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- # # import boto3
- # import pandas as pd
- # # import s3fs
- # df = pd.read_csv('s3://cse-cic-ids2018/Processed Traffic Data for ML Algorithms/Wednesday-28-02-2018_TrafficForML_CICFlowMeter.csv',low_memory=False)
- # df = df[df.Label != 'Label']
- # # df[100:101]
- # print(df[100:101])
- import s3fs
- fs = s3fs.S3FileSystem(anon=True)
- fs = s3fs.S3FileSystem(anon=True)
- fs.ls('cse-cic-ids2018')
- #s3://cse-cic-ids2018/Processed Traffic Data for ML Algorithms/Wednesday-28-02-2018_TrafficForML_CICFlowMeter.csv
- with fs.open('cse-cic-ids2018/Processed Traffic Data for ML Algorithms/Wednesday-28-02-2018_TrafficForML_CICFlowMeter.csv', 'r',encoding='utf-8') as f:
- reader = csv.reader(f)
- header = next(reader)
- print(header)
- i=0
- for row in reader:
- i=i+1
- if i<102 and i>98:
- print(i,row)
- len(csvdata)
- print(csvdata[0:1000])
- import pandas as pd
- csvdata = csvdata.decode('utf-8')
- data_frame = pd.read_csv(csvdata)
- print(len(data_frame))
- import csv
- reader = csv.reader(csvdata)
- print(next(reader))
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