[BUG] yticks lower limit?

[henrikjaerleblad]

Details

When trying to use Plots.plot(signal) to plot a 1D signal with extrema(signal)=(0.0, 1.8873828540670017e-16).
I get the following result

and the warning message

Warning: No strict ticks found
└ @ PlotUtils C:\Users\henrikj\.julia\packages\PlotUtils\2GoqU\src\ticks.jl:295

I noticed in the ticks.jl file that eps() is used. Since eps()=2.220446049250313e-16, does this mean we have to manually specify the ticks (and lims) for the y- and x-axis if the values of the quantities that we are trying to plot are smaller than eps() (or something similar)? Would it be possible to add the feature for ticks.jl to find suitable ticks, regardless of how small (or big?) the quantities are?

Backends

GR

This bug occurs on ( insert x below )

Backend	yes	no	untested
gr (default)	X
pyplot			X
plotly			X
plotlyjs			X
pgfplotsx			X
inspectdr			X

Versions

Plots.jl version: 1.21.3
Backend version: 0.58.1
Output of versioninfo():

Julia Version 1.6.2
Commit 1b93d53fc4 (2021-07-14 15:36 UTC)
Platform Info:
  OS: Windows (x86_64-w64-mingw32)
  CPU: Intel(R) Core(TM) i7-8665U CPU @ 1.90GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-11.0.1 (ORCJIT, skylake)
Environment:
  JULIA_EDITOR = code
  JULIA_NUM_THREADS =

[BeastyBlacksmith]

Thats not an unreasonable feature request, but its also not too easy to implement without sacrificing performance. I don't want to need to use big floats in the whole tick computation for example.
The easiest for you at the moment would be to scale your signal, such that it has a less problematic range.

[isentropic]

I also encounter this from time to time, I usually multiply the data let's say in e-6 range, by e6 and a y label="micro"

[isentropic]

matplotlib also handles it the same way, though the multiplication coefficient is platted automatically

[henrikjaerleblad]

Alright thanks, I understand!

I mean, it is possible to get yticks (or xticks for that matter) for smaller values than eps() by manually specifying them together with ylims like for example

myticks = round.(maximum(signal) .*[0.0, 0.25, 0.5, 0.75, 1.0],sigdigits=2)
Plots.plot(signal, ylims=(0.0, 1.05*maximum(signal)), yticks=myticks, label="signal")

So I guess we could do with that for now.

[isentropic]

I'm not sure what eps() does and maybe we can think about it. I thought that the problem was the data is spaced near float precision