This question already has an answer here: Getting the class name of an instance in Python 8 answers 尝试这个： instance.__class__.__name__
这个问题在这里已经有了答案： 在Python 8中获取实例的类名答案 尝试这个： instance.__class__.__name__
This question already has an answer here: Getting the class name of an instance in Python 8 answers instance.__class__.__name__ 例： >>> class A(): pass >>> a = A() >>> a.__class__.__name__ 'A' <object>.__class__.__name__ you can also create a dict with the classes themselves as keys, not necessarily the classnames typefunc={ int:lambda x: x*2, s
这个问题在这里已经有了答案： 在Python 8中获取实例的类名答案 instance.__class__.__name__ 例： >>> class A(): pass >>> a = A() >>> a.__class__.__name__ 'A' <object>.__class__.__name__ 你也可以用类自身作为键创建一个字典，不一定是类名 typefunc={ int:lambda x: x*2, str:lambda s:'(*(%s)*)'%s } def transform (param): print typefunc[type(param)](par
Let's say I have wrapped my C++ classes Foo and Bar and can access them from Python just fine through the SWIG generated module wrap_py : // C++ class Bar { int i; Bar(int i) { this.i = i; } } class Foo { public: Foo(Bar* bar) { this.bar = bar; } Bar* GetBar() { return this.bar; } private: Bar* bar; } In Python, I created my user facing class that are a shallow proxy
比方说，我已经封装了我的C ++类Foo和Bar并且可以通过SWIG生成的模块wrap_py从Python访问它们： // C++ class Bar { int i; Bar(int i) { this.i = i; } } class Foo { public: Foo(Bar* bar) { this.bar = bar; } Bar* GetBar() { return this.bar; } private: Bar* bar; } 在Python中，我创建了面向类的用户，它们是浅层代理，主要是添加文档字符串，并允许IDE在参数名称上完成标签填充： // Python
If I do this: >>> False in [False, True] True That returns True . Simply because False is in the list. But if I do: >>> not(True) in [False, True] False That returns False . Whereas not(True) is equal to False : >>> not(True) False Why? Operator precedence 2.x, 3.x. The precedence of not is lower than that of in . So it is equivalent to: >>> not
如果我这样做： >>> False in [False, True] True 这返回True 。 只是因为False在列表中。 但是，如果我这样做： >>> not(True) in [False, True] False 这返回False 。 而not(True)等于False ： >>> not(True) False 为什么？ 运算符优先级 2.x，3.x. 优先级not低于in 。的优先级。 所以它相当于： >>> not (True in [False, True]) False 这是你想要的： >>> (n
Hi I just started with Python, I'm currently developing a UI testing application for mobile devices and I have to work on a custom rendered Softkeyboard. Button.py class Button(): def __init__(self, name, x, y, x2=None, y2=None): self.name = name self.x = x self.y = y self.x2 = x2 self.y2 = y2 KeyboardKey.py import Button class KeyboardKey(Butto
您好，我刚刚开始使用Python，目前我正在开发面向移动设备的UI测试应用程序，并且必须使用自定义渲染软键盘。 Button.py class Button(): def __init__(self, name, x, y, x2=None, y2=None): self.name = name self.x = x self.y = y self.x2 = x2 self.y2 = y2 KeyboardKey.py import Button class KeyboardKey(Button): def __init__(self, name, x, y): super(s
So, I started doing some python recently and I have always like to lift some weights as well. Therefore, I was thinking about a little program where I can put in my training progress (as some kind of python excercise). I do something like the following as an example: from sys import argv file = argv[1] target_file = open(file, 'w') weigth = raw_input("Enter what you lifted today: ") weigth_li
所以，我最近开始做一些python，我也一直喜欢举一些权重。 因此，我正在考虑一个可以放入我的训练进度的小程序（就像某种python练习）。 作为一个例子，我做了如下的事情： from sys import argv file = argv[1] target_file = open(file, 'w') weigth = raw_input("Enter what you lifted today: ") weigth_list = [] weigth_list.append(weigth) file.write(weigth_list) file.close() 现在，我知道这里有很多错误，但这
The server sends a string that I striptime and keep in a variable called here time_from_frontend and then add a tzinfo like this: import pytz my_timezone = pytz.timezone("America/Guayaquil") A = time_from_frontend.replace(tzinfo=my_timezone) print A print A.tzinfo B = (datetime.datetime.today()).replace(tzinfo=my_timezone) print B print B.tzinfo print B - A ?¿
服务器发送一个字符串，我将striptime保存在一个名为time_from_frontend的变量中，然后添加一个tzinfo，如下所示： import pytz my_timezone = pytz.timezone("America/Guayaquil") A = time_from_frontend.replace(tzinfo=my_timezone) print A print A.tzinfo B = (datetime.datetime.today()).replace(tzinfo=my_timezone) print B print B.tzinfo print B - A ?¿ 为什么我在A和B之间
I want to calculate difference between two time in hours using django in sql db the time are stored in timefield. I tried this: def DesigInfo(request): # attendance summary emplist = models.staff.objects.values('empId', 'name') fDate = request.POST.get('fromDate') tDate = request.POST.get('toDate') if request.GET.get('empId_id'): sel = attendance.objects.filter(empId_id=request.G
我想计算两个时间之间的差异使用django在sql db的时间存储在时间字段。 我试过这个： def DesigInfo(request): # attendance summary emplist = models.staff.objects.values('empId', 'name') fDate = request.POST.get('fromDate') tDate = request.POST.get('toDate') if request.GET.get('empId_id'): sel = attendance.objects.filter(empId_id=request.GET.get('empId_id'),) for i in sel: #
delorean docs show this way to get the current time in a given timezone using datetime : from datetime import datetime from pytz import timezone EST = "US/Eastern" UTC = "UTC" d = datetime.utcnow() utc = timezone(UTC) est = timezone(EST) d = utc.localize(d) d = est.normalize(EST) and compare it with the delorian-based code: from delorean import Delorean EST = "US/Eastern" d = Delorean(time
delorean文档以这种方式显示使用datetime获取给定时区中的当前时间： from datetime import datetime from pytz import timezone EST = "US/Eastern" UTC = "UTC" d = datetime.utcnow() utc = timezone(UTC) est = timezone(EST) d = utc.localize(d) d = est.normalize(EST) 并将其与基于delorian的代码进行比较： from delorean import Delorean EST = "US/Eastern" d = Delorean(timezone=EST) 我相信datetime例子应
This question already has an answer here: Display the time in a different time zone 6 answers To get the current time in the local timezone as a naive datetime object: from datetime import datetime naive_dt = datetime.now() If it doesn't return the expected time then it means that your computer is misconfigured. You should fix it first (it is unrelated to Python). To get the current
这个问题在这里已经有了答案： 在不同时区显示时间6个答案 将本地时区中的当前时间作为天真的日期时间对象获取： from datetime import datetime naive_dt = datetime.now() 如果它没有返回预期的时间，那么这意味着您的计算机配置错误。 你应该首先解决它（它与Python无关）。 以UTC的当前时间作为天真的日期时间对象： naive_utc_dt = datetime.utcnow() 在Python 3.3+中获取当前时间作为一个知晓的日期时间对象：