| | import xlrd |
| | import csv |
| |
|
| | '''def xlsx_to_csv(): |
| | workbook = xlrd.open_workbook('SWaT_Dataset_Normal_v1.xlsx') |
| | table = workbook.sheet_by_index(0) |
| | with open('swat_train.csv', 'w', encoding='utf-8') as f: |
| | write = csv.writer(f) |
| | for row_num in range(table.nrows): |
| | row_value = table.row_values(row_num) |
| | write.writerow(row_value) |
| | |
| | if __name__ == '__main__': |
| | xlsx_to_csv()''' |
| | '''import pandas as pd |
| | import csv |
| | f = open('swat_train2.csv','w',encoding='utf-8') |
| | csv_writer = csv.writer(f) |
| | csv_writer.writerow(['FIT101' ,'LIT101' ,' MV101', 'P101' ,'P102', ' AIT201', 'AIT202', |
| | 'AIT203' ,'FIT201' ,' MV201' ,' P201', ' P202', 'P203' ,' P204', 'P205', 'P206', |
| | 'DPIT301' ,'FIT301', 'LIT301' ,'MV301' ,'MV302', ' MV303', 'MV304' ,'P301' |
| | , 'P302', 'AIT401', 'AIT402', 'FIT401', 'LIT401', 'P401', 'P402', 'P403', 'P404', |
| | 'UV401' ,'AIT501', 'AIT502', 'AIT503', 'AIT504', 'FIT501', 'FIT502' ,'FIT503', |
| | 'FIT504', 'P501', 'P502', 'PIT501', 'PIT502', 'PIT503', 'FIT601', 'P601', 'P602', |
| | 'P603', 'Normal/Attack']) |
| | |
| | df = pd.read_csv('swat_train.csv') |
| | df = df.values |
| | for u in range(1,len(df)): |
| | tem = df[u][1:] |
| | tem2 = [] |
| | for i in range(len(tem)-1): |
| | tem2.append(float(tem[i])) |
| | if(tem[-1]=='Normal'): |
| | tem2.append(0) |
| | else: |
| | tem2.append(1) |
| | csv_writer.writerow(tem2)''' |
| | import pandas as pd |
| | df = pd.read_csv('swat_train2.csv') |
| | df = df.values |
| | print(df.shape) |
| | ano = 0 |
| | for u in range(len(df)): |
| | if(df[u][-1]==1): |
| | ano = ano+1 |
| | print(ano) |
| | print(ano/len(df)) |
| |
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