在特定时间间隔内将小时添加到行的日期时间

Question

让它成为下面的Python Panda DataFrame:

| country_ID | date                      | counter  | value  |
| --------   | ------------------------- | -------- | ------ |
| USA        | 2022-03-01 09:22:29+00:00 |    1     |  red   |
| UK         | 2022-03-01 11:21:20+00:00 |    1     |  blue  |
| USA        | 2022-04-02 12:15:23+00:00 |    1     |  red   |
| ITL        | 2022-04-03 11:13:31+00:00 |    1     |  red   |
| USA        | 2022-05-05 21:04:42+00:00 |    1     |  green |
| USA        | 2022-05-05 22:01:51+00:00 |    1     |  green |
| ITL        | 2022-06-06 13:00:41+00:00 |    1     |  red   |

给定一个日期和时间范围（开始和结束）和一个 country_ID，我想向该范围内的行添加 2 小时：

示例：

add_hours('USA', '2022-03-01 09:00:00', '2022-05-05 21:30:00', 2)

| country_ID | date                      | counter  | value  |
| --------   | ------------------------- | -------- | ------ |
| USA        | 2022-03-01 11:22:29+00:00 |    1     |  red   |
| UK         | 2022-03-01 11:21:20+00:00 |    1     |  blue  |
| USA        | 2022-04-02 14:15:23+00:00 |    1     |  red   |
| ITL        | 2022-04-03 11:13:31+00:00 |    1     |  red   |
| USA        | 2022-05-05 23:04:42+00:00 |    1     |  green |
| USA        | 2022-05-05 22:01:51+00:00 |    1     |  green |
| ITL        | 2022-06-06 13:00:41+00:00 |    1     |  red   |

Answer 1

使用布尔索引尝试您的逻辑（date 也必须是日期时间对象，而不是字符串）：

def add_hours(df, country, start, end):
    is_country = df['country_ID'].eq(country)
    valid_date = df['date'].between(start, end)

    df.loc[is_country & valid_date, 'date'] += pd.Timedelta('2H')

在特定时间间隔内将小时添加到行的日期时间

Add hours to datetime of rows in a specific time interval

python

datetime

dataframe

pandas