Dear Luke First many thanks to this cool and helpful tool.
I stumbled over this thread during my search of examples and advice how to plot data over timestamp. Currently I am using version 0.10.0 and since in version 0.9.11 you guys have been playing around with the plotting over time and therefore I was wondering wheter there is an easy way now to do so... I tried this Thread <https://groups.google.com/forum/#!topic/pyqtgraph/kGHogKpcZC0> but it didn't solve my problems, as I have a GUI made with Qt Designer, so I failed to implement the "CAxisTime"-class. Also in the documentation I couldn't find much, except of this hint that something has been implemented working with time: Displaying images and video <http://www.pyqtgraph.org/documentation/images.html?highlight=time> Best regards Andreas Am Sonntag, 1. Juni 2014 05:38:47 UTC+2 schrieb Luke Campagnola: > > On Sat, May 31, 2014 at 4:28 PM, shx2 <[email protected] <javascript:>> > wrote: > >> Hi everybody, >> >> I've implemented my own DateAxis, which seems to be working nicely. Is >> this of any interest to anybody? Should I submit a pull request? >> > > I am very interested; this is an often-requested feature. (but please do > not be discouraged if it takes me some time to review your PR) > > >> One thing about my implementation is that it is using pandas for >> timestamp manipulation, which might cause an undesirable external >> dependency... The reason I decided to use pandas is that it provides the >> best tools I konw for manipulating timestamps and time frequencies (by far, >> IMO). >> > > Yes, that would be problematic. I imagine there is not too much code > required for this.. is it possible to just copy or re-implement the > relevant code from Pandas? If you do copy anything, please include a note > about the original source and license of the code. > > > Luke > -- You received this message because you are subscribed to the Google Groups "pyqtgraph" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/pyqtgraph/fe0b7dd7-9a2a-4bb0-96e6-6fed4e097414%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
