Wrong x-axis upper limit with date ?
apraga opened this issue · comments
Hi,
With the following minimal example, I find the upper plot limit is higher than it should be, resulting in a lot of blank space :
d = DataFrame(date=[
DateTime(2023,03,23),
DateTime(2023,03,22),
DateTime(2023,03,21),
DateTime(2023,03,20),
DateTime(2023,03,19),
DateTime(2023,03,18),
DateTime(2023,03,17),
DateTime(2023,03,16),
DateTime(2023,03,15),
DateTime(2023,03,14)
],
result= [0.37, 1.66, 0.1, 2.64, 0.6, 3.73, 0.74, 5.69, 1.82, 2.93])
plot(d, x=:date, y=:result)
Is there a way to correct the default behaviour ? Using maxvalue
with scale.x_continous did not help. Thanks!
Coord.cartesian(xmax=...
or Scale.x_continuous[maxvalue=...
.
it's not a bug per se. there is an optimization algorithm which computes the bounds and number of ticks. ideally we need to figure out a way to hoist the parameters (ie granularity_weight, simplicity_weight, coverage_weight, and niceness_weight) into a user accessible function instead of just hard-coding defaults.
Using integer instead of date gives a result much more satisfying for the end-user:
d = DataFrame(date = [23, 22, 21, 20, 19, 18, 17, 16, 15, 14],
result= [0.37, 1.66, 0.1, 2.64, 0.6, 3.73, 0.74, 5.69, 1.82, 2.93])
plot(d, x=:date, y=:result)
Is it the expected behaviour that bounds are different for date and integers in this example ? Thanks !
a lot of changes were made to dates recently and there hasn't been a new release made to include them. try checking out master (with ] dev Gadfly
) and see if the ticks are any better for you. i get the following plots on master for your two examples above:
Thanks for your quick answer ! It does fixes my issue, closing it now.