start_time= datetime.strptime(start_time_str,"%Y-%m-%d %H:%M:%S") end_time= datetime.strptime(end_time_str,"%Y-%m-%d %H:%M:%S") time_difference1= (end_time -start_time) print(time_difference1) # Calculate the time difference time_difference= (end_time -start_time).total_seconds() # Print the time difference print(f"Time Diff...
importdatetimedefcalculate_time_diff(specified_time):current_time=datetime.datetime.now()time_diff=(current_time-specified_time).total_seconds()returntime_diff specified_time=datetime.datetime(2023,8,5,12,30,0)time_diff=calculate_time_diff(specified_time)print("The time difference is",time_diff,...
importrequestsimporttimeimportmatplotlib.pyplotaspltdeffetch_server_time(url):""" 从指定URL获取服务器时间 :param url: 服务器地址 :return: 服务器时间 """response=requests.get(url)server_time=response.json().get('server_time')# 假设API返回 JSON 格式returnserver_timedefcalculate_time_difference(url...
from datetime import datetime, timedelta# Create two datetime objectsstart_datetime = datetime(2023, 5, 30, 10, 0, 0)end_datetime = datetime(2023, 5, 31, 15, 30, 0)# Calculate the difference between two datetime objectstime_difference = end_datetime - start_datetimeprint("Time Difference:...
# Calculate the difference between two datetime objectstime_difference = end_datetime - start_datetime print("Time Difference:", time_difference) 4. 时区转换 使用pytz库在不同时区之间转换datetime对象。这里有一个例子: from datetime import datetimeimport pyt...
from datetime import datetime, timedelta # Create two datetime objects start_datetime = datetime(2023, 5, 30, 10, 0, 0) end_datetime = datetime(2023, 5, 31, 15, 30, 0) # Calculate the difference between two datetime objects time_difference = end_datetime - start_datetime print("Time ...
for zone in pytz.all_timezones: print(zone) Summary In this article, we’ve covered how to use Python’s datetime module to: Convert a string into a datetime object. Format datetime objects for specific outputs. Compare dates and calculate time differences. ...
# Calculate the time difference in seconds within each match_id group match_data['time_diff'] = match_data.groupby('match_id')['elapsed_time_td'].diff().dt.total_seconds() # Fill NaN values with the first elapsed_time value in each group, converted to seconds ...
The Python time module is a powerful tool for working with times and dates in both simple and complex ways, allowing you to easily manipulate dates, format strings, calculate durations, and more. You can make your programming tasks much easier if you know how to use the time module effective...
fromdatetime import datetime, timedelta# Create two datetime objectsstart_datetime= datetime(2023,5,30,10,0,0)end_datetime= datetime(2023,5,31,15,30,0)# Calculate the difference between two datetime objectstime_difference= end_datetime - start_datetimeprint("Time Difference:", time_difference) ...