | - KNUdata[x].append(ksl.data_list(data[x][y])) | ||
85 | - Tdata[x].append([data[x][y], KNUdata[x][y]]) | ||
86 | - | ||
87 | -result = { '날짜':date, '단어, 극성':Tdata } | ||
88 | - | ||
89 | -df = pd.DataFrame(result) | ||
90 | -#print(df) | ||
91 | -list_df=df.values.tolist() #dataframe list로 변경 | ||
92 | -#print(list_df) | ||
93 | -#print(list_df[0][0]) 날짜 2021.01.01. | ||
94 | - | ||
95 | -new_date = [] # 날짜 중복 삭제 | ||
96 | -for v in date: | ||
97 | - if v not in new_date: | ||
98 | - new_date.append(v) | ||
99 | -#print(new_date) | ||
100 | - | ||
101 | -Setlist =[]# 날짜별 키워드 넣기 | ||
102 | -for v in range(len(new_date)): | ||
103 | - Setlist.append([]) | ||
104 | - Setlist[v].append(new_date[v]) | ||
105 | - for i in range(len(list_df)): | ||
106 | - for j in range(len(list_df[i][1])): | ||
107 | - if new_date[v] == list_df[i][0]: | ||
108 | - Setlist[v].append(list_df[i][1][j]) | ||
109 | -print(Setlist) | ||
110 | -print(Setlist[0][0]) #2021.01.01 | ||
111 | -print(type(Setlist[0][0])) | ||
112 | -print(Setlist[0][0].split('-')) | ||
113 | -print(Setlist[0][1][1]) #극성 0 | ||
114 | -print(type(Setlist[0][1][1])) #극성 모든 타입 int | ||
115 | - | ||
116 | -#print(list_df[0][1][0]) 키워드와 극성 ['HMM…"체질개선해', 'X'] | ||
117 | -#print(list_df[0][1][0][1]) 극성 x | ||
118 | -#print(list_df[0][0].split('.')[:3]) ['2021', '01', '01'] | ||
119 | -#df.to_excel(Newsfilename+' KNU.xlsx',sheet_name='sheet1') | ||
120 | - | ||
121 | -Stockfilefolder = input("종목시세폴더입력: ") | ||
122 | -Stockfilename=input("시세파일이름입력:") | ||
123 | -fileStock = "C:/Users/yangj/PycharmProjects/pythonProject1/종목별시세/"+Stockfilefolder+"/" + Stockfilename + ".xlsx" | ||
124 | -Stockfile = openpyxl.load_workbook(fileStock)#파일이름입력 | ||
125 | -stock_ws=Stockfile.active | ||
126 | -Stock_data=[] #list 타입 | ||
127 | -i=0 | ||
128 | -for row in stock_ws.rows: | ||
129 | - Stock_data.append([]) | ||
130 | - for cell in row: | ||
131 | - if cell.value != None: | ||
132 | - Stock_data[i].append(cell.value) | ||
133 | - i += 1 | ||
134 | -del Stock_data[0] | ||
135 | -for i in range(len(Stock_data)): | ||
136 | - del Stock_data[i][2] # 대비 삭제 | ||
137 | -for i in range(len(Stock_data)): | ||
138 | - del Stock_data[i][7] #거래대금 삭제 | ||
139 | -for i in range(len(Stock_data)): | ||
140 | - del Stock_data[i][7] #시가 총액 삭제 | ||
141 | -for i in range(len(Stock_data)): | ||
142 | - del Stock_data[i][7] #상장주식 수 삭제 / 결과:'일자', '종가', '등락률', '시가', '고가', '저가', '거래량' | ||
143 | -#print(Stock_data) | ||
144 | - | ||
145 | -def Calpercentage(a,b): #시초가 대비 고점/저점 비율 | ||
146 | - return abs(a-b)/a*100 | ||
147 | -####아래로 수정 필요 (미완성)#### | ||
148 | - | ||
149 | -i=0 | ||
150 | -for k in range(len(Setlist)): | ||
151 | - if( Stock_data[i][0].split('/') == Setlist[k][0].split('-')): # 날짜 비교 날짜가 같다면 | ||
152 | - if Calpercentage(Stock_data[i][3],Stock_data[i][4]) > 2 : #당일 시가 대비 고가가 2퍼 높을때 | ||
153 | - for j in range(1,len(Setlist[k])): | ||
154 | - if Setlist[k][j][1] == 0: | ||
155 | - Setlist[k][j][1] = 1 | ||
156 | - else: | ||
157 | - Setlist[0][j][1] += 1 | ||
158 | - elif Calpercentage(Stock_data[i][3],Stock_data[i][5]) < -2 : #당일 시가 대비 저가가 2퍼 낮을 때 | ||
159 | - for j in range(1,len(Setlist[k])): | ||
160 | - if Setlist[k][j][1] == 0: | ||
161 | - Setlist[k][j][1] = -1 | ||
162 | - else: | ||
163 | - Setlist[0][j][1] -= 1 | ||
164 | - else: | ||
165 | - if Stock_data[i+1][2] > 0: # 다음날 주가 등락률이 양수면 | ||
166 | - for j in range(1,len(Setlist[k])): #어제뉴스는 호재 취급 | ||
167 | - if Setlist[k][j][1] == 0: | ||
168 | - Setlist[k][j][1] = 1 | ||
169 | - else: | ||
170 | - Setlist[k][j][1] += 1 | ||
171 | - elif Stock_data[i+1][2] < 0: | ||
172 | - for j in range(1,len(Setlist[k])): # 음수면 어제 뉴스는 악재 취급 | ||
173 | - if Setlist[k][j][1] == 0: | ||
174 | - Setlist[k][j][1] = -1 | ||
175 | - else: | ||
176 | - Setlist[k][j][1] -= 1 | ||
177 | - i+=1 | ||
178 | - else: | ||
179 | - if Calpercentage(Stock_data[i][3], Stock_data[i][4]) > 2: # 당일 시가 대비 고가가 2퍼 높을때 | ||
180 | - for j in range(1, len(Setlist[k])): | ||
181 | - if Setlist[k][j][1] == 0: | ||
182 | - Setlist[k][j][1] = 1 | ||
183 | - else: | ||
184 | - Setlist[k][j][1] += 1 | ||
185 | - elif Calpercentage(Stock_data[i][3], Stock_data[i][5]) < -2: # 당일 시가 대비 저가가 2퍼 낮을 때 | ||
186 | - for j in range(1, len(Setlist[k])): | ||
187 | - if Setlist[k][j][1] == 0: | ||
188 | - Setlist[k][j][1] = -1 | ||
189 | - else: | ||
190 | - Setlist[k][j][1] -= 1 | ||
191 | - else: | ||
192 | - if Stock_data[i + 1][2] > 0: # 다음날 주가 등락률이 양수면 | ||
193 | - for j in range(1, len(Setlist[k])): # 어제뉴스는 호재 취급 | ||
194 | - if Setlist[k][j][1] == 0: | ||
195 | - Setlist[k][j][1] = 1 | ||
196 | - else: | ||
197 | - Setlist[k][j][1] += 1 | ||
198 | - elif Stock_data[i + 1][2] < 0: | ||
199 | - for j in range(1, len(Setlist[k])): # 음수면 어제 뉴스는 악재 취급 | ||
200 | - if Setlist[k][j][1] == 0: | ||
201 | - Setlist[k][j][1] = -1 | ||
202 | - else: | ||
203 | - Setlist[k][j][1] -= 1 | ||
204 | - i+=1 #<이거 삭제서 hmm한번 더 돌려보기 | ||
205 | - | ||
206 | -print(Setlist) | ||
207 | - | ||
208 | -#df_Setlist = pd.DataFrame(Setlist) | ||
209 | -#df_Setlist.to_excel(Stockfilename+' KNU_New.xlsx',sheet_name='sheet1') | ||
210 | - | ||
211 | -Setlist_w = [] | ||
212 | -for i in range(len(Setlist)): | ||
213 | - Setlist_w.append([]) | ||
214 | - for j in range(1, len(Setlist[i])): | ||
215 | - Setlist_w[i].append(Setlist[i][j][0]) # 극성 제외 단어만 추출 | ||
216 | - | ||
217 | -counter = {} | ||
218 | -for i in range(len(Setlist_w)): | ||
219 | - counter[i] = collections.Counter(Setlist_w[i]) # 누적치 | ||
220 | - | ||
221 | -for i in range(len(Setlist_w)): | ||
222 | - Setlist_w[i] = list(zip(counter[i].keys(), counter[i].values())) # 튜플 리스트화 [(값, 값)] | ||
223 | - | ||
224 | -Plist = [] | ||
225 | -for i in range(len(Setlist_w)): | ||
226 | - Plist.append([]) | ||
227 | - for j in range(len(Setlist_w[i])): | ||
228 | - Plist[i].append(list(Setlist_w[i][j])) # 튜플 -> 리스트화 [[값, 값]] | ||
229 | - | ||
230 | -for i in range(len(Plist)): | ||
231 | - for j in range(len(Plist[i])): | ||
232 | - Plist[i][j][1] = 0 # 극성 0으로 초기화 | ||
233 | - | ||
234 | -for i in range(len(Setlist)): | ||
235 | - for j in range(1, len(Setlist[i])): | ||
236 | - for h in range(len(Plist[i])): | ||
237 | - if Setlist[i][j][0] == Plist[i][h][0]: | ||
238 | - Plist[i][h][1] += Setlist[i][j][1] #누적치 | ||
239 | -vert_p=[] #수직 중복 삭제 | ||
240 | -for i in range(len(Plist)): | ||
241 | - for j in range(len(Plist[i])): | ||
242 | - vert_p.append(Plist[i][j]) #단어만 넣기 | ||
243 | -#print(vert_p) | ||
244 | -vert_p.sort(key=lambda x:x[0]) #단어 기준으로 정렬 | ||
245 | -for i in range(len(vert_p)-2): #단어 비교해서 같으면 누적 다르면 값 바꾸기 | ||
246 | - for j in range(i+1,len(vert_p)): | ||
247 | - if vert_p[i][0] == vert_p[j][0]: | ||
248 | - vert_p[i][1]+=vert_p[j][1] | ||
249 | - vert_p[j]=['0',0] | ||
250 | -print(vert_p) | ||
251 | -vert_p=[i for i in vert_p if not '0' in i] #'0'들어간 열 제거 | ||
252 | -df_ver= pd.DataFrame(vert_p) | ||
253 | -df_ver.to_excel(Stockfilename+' KNU_New_Vdic2.xlsx',sheet_name='sheet1') | ||
254 | - | ||
255 | -####키워드파일 월별로 돌려서 그 나온 결과 파일들을 합쳐서 Merge_dictionay.py에 넣어서 사전 만들기 #### | ||
256 | - | ||
257 | - |
knu/KnuSentiLex/KNU_edit.py
deleted
100644 → 0
1 | -# KNU 한국어 감성사전 | ||
2 | -# 작성자 : 온병원, 박상민, 나철원 | ||
3 | -# 소속 : 군산대학교 소프트웨어융합공학과 Data Intelligence Lab | ||
4 | -# 홈페이지 : dilab.kunsan.ac.kr | ||
5 | -# 작성일 : 2018.05.14 | ||
6 | -# 뜻풀이 데이터 출처 : https://github.com/mrchypark/stdkor | ||
7 | -# 신조어 데이터 출처 : https://ko.wikipedia.org/wiki/%EB%8C%80%ED%95%9C%EB%AF%BC%EA%B5%AD%EC%9D%98_%EC%9D%B8%ED%84%B0%EB%84%B7_%EC%8B%A0%EC%A1%B0%EC%96%B4_%EB%AA%A9%EB%A1%9D | ||
8 | -# 이모티콘 데이터 출처: https://ko.wikipedia.org/wiki/%EC%9D%B4%EB%AA%A8%ED%8B%B0%EC%BD%98 | ||
9 | -# SentiWordNet_3.0.0_20130122 데이터 출처 : http://sentiwordnet.isti.cnr.it/ | ||
10 | -# SenticNet-5.0 데이터 출처 : http://sentic.net/ | ||
11 | -# 감정단어사전0603 데이터 출처 : http://datascience.khu.ac.kr/board/bbs/board.php?bo_table=05_01&wr_id=91 | ||
12 | -# 김은영, “국어 감정동사 연구”, 2004.02, 학위논문(박사) - 전남대학교 국어국문학과 대학원 | ||
13 | - | ||
14 | -#-*-coding:utf-8-*- | ||
15 | -import collections | ||
16 | -import json | ||
17 | - | ||
18 | -import warnings | ||
19 | -warnings.simplefilter(("ignore")) | ||
20 | -import openpyxl | ||
21 | -import pandas as pd | ||
22 | -import re | ||
23 | -from datetime import datetime | ||
24 | - | ||
25 | -class KnuSL(): | ||
26 | - | ||
27 | - def data_list(wordname): | ||
28 | - with open('KnuSentiLex/data/SentiWord_info.json', encoding='utf-8-sig', mode='r') as f: | ||
29 | - data = json.load(f) | ||
30 | - result = [0,0] | ||
31 | - | ||
32 | - for i in range(0, len(data)): | ||
33 | - if data[i]['word'] == wordname: | ||
34 | - result.pop() | ||
35 | - result.pop() | ||
36 | - result.append(data[i]['word_root']) | ||
37 | - result.append(int(data[i]['polarity'])) | ||
38 | - | ||
39 | - r_word = result[0] #어근 | ||
40 | - s_word = result[1] #극성 | ||
41 | - | ||
42 | - return s_word | ||
43 | - | ||
44 | -if __name__ == "__main__": | ||
45 | - | ||
46 | - ksl = KnuSL | ||
47 | - | ||
48 | - print("\nKNU 한국어 감성사전입니다~ :)") | ||
49 | - print("사전에 단어가 없는 경우 결과가 None으로 나타납니다!!!") | ||
50 | - print("종료하시려면 #을 입력해주세요!!!") | ||
51 | - print("-2:매우 부정, -1:부정, 0:중립 or Unkwon, 1:긍정, 2:매우 긍정") | ||
52 | - print("\n") | ||
53 | -######### | ||
54 | -Newsfilefolder = input("종목폴더입력: ") | ||
55 | -Newsfilename=input("파일이름입력:") | ||
56 | -Newsfilepos = "C:/Users/yangj/PycharmProjects/pythonProject1/뉴스키워드/"+Newsfilefolder+"/" + Newsfilename + ".xlsx" | ||
57 | -Newsfile = openpyxl.load_workbook(Newsfilepos)#파일이름입력 | ||
58 | -ws=Newsfile.active | ||
59 | -data=[] | ||
60 | -date=[] | ||
61 | -i=0 | ||
62 | -for row in ws.rows: | ||
63 | - data.append([]) | ||
64 | - date.append(row[1].value) | ||
65 | - for cell in row: | ||
66 | - if cell.value != None: | ||
67 | - data[i].append(cell.value) | ||
68 | - i += 1 | ||
69 | -del data[0] #첫번째 의미없는 열 삭제 | ||
70 | -del date[0] | ||
71 | -for i in range(len(data)): | ||
72 | - del data[i][0] #각 열의 첫번째 행 삭제 | ||
73 | -for i in range(len(data)): | ||
74 | - del data[i][0] #각 열의 날짜 행 삭제 | ||
75 | - | ||
76 | -KNUdata=[] | ||
77 | -Tdata=[] | ||
78 | - | ||
79 | -for x in range(len(data)): | ||
80 | - KNUdata.append([]) | ||
81 | - Tdata.append([]) | ||
82 | - for y in range(len(data[x])): | ||
83 | - KNUdata[x].append(ksl.data_list(data[x][y])) | ||
84 | - Tdata[x].append([data[x][y], KNUdata[x][y]]) | ||
85 | - | ||
86 | -result = { '날짜':date, '단어, 극성':Tdata } | ||
87 | - | ||
88 | -df = pd.DataFrame(result) | ||
89 | -#print(df) | ||
90 | -list_df=df.values.tolist() #dataframe list로 변경 | ||
91 | -#print(list_df) | ||
92 | -#print(list_df[0][0]) 날짜 2021.01.01. | ||
93 | - | ||
94 | -new_date = [] # 날짜 중복 삭제 | ||
95 | -for v in date: | ||
96 | - if v not in new_date: | ||
97 | - new_date.append(v) | ||
98 | -#print(new_date) | ||
99 | - | ||
100 | -Setlist =[]# 날짜별 키워드 넣기 | ||
101 | -for v in range(len(new_date)): | ||
102 | - Setlist.append([]) | ||
103 | - Setlist[v].append(new_date[v]) | ||
104 | - for i in range(len(list_df)): | ||
105 | - for j in range(len(list_df[i][1])): | ||
106 | - if new_date[v] == list_df[i][0]: | ||
107 | - Setlist[v].append(list_df[i][1][j]) | ||
108 | -#print(Setlist) | ||
109 | -#print(Setlist[0][0]) #2021.01.01 | ||
110 | -#print(Setlist[0][1][1]) #극성 0 | ||
111 | -#print(type(Setlist[0][1][1])) #극성 모든 타입 int | ||
112 | - | ||
113 | -#print(list_df[0][1][0]) 키워드와 극성 ['HMM…"체질개선해', 'X'] | ||
114 | -#print(list_df[0][1][0][1]) 극성 x | ||
115 | -#print(list_df[0][0].split('.')[:3]) ['2021', '01', '01'] | ||
116 | -#df.to_excel(Newsfilename+' KNU.xlsx',sheet_name='sheet1') | ||
117 | - | ||
118 | -Stockfilefolder = input("종목시세폴더입력: ") | ||
119 | -Stockfilename=input("시세파일이름입력:") | ||
120 | -fileStock = "C:/Users/yangj/PycharmProjects/pythonProject1/종목별시세/"+Stockfilefolder+"/" + Stockfilename + ".xlsx" | ||
121 | -Stockfile = openpyxl.load_workbook(fileStock)#파일이름입력 | ||
122 | -stock_ws=Stockfile.active | ||
123 | -Stock_data=[] #list 타입 | ||
124 | -i=0 | ||
125 | -for row in stock_ws.rows: | ||
126 | - Stock_data.append([]) | ||
127 | - for cell in row: | ||
128 | - if cell.value != None: | ||
129 | - Stock_data[i].append(cell.value) | ||
130 | - i += 1 | ||
131 | -del Stock_data[0] | ||
132 | -for i in range(len(Stock_data)): | ||
133 | - del Stock_data[i][2] # 대비 삭제 | ||
134 | -for i in range(len(Stock_data)): | ||
135 | - del Stock_data[i][7] #거래대금 삭제 | ||
136 | -for i in range(len(Stock_data)): | ||
137 | - del Stock_data[i][7] #시가 총액 삭제 | ||
138 | -for i in range(len(Stock_data)): | ||
139 | - del Stock_data[i][7] #상장주식 수 삭제 / 결과:'일자', '종가', '등락률', '시가', '고가', '저가', '거래량' | ||
140 | -#print(Stock_data) | ||
141 | - | ||
142 | -def Calpercentage(a,b): #시초가 대비 고점/저점 비율 | ||
143 | - return abs(a-b)/a*100 | ||
144 | -####아래로 수정 필요 (미완성)#### | ||
145 | - | ||
146 | -i=0 | ||
147 | -for k in range(len(Setlist)): | ||
148 | - if( Stock_data[i][0].split('/') == Setlist[k][0].split('.')[:3]): # 날짜 비교 날짜가 같다면 | ||
149 | - if Calpercentage(Stock_data[i][3],Stock_data[i][4]) > 2 : #당일 시가 대비 고가가 2퍼 높을때 | ||
150 | - for j in range(1,len(Setlist[k])): | ||
151 | - if Setlist[k][j][1] == 0: | ||
152 | - Setlist[k][j][1] = 1 | ||
153 | - else: | ||
154 | - Setlist[0][j][1] += 1 | ||
155 | - elif Calpercentage(Stock_data[i][3],Stock_data[i][5]) < -2 : #당일 시가 대비 저가가 2퍼 낮을 때 | ||
156 | - for j in range(1,len(Setlist[k])): | ||
157 | - if Setlist[k][j][1] == 0: | ||
158 | - Setlist[k][j][1] = -1 | ||
159 | - else: | ||
160 | - Setlist[0][j][1] -= 1 | ||
161 | - else: | ||
162 | - if Stock_data[i+1][2] > 0: # 다음날 주가 등락률이 양수면 | ||
163 | - for j in range(1,len(Setlist[k])): #어제뉴스는 호재 취급 | ||
164 | - if Setlist[k][j][1] == 0: | ||
165 | - Setlist[k][j][1] = 1 | ||
166 | - else: | ||
167 | - Setlist[k][j][1] += 1 | ||
168 | - elif Stock_data[i+1][2] < 0: | ||
169 | - for j in range(1,len(Setlist[k])): # 음수면 어제 뉴스는 악재 취급 | ||
170 | - if Setlist[k][j][1] == 0: | ||
171 | - Setlist[k][j][1] = -1 | ||
172 | - else: | ||
173 | - Setlist[k][j][1] -= 1 | ||
174 | - i+=1 | ||
175 | - else: | ||
176 | - if Calpercentage(Stock_data[i][3], Stock_data[i][4]) > 2: # 당일 시가 대비 고가가 2퍼 높을때 | ||
177 | - for j in range(1, len(Setlist[k])): | ||
178 | - if Setlist[k][j][1] == 0: | ||
179 | - Setlist[k][j][1] = 1 | ||
180 | - else: | ||
181 | - Setlist[k][j][1] += 1 | ||
182 | - elif Calpercentage(Stock_data[i][3], Stock_data[i][5]) < -2: # 당일 시가 대비 저가가 2퍼 낮을 때 | ||
183 | - for j in range(1, len(Setlist[k])): | ||
184 | - if Setlist[k][j][1] == 0: | ||
185 | - Setlist[k][j][1] = -1 | ||
186 | - else: | ||
187 | - Setlist[k][j][1] -= 1 | ||
188 | - else: | ||
189 | - if Stock_data[i + 1][2] > 0: # 다음날 주가 등락률이 양수면 | ||
190 | - for j in range(1, len(Setlist[k])): # 어제뉴스는 호재 취급 | ||
191 | - if Setlist[k][j][1] == 0: | ||
192 | - Setlist[k][j][1] = 1 | ||
193 | - else: | ||
194 | - Setlist[k][j][1] += 1 | ||
195 | - elif Stock_data[i + 1][2] < 0: | ||
196 | - for j in range(1, len(Setlist[k])): # 음수면 어제 뉴스는 악재 취급 | ||
197 | - if Setlist[k][j][1] == 0: | ||
198 | - Setlist[k][j][1] = -1 | ||
199 | - else: | ||
200 | - Setlist[k][j][1] -= 1 | ||
201 | - i+=1 | ||
202 | - | ||
203 | -print(Setlist) | ||
204 | -''' | ||
205 | -Stock_dic=[] | ||
206 | - | ||
207 | -for i in range(len(Setlist)): | ||
208 | - Stock_dic.append([]) | ||
209 | - j = 2 | ||
210 | - for k in range(1,len(Setlist[i])-1): | ||
211 | - if Setlist[i][k][0]== Setlist[i][j][0]: | ||
212 | - Setlist[i][k][1]+=Setlist[i][j][1] | ||
213 | - Stock_dic.append(Setlist[i][k]) | ||
214 | - j+=1 | ||
215 | - else: | ||
216 | - Stock_dic.append(Setlist[i][k]) | ||
217 | - j+=1 | ||
218 | -print(Stock_dic) | ||
219 | -''' | ||
220 | - | ||
221 | -#df_Setlist = pd.DataFrame(Setlist) | ||
222 | -#df_Setlist.to_excel(Stockfilename+' KNU_New.xlsx',sheet_name='sheet1') | ||
223 | - | ||
224 | -Setlist_w = [] | ||
225 | -for i in range(len(Setlist)): | ||
226 | - Setlist_w.append([]) | ||
227 | - for j in range(1, len(Setlist[i])): | ||
228 | - Setlist_w[i].append(Setlist[i][j][0]) # 극성 제외 단어만 추출 | ||
229 | - | ||
230 | -counter = {} | ||
231 | -for i in range(len(Setlist_w)): | ||
232 | - counter[i] = collections.Counter(Setlist_w[i]) # 누적치 | ||
233 | - | ||
234 | -for i in range(len(Setlist_w)): | ||
235 | - Setlist_w[i] = list(zip(counter[i].keys(), counter[i].values())) # 튜플 리스트화 [(값, 값)] | ||
236 | - | ||
237 | -Plist = [] | ||
238 | -for i in range(len(Setlist_w)): | ||
239 | - Plist.append([]) | ||
240 | - for j in range(len(Setlist_w[i])): | ||
241 | - Plist[i].append(list(Setlist_w[i][j])) # 튜플 -> 리스트화 [[값, 값]] | ||
242 | - | ||
243 | -for i in range(len(Plist)): | ||
244 | - for j in range(len(Plist[i])): | ||
245 | - Plist[i][j][1] = 0 # 극성 0으로 초기화 | ||
246 | - | ||
247 | -for i in range(len(Setlist)): | ||
248 | - for j in range(1, len(Setlist[i])): | ||
249 | - for h in range(len(Plist[i])): | ||
250 | - if Setlist[i][j][0] == Plist[i][h][0]: | ||
251 | - Plist[i][h][1] += Setlist[i][j][1] #누적치 | ||
252 | -vert_p=[] #수직 중복 삭제 | ||
253 | -for i in range(len(Plist)): | ||
254 | - for j in range(len(Plist[i])): | ||
255 | - vert_p.append(Plist[i][j]) #단어만 넣기 | ||
256 | -#print(vert_p) | ||
257 | -vert_p.sort(key=lambda x:x[0]) #단어 기준으로 정렬 | ||
258 | -for i in range(len(vert_p)-2): #단어 비교해서 같으면 누적 다르면 값 바꾸기 | ||
259 | - for j in range(i+1,len(vert_p)): | ||
260 | - if vert_p[i][0] == vert_p[j][0]: | ||
261 | - vert_p[i][1]+=vert_p[j][1] | ||
262 | - vert_p[j]=['0',0] | ||
263 | -print(vert_p) | ||
264 | -vert_p=[i for i in vert_p if not '0' in i] #'0'들어간 열 제거 | ||
265 | -df_ver= pd.DataFrame(vert_p) | ||
266 | -df_ver.to_excel(Stockfilename+' KNU_New_vdic2.xlsx',sheet_name='sheet1') | ||
267 | - | ||
268 | -#p_result = {'날짜': new_date, '단어, 극성': Plist} | ||
269 | -#print(p_result) | ||
270 | -#df_p_result = pd.DataFrame(p_result) | ||
271 | -#df_p_result.to_excel(Stockfilename+' KNU_New_dic.xlsx',sheet_name='sheet1') | ||
272 | -''' | ||
273 | -for i in range(len(Stock_data)-1): | ||
274 | - for k in range(len(Setlist)): | ||
275 | - if (Stock_data[i][0].split('/') == Setlist[k][0].split('.')[:3]): # 날짜 비교 | ||
276 | - if Calpercentage(Stock_data[i][3], Stock_data[i][4]) > 2 : #당일 시가 대비 고가가 2퍼 높을때 | ||
277 | - for j in range(1, len(Setlist[k])): | ||
278 | - if Setlist[k][j][1] == 0: | ||
279 | - Setlist[k][j][1] = 1 | ||
280 | - else: | ||
281 | - Setlist[k][j][1] += 1 | ||
282 | - elif Calpercentage(Stock_data[i][3], Stock_data[i][5]) < -2 : #당일 시가 대비 저가가 2퍼 낮을 때 | ||
283 | - for j in range(1, len(Setlist[k])): | ||
284 | - if Setlist[k][j][1] == 0: | ||
285 | - Setlist[k][j][1] = -1 | ||
286 | - else: | ||
287 | - Setlist[k][j][1] -= 1 | ||
288 | - else: | ||
289 | - if Stock_data[i+1][2] > 0: # 다음날 주가 등락률이 양수면 | ||
290 | - for j in range(1, len(Setlist[k])): #어제뉴스는 호재 취급 | ||
291 | - if Calpercentage(Stock_data[i+1][3], Stock_data[i+1][5]) < -2 : | ||
292 | - for j in range(1, len(Setlist[k])): | ||
293 | - if Setlist[k][j][1] == 0: | ||
294 | - Setlist[k][j][1] = -1 | ||
295 | - else: | ||
296 | - Setlist[k][j][1] -= 1 | ||
297 | - else: | ||
298 | - if Setlist[k][j][1] == 0: | ||
299 | - Setlist[k][j][1] = 1 | ||
300 | - else: | ||
301 | - Setlist[k][j][1] += 1 | ||
302 | - elif Stock_data[i+1][2] < 0: | ||
303 | - if Calpercentage(Stock_data[i+1][3], Stock_data[i+1][4]) > 2 : | ||
304 | - for j in range(1, len(Setlist[k])): | ||
305 | - if Setlist[k][j][1] == 0: | ||
306 | - Setlist[k][j][1] = 1 | ||
307 | - else: | ||
308 | - Setlist[k][j][1] += 1 | ||
309 | - else: | ||
310 | - for j in range(1, len(Setlist[k])): # 음수면 어제 뉴스는 악재 취급 | ||
311 | - if Setlist[k][j][1] == 0: | ||
312 | - Setlist[k][j][1] = -1 | ||
313 | - else: | ||
314 | - Setlist[k][j][1] -= -1 | ||
315 | - else: | ||
316 | - | ||
317 | - | ||
318 | -print(Setlist) | ||
319 | - | ||
320 | -''' |
knu/KnuSentiLex/kospiCompare.py
deleted
100644 → 0
1 | -# -*-coding:utf-8-*- | ||
2 | -import collections | ||
3 | -import json | ||
4 | - | ||
5 | -import warnings | ||
6 | - | ||
7 | -warnings.simplefilter(("ignore")) | ||
8 | -import openpyxl | ||
9 | -import pandas as pd | ||
10 | -import re | ||
11 | -from datetime import datetime | ||
12 | - | ||
13 | -########코스피 감성 판단 | ||
14 | -class KnuSL(): | ||
15 | - | ||
16 | - def data_list(wordname): | ||
17 | - with open('KnuSentiLex/data/SentiWord_info.json', encoding='utf-8-sig', mode='r') as f: | ||
18 | - data = json.load(f) | ||
19 | - result = [0, 0] | ||
20 | - | ||
21 | - for i in range(0, len(data)): | ||
22 | - if data[i]['word'] == wordname: | ||
23 | - result.pop() | ||
24 | - result.pop() | ||
25 | - result.append(data[i]['word_root']) | ||
26 | - result.append(int(data[i]['polarity'])) | ||
27 | - | ||
28 | - r_word = result[0] # 어근 | ||
29 | - s_word = result[1] # 극성 | ||
30 | - | ||
31 | - return s_word | ||
32 | - | ||
33 | - | ||
34 | -if __name__ == "__main__": | ||
35 | - ksl = KnuSL | ||
36 | - | ||
37 | - print("\nKNU 한국어 감성사전입니다~ :)") | ||
38 | - print("사전에 단어가 없는 경우 결과가 None으로 나타납니다!!!") | ||
39 | - print("종료하시려면 #을 입력해주세요!!!") | ||
40 | - print("-2:매우 부정, -1:부정, 0:중립 or Unkwon, 1:긍정, 2:매우 긍정") | ||
41 | - print("\n") | ||
42 | -######### | ||
43 | -Newsfilefolder = input("종목폴더입력: ") | ||
44 | -Newsfilename = input("파일이름입력:") | ||
45 | -Newsfilepos = "C:/Users/yangj/PycharmProjects/pythonProject1/뉴스키워드/" + Newsfilefolder + "/" + Newsfilename + ".xlsx" | ||
46 | -Newsfile = openpyxl.load_workbook(Newsfilepos) # 파일이름입력 | ||
47 | -ws = Newsfile.active | ||
48 | -data = [] | ||
49 | -date = [] | ||
50 | -i = 0 | ||
51 | -for row in ws.rows: | ||
52 | - data.append([]) | ||
53 | - date.append(row[1].value) | ||
54 | - for cell in row: | ||
55 | - if cell.value != None: | ||
56 | - data[i].append(cell.value) | ||
57 | - i += 1 | ||
58 | -del data[0] # 첫번째 의미없는 열 삭제 | ||
59 | -del date[0] | ||
60 | -for i in range(len(data)): | ||
61 | - del data[i][0] # 각 열의 첫번째 행 삭제 | ||
62 | -for i in range(len(data)): | ||
63 | - del data[i][0] # 각 열의 날짜 행 삭제 | ||
64 | - | ||
65 | -KNUdata = [] | ||
66 | -Tdata = [] | ||
67 | - | ||
68 | -for x in range(len(data)): | ||
69 | - KNUdata.append([]) | ||
70 | - Tdata.append([]) | ||
71 | - for y in range(len(data[x])): | ||
72 | - KNUdata[x].append(ksl.data_list(data[x][y])) | ||
73 | - Tdata[x].append([data[x][y], KNUdata[x][y]]) | ||
74 | - | ||
75 | -result = {'날짜': date, '단어, 극성': Tdata} | ||
76 | - | ||
77 | -df = pd.DataFrame(result) | ||
78 | - | ||
79 | -list_df = df.values.tolist() # dataframe list로 변경 | ||
80 | -new_date = [] # 날짜 중복 삭제 | ||
81 | -for v in date: | ||
82 | - if v not in new_date: | ||
83 | - new_date.append(v) | ||
84 | -# print(new_date) | ||
85 | - | ||
86 | -Setlist = [] # 날짜별 키워드 넣기 | ||
87 | -for v in range(len(new_date)): | ||
88 | - Setlist.append([]) | ||
89 | - Setlist[v].append(new_date[v]) | ||
90 | - for i in range(len(list_df)): | ||
91 | - for j in range(len(list_df[i][1])): | ||
92 | - if new_date[v] == list_df[i][0]: | ||
93 | - Setlist[v].append(list_df[i][1][j]) | ||
94 | - | ||
95 | -Stockfilefolder = input("종목시세폴더입력: ") | ||
96 | -Stockfilename = input("시세파일이름입력:") | ||
97 | -fileStock = "C:/Users/yangj/PycharmProjects/pythonProject1/종목별시세/" + Stockfilefolder + "/" + Stockfilename + ".xlsx" | ||
98 | -Stockfile = openpyxl.load_workbook(fileStock) # 파일이름입력 | ||
99 | -stock_ws = Stockfile.active | ||
100 | -Stock_data = [] # list 타입 | ||
101 | -i = 0 | ||
102 | -for row in stock_ws.rows: | ||
103 | - Stock_data.append([]) | ||
104 | - for cell in row: | ||
105 | - if cell.value != None: | ||
106 | - Stock_data[i].append(cell.value) | ||
107 | - i += 1 | ||
108 | -del Stock_data[0] | ||
109 | -for i in range(len(Stock_data)): | ||
110 | - del Stock_data[i][2] # 대비 삭제 | ||
111 | -for i in range(len(Stock_data)): | ||
112 | - del Stock_data[i][7] # 거래대금 삭제 | ||
113 | -for i in range(len(Stock_data)): | ||
114 | - del Stock_data[i][7] # 시가 총액 삭제 | ||
115 | - | ||
116 | - | ||
117 | -i = 0 | ||
118 | -for k in range(len(Setlist)): | ||
119 | - if (Stock_data[i][0].split('/') == Setlist[k][0].split('.')[:3]): # 날짜 비교 날짜가 같다면 | ||
120 | - if Stock_data[i][2] > 0: # 코스피 등락이 양수 | ||
121 | - for j in range(1, len(Setlist[k])): | ||
122 | - if Setlist[k][j][1] == 0: | ||
123 | - Setlist[k][j][1] = 1 | ||
124 | - else: | ||
125 | - Setlist[k][j][1] += 1 | ||
126 | - elif Stock_data[i][2] < 0: | ||
127 | - for j in range(1, len(Setlist[k])): # 음수면 어제 뉴스는 악재 취급 | ||
128 | - if Setlist[k][j][1] == 0: | ||
129 | - Setlist[k][j][1] = -1 | ||
130 | - else: | ||
131 | - Setlist[k][j][1] -= 1 | ||
132 | - i += 1 | ||
133 | - else: | ||
134 | - if Stock_data[i+1][2] > 0: # 다음날 주가 등락률이 양수면 | ||
135 | - for j in range(1, len(Setlist[k])): # 어제뉴스는 호재 취급 | ||
136 | - if Setlist[k][j][1] == 0: | ||
137 | - Setlist[k][j][1] = 1 | ||
138 | - else: | ||
139 | - Setlist[k][j][1] += 1 | ||
140 | - elif Stock_data[i+1][2] < 0: | ||
141 | - for j in range(1, len(Setlist[k])): # 음수면 어제 뉴스는 악재 취급 | ||
142 | - if Setlist[k][j][1] == 0: | ||
143 | - Setlist[k][j][1] = -1 | ||
144 | - else: | ||
145 | - Setlist[k][j][1] -= 1 | ||
146 | - | ||
147 | -Setlist_w = [] | ||
148 | -for i in range(len(Setlist)): | ||
149 | - Setlist_w.append([]) | ||
150 | - for j in range(1, len(Setlist[i])): | ||
151 | - Setlist_w[i].append(Setlist[i][j][0]) # 극성 제외 단어만 추출 | ||
152 | - | ||
153 | -counter = {} | ||
154 | -for i in range(len(Setlist_w)): | ||
155 | - counter[i] = collections.Counter(Setlist_w[i]) # 누적치 | ||
156 | - | ||
157 | -for i in range(len(Setlist_w)): | ||
158 | - Setlist_w[i] = list(zip(counter[i].keys(), counter[i].values())) # 튜플 리스트화 [(값, 값)] | ||
159 | - | ||
160 | -Plist = [] | ||
161 | -for i in range(len(Setlist_w)): | ||
162 | - Plist.append([]) | ||
163 | - for j in range(len(Setlist_w[i])): | ||
164 | - Plist[i].append(list(Setlist_w[i][j])) # 튜플 -> 리스트화 [[값, 값]] | ||
165 | - | ||
166 | -for i in range(len(Plist)): | ||
167 | - for j in range(len(Plist[i])): | ||
168 | - Plist[i][j][1] = 0 # 극성 0으로 초기화 | ||
169 | - | ||
170 | -for i in range(len(Setlist)): | ||
171 | - for j in range(1, len(Setlist[i])): | ||
172 | - for h in range(len(Plist[i])): | ||
173 | - if Setlist[i][j][0] == Plist[i][h][0]: | ||
174 | - Plist[i][h][1] += Setlist[i][j][1] # 누적치 | ||
175 | -vert_p = [] # 수직 중복 삭제 | ||
176 | -for i in range(len(Plist)): | ||
177 | - for j in range(len(Plist[i])): | ||
178 | - vert_p.append(Plist[i][j]) # 단어만 넣기 | ||
179 | -# print(vert_p) | ||
180 | -vert_p.sort(key=lambda x: x[0]) # 단어 기준으로 정렬 | ||
181 | -for i in range(len(vert_p) - 2): # 단어 비교해서 같으면 누적 다르면 값 바꾸기 | ||
182 | - for j in range(i + 1, len(vert_p)): | ||
183 | - if vert_p[i][0] == vert_p[j][0]: | ||
184 | - vert_p[i][1] += vert_p[j][1] | ||
185 | - vert_p[j] = ['0', 0] | ||
186 | - | ||
187 | -vert_p = [i for i in vert_p if not '0' in i] # '0'들어간 열 제거 | ||
188 | -df_ver = pd.DataFrame(vert_p) | ||
189 | -df_ver.to_excel(Stockfilename + ' KNU_New_vdic2.xlsx', sheet_name='sheet1') |
No preview for this file type
venv/Lib/site-packages/MeCab.py
deleted
100644 → 0
1 | -# This file was automatically generated by SWIG (http://www.swig.org). | ||
2 | -# Version 3.0.0 | ||
3 | -# | ||
4 | -# Do not make changes to this file unless you know what you are doing--modify | ||
5 | -# the SWIG interface file instead. | ||
6 | - | ||
7 | - | ||
8 | - | ||
9 | - | ||
10 | - | ||
11 | -from sys import version_info | ||
12 | -if version_info >= (2,6,0): | ||
13 | - def swig_import_helper(): | ||
14 | - from os.path import dirname | ||
15 | - import imp | ||
16 | - fp = None | ||
17 | - try: | ||
18 | - fp, pathname, description = imp.find_module('_MeCab', [dirname(__file__)]) | ||
19 | - except ImportError: | ||
20 | - import _MeCab | ||
21 | - return _MeCab | ||
22 | - if fp is not None: | ||
23 | - try: | ||
24 | - _mod = imp.load_module('_MeCab', fp, pathname, description) | ||
25 | - finally: | ||
26 | - fp.close() | ||
27 | - return _mod | ||
28 | - _MeCab = swig_import_helper() | ||
29 | - del swig_import_helper | ||
30 | -else: | ||
31 | - import _MeCab | ||
32 | -del version_info | ||
33 | -try: | ||
34 | - _swig_property = property | ||
35 | -except NameError: | ||
36 | - pass # Python < 2.2 doesn't have 'property'. | ||
37 | -def _swig_setattr_nondynamic(self,class_type,name,value,static=1): | ||
38 | - if (name == "thisown"): return self.this.own(value) | ||
39 | - if (name == "this"): | ||
40 | - if type(value).__name__ == 'SwigPyObject': | ||
41 | - self.__dict__[name] = value | ||
42 | - return | ||
43 | - method = class_type.__swig_setmethods__.get(name,None) | ||
44 | - if method: return method(self,value) | ||
45 | - if (not static): | ||
46 | - self.__dict__[name] = value | ||
47 | - else: | ||
48 | - raise AttributeError("You cannot add attributes to %s" % self) | ||
49 | - | ||
50 | -def _swig_setattr(self,class_type,name,value): | ||
51 | - return _swig_setattr_nondynamic(self,class_type,name,value,0) | ||
52 | - | ||
53 | -def _swig_getattr(self,class_type,name): | ||
54 | - if (name == "thisown"): return self.this.own() | ||
55 | - method = class_type.__swig_getmethods__.get(name,None) | ||
56 | - if method: return method(self) | ||
57 | - raise AttributeError(name) | ||
58 | - | ||
59 | -def _swig_repr(self): | ||
60 | - try: strthis = "proxy of " + self.this.__repr__() | ||
61 | - except: strthis = "" | ||
62 | - return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,) | ||
63 | - | ||
64 | -try: | ||
65 | - _object = object | ||
66 | - _newclass = 1 | ||
67 | -except AttributeError: | ||
68 | - class _object : pass | ||
69 | - _newclass = 0 | ||
70 | - | ||
71 | - | ||
72 | -class DictionaryInfo(_object): | ||
73 | - __swig_setmethods__ = {} | ||
74 | - __setattr__ = lambda self, name, value: _swig_setattr(self, DictionaryInfo, name, value) | ||
75 | - __swig_getmethods__ = {} | ||
76 | - __getattr__ = lambda self, name: _swig_getattr(self, DictionaryInfo, name) | ||
77 | - __repr__ = _swig_repr | ||
78 | - __swig_getmethods__["filename"] = _MeCab.DictionaryInfo_filename_get | ||
79 | - if _newclass:filename = _swig_property(_MeCab.DictionaryInfo_filename_get) | ||
80 | - __swig_getmethods__["charset"] = _MeCab.DictionaryInfo_charset_get | ||
81 | - if _newclass:charset = _swig_property(_MeCab.DictionaryInfo_charset_get) | ||
82 | - __swig_getmethods__["size"] = _MeCab.DictionaryInfo_size_get | ||
83 | - if _newclass:size = _swig_property(_MeCab.DictionaryInfo_size_get) | ||
84 | - __swig_getmethods__["type"] = _MeCab.DictionaryInfo_type_get | ||
85 | - if _newclass:type = _swig_property(_MeCab.DictionaryInfo_type_get) | ||
86 | - __swig_getmethods__["lsize"] = _MeCab.DictionaryInfo_lsize_get | ||
87 | - if _newclass:lsize = _swig_property(_MeCab.DictionaryInfo_lsize_get) | ||
88 | - __swig_getmethods__["rsize"] = _MeCab.DictionaryInfo_rsize_get | ||
89 | - if _newclass:rsize = _swig_property(_MeCab.DictionaryInfo_rsize_get) | ||
90 | - __swig_getmethods__["version"] = _MeCab.DictionaryInfo_version_get | ||
91 | - if _newclass:version = _swig_property(_MeCab.DictionaryInfo_version_get) | ||
92 | - __swig_getmethods__["next"] = _MeCab.DictionaryInfo_next_get | ||
93 | - if _newclass:next = _swig_property(_MeCab.DictionaryInfo_next_get) | ||
94 | - def __init__(self): | ||
95 | - this = _MeCab.new_DictionaryInfo() | ||
96 | - try: self.this.append(this) | ||
97 | - except: self.this = this | ||
98 | - __swig_destroy__ = _MeCab.delete_DictionaryInfo | ||
99 | - __del__ = lambda self : None; | ||
100 | -DictionaryInfo_swigregister = _MeCab.DictionaryInfo_swigregister | ||
101 | -DictionaryInfo_swigregister(DictionaryInfo) | ||
102 | - | ||
103 | -class Path(_object): | ||
104 | - __swig_setmethods__ = {} | ||
105 | - __setattr__ = lambda self, name, value: _swig_setattr(self, Path, name, value) | ||
106 | - __swig_getmethods__ = {} | ||
107 | - __getattr__ = lambda self, name: _swig_getattr(self, Path, name) | ||
108 | - def __init__(self, *args, **kwargs): raise AttributeError("No constructor defined") | ||
109 | - __repr__ = _swig_repr | ||
110 | - __swig_getmethods__["rnode"] = _MeCab.Path_rnode_get | ||
111 | - if _newclass:rnode = _swig_property(_MeCab.Path_rnode_get) | ||
112 | - __swig_getmethods__["rnext"] = _MeCab.Path_rnext_get | ||
113 | - if _newclass:rnext = _swig_property(_MeCab.Path_rnext_get) | ||
114 | - __swig_getmethods__["lnode"] = _MeCab.Path_lnode_get | ||
115 | - if _newclass:lnode = _swig_property(_MeCab.Path_lnode_get) | ||
116 | - __swig_getmethods__["lnext"] = _MeCab.Path_lnext_get | ||
117 | - if _newclass:lnext = _swig_property(_MeCab.Path_lnext_get) | ||
118 | - __swig_getmethods__["cost"] = _MeCab.Path_cost_get | ||
119 | - if _newclass:cost = _swig_property(_MeCab.Path_cost_get) | ||
120 | - __swig_setmethods__["prob"] = _MeCab.Path_prob_set | ||
121 | - __swig_getmethods__["prob"] = _MeCab.Path_prob_get | ||
122 | - if _newclass:prob = _swig_property(_MeCab.Path_prob_get, _MeCab.Path_prob_set) | ||
123 | -Path_swigregister = _MeCab.Path_swigregister | ||
124 | -Path_swigregister(Path) | ||
125 | - | ||
126 | -class Node(_object): | ||
127 | - __swig_setmethods__ = {} | ||
128 | - __setattr__ = lambda self, name, value: _swig_setattr(self, Node, name, value) | ||
129 | - __swig_getmethods__ = {} | ||
130 | - __getattr__ = lambda self, name: _swig_getattr(self, Node, name) | ||
131 | - def __init__(self, *args, **kwargs): raise AttributeError("No constructor defined") | ||
132 | - __repr__ = _swig_repr | ||
133 | - __swig_getmethods__["prev"] = _MeCab.Node_prev_get | ||
134 | - if _newclass:prev = _swig_property(_MeCab.Node_prev_get) | ||
135 | - __swig_getmethods__["next"] = _MeCab.Node_next_get | ||
136 | - if _newclass:next = _swig_property(_MeCab.Node_next_get) | ||
137 | - __swig_getmethods__["enext"] = _MeCab.Node_enext_get | ||
138 | - if _newclass:enext = _swig_property(_MeCab.Node_enext_get) | ||
139 | - __swig_getmethods__["bnext"] = _MeCab.Node_bnext_get | ||
140 | - if _newclass:bnext = _swig_property(_MeCab.Node_bnext_get) | ||
141 | - __swig_getmethods__["rpath"] = _MeCab.Node_rpath_get | ||
142 | - if _newclass:rpath = _swig_property(_MeCab.Node_rpath_get) | ||
143 | - __swig_getmethods__["lpath"] = _MeCab.Node_lpath_get | ||
144 | - if _newclass:lpath = _swig_property(_MeCab.Node_lpath_get) | ||
145 | - __swig_getmethods__["feature"] = _MeCab.Node_feature_get | ||
146 | - if _newclass:feature = _swig_property(_MeCab.Node_feature_get) | ||
147 | - __swig_getmethods__["id"] = _MeCab.Node_id_get | ||
148 | - if _newclass:id = _swig_property(_MeCab.Node_id_get) | ||
149 | - __swig_getmethods__["length"] = _MeCab.Node_length_get | ||
150 | - if _newclass:length = _swig_property(_MeCab.Node_length_get) | ||
151 | - __swig_getmethods__["rlength"] = _MeCab.Node_rlength_get | ||
152 | - if _newclass:rlength = _swig_property(_MeCab.Node_rlength_get) | ||
153 | - __swig_getmethods__["rcAttr"] = _MeCab.Node_rcAttr_get | ||
154 | - if _newclass:rcAttr = _swig_property(_MeCab.Node_rcAttr_get) | ||
155 | - __swig_getmethods__["lcAttr"] = _MeCab.Node_lcAttr_get | ||
156 | - if _newclass:lcAttr = _swig_property(_MeCab.Node_lcAttr_get) | ||
157 | - __swig_getmethods__["posid"] = _MeCab.Node_posid_get | ||
158 | - if _newclass:posid = _swig_property(_MeCab.Node_posid_get) | ||
159 | - __swig_getmethods__["char_type"] = _MeCab.Node_char_type_get | ||
160 | - if _newclass:char_type = _swig_property(_MeCab.Node_char_type_get) | ||
161 | - __swig_getmethods__["stat"] = _MeCab.Node_stat_get | ||
162 | - if _newclass:stat = _swig_property(_MeCab.Node_stat_get) | ||
163 | - __swig_getmethods__["isbest"] = _MeCab.Node_isbest_get | ||
164 | - if _newclass:isbest = _swig_property(_MeCab.Node_isbest_get) | ||
165 | - __swig_getmethods__["alpha"] = _MeCab.Node_alpha_get | ||
166 | - if _newclass:alpha = _swig_property(_MeCab.Node_alpha_get) | ||
167 | - __swig_getmethods__["beta"] = _MeCab.Node_beta_get | ||
168 | - if _newclass:beta = _swig_property(_MeCab.Node_beta_get) | ||
169 | - __swig_setmethods__["prob"] = _MeCab.Node_prob_set | ||
170 | - __swig_getmethods__["prob"] = _MeCab.Node_prob_get | ||
171 | - if _newclass:prob = _swig_property(_MeCab.Node_prob_get, _MeCab.Node_prob_set) | ||
172 | - __swig_getmethods__["wcost"] = _MeCab.Node_wcost_get | ||
173 | - if _newclass:wcost = _swig_property(_MeCab.Node_wcost_get) | ||
174 | - __swig_getmethods__["cost"] = _MeCab.Node_cost_get | ||
175 | - if _newclass:cost = _swig_property(_MeCab.Node_cost_get) | ||
176 | - __swig_getmethods__["surface"] = _MeCab.Node_surface_get | ||
177 | - if _newclass:surface = _swig_property(_MeCab.Node_surface_get) | ||
178 | -Node_swigregister = _MeCab.Node_swigregister | ||
179 | -Node_swigregister(Node) | ||
180 | - | ||
181 | -MECAB_NOR_NODE = _MeCab.MECAB_NOR_NODE | ||
182 | -MECAB_UNK_NODE = _MeCab.MECAB_UNK_NODE | ||
183 | -MECAB_BOS_NODE = _MeCab.MECAB_BOS_NODE | ||
184 | -MECAB_EOS_NODE = _MeCab.MECAB_EOS_NODE | ||
185 | -MECAB_EON_NODE = _MeCab.MECAB_EON_NODE | ||
186 | -MECAB_SYS_DIC = _MeCab.MECAB_SYS_DIC | ||
187 | -MECAB_USR_DIC = _MeCab.MECAB_USR_DIC | ||
188 | -MECAB_UNK_DIC = _MeCab.MECAB_UNK_DIC | ||
189 | -MECAB_ONE_BEST = _MeCab.MECAB_ONE_BEST | ||
190 | -MECAB_NBEST = _MeCab.MECAB_NBEST | ||
191 | -MECAB_PARTIAL = _MeCab.MECAB_PARTIAL | ||
192 | -MECAB_MARGINAL_PROB = _MeCab.MECAB_MARGINAL_PROB | ||
193 | -MECAB_ALTERNATIVE = _MeCab.MECAB_ALTERNATIVE | ||
194 | -MECAB_ALL_MORPHS = _MeCab.MECAB_ALL_MORPHS | ||
195 | -MECAB_ALLOCATE_SENTENCE = _MeCab.MECAB_ALLOCATE_SENTENCE | ||
196 | -MECAB_ANY_BOUNDARY = _MeCab.MECAB_ANY_BOUNDARY | ||
197 | -MECAB_TOKEN_BOUNDARY = _MeCab.MECAB_TOKEN_BOUNDARY | ||
198 | -MECAB_INSIDE_TOKEN = _MeCab.MECAB_INSIDE_TOKEN | ||
199 | -class Lattice(_object): | ||
200 | - __swig_setmethods__ = {} | ||
201 | - __setattr__ = lambda self, name, value: _swig_setattr(self, Lattice, name, value) | ||
202 | - __swig_getmethods__ = {} | ||
203 | - __getattr__ = lambda self, name: _swig_getattr(self, Lattice, name) | ||
204 | - __repr__ = _swig_repr | ||
205 | - def clear(self): return _MeCab.Lattice_clear(self) | ||
206 | - def is_available(self): return _MeCab.Lattice_is_available(self) | ||
207 | - def bos_node(self): return _MeCab.Lattice_bos_node(self) | ||
208 | - def eos_node(self): return _MeCab.Lattice_eos_node(self) | ||
209 | - def end_nodes(self, *args): return _MeCab.Lattice_end_nodes(self, *args) | ||
210 | - def begin_nodes(self, *args): return _MeCab.Lattice_begin_nodes(self, *args) | ||
211 | - def sentence(self): return _MeCab.Lattice_sentence(self) | ||
212 | - def size(self): return _MeCab.Lattice_size(self) | ||
213 | - def set_Z(self, *args): return _MeCab.Lattice_set_Z(self, *args) | ||
214 | - def Z(self): return _MeCab.Lattice_Z(self) | ||
215 | - def set_theta(self, *args): return _MeCab.Lattice_set_theta(self, *args) | ||
216 | - def theta(self): return _MeCab.Lattice_theta(self) | ||
217 | - def next(self): return _MeCab.Lattice_next(self) | ||
218 | - def request_type(self): return _MeCab.Lattice_request_type(self) | ||
219 | - def has_request_type(self, *args): return _MeCab.Lattice_has_request_type(self, *args) | ||
220 | - def set_request_type(self, *args): return _MeCab.Lattice_set_request_type(self, *args) | ||
221 | - def add_request_type(self, *args): return _MeCab.Lattice_add_request_type(self, *args) | ||
222 | - def remove_request_type(self, *args): return _MeCab.Lattice_remove_request_type(self, *args) | ||
223 | - def newNode(self): return _MeCab.Lattice_newNode(self) | ||
224 | - def toString(self, *args): return _MeCab.Lattice_toString(self, *args) | ||
225 | - def enumNBestAsString(self, *args): return _MeCab.Lattice_enumNBestAsString(self, *args) | ||
226 | - def has_constraint(self): return _MeCab.Lattice_has_constraint(self) | ||
227 | - def boundary_constraint(self, *args): return _MeCab.Lattice_boundary_constraint(self, *args) | ||
228 | - def feature_constraint(self, *args): return _MeCab.Lattice_feature_constraint(self, *args) | ||
229 | - def set_boundary_constraint(self, *args): return _MeCab.Lattice_set_boundary_constraint(self, *args) | ||
230 | - def set_feature_constraint(self, *args): return _MeCab.Lattice_set_feature_constraint(self, *args) | ||
231 | - def set_result(self, *args): return _MeCab.Lattice_set_result(self, *args) | ||
232 | - def what(self): return _MeCab.Lattice_what(self) | ||
233 | - def set_what(self, *args): return _MeCab.Lattice_set_what(self, *args) | ||
234 | - __swig_destroy__ = _MeCab.delete_Lattice | ||
235 | - __del__ = lambda self : None; | ||
236 | - def __init__(self): | ||
237 | - this = _MeCab.new_Lattice() | ||
238 | - try: self.this.append(this) | ||
239 | - except: self.this = this | ||
240 | - def set_sentence(self, *args): return _MeCab.Lattice_set_sentence(self, *args) | ||
241 | -Lattice_swigregister = _MeCab.Lattice_swigregister | ||
242 | -Lattice_swigregister(Lattice) | ||
243 | - | ||
244 | -class Model(_object): | ||
245 | - __swig_setmethods__ = {} | ||
246 | - __setattr__ = lambda self, name, value: _swig_setattr(self, Model, name, value) | ||
247 | - __swig_getmethods__ = {} | ||
248 | - __getattr__ = lambda self, name: _swig_getattr(self, Model, name) | ||
249 | - __repr__ = _swig_repr | ||
250 | - def dictionary_info(self): return _MeCab.Model_dictionary_info(self) | ||
251 | - def transition_cost(self, *args): return _MeCab.Model_transition_cost(self, *args) | ||
252 | - def lookup(self, *args): return _MeCab.Model_lookup(self, *args) | ||
253 | - def createTagger(self): return _MeCab.Model_createTagger(self) | ||
254 | - def createLattice(self): return _MeCab.Model_createLattice(self) | ||
255 | - def swap(self, *args): return _MeCab.Model_swap(self, *args) | ||
256 | - __swig_getmethods__["version"] = lambda x: _MeCab.Model_version | ||
257 | - if _newclass:version = staticmethod(_MeCab.Model_version) | ||
258 | - __swig_destroy__ = _MeCab.delete_Model | ||
259 | - __del__ = lambda self : None; | ||
260 | - __swig_getmethods__["create"] = lambda x: _MeCab.Model_create | ||
261 | - if _newclass:create = staticmethod(_MeCab.Model_create) | ||
262 | - def __init__(self, *args): | ||
263 | - this = _MeCab.new_Model(*args) | ||
264 | - try: self.this.append(this) | ||
265 | - except: self.this = this | ||
266 | -Model_swigregister = _MeCab.Model_swigregister | ||
267 | -Model_swigregister(Model) | ||
268 | - | ||
269 | -def Model_version(): | ||
270 | - return _MeCab.Model_version() | ||
271 | -Model_version = _MeCab.Model_version | ||
272 | - | ||
273 | -def Model_create(*args): | ||
274 | - return _MeCab.Model_create(*args) | ||
275 | -Model_create = _MeCab.Model_create | ||
276 | - | ||
277 | -class Tagger(_object): | ||
278 | - __swig_setmethods__ = {} | ||
279 | - __setattr__ = lambda self, name, value: _swig_setattr(self, Tagger, name, value) | ||
280 | - __swig_getmethods__ = {} | ||
281 | - __getattr__ = lambda self, name: _swig_getattr(self, Tagger, name) | ||
282 | - __repr__ = _swig_repr | ||
283 | - def parse(self, *args): return _MeCab.Tagger_parse(self, *args) | ||
284 | - def parseToNode(self, *args): return _MeCab.Tagger_parseToNode(self, *args) | ||
285 | - def parseNBest(self, *args): return _MeCab.Tagger_parseNBest(self, *args) | ||
286 | - def parseNBestInit(self, *args): return _MeCab.Tagger_parseNBestInit(self, *args) | ||
287 | - def nextNode(self): return _MeCab.Tagger_nextNode(self) | ||
288 | - def next(self): return _MeCab.Tagger_next(self) | ||
289 | - def formatNode(self, *args): return _MeCab.Tagger_formatNode(self, *args) | ||
290 | - def set_request_type(self, *args): return _MeCab.Tagger_set_request_type(self, *args) | ||
291 | - def request_type(self): return _MeCab.Tagger_request_type(self) | ||
292 | - def partial(self): return _MeCab.Tagger_partial(self) | ||
293 | - def set_partial(self, *args): return _MeCab.Tagger_set_partial(self, *args) | ||
294 | - def lattice_level(self): return _MeCab.Tagger_lattice_level(self) | ||
295 | - def set_lattice_level(self, *args): return _MeCab.Tagger_set_lattice_level(self, *args) | ||
296 | - def all_morphs(self): return _MeCab.Tagger_all_morphs(self) | ||
297 | - def set_all_morphs(self, *args): return _MeCab.Tagger_set_all_morphs(self, *args) | ||
298 | - def set_theta(self, *args): return _MeCab.Tagger_set_theta(self, *args) | ||
299 | - def theta(self): return _MeCab.Tagger_theta(self) | ||
300 | - def dictionary_info(self): return _MeCab.Tagger_dictionary_info(self) | ||
301 | - def what(self): return _MeCab.Tagger_what(self) | ||
302 | - __swig_destroy__ = _MeCab.delete_Tagger | ||
303 | - __del__ = lambda self : None; | ||
304 | - __swig_getmethods__["create"] = lambda x: _MeCab.Tagger_create | ||
305 | - if _newclass:create = staticmethod(_MeCab.Tagger_create) | ||
306 | - __swig_getmethods__["version"] = lambda x: _MeCab.Tagger_version | ||
307 | - if _newclass:version = staticmethod(_MeCab.Tagger_version) | ||
308 | - def __init__(self, *args): | ||
309 | - this = _MeCab.new_Tagger(*args) | ||
310 | - try: self.this.append(this) | ||
311 | - except: self.this = this | ||
312 | - def parseToString(self, *args): return _MeCab.Tagger_parseToString(self, *args) | ||
313 | -Tagger_swigregister = _MeCab.Tagger_swigregister | ||
314 | -Tagger_swigregister(Tagger) | ||
315 | - | ||
316 | -def Tagger_create(*args): | ||
317 | - return _MeCab.Tagger_create(*args) | ||
318 | -Tagger_create = _MeCab.Tagger_create | ||
319 | - | ||
320 | -def Tagger_version(): | ||
321 | - return _MeCab.Tagger_version() | ||
322 | -Tagger_version = _MeCab.Tagger_version | ||
323 | - | ||
324 | -VERSION = _MeCab.VERSION | ||
325 | -# This file is compatible with both classic and new-style classes. | ||
326 | - | ||
327 | - |
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venv/Lib/site-packages/libmecab.dll
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1 | -pip |
1 | -MeCab.py,sha256=cuvFTwJk_Z38aY54gIKoBtR46p6tPXOVSKkpoA1PcY4,15733 | ||
2 | -_MeCab.cp37-win_amd64.pyd,sha256=u-WVy7oAK9dySDKhPh_DNHIWW4x6yHSwu6hjMKqdz5E,116736 | ||
3 | -__pycache__/MeCab.cpython-37.pyc,, | ||
4 | -libmecab.dll,sha256=lRhwboyrXWEXXnDn8soNA05id3UvWfPpP7bvTXj5iH4,1908736 | ||
5 | -mecab_python-0.996_ko_0.9.2_msvc.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4 | ||
6 | -mecab_python-0.996_ko_0.9.2_msvc.dist-info/METADATA,sha256=Qw4D_1k4TCzF1Ul5k47s6hOnafUJSLyiiGhqffEnszs,190 | ||
7 | -mecab_python-0.996_ko_0.9.2_msvc.dist-info/RECORD,, | ||
8 | -mecab_python-0.996_ko_0.9.2_msvc.dist-info/REQUESTED,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 | ||
9 | -mecab_python-0.996_ko_0.9.2_msvc.dist-info/WHEEL,sha256=jmFYSwR2oi5DgMGgmnuB-EJxqLMkUojGGdmJ0wz35aI,106 | ||
10 | -mecab_python-0.996_ko_0.9.2_msvc.dist-info/direct_url.json,sha256=8Wv8YjFpjisUlH--mXnzxpj5B8uexD6AtZjonw2yk5k,142 | ||
11 | -mecab_python-0.996_ko_0.9.2_msvc.dist-info/top_level.txt,sha256=E6HHbCcV114TjQmzLJGG5aSu2Sb0tjGGxkjler1jxrQ,13 |
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1 | -{"archive_info": {}, "url": "file:///C:/Users/yangj/PycharmProjects/pythonProject1/mecab_python-0.996_ko_0.9.2_msvc-cp37-cp37m-win_amd64.whl"} | ||
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