Literate PythonPlot.jl

import PythonPlot as plt
using Random
Random.seed!(2022)

Random.TaskLocalRNG()

plt.figure()
plt.plot(1:5, rand(1:6, 5))
plt.gcf()

PythonPlot.Figure(<py Figure size 640x480 with 1 Axes>)

Runtime information¶

import Pkg
Pkg.status()

Status `~/work/template-juliabook/template-juliabook/Project.toml`
  [682c06a0] JSON v1.3.0
  [98b081ad] Literate v2.21.0
  [1862ce21] MarkdownTables v1.1.0
  [91a5bcdd] Plots v1.41.4
  [274fc56d] PythonPlot v1.0.6
  [bd369af6] Tables v1.12.1
  [ea8e919c] SHA v0.7.0

import InteractiveUtils
InteractiveUtils.versioninfo()

Julia Version 1.12.4
Commit 01a2eadb047 (2026-01-06 16:56 UTC)
Build Info:
  Official https://julialang.org release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 4 × AMD EPYC 7763 64-Core Processor
  WORD_SIZE: 64
  LLVM: libLLVM-18.1.7 (ORCJIT, znver3)
  GC: Built with stock GC
Threads: 2 default, 1 interactive, 2 GC (on 4 virtual cores)
Environment:
  JULIA_CI = true
  JULIA_CONDAPKG_OFFLINE = true
  LD_LIBRARY_PATH = /opt/hostedtoolcache/Python/3.14.2/x64/lib
  JULIA_PROJECT = /home/runner/work/template-juliabook/template-juliabook/Project.toml
  JULIA_DEPOT_PATH = /home/runner/.julia:/opt/hostedtoolcache/julia/1.12.4/x64/local/share/julia:/opt/hostedtoolcache/julia/1.12.4/x64/share/julia
  JULIA_CONDAPKG_BACKEND = Null
  JULIA_NUM_THREADS = 2
  JULIA_LOAD_PATH = @:@v#.#:@stdlib
  JULIA_CPU_TARGET = generic;icelake-server,clone_all;znver3,clone_all
  JULIA_PYTHONCALL_EXE = /opt/hostedtoolcache/Python/3.14.2/x64/bin/python

This notebook was generated using Literate.jl.