strptime(date_string,format) from datetime import datetime # 获取当前 datetime now = datetime.now() # 格式化 datetime formatted = now.strftime("%Y-%m-%d %H:%M:%S") print("Formatted datetime:", formatted) # 输出: 2024-04-17 08:38:16.670725+00:00 # 从字符串解析 datetime parsed = datetim...
datetime.today()a # 当前时间,localtime datetime.now([tz]) # 当前时间默认 localtime datetime.utcnow() # UTC 时间 datetime.fromtimestamp(timestamp[, tz]) # 由 Unix Timestamp 构建对象 datetime.strptime(date_string, format) # 给定时间格式解析字符串 1. 2. 3. 4. 5. 6. 7. 8. 9. 10...
from datetime import datetime # 创建一个datetime对象 dt = datetime(2021, 9, 1, 10, 30, 0) # 使用formatdatetime函数格式化日期和时间 formatted_datetime = dt.strftime("%Y-%m-%d %H:%M:%S") print(formatted_datetime) 复制代码 在上面的示例中,首先我们导入了datetime模块,然后创建了一个datetime对象d...
importdatetimeimporttime#datetime.date类的常用方法#datetime.date类的生成年月日格式的写法, 今日是2020-09-30 周三ymd =datetime.date.today()print(ymd)#2020-09-30print(ymd.strftime('%Y-%m-%d'))#2020-09-30print(ymd.strftime('%Y/%m/%d'))#2020/09/30print(ymd.isoformat())#2020-09-30 默认...
pythonfrom datetime import datetimenow = datetime.nowdate = now.strftimetime = now.strftimeprint)4. 字典格式化： 将字典中的键值对作为关键字参数传递。 例如：pythonperson = {'name': 'Alice', 'age': 30}print)熟练掌握 format 函数，可以让你在处理字符串和数据时更加灵活和高效。
datetime.strptime(date_list, '%Y-%m-%d') # Raises TypeError: strptime() argument 1 must be str, not list Powered By ValueError: unconverted data remains: ':00' This error occurs when leftover characters exist in the input string, which is not matched by the format string. For example,...
import datetime a = datetime.datetime(2020, 12, 31, 23, 59, 59) b = datetime.datetime(2020, 11, 30, 23, 59, 59) print(a < b) print(a > b) Output: False True 18从 datetime 对象中提取年份 import datetime year = datetime.date.today().year ...
strftime(format) 将datetime 对象格式化为字符串。 python now = datetime.now() formatted = now.strftime("%Y-%m-%d %H:%M:%S") print(formatted) # 输出: 2023-10-25 14:30:00 strptime(string, format) 将字符串解析为 datetime 对象。 python ...
默认设置是未将track_history_column_list或 track_history_except_column_list参数传递给函数时包含目标表中的所有列。 重要 APPLY CHANGES FROM SNAPSHOTAPI 为公共预览版。 使用Python API 中的apply_changes_from_snapshot()函数,以使用增量实时表变更数据捕获 (CDC) 功能处理数据库快照中的源数据。
Code The code and issue tracker are hosted on GitHub:https://github.com/dateutil/dateutil/ Features Computing of relative deltas (next month, next year, next Monday, last week of month, etc); Computing of relative deltas between two given date and/or datetime objects; ...