dataset = pd.read_csv('n.csv')
data= pd.DataFrame(dataset,columns=  ['date','time','temperature','humidity','wind'])
data['time'] = pd.to_timedelta(data['time'])
data['time'] -= data.at[0, 'time']
data['time'] = data['time'].dt.total_seconds()
data['time']= pd.to_datetime(data['time'], unit='s')

data = (data.set_index('time')
    .resample('60T').first()
    .reset_index()
   .reindex(columns=data.columns))
data['time'] = data['time'].astype(np.int64) // 10**9

print(data)

date             time   temperature  humidity  wind
      0   10/3/2018      0           63         0     0
      1   10/3/2018   3600           63         0     2
      2   10/3/2018   7200          104        11     0
      3   10/3/2018  10800           93         0    50
      4   10/3/2018  14400          177         0     2
      5   10/3/2018  18000          133         0     0
      6   10/3/2018  21600           70         0     0
      7   10/4/2018  25200          210        50    20
      8   10/5/2018  28800          170        20    40
      9   10/3/2018  32400          127         0    50
      10  10/3/2018  36000          205         0     0
      11  10/3/2018  39600          298         0     0
      12  10/3/2018  43200          234         0     0
      13  10/3/2018  46800          148         0    20
      14  10/3/2018  50400          135         0     0
      15  10/3/2018  54000          100         0    50