Saving shrinked version of color bar in heatmap leads to saving the unshrinked version [BUG]

[shayandavoodii]

Details

Plotting a heatmap plot:

using DataFrames, Plots, Statistics, RDatasets

iris_df = dataset("datasets", "iris")
cor_mat = cor(Matrix(iris_df[:, 1:4]), dims=1)
col_names = names(iris_df)[1:end-1]
heatmap(
  col_names, col_names, cor_mat,
  rightmargin=20Plots.mm,
  leftmargin=10Plots.mm,
  aspect_ratio=:equal,
  size=(700, 700),
  title="Correlation heatmap between 4 features of the Iris dataset",
  xlabel="Features", ylabel="Features",
  colorbar_title="Correlation",
  color=:bluesreds,
  framestyle=:box,
  titlefont=font(12)
)
plot!(dpi=200)
savefig("cor.png")

Leads to

Then I tried to shrink the color bar length to fit the plot. So first, I began with changing the backend to pyplot and pythonplot and moving the dpi into the heatmap function:

pyplot()

heatmap(
  col_names, col_names, cor_mat,
  rightmargin=20Plots.mm,
  leftmargin=10Plots.mm,
  aspect_ratio=:equal,
  size=(700, 700),
  title="Correlation heatmap between 4 features of the Iris dataset",
  xlabel="Features", ylabel="Features",
  colorbar_title="Correlation",
  color=:bluesreds,
  framestyle=:box,
  titlefont=font(12),
  dpi=300
)

savefig("cor.png")

And in the VSCode plot pane, it shows:

But the result of savefig is the same as unshrinked version!! :D

Backends

This bug occurs on ( insert x below )

Backend	yes	no	untested
gr (default)
pythonplot	x
plotlyjs
pgfplotsx
unicodeplots
inspectdr
gaston
pyplot	x

Versions

Plots.jl version: 1.37.2
Backend version (]st -m <backend(s)>):

(@v1.8) pkg> st -m PyPlot PythonPlot GR
Status `C:\Users\Shayan\.julia\environments\v1.8\Manifest.toml`
  [28b8d3ca] GR v0.71.1
  [d330b81b] PyPlot v2.11.0
  [274fc56d] PythonPlot v1.0.0

Output of versioninfo():

julia> versioninfo()
Julia Version 1.8.3
Commit 0434deb161 (2022-11-14 20:14 UTC)
Platform Info:
  OS: Windows (x86_64-w64-mingw32)
  CPU: 8 × Intel(R) Core(TM) i7-4800MQ CPU @ 2.70GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-13.0.1 (ORCJIT, haswell)
  Threads: 8 on 8 virtual cores
Environment:
  JULIA_CONDAPKG_BACKEND = Null
  JULIA_PYTHONCALL_EXE = C:\Users\Shayan\AppData\Local\Programs\Python\Python310\python.exe
  JULIA_EDITOR = code

[BioTurboNick]

I think the colorbar always takes up as much height as it can. You could achieve what you want by just reducing the height of the plot.

But for this issue specifically, I suppose the layout code is different for some reason depending on the display device? Not sure if that's a backend issue or a Plots issue.

[shayandavoodii]

I think the colorbar always takes up as much height as it can. You could achieve what you want by just reducing the height of the plot.

But for this issue specifically, I suppose the layout code is different for some reason depending on the display device? Not sure if that's a backend issue or a Plots issue.

Hi, thanks.
Issue solved by setting lims=(0,4) in the heatmap function.