Replies: 1 comment 1 reply
-
Hi, these are interpreted as three intervals. You can see each entry as the point at which the new timezone kicks in. In this case we would have:
These intervals should not cause any issues with smartphone data. Fitbit data will have inaccurate features on the days the timezone changed because its data is saved in local time with no timezone. |
Beta Was this translation helpful? Give feedback.
1 reply
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
-
Hi,
The datasets I am working with contain data with interlaying timezone. For example, a person can start in America/Chicago, travel to Europe/Berlin, and finally back to America/Chicago for a bit more time. Based on the documentation around timezone configuration, my tzcodes_files will have the following entry:
In this case, will RAPIDS treat this data as having three separate timezone intervals, or just two timezone intervals? Would this interlaying cause any problems for the pipeline?
Thanks
Beta Was this translation helpful? Give feedback.
All reactions