import pandas as pd

data = pd.read_csv("/datasets/visits.csv", sep="\t")
data['local_time'] = (
    pd.to_datetime(data['date_time'], format='%Y-%m-%dT%H:%M:%S')
    + pd.Timedelta(hours=3)
)
data['date_hour'] = data['local_time'].dt.round('1H')
data['too_fast'] = data['time_spent'] < 60
data['too_slow'] = data['time_spent'] > 1000

too_fast_stat = data.pivot_table(index='id', values='too_fast')
good_ids = too_fast_stat.query('too_fast < 0.5')
good_data = data.query('id in @good_ids.index')

good_data = good_data.query('time_spent > 60 & time_spent < 1000')
print(len(good_data))