Incompatibility with matplotlib v3.9.0

[fgittins]

Issue

The most recent version of matplotlib (v3.9.0) released on May 16 is incompatible with PythonPlot.jl.

Minimal reproducible example

In a directory with no .CondaPkg/, I run

using PythonPlot

and encounter the following error:

ERROR: InitError: Python: AttributeError: module 'matplotlib.cm' has no attribute 'get_cmap'
Python stacktrace: none
Stacktrace:
  [1] pythrow()
    @ PythonCall.Core ~/.julia/packages/PythonCall/S5MOg/src/Core/err.jl:92
  [2] errcheck
    @ ~/.julia/packages/PythonCall/S5MOg/src/Core/err.jl:10 [inlined]
  [3] pygetattr(x::PythonCall.Core.Py, k::String)
    @ PythonCall.Core ~/.julia/packages/PythonCall/S5MOg/src/Core/builtins.jl:62
  [4] getproperty
    @ ~/.julia/packages/PythonCall/S5MOg/src/Core/Py.jl:257 [inlined]
  [5] init_colormaps()
    @ PythonPlot ~/.julia/packages/PythonPlot/KcWMF/src/colormaps.jl:51
  [6] __init__()
    @ PythonPlot ~/.julia/packages/PythonPlot/KcWMF/src/init.jl:180
  [7] run_module_init(mod::Module, i::Int64)
    @ Base ./loading.jl:1134
  [8] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String)
    @ Base ./loading.jl:1122
  [9] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::String, depmods::Vector{Any})
    @ Base ./loading.jl:1067
 [10] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128)
    @ Base ./loading.jl:1581
 [11] _require(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:1938
 [12] __require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:1812
 [13] #invoke_in_world#3
    @ ./essentials.jl:926 [inlined]
 [14] invoke_in_world
    @ ./essentials.jl:923 [inlined]
 [15] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:1803
 [16] macro expansion
    @ ./loading.jl:1790 [inlined]
 [17] macro expansion
    @ ./lock.jl:267 [inlined]
 [18] __require(into::Module, mod::Symbol)
    @ Base ./loading.jl:1753
 [19] #invoke_in_world#3
    @ ./essentials.jl:926 [inlined]
 [20] invoke_in_world
    @ ./essentials.jl:923 [inlined]
 [21] require(into::Module, mod::Symbol)
    @ Base ./loading.jl:1746
during initialization of module PythonPlot

Environment

In this demonstration, I used a clean environment with

  [274fc56d] PythonPlot v1.0.3

and its dependencies

  [3da002f7] ColorTypes v0.11.5
  [5ae59095] Colors v0.12.11
  [992eb4ea] CondaPkg v0.2.22
  [9a962f9c] DataAPI v1.16.0
  [e2d170a0] DataValueInterfaces v1.0.0
  [53c48c17] FixedPointNumbers v0.8.5
  [82899510] IteratorInterfaceExtensions v1.0.0
  [692b3bcd] JLLWrappers v1.5.0
  [0f8b85d8] JSON3 v1.14.0
  [b964fa9f] LaTeXStrings v1.3.1
  [1914dd2f] MacroTools v0.5.13
  [0b3b1443] MicroMamba v0.1.14
  [bac558e1] OrderedCollections v1.6.3
  [69de0a69] Parsers v2.8.1
  [fa939f87] Pidfile v1.3.0
  [aea7be01] PrecompileTools v1.2.1
  [21216c6a] Preferences v1.4.3
  [6099a3de] PythonCall v0.9.20
  [274fc56d] PythonPlot v1.0.3
  [189a3867] Reexport v1.2.2
  [ae029012] Requires v1.3.0
  [6c6a2e73] Scratch v1.2.1
  [856f2bd8] StructTypes v1.10.0
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.11.1
  [e17b2a0c] UnsafePointers v1.0.0
  [81def892] VersionParsing v1.3.0
  [f8abcde7] micromamba_jll v1.5.8+0
  [0dad84c5] ArgTools v1.1.1
  [56f22d72] Artifacts
  [2a0f44e3] Base64
  [ade2ca70] Dates
  [f43a241f] Downloads v1.6.0
  [7b1f6079] FileWatching
  [b77e0a4c] InteractiveUtils
  [4af54fe1] LazyArtifacts
  [b27032c2] LibCURL v0.6.4
  [76f85450] LibGit2
  [8f399da3] Libdl
  [37e2e46d] LinearAlgebra
  [56ddb016] Logging
  [d6f4376e] Markdown
  [a63ad114] Mmap
  [ca575930] NetworkOptions v1.2.0
  [44cfe95a] Pkg v1.10.0
  [de0858da] Printf
  [3fa0cd96] REPL
  [9a3f8284] Random
  [ea8e919c] SHA v0.7.0
  [9e88b42a] Serialization
  [6462fe0b] Sockets
  [2f01184e] SparseArrays v1.10.0
  [10745b16] Statistics v1.10.0
  [fa267f1f] TOML v1.0.3
  [a4e569a6] Tar v1.10.0
  [8dfed614] Test
  [cf7118a7] UUIDs
  [4ec0a83e] Unicode
  [e66e0078] CompilerSupportLibraries_jll v1.1.1+0
  [deac9b47] LibCURL_jll v8.4.0+0
  [e37daf67] LibGit2_jll v1.6.4+0
  [29816b5a] LibSSH2_jll v1.11.0+1
  [c8ffd9c3] MbedTLS_jll v2.28.2+1
  [14a3606d] MozillaCACerts_jll v2023.1.10
  [4536629a] OpenBLAS_jll v0.3.23+4
  [bea87d4a] SuiteSparse_jll v7.2.1+1
  [83775a58] Zlib_jll v1.2.13+1
  [8e850b90] libblastrampoline_jll v5.8.0+1
  [8e850ede] nghttp2_jll v1.52.0+1
  [3f19e933] p7zip_jll v17.4.0+2

Solution

An obvious, quick solution to this is to restrict matplotlib's version in the CondaPkg.toml.

[stevengj]

Should be fixed by #38

[stevengj]

Closed by new version: JuliaRegistries/General#110255

[fgittins]

Thanks!