timing=202202020030 start_time = date(year=timing.year, month=timing.month, day=timing.day) end_time = '' 通过date创建精度到分钟的时间
时间: 2023-10-09 18:12:55 浏览: 145
在Python中,`date`类无法表示精度到分钟的时间,只能精确到日。不过,我们可以使用`datetime`类来表示精度到分钟的时间。具体的代码如下所示:
```python
from datetime import datetime
timing = 202202020030
year = timing // 100000000
month = (timing // 1000000) % 100
day = (timing // 10000) % 100
hour = (timing // 100) % 100
minute = timing % 100
start_time = datetime(year=year, month=month, day=day, hour=hour, minute=minute)
end_time = ''
print(start_time)
```
输出结果为:`2022-02-02 00:30:00`,表示精度到分钟的时间。
相关问题
代码优化: quarter_dict = { '1': [date(year=timing.year, month=1, day=1), date(year=timing.year, month=3, day=calendar.monthrange(timing.year, 3)[-1])], '2': [date(year=timing.year, month=1, day=1), date(year=timing.year, month=3, day=calendar.monthrange(timing.year, 3)[-1])], '3': [date(year=timing.year, month=1, day=1), date(year=timing.year, month=3, day=calendar.monthrange(timing.year, 3)[-1])], '4': [date(year=timing.year, month=4, day=1), date(year=timing.year, month=6, day=calendar.monthrange(timing.year, 6)[-1])], '5': [date(year=timing.year, month=4, day=1), date(year=timing.year, month=6, day=calendar.monthrange(timing.year, 6)[-1])], '6': [date(year=timing.year, month=4, day=1), date(year=timing.year, month=6, day=calendar.monthrange(timing.year, 6)[-1])], '7': [date(year=timing.year, month=7, day=1), date(year=timing.year, month=9, day=calendar.monthrange(timing.year, 9)[-1])], '8': [date(year=timing.year, month=7, day=1), date(year=timing.year, month=9, day=calendar.monthrange(timing.year, 9)[-1])], '9': [date(year=timing.year, month=7, day=1), date(year=timing.year, month=9, day=calendar.monthrange(timing.year, 9)[-1])], '10': [date(year=timing.year, month=10, day=1), date(year=timing.year, month=12, day=calendar.monthrange(timing.year, 12)[-1])], '11': [date(year=timing.year, month=10, day=1), date(year=timing.year, month=12, day=calendar.monthrange(timing.year, 12)[-1])], '12': [date(year=timing.year, month=10, day=1), date(year=timing.year, month=12, day=calendar.monthrange(timing.year, 12)[-1])] }
可以代码进行优化,避免冗余的重复代码。可以将每个季度的起始月份和结束月份存储在一个列表中,然后使用一个循环来遍历这个列表,生成 quarter_dict 字典。代码如下:
```python
quarters = [('1', 1, 3), ('2', 1, 3), ('3', 1, 3), ('4', 4, 6), ('5', 4, 6), ('6', 4, 6), ('7', 7, 9), ('8', 7, 9), ('9', 7, 9), ('10', 10, 12), ('11', 10, 12), ('12', 10, 12)]
quarter_dict = {}
for quarter in quarters:
start_month = quarter[1]
end_month = quarter[2]
quarter_dict[quarter[0]] = [date(year=timing.year, month=start_month, day=1), date(year=timing.year, month=end_month, day=calendar.monthrange(timing.year, end_month)[-1])]
```
这样的代码看起来更加简洁,易于维护。
void Timing_Handle() //定时处理 100MS调用 { static u8 Last_Timing = 0; static u16 Timing_Cnt = 0; if(Last_Timing != Timing) { Last_Timing = Timing; Timing_Cnt = 0; } if(Timing == 0) { return; } if(++Timing_Cnt >= 36000) { if(--Timing == 0) { Power = 0; } } }优化这段代码
下面是对代码进行优化的建议:
1. 使用`static`关键字来定义`Timing_Cnt`和`Last_Timing`变量,可以将其保存在静态存储区,避免了每次函数调用时都重新分配内存。
2. 将`Timing_Cnt`的递增操作放到条件判断的外部,避免不必要的递增操作。
3. 将`Timing_Cnt`的递增操作改为自增1,而不是自增2,以减少循环次数。
4. 将递减`Timing`的操作放到条件判断的外部,并将递减操作改为自减1,以避免多余的递减操作。
优化后的代码如下:
```c
void Timing_Handle()
{
static u16 Timing_Cnt = 0;
static u8 Last_Timing = 0;
if(Last_Timing != Timing)
{
Last_Timing = Timing;
Timing_Cnt = 0;
}
if(Timing == 0)
***
阅读全文