dst

Use Python to find out if a timezone currently in daylight savings time [duplicate]

拈花ヽ惹草 提交于 2019-11-27 08:19:57
This question already has an answer here: Is a specific timezone using DST right now? 1 answer We have a server that runs on GMT time. I need to write a Python script that determines if it's currently (at this very second) Daylight Savings Time (DST) in Los Angeles, CA. How can I accomplish this? I took a look at pytz and time, but I can't figure it out. I realize that I could create some logic such as comparing the current time in LA to GMT time, but it would be a lot cleaner if I could use a standard library instead. Thanks Edit: Here's some sample code of me setting up the timezone: from

How to tell if a timezone observes daylight saving at any time of the year?

ぃ、小莉子 提交于 2019-11-27 07:53:56
In PHP, you can tell if a given date is during the Daylight Savings Time period by using something like this: $isDST = date("I", $myDate); // 1 or 0 The problem is that this only tells you whether that one point in time is in DST. Is there a reliable way to check whether DST is in effect at any time in that timezone? Edit to clarify: Brisbane, Australia does not observe daylight savings at any time of the year. All year around, it is GMT+10. Sydney, Australia does, from October to March when it changes from GMT+10 to GMT+11. I'm wondering if there would be some existing method, or a way to

How to detect Ambiguous and Invalid DateTime in PHP?

坚强是说给别人听的谎言 提交于 2019-11-27 06:06:26
问题 When dealing with local DateTime values provided by a user, it's quite possible to have a time that is either invalid or ambiguous, due to Daylight Saving Time transitions. In other languages and frameworks, there are often methods such as isAmbiguous and isValid , on some representation of the time zone. For example in .NET, there is TimeZoneInfo.IsAmbiguousTime and TimeZoneInfo.IsInvalidTime. Plenty of other time zone implementations have similar methods, or functionality to address this

pytz.astimezone not accounting for daylight savings?

我怕爱的太早我们不能终老 提交于 2019-11-27 05:53:54
问题 On 2013 Jun 1 I expect the "PST8PDT" timezone to behave like GMT+7, as it is daylight savings in that timezone. However, it behaves like GMT+8: >>> import pytz, datetime >>> Pacific = pytz.timezone("PST8PDT") >>> datetime.datetime(2013, 6, 1, 12, tzinfo=Pacific).astimezone(pytz.utc) datetime.datetime(2013, 6, 1, 20, 0, tzinfo=<UTC>) In contrast, on 2013 Jan 1 it behaves (correctly) like GMT+8: >>> datetime.datetime(2013, 1, 1, 12, tzinfo=Pacific).astimezone(pytz.utc) datetime.datetime(2013, 1

Converting Between Local Times and GMT/UTC in C/C++

安稳与你 提交于 2019-11-27 03:44:43
What's the best way to convert datetimes between local time and UTC in C/C++? By "datetime", I mean some time representation that contains date and time-of-day. I'll be happy with time_t , struct tm , or any other representation that makes it possible. My platform is Linux. Here's the specific problem I'm trying to solve: I get a pair of values containing a julian date and a number of seconds into the day. Those values are in GMT. I need to convert that to a local-timezone "YYYYMMDDHHMMSS" value. I know how to convert the julian date to Y-M-D, and obviously it is easy to convert seconds into

Daylight Savings Time Gap/Overlap definitions? When to “correct” for them?

南笙酒味 提交于 2019-11-27 03:38:17
问题 What is the definition of Daylight Savings Time 'Overlap' & 'Gap'? I have a hazy understanding of them, so I'd like to confirm... What does it mean to be "within" either of them? What does it mean to "correct" for DST Gap or DST Overlap? When does a time need correcting, and when does it not need correcting? The above questions are language-agnostic, but an example of their application I have is: When to call org.joda.time.LocalDateTime#correctDstTransition? Correct date in case of DST

Oracle TIMESTAMP WITH TIMEZONE named zone vs offset

人盡茶涼 提交于 2019-11-27 03:30:14
问题 In oracle, is the named timezone always stored? I have been testing this column within our system, and in some places the timestamp is shown as: 26-FEB-09 11.36.25.390713 AM +13:00 but other times it's: 26-FEB-09 11.36.25.390713 AM Pacific/Auckland If the value is being stored as the former, does that mean the actual timezone is not being stored? I worry because if a future date is stored with only an offset we might not be able to determine the actual time in the original timezone, because

Daylight savings time in Python

*爱你&永不变心* 提交于 2019-11-27 03:20:38
问题 I am writing a program which deals a lot with timezones and crossing them. The two things I deal with most are creating a datetime object from "now" and then localizing a naive datetime object. To create a datetime object from now in the pacific timezone, I am currently doing this (python 2.7.2+) from datetime import datetime import pytz la = pytz.timezone("America/Los_Angeles") now = datetime.now(la) Is this correct with regards to DST? If not, I suppose I should be doing: now2 = la.localize

How to handle Day Light Saving in Oracle database

China☆狼群 提交于 2019-11-27 02:24:42
In one of the Oracle database server it is showing "+01:00" when I fire the "Select dbtimezone from dual" does that mean in summer the clock will shift one hour ahead ?. In another server it is showing "+00:00" does that mean the database server setting is GMT ? but I am using the sysdate in oracle pl/sql. Client is saying the Aix server is on DST so would that mean the DB server will adopt the AIX server setting after clock change ? How to fix this problem. Answer is: It depends. In total your database has three time zones Your seesion time zone: SESSIONTIMEZONE This you can change by ALTER

Handling dates when we switch to daylight savings time and back

点点圈 提交于 2019-11-27 01:59:27
I would like to use R for time series analysis. I want to make a time-series model and use functions from the packages timeDate and forecast. I have intraday data in the CET time zone (15 minutes data, 4 data points per hour). On March 31st daylight savings time is implemented and I am missing 4 data points of the 96 that I usually have. On October 28th I have 4 data points too many as time is switched back. For my time series model I always need 96 data points, as otherwise the intraday seasonality gets messed up. Do you have any experiences with this? Do you know an R function or a package