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+#!/usr/bin/env python
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+# -*- encoding: utf-8 -*-
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+'''
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+@Author : liuyuqi
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+@Contact : liuyuqi.gov@msn.cn
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+@Time : 2020/02/23 20:21:23
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+@Version : 1.0
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+@License : Copyright © 2017-2020 liuyuqi. All Rights Reserved.
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+@Desc :
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+'''
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+
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+import pandas as pd
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+import datetime
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+
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+
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+def run():
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+ # df = pd.read_csv("disk_sample_smart_log_test_a.csv", nrows=4)
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+ df = pd.read_csv("disk_sample_smart_log_test_a.csv")
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+ print(df.iloc[[1]])
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+ res = df[["manufacturer", "model", "serial_number", "dt"]]
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+ res["dt"] = res['dt'].apply(
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+ lambda x: datetime.datetime.strptime(str(x), '%Y%m%d'))
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+ res["dt"] = res['dt'].apply(lambda x: x + datetime.timedelta(10))
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+
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+ save(res)
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+
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+
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+def save(df: pd.DataFrame):
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+ df.to_csv("result.csv", header=None, encoding="utf8", index=False)
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+
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+
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+if __name__ == "__main__":
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+ run()
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