| 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)) | |