Python中Arrow库的时间操作技法总结

pip install arrow

import arrow

# 获取当前日期时间
now = arrow.now()
print(f"当前日期时间：{now}")

# 根据指定日期时间字符串创建对象
dt_str = "2023-01-01 12:30:00"
custom_dt = arrow.get(dt_str)
print(f"自定义日期时间：{custom_dt}")

# 格式化为字符串
formatted_str = now.format("YYYY-MM-DD HH:mm:ss")
print(f"格式化日期时间：{formatted_str}")

# 获取日期、时间部分
date_part = now.date()
time_part = now.time()
print(f"日期部分：{date_part}, 时间部分：{time_part}")

# 增减天数
next_week = now.shift(days=7)
print(f"一周后：{next_week}")

# 增减小时
next_hour = now.shift(hours=1)
print(f"一小时后：{next_hour}")

# 比较两个日期时间
is_future = next_week > now
print(f"是否在未来：{is_future}")

# 获取本地时区
local_tz = now.tzinfo
print(f"本地时区：{local_tz}")

# 获取UTC时区
utc_tz = arrow.utcnow().tzinfo
print(f"UTC时区：{utc_tz}")

# 将日期时间对象转换到其他时区
ny_time = now.to("America/New_York")
print(f"纽约时间：{ny_time}")

# 显示相对时间
humanized_time = now.humanize()
print(f"相对时间显示：{humanized_time}")

# 获取日期时间的各个组成部分
year = now.year
month = now.month
day = now.day
hour = now.hour
minute = now.minute
second = now.second
print(f"年：{year}, 月：{month}, 日：{day}, 时：{hour}, 分：{minute}, 秒：{second}")

# 计算时间跨度
diff = custom_dt - now
print(f"日期时间差距：{diff}")

# 转换为时间戳
timestamp = now.timestamp()
print(f"时间戳：{timestamp}")

# 从时间戳创建日期时间
from_timestamp = arrow.get(timestamp)
print(f"从时间戳创建日期时间：{from_timestamp}")

# 自定义格式化
custom_format = now.format("dddd, MMMM D, YYYY [at] h:mm A")
print(f"自定义格式化：{custom_format}")

import pandas as pd

# 创建Pandas的时间序列
date_range = pd.date_range(start=now.datetime, periods=5, freq='D')

# 转换为Arrow对象
arrow_objects = [arrow.get(dt) for dt in date_range]
print(f"Pandas时间序列转为Arrow对象：{arrow_objects}")

try:
    # 尝试解析错误的日期时间字符串
    invalid_dt = arrow.get("invalid datetime")
except arrow.parser.ParserError as e:
    print(f"解析错误：{e}")

import arrow
import time

# 测试日期时间创建的性能
start_time = time.time()
for _ in range(100000):
    arrow.get("2023-01-01T12:00:00")
end_time = time.time()
print(f"创建100,000个日期时间对象所需时间：{end_time - start_time} 秒")

import arrow
import time

# 测试时区转换的性能
now = arrow.now()
start_time = time.time()
for _ in range(100000):
    now.to("America/New_York")
end_time = time.time()
print(f"进行100,000次时区转换所需时间：{end_time - start_time} 秒")

import arrow
import logging

# 配置日志记录器
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# 记录事件发生时间
event_time = arrow.now()
logger.info(f"事件发生于：{event_time}")

import arrow
from apscheduler.schedulers.blocking import BlockingScheduler

# 创建调度器
scheduler = BlockingScheduler()

# 定义一个定时任务
def scheduled_task():
    current_time = arrow.now()
    print(f"定时任务执行于：{current_time}")

# 每天的10:30执行任务
scheduler.add_job(scheduled_task, 'cron', hour=10, minute=30)

# 启动调度器
scheduler.start()