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... | @@ -5,7 +5,6 @@ from konlpy.tag import * | ... | @@ -5,7 +5,6 @@ from konlpy.tag import * |
5 | import openpyxl | 5 | import openpyxl |
6 | import pandas as pd | 6 | import pandas as pd |
7 | from math import log10 | 7 | from math import log10 |
8 | -from operator import itemgetter | ||
9 | import numpy as np | 8 | import numpy as np |
10 | 9 | ||
11 | #형태소분석라이브러리 | 10 | #형태소분석라이브러리 |
... | @@ -82,7 +81,14 @@ print(TfIf)#TFIF는 (단어,가중치) 조합으로 저장 | ... | @@ -82,7 +81,14 @@ print(TfIf)#TFIF는 (단어,가중치) 조합으로 저장 |
82 | for i in range(len(TfIf)-1): | 81 | for i in range(len(TfIf)-1): |
83 | TfIf[i].sort(key=lambda x:x[1], reverse=True) #가중치기준 내림차순 정렬 | 82 | TfIf[i].sort(key=lambda x:x[1], reverse=True) #가중치기준 내림차순 정렬 |
84 | print(TfIf) | 83 | print(TfIf) |
85 | - | 84 | +onlynouns = [] |
86 | -df= pd.DataFrame.from_records(TfIf)#TfIf dataframe으로 변환 | 85 | +for i in range(len(TfIf)-1): |
87 | -df.to_excel(filename+'_가중치추출_내림정렬'+'.xlsx') | 86 | + onlynouns.append([]) |
87 | + for j in range(len(TfIf[i])-1): | ||
88 | + for k in range(len(TfIf[i][j])+1): | ||
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') | ||
88 | 94 | ... | ... |
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