Convert pandas timezone-aware DateTimeIndex to naive timestamp, but in . . . The timezone information is used only for display purposes when printing the timezone to the screen At display time, the data is offset appropriately and +01:00 (or similar) is added to the string Stripping off the tz_info value (using tz_convert(tz=None)) doesn't doesn't actually change the data that represents the naive part of the timestamp
node. js - date-fns convert utc to timezone - Stack Overflow I'm trying to parse a utc time to timezone using date-fns in Nodejs const date = new Date('2018-09-01T16:01:36 386Z'); const timeZone = 'Europe Berlin'; const zonedDate = utcToZonedTime(date, timeZone); zonedDate could be used to initialize a date picker or display the formatted local date time Set the output to "1 9 2018 18:01:36 386 GMT+02:00 (CEST)" const pattern = "d M yyyy HH:mm:ss
为什么在中国只有一个时区，但是却有很多的时区代码？ - 知乎 所以题主所问的其实是 TZ database 的命名法（为什么只使用城市，而不用国家）。 TZ database 的命名规范是 Area Location，其中 Area 是洲或大洋（大洋通常用于一些岛屿），另外还有 Etc（与地理无关的特殊时区，比如 Etc UTC）。Location 则是城市或者岛。
What is the correct tz database time zone for India? The zone1970 tab file in the tz database is one way to determine the correct time zone It currently has the following entry for India: IN +2232+08822 Asia Kolkata This breaks out to the following: IN is the ISO-3166 alpha-2 country code for India
How do I change timezone in a docker container? - Stack Overflow FROM postgres:10 ENV TZ="Africa Lusaka" RUN date Build docker build -t dbtest RUN docker run -it dbtest -c "date" Now you can verify on DB side by running show timezone; You will see Central Africa Time in both container and Postgres In the alpine base image, the environment variable will not work You will need to run
Converting time zone pandas dataframe - Stack Overflow For example: import pandas as pd import pytz index = pd date_range('20140101 21:55', freq='15S', periods=5) df = pd DataFrame(1, index=index, columns=['X']) print(df) # X # 2014-01-01 21:55:00 1 # 2014-01-01 21:55:15 1 # 2014-01-01 21:55:30 1 # 2014-01-01 21:55:45 1 # 2014-01-01 21:56:00 1 # [5 rows x 1 columns] print(df index) # <class 'pandas tseries index DatetimeIndex'> # [2014-01-01 21:55
Oracle Time Zones Conversion (using from_tz) - Stack Overflow to_timestamp() gets a string (VARCHAR2, CHAR ) if you try to give it a date, then oracle will convert it to a string according to NLS_DATE_FORMAT which might vary in different environments and return unexpected results (as in this case)