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12
.JuliaFormatter.toml
Normal file
@ -0,0 +1,12 @@
|
||||
always_for_in = true
|
||||
import_to_using = false
|
||||
align_pair_arrow = true
|
||||
align_assignment = true
|
||||
align_conditional = true
|
||||
always_use_return = false
|
||||
conditional_to_if = false
|
||||
whitespace_in_kwargs = true
|
||||
remove_extra_newlines = true
|
||||
whitespace_ops_in_indices = true
|
||||
short_to_long_function_def = false
|
||||
annotate_untyped_fields_with_any = false
|
||||
6
.gitattributes
vendored
Normal file
@ -0,0 +1,6 @@
|
||||
# Set default behaviour to automatically normalize line endings.
|
||||
* text=auto
|
||||
|
||||
# Force bash scripts to always use lf line endings so that if a repo is accessed
|
||||
# in Unix via a file share from Windows, the scripts will work.
|
||||
*.sh text eol=lf
|
||||
33
.github/ISSUE_TEMPLATE/bug.md
vendored
Normal file
@ -0,0 +1,33 @@
|
||||
---
|
||||
name: Bug report
|
||||
about: Create a bug report
|
||||
title: "[BUG]"
|
||||
labels: bug
|
||||
assignees: ''
|
||||
|
||||
---
|
||||
|
||||
<!-- Please search existing issues to avoid duplicates. -->
|
||||
|
||||
## Details
|
||||
|
||||
|
||||
### Backends
|
||||
|
||||
This bug occurs on ( insert `x` below )
|
||||
|
||||
Backend | yes | no | untested
|
||||
-------------|-----|-----|---------
|
||||
gr (default) | | |
|
||||
pyplot | | |
|
||||
plotlyjs | | |
|
||||
pgfplotsx | | |
|
||||
unicodeplots | | |
|
||||
inspectdr | | |
|
||||
gaston | | |
|
||||
|
||||
### Versions
|
||||
|
||||
Plots.jl version:
|
||||
Backend version (`]st -m <backend(s)>`):
|
||||
Output of `versioninfo()`:
|
||||
10
.github/ISSUE_TEMPLATE/feature request.md
vendored
Normal file
@ -0,0 +1,10 @@
|
||||
---
|
||||
name: Feature request
|
||||
about: Suggest a feature or enhancement
|
||||
title: "[FR]"
|
||||
labels: feature request
|
||||
assignees: ''
|
||||
|
||||
---
|
||||
|
||||
Please search existing issues to avoid duplicates.
|
||||
17
.github/workflows/CompatHelper.yml
vendored
Normal file
@ -0,0 +1,17 @@
|
||||
name: CompatHelper
|
||||
|
||||
on:
|
||||
schedule:
|
||||
- cron: '00 00 * * *'
|
||||
|
||||
jobs:
|
||||
CompatHelper:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Pkg.add("CompatHelper")
|
||||
run: julia -e 'using Pkg; Pkg.add("CompatHelper")'
|
||||
- name: CompatHelper.main()
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
COMPATHELPER_PRIV: ${{ secrets.COMPATHELPER_PRIV }} # optional
|
||||
run: julia -e 'using CompatHelper; CompatHelper.main()'
|
||||
108
.github/workflows/SnoopCompile.yml
vendored
Normal file
@ -0,0 +1,108 @@
|
||||
# NOTE: this file should be named 'SnoopCompile.yml', cf github.com/aminya/CompileBot.jl/blob/master/src/CompileBot.jl#L57
|
||||
|
||||
name: SnoopCompile
|
||||
|
||||
on:
|
||||
push:
|
||||
branches:
|
||||
- master # NOTE: to run the bot only on pushes to master
|
||||
|
||||
defaults:
|
||||
run:
|
||||
shell: bash
|
||||
|
||||
jobs:
|
||||
SnoopCompile:
|
||||
if: "!contains(github.event.head_commit.message, '[skip ci]')"
|
||||
env:
|
||||
GKS_ENCODING: "utf8"
|
||||
GKSwstype: "nul"
|
||||
PLOTS_TEST: "true"
|
||||
runs-on: ${{matrix.os}}
|
||||
continue-on-error: ${{ matrix.version == '~1.8.0-0' }}
|
||||
strategy:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
version: # NOTE: the versions below should match those in your botconfig
|
||||
- '1.6' # ⎤
|
||||
- '1.7' # |
|
||||
- '~1.8.0-0' # |
|
||||
# - 'nightly' # ⎦ <<< keep these versions in sync with deps/SnoopCompile/snoop_bot_config.jl
|
||||
# ^^^^^^^^^ for 'nightly', see github.com/JuliaPlots/Plots.jl/issues/4079
|
||||
os: # NOTE: should match the os setting of your botconfig
|
||||
- ubuntu-latest
|
||||
arch:
|
||||
- x64
|
||||
steps:
|
||||
# Setup environment
|
||||
- uses: actions/checkout@v2
|
||||
- uses: julia-actions/setup-julia@latest
|
||||
with:
|
||||
version: ${{matrix.version}}
|
||||
|
||||
- name: Set Swap Space
|
||||
uses: pierotofy/set-swap-space@master
|
||||
with:
|
||||
swap-size-gb: 10 # required (not enough memory on github actions virtual machine)
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
cat /proc/cpuinfo
|
||||
cat /proc/meminfo
|
||||
cat /proc/swaps
|
||||
free
|
||||
df -h
|
||||
julia --project -e 'using Pkg; Pkg.instantiate()'
|
||||
julia -e 'using Pkg; Pkg.add(PackageSpec(name="CompileBot", version="1")); Pkg.develop(PackageSpec(; path=pwd())); using CompileBot; CompileBot.addtestdep()'
|
||||
|
||||
# TESTCMD
|
||||
- name: Default TESTCMD
|
||||
run: echo "TESTCMD=julia" >> $GITHUB_ENV
|
||||
- name: Ubuntu TESTCMD
|
||||
if: startsWith(matrix.os,'ubuntu')
|
||||
run: echo "TESTCMD=xvfb-run --auto-servernum julia" >> $GITHUB_ENV
|
||||
|
||||
# Generate precompile files
|
||||
- name: Generating precompile files
|
||||
run: $TESTCMD --project -e 'include("deps/SnoopCompile/snoop_bot.jl")' # NOTE: must match path
|
||||
|
||||
# Run benchmarks
|
||||
- name: Running Benchmark
|
||||
run: $TESTCMD --project -e 'include("deps/SnoopCompile/snoop_bench.jl")' # NOTE: optional, if have benchmark file
|
||||
|
||||
- name: Upload all
|
||||
uses: actions/upload-artifact@v2.0.1
|
||||
with:
|
||||
path: ./
|
||||
|
||||
Create_PR:
|
||||
if: "!contains(github.event.head_commit.message, '[skip ci]')"
|
||||
needs: SnoopCompile
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v2
|
||||
- name: Download all
|
||||
uses: actions/download-artifact@v2
|
||||
|
||||
- name: CompileBot postprocess
|
||||
run: |
|
||||
if ! grep -m1 -q 'format: off' artifact/src/precompile_includer.jl; then sed -i '1 i\#! format: off' artifact/src/precompile_includer.jl; fi
|
||||
julia -e 'using Pkg; Pkg.add(PackageSpec(name="CompileBot", version="1")); using CompileBot; CompileBot.postprocess()'
|
||||
|
||||
- name: Create Pull Request
|
||||
uses: peter-evans/create-pull-request@v3
|
||||
with:
|
||||
token: ${{ secrets.GITHUB_TOKEN }}
|
||||
commit-message: Update precompile_*.jl file [skip ci]
|
||||
title: "[AUTO] Update precompiles [skip ci]"
|
||||
labels: |
|
||||
SnoopCompile
|
||||
no changelog
|
||||
branch: "Test_SnoopCompile_AutoPR_${{ github.ref }}"
|
||||
|
||||
Skip:
|
||||
if: "contains(github.event.head_commit.message, '[skip ci]')"
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Skip CI 🚫
|
||||
run: echo skip ci
|
||||
15
.github/workflows/TagBot.yml
vendored
Normal file
@ -0,0 +1,15 @@
|
||||
name: TagBot
|
||||
on:
|
||||
issue_comment:
|
||||
types:
|
||||
- created
|
||||
workflow_dispatch:
|
||||
jobs:
|
||||
TagBot:
|
||||
if: github.event_name == 'workflow_dispatch' || github.actor == 'JuliaTagBot'
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: JuliaRegistries/TagBot@v1
|
||||
with:
|
||||
token: ${{ secrets.GITHUB_TOKEN }}
|
||||
ssh: ${{ secrets.TAGBOT_KEY }}
|
||||
31
.github/workflows/benchmark.yml
vendored
Normal file
@ -0,0 +1,31 @@
|
||||
name: benchmarks
|
||||
|
||||
on:
|
||||
pull_request:
|
||||
|
||||
jobs:
|
||||
Benchmark:
|
||||
if: "!contains(github.event.head_commit.message, '[skip ci]')"
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v2
|
||||
- uses: julia-actions/setup-julia@latest
|
||||
with:
|
||||
version: '1.7'
|
||||
|
||||
# Setup
|
||||
- name: Ubuntu TESTCMD
|
||||
run: echo "TESTCMD=xvfb-run --auto-servernum julia" >> $GITHUB_ENV
|
||||
- name: Install Plots dependencies
|
||||
uses: julia-actions/julia-buildpkg@latest
|
||||
- name: Install Benchmarking dependencies
|
||||
run: julia -e 'using Pkg; pkg"add PkgBenchmark BenchmarkCI@0.1"'
|
||||
|
||||
- name: Run benchmarks
|
||||
run: $TESTCMD -e 'using BenchmarkCI; BenchmarkCI.judge()'
|
||||
- name: Print judgement
|
||||
run: julia -e 'using BenchmarkCI; BenchmarkCI.displayjudgement()'
|
||||
- name: Post results
|
||||
run: julia -e 'using BenchmarkCI; BenchmarkCI.postjudge()'
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
93
.github/workflows/ci.yml
vendored
Normal file
@ -0,0 +1,93 @@
|
||||
name: ci
|
||||
|
||||
on:
|
||||
push:
|
||||
branches:
|
||||
- master
|
||||
pull_request:
|
||||
|
||||
defaults:
|
||||
run:
|
||||
shell: bash
|
||||
|
||||
jobs:
|
||||
CI:
|
||||
if: "!contains(github.event.head_commit.message, '[skip ci]')"
|
||||
env:
|
||||
GKS_ENCODING: "utf8"
|
||||
GKSwstype: "nul"
|
||||
|
||||
name: Julia ${{ matrix.version }} - ${{ matrix.os }}
|
||||
runs-on: ${{ matrix.os }}
|
||||
continue-on-error: ${{ matrix.version == 'nightly' }}
|
||||
strategy:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
version:
|
||||
- '1.6' # LTS
|
||||
- '1.7' # latest stable
|
||||
os:
|
||||
- ubuntu-latest
|
||||
- windows-latest
|
||||
- macos-latest
|
||||
arch:
|
||||
- x64
|
||||
# - x86
|
||||
include:
|
||||
- version: 'nightly'
|
||||
os: ubuntu-latest
|
||||
|
||||
steps:
|
||||
# Setup environment
|
||||
- uses: actions/checkout@v2
|
||||
- uses: julia-actions/setup-julia@latest
|
||||
with:
|
||||
version: ${{ matrix.version }}
|
||||
- name: Cache artifacts
|
||||
uses: actions/cache@v1
|
||||
env:
|
||||
cache-name: cache-artifacts
|
||||
with:
|
||||
path: ~/.julia/artifacts
|
||||
key: ${{ runner.os }}-test-${{ env.cache-name }}-${{ hashFiles('**/Project.toml') }}
|
||||
restore-keys: |
|
||||
${{ runner.os }}-test-${{ env.cache-name }}-
|
||||
${{ runner.os }}-test-
|
||||
${{ runner.os }}-
|
||||
|
||||
# TESTCMD
|
||||
- name: Default TESTCMD
|
||||
run: echo "TESTCMD=julia" >> $GITHUB_ENV
|
||||
- name: Ubuntu TESTCMD
|
||||
if: startsWith(matrix.os,'ubuntu')
|
||||
run: |
|
||||
echo "TESTCMD=xvfb-run --auto-servernum julia" >> $GITHUB_ENV
|
||||
sudo apt-get -y update
|
||||
sudo apt-get -y install gnuplot poppler-utils texlive-{latex-base,latex-extra,luatex}
|
||||
sudo fc-cache -vr
|
||||
|
||||
# Julia Dependencies
|
||||
- name: Install Julia dependencies
|
||||
uses: julia-actions/julia-buildpkg@latest
|
||||
|
||||
# Run tests
|
||||
- name: Run Graphical test
|
||||
run: |
|
||||
$TESTCMD --project -e 'using Pkg; Pkg.test(coverage=true)'
|
||||
$TESTCMD -e 'using Pkg; Pkg.activate(tempdir()); Pkg.develop(path=abspath(".")); Pkg.add("StatsPlots"); Pkg.test("StatsPlots")'
|
||||
$TESTCMD -e 'using Pkg; Pkg.activate(tempdir()); Pkg.develop(path=abspath(".")); Pkg.add("GraphRecipes"); Pkg.test("GraphRecipes")'
|
||||
|
||||
# Codecov
|
||||
- uses: julia-actions/julia-processcoverage@v1
|
||||
if: startsWith(matrix.os,'ubuntu')
|
||||
- uses: codecov/codecov-action@v2
|
||||
if: startsWith(matrix.os,'ubuntu')
|
||||
with:
|
||||
file: lcov.info
|
||||
|
||||
Skip:
|
||||
if: "contains(github.event.head_commit.message, '[skip ci]')"
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Skip CI 🚫
|
||||
run: echo skip ci
|
||||
34
.github/workflows/docs.yml
vendored
Normal file
@ -0,0 +1,34 @@
|
||||
name: docs
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
push:
|
||||
branches:
|
||||
- master
|
||||
tags: '*'
|
||||
|
||||
jobs:
|
||||
Build_docs:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v2
|
||||
with:
|
||||
repository: JuliaPlots/PlotDocs.jl
|
||||
- uses: julia-actions/setup-julia@v1
|
||||
- name: Cache artifacts
|
||||
uses: actions/cache@v1
|
||||
env:
|
||||
cache-name: cache-artifacts
|
||||
with:
|
||||
path: ~/.julia/artifacts
|
||||
key: ${{runner.os}}-test-${{env.cache-name}}-${{hashFiles('**/Project.toml')}}
|
||||
restore-keys: |
|
||||
${{runner.os}}-test-${{env.cache-name}}-
|
||||
${{runner.os}}-test-
|
||||
${{runner.os}}-
|
||||
- name: Build documentation
|
||||
env:
|
||||
PYTHON: ""
|
||||
DOCUMENTER_KEY: ${{secrets.DOCUMENTER_KEY}}
|
||||
GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}
|
||||
run: bash docs/ci_build.sh
|
||||
54
.github/workflows/format_check.yml
vendored
Normal file
@ -0,0 +1,54 @@
|
||||
name: format
|
||||
|
||||
on:
|
||||
pull_request:
|
||||
push:
|
||||
branches:
|
||||
- 'master'
|
||||
|
||||
jobs:
|
||||
code-style:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v2
|
||||
- uses: julia-actions/setup-julia@v1
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
using Pkg
|
||||
Pkg.add([
|
||||
PackageSpec("JuliaFormatter"),
|
||||
PackageSpec(url = "https://github.com/tkf/JuliaProjectFormatter.jl.git"),
|
||||
])
|
||||
shell: julia --color=yes {0}
|
||||
|
||||
- name: Format Julia files
|
||||
run: |
|
||||
using JuliaFormatter
|
||||
format(["src", "test"])
|
||||
shell: julia --color=yes --compile=min -O0 {0}
|
||||
- name: suggester / JuliaFormatter
|
||||
uses: reviewdog/action-suggester@v1
|
||||
with:
|
||||
tool_name: JuliaFormatter
|
||||
fail_on_error: true
|
||||
|
||||
# reviewdog/action-suggester not using `cleanup` flag?
|
||||
- name: Cleanup
|
||||
if: success() || failure()
|
||||
run: |
|
||||
git checkout -- .
|
||||
git clean --force
|
||||
shell: bash
|
||||
|
||||
- name: Format Julia project files
|
||||
if: success() || failure()
|
||||
run: |
|
||||
using JuliaProjectFormatter
|
||||
format_projects()
|
||||
shell: julia --color=yes --compile=min -O0 {0}
|
||||
- name: suggester / JuliaProjectFormatter
|
||||
if: success() || failure()
|
||||
uses: reviewdog/action-suggester@v1
|
||||
with:
|
||||
tool_name: JuliaProjectFormatter
|
||||
fail_on_error: true
|
||||
35
.github/workflows/format_pr.yml
vendored
Normal file
@ -0,0 +1,35 @@
|
||||
name: format
|
||||
|
||||
on:
|
||||
schedule:
|
||||
- cron: '0 0 1 * *'
|
||||
|
||||
jobs:
|
||||
pr:
|
||||
if: "!contains(github.event.head_commit.message, '[skip ci]')"
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v2
|
||||
- name: Install JuliaFormatter and format
|
||||
run: |
|
||||
julia -e 'using Pkg; Pkg.add(PackageSpec(name="JuliaFormatter"))'
|
||||
julia -e 'using JuliaFormatter; [format(["src", "test"]) for _ in 1:2]'
|
||||
git diff --exit-code
|
||||
|
||||
- name: Create Pull Request
|
||||
if: ${{ failure() }}
|
||||
id: cpr
|
||||
uses: peter-evans/create-pull-request@v3
|
||||
with:
|
||||
token: ${{ secrets.GITHUB_TOKEN }}
|
||||
commit-message: "Format .jl files [skip ci]"
|
||||
title: 'Automatic JuliaFormatter.jl run'
|
||||
branch: auto-juliaformatter-pr
|
||||
delete-branch: true
|
||||
labels: formatting, automated pr, no changelog
|
||||
|
||||
- name: Check outputs
|
||||
if: ${{ failure() }}
|
||||
run: |
|
||||
echo "Pull Request Number - ${{ steps.cpr.outputs.pull-request-number }}"
|
||||
echo "Pull Request URL - ${{ steps.cpr.outputs.pull-request-url }}"
|
||||
13
.gitignore
vendored
@ -1,4 +1,15 @@
|
||||
*.jl.cov
|
||||
*.jl.*.cov
|
||||
*.jl.mem
|
||||
.DS_Store
|
||||
.DS_Store
|
||||
examples/.ipynb_checkpoints/*
|
||||
examples/meetup/.ipynb_checkpoints/*
|
||||
deps/plotly-*
|
||||
deps/build.log
|
||||
deps/deps.jl
|
||||
Manifest.toml
|
||||
dev/
|
||||
test/tmpplotsave.hdf5
|
||||
/.benchmarkci
|
||||
/benchmark/*.json
|
||||
.vscode/
|
||||
|
||||
13
.travis.yml
@ -1,13 +0,0 @@
|
||||
# Documentation: http://docs.travis-ci.com/user/languages/julia/
|
||||
language: julia
|
||||
os:
|
||||
- linux
|
||||
- osx
|
||||
julia:
|
||||
- 0.4
|
||||
notifications:
|
||||
email: false
|
||||
# uncomment the following lines to override the default test script
|
||||
script:
|
||||
- if [[ -a .git/shallow ]]; then git fetch --unshallow; fi
|
||||
- julia -e 'Pkg.clone(pwd()); Pkg.build("Plots"); Pkg.add("Gadfly"); Pkg.test("Plots"; coverage=true)'
|
||||
722
.zenodo.json
Normal file
@ -0,0 +1,722 @@
|
||||
{
|
||||
"title": "Plots.jl",
|
||||
"license": "MIT",
|
||||
"creators": [
|
||||
{
|
||||
"affiliation": "Headlands Technologies",
|
||||
"name": "Tom Breloff"
|
||||
}
|
||||
],
|
||||
"contributors":[
|
||||
{
|
||||
"affiliation": "TU Wien",
|
||||
"name": "Daniel Schwabeneder",
|
||||
"orcid": "0000-0002-0412-0777",
|
||||
"type": "ProjectLeader"
|
||||
},
|
||||
{
|
||||
"affiliation": "GLOBE Institute, University of Copenhagen",
|
||||
"name": "Michael Krabbe Borregaard",
|
||||
"orcid": "0000-0002-8146-8435",
|
||||
"type": "ProjectLeader"
|
||||
},
|
||||
{
|
||||
"affiliation": "Leibniz Universit\u00e4t Hannover",
|
||||
"name": "Simon Christ",
|
||||
"orcid": "0000-0002-5866-1472",
|
||||
"type": "ProjectLeader"
|
||||
},
|
||||
{
|
||||
"affiliation": "Forschungszentrum J\u00fclich",
|
||||
"name": "Josef Heinen",
|
||||
"orcid": "0000-0001-6509-1925",
|
||||
"type": "ProjectMember"
|
||||
},
|
||||
{
|
||||
"name": "Yuval",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Andrew Palugniok",
|
||||
"type": "ProjectMember"
|
||||
},
|
||||
{
|
||||
"affiliation": "@beacon-biosignals",
|
||||
"name": "Simon Danisch",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"affiliation": "Veos Digital (https://veos.digital/)",
|
||||
"name": "Pietro Vertechi",
|
||||
"type": "ProjectMember"
|
||||
},
|
||||
{
|
||||
"affiliation": "Korea Advanced Inst. of Science and Technology (KAIST)",
|
||||
"name": "Zhanibek Omarov",
|
||||
"type": "ProjectMember",
|
||||
"orcid": "0000-0002-8783-8791"
|
||||
},
|
||||
{
|
||||
"name": "Thatcher Chamberlin",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@ma-laforge",
|
||||
"type": "ProjectMember"
|
||||
},
|
||||
{
|
||||
"affiliation": "Massachusetts Institute of Technology",
|
||||
"name": "Christopher Rackauckas",
|
||||
"orcid": "0000-0001-5850-0663",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"affiliation": "Max Planck Institute for Physics",
|
||||
"name": "Oliver Schulz",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"affiliation": "@JuliaComputing",
|
||||
"name": "Sebastian Pfitzner",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Takafumi Arakaki",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"affiliation": "University of Manitoba",
|
||||
"name": "Amin Yahyaabadi",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Jack Devine",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Sebastian Pech",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"affiliation": "@JuliaComputing",
|
||||
"name": "Patrick Kofod Mogensen",
|
||||
"type": "Other",
|
||||
"orcid": "0000-0002-4910-1932"
|
||||
},
|
||||
{
|
||||
"name": "Samuel S. Watson",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"affiliation": "UC Davis",
|
||||
"name": "Naoki Saito",
|
||||
"orcid": "0000-0001-5234-4719",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"affiliation": "University of Southern California (USC)",
|
||||
"name": "Benoit Pasquier",
|
||||
"orcid": "0000-0002-3838-5976",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"affiliation": "NTNU Trondheim",
|
||||
"name": "Ronny Bergmann",
|
||||
"orcid": "0000-0001-8342-7218",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Andy Nowacki",
|
||||
"affiliation": "University of Leeds",
|
||||
"orcid": "0000-0001-7669-7383",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Ian Butterworth",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"affiliation": "Lund University",
|
||||
"name": "David Gustavsson",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Anshul Singhvi",
|
||||
"affiliation": "Columbia University",
|
||||
"orcid": "0000-0001-6055-1291",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "david-macmahon",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Fredrik Ekre",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Maaz Bin Tahir Saeed",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Kristoffer Carlsson",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Will Kearney",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Niklas Korsbo",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Miles Lucas",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@Godisemo",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Florian Oswald",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Diego Javier Zea",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@WillRam",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Fedor Bezrukov",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Spencer Lyon",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Darwin Darakananda",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Lukas Hauertmann",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Huckleberry Febbo",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@H-M-H",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Josh Day",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@wfgra",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Sheehan Olver",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Jerry Ling",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Jks Liu",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Seth Axen",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@o01eg",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Sebastian Micluța-Câmpeanu",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Tim Holy",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Tony Kelman",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Antoine Levitt",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Iblis Lin",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Harry Scholes",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@djsegal",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Goran Nakerst",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Felix Hagemann",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Matthieu Gomez",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@biggsbiggsby",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Jonathan Anderson",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Michael Kraus",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Carlo Lucibello",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Robin Deits",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Misha Mkhasenko",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Benoît Legat",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Steven G. Johnson",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "John Verzani",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Mattias Fält",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Rashika Karki",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Morten Piibeleht",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Filippo Vicentini",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "David Anthoff",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Leon Wabeke",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Yusuke Kominami",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Oscar Dowson",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Max G",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Fabian Greimel",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Jérémy",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Pearl Li",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "David P. Sanders",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Asbjørn Nilsen Riseth",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Jan Weidner",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@jakkor2",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Pablo Zubieta",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Hamza Yusuf Çakır",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "John Rinehart",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Martin Biel",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Moritz Schauer",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Mosè Giodano",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@olegshtch",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Leon Shen",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Jeff Fessler",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@hustf",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Asim H Dar",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@8uurg",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Abel Siqueira",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Adrian Dawid",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Alberto Lusiani",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Balázs Mezei",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Ben Ide",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Benjamin Lungwitz",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"affiliation": "University of Graz",
|
||||
"name": "Bernd Riederer",
|
||||
"type": "Other",
|
||||
"orcid": "0000-0001-8390-0087"
|
||||
},
|
||||
{
|
||||
"name": "Christina Lee",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Christof Stocker",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Christoph Finkensiep",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@Cornelius-G",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Daniel Høegh",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Denny Biasiolli",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Dieter Castel",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Elliot Saba",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Fengyang Wang",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Fons van der Plas",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Fredrik Bagge Carlson",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Graham Smith",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Hayato Ikoma",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Hessam Mehr",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@InfiniteChai",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Jack Dunn",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Jeff Bezanson",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Jeff Eldredge",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Jinay Jain",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Johan Blåbäck",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@jmert",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Lakshya Khatri",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Lia Siegelmann",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@marekkukan-tw",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"affiliation": "ETH Zurich",
|
||||
"name": "Mauro Werder",
|
||||
"type": "Other",
|
||||
"orcid": "0000-0003-0137-9377"
|
||||
},
|
||||
{
|
||||
"name": "Maxim Grechkin",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Michael Cawte",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@milesfrain",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Nicholas Bauer",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Nicolau Leal Werneck",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@nilshg",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Oliver Evans",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Peter Gagarinov",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Páll Haraldsson",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Rik Huijzer",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Romain Franconville",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Ronan Pigott",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Roshan Shariff",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Scott Thomas",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Sebastian Rollén",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Seth Bromberger",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Siva Swaminathan",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Tim DuBois",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Travis DePrato",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Will Thompson",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Yakir Luc Gagnon",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Benjamin Chislett",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@hhaensel",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@improbable22",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Johannes Fleck",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Peter Czaban",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@innerlee",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Mats Cronqvist",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Shi Pengcheng",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@wg030",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"affiliation": "University of Cambridge",
|
||||
"name": "Will Tebbutt",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "@t-bltg",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Fred Callaway",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Jan Thorben Schneider",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"orcid": "0000-0003-4102-2460",
|
||||
"affiliation": "Alogus Research Corporation",
|
||||
"name": "Lee Phillips",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Tom Gillam",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Steve Leung",
|
||||
"type": "Other"
|
||||
},
|
||||
{
|
||||
"name": "Xu Zhi-Yuan",
|
||||
"type": "Other"
|
||||
}
|
||||
],
|
||||
"upload_type": "software"
|
||||
}
|
||||
824
NEWS.md
Normal file
@ -0,0 +1,824 @@
|
||||
|
||||
# Plots.jl NEWS
|
||||
|
||||
#### notes on release changes, ongoing development, and future planned work
|
||||
|
||||
## NOTE: this file is deprecated, see the [TagBot](https://github.com/marketplace/actions/julia-tagbot) auto-generated changelogs instead
|
||||
|
||||
## 0.28.3
|
||||
- support generalized array interface
|
||||
- save to pdf, svg and eps in plotlyjs
|
||||
- fix for clims in line_z
|
||||
- optimize heatmap logic in gr
|
||||
|
||||
## 0.26.3
|
||||
- fix `vline` with dates
|
||||
- fix PyPlot logscale bug
|
||||
- avoid annotation clipping for PyPlot
|
||||
- allow plotting of Any vectors and 3D plotting again in convertToAnyVector
|
||||
- specify legend title font in GR and PyPlot
|
||||
- delete `pushtomaster.sh`
|
||||
- use `=== nothing`
|
||||
|
||||
## 0.26.2
|
||||
- improve empty animation build error
|
||||
- fix GR axis flip for heatmaps and images
|
||||
- fix ribbons specified as tuples
|
||||
- add Char recipe
|
||||
- fix Plotly plots with single-element series
|
||||
- rewrite PlotlyJS backend
|
||||
|
||||
## 0.26.1
|
||||
- handle `Char`s as input data
|
||||
- fix html saving for Plotly
|
||||
- expand ~ in paths on UNIX systems
|
||||
- convertToAnyVector clean-up
|
||||
- fix color_palette grouping issue
|
||||
|
||||
## 0.26.0
|
||||
- use FFMPEG.jl
|
||||
- add missing method for convertToAnyVector
|
||||
|
||||
## 0.25.3
|
||||
- add areaplot
|
||||
- allow missing in z_color arguments
|
||||
- more general tuple recipe
|
||||
- stephist logscale improvements
|
||||
|
||||
## 0.25.2
|
||||
- improvements to handle missings
|
||||
- pyplot: allow setting the color gradient for z values
|
||||
- document :colorbar_entry
|
||||
- limit number of automatic bins
|
||||
- fix ENV['PLOTS_DEFAULT_BACKEND']
|
||||
- don't let aspect_ratio impact subplot size
|
||||
- implement arrowstyle for GR
|
||||
- fix bug in plotly_convert_to_datetime
|
||||
- improve missing support
|
||||
- gr: polar heatmaps
|
||||
- make sure show returns nothing
|
||||
|
||||
## 0.25.1
|
||||
- fix gr_display
|
||||
|
||||
## 0.25.0
|
||||
- Replace StaticArrays with GeometryTypes
|
||||
- Contour fixes for GR
|
||||
|
||||
## 0.24.0
|
||||
- Update to the new PyCall and PyPlot API
|
||||
- fix drawing of ticks
|
||||
- fix y label position with GR
|
||||
|
||||
## 0.23.2
|
||||
- pyplot fixes
|
||||
- Add option :tex_output_standalone to set the 'include_preamble' argument in the PGFPlots backend.
|
||||
- fix ticks
|
||||
- support plotly json mime
|
||||
- fix image axis limits
|
||||
- default to radius 0 at center for polar plots
|
||||
|
||||
## 0.23.1
|
||||
- slightly faster load time
|
||||
- fixed errant MethodError
|
||||
- fix bar plots with unicodeplots
|
||||
- better colorbars for contour
|
||||
- add volume seriestype for GR
|
||||
- fix passing a tuple to custom ticks
|
||||
- add vline to pgfplots
|
||||
- add tex output for pyplot
|
||||
- better 3d axis labels for GR
|
||||
|
||||
## 0.23.0
|
||||
- compatible with StatPlots -> StatsPlots name shift
|
||||
- fix histograms for vectors with NaN and Inf
|
||||
- change gif behaviour (remove cache-busting)
|
||||
- improved docstrings for shorthands functions
|
||||
- fix font rotation for pyplot
|
||||
- fix greyscale images for pyplot
|
||||
- clamp greyscale images with values outside 0,1
|
||||
- support keyword argument for font options
|
||||
- allow vector of markers for pyplot scatter
|
||||
|
||||
## 0.22.5
|
||||
- improve behaviour of plotlyjs backend
|
||||
|
||||
## 0.22.4
|
||||
- Add support for discrete contourf plots with GR
|
||||
|
||||
## 0.22.3
|
||||
- Fix the `showtheme` function
|
||||
|
||||
## 0.22.2
|
||||
- Allow annotations to accept a Tuple instead of the result of a text call (making it possible to specify font characteristics in recipes). E.g. `annotations = (2, 4, ("test", :right, 8, :red))` is the same as `annotations = (2, 4, text("test", :right, 8, :red))`
|
||||
|
||||
## 0.22.1
|
||||
- push PlotsDisplay just after REPLDisplay
|
||||
|
||||
## 0.22.0
|
||||
- deprecate GLVisualize
|
||||
- allow 1-row and 1-column heatmaps
|
||||
- add portfoliodecomposition recipe from PlotRecipes
|
||||
- solve Shape bug
|
||||
- simplify PyPlot backend installation
|
||||
- fix wireframe bug in PyPlot
|
||||
- fix color bug in PyPlot
|
||||
- minor bug fixes in gr and pyplot
|
||||
|
||||
## 0.21.0
|
||||
- Compatibility with StaticArrays 0.9.0
|
||||
- Up GR min version to 0.35
|
||||
- fix :mirror
|
||||
|
||||
## 0.20.6
|
||||
- fixes for PlotDocs.jl
|
||||
- fix gr axis color argument
|
||||
- Shapes for inspectdr
|
||||
- don't load plotly js file by default
|
||||
|
||||
## 0.20.5
|
||||
- fix precompilation issue when depending on Plots
|
||||
|
||||
## 0.20.4
|
||||
- honour `html_output_format` in Juno
|
||||
|
||||
## 0.20.3
|
||||
- implement guide position in gr, pyplot and pgfplots
|
||||
- inspectdr fixes
|
||||
- default appveyor
|
||||
- rudimentary missings support
|
||||
- deprecation fixes for PGFPlots
|
||||
|
||||
## 0.20.0
|
||||
Many updates, min julia 1.0
|
||||
- change display type to use PlotsDisplay (fixes Juno integration)
|
||||
- change all internal uses of `d` to `plotattributes` (no user change)
|
||||
- change spy implementation to use `scatter` not `heatmap`
|
||||
- sort x axes when passing a vector of strings as x
|
||||
- improve performance of marker_z
|
||||
- update CI to 1.0
|
||||
- minor depwarn ifixes
|
||||
- only draw one colorbar with GR
|
||||
- add colorbar_title to GR and pgfplots
|
||||
- fix savefig with latexstrings for PyPlot
|
||||
- fix NamedTuple integration
|
||||
- don't export `P2` and `P3`
|
||||
- make it possible to use 2-argument function as argument to marker_z
|
||||
- make `plotattr` work again
|
||||
|
||||
## 0.19.3
|
||||
- fix some julia 0.7 deprecations
|
||||
- fix 32-bit OS functionality
|
||||
|
||||
## 0.19.2
|
||||
- several small fixes for 1.0 compatibility
|
||||
|
||||
## 0.19.1
|
||||
- don't broadcast plot_color
|
||||
|
||||
## 0.19.0
|
||||
- Refactor conditional loading to use Requires
|
||||
- Many fixes for 1.0 compatibility
|
||||
|
||||
## 0.18.0
|
||||
- update minor version to 0.7
|
||||
|
||||
## 0.17.4
|
||||
- fix thickness_scaling for pyplot
|
||||
|
||||
## 0.17.3
|
||||
- Log-scale heatmap edge computation
|
||||
- Fix size and dpi for GR and PyPlot
|
||||
- Fix fillrange with line segments on PyPlot and Plotly
|
||||
- fix flip for heatmap and image on GR
|
||||
- New attributes for PGFPlots
|
||||
- Widen axes for most series types and log scales
|
||||
- Plotly: fix log scale with no ticks
|
||||
- Fix axis flip on Plotly
|
||||
- Fix hover and zcolor interaction in Plotly
|
||||
- WebIO integration for PlotlyJS backend
|
||||
|
||||
## 0.17.2
|
||||
- fix single subplot in plotly
|
||||
- implement `(xyz)lims = :round`
|
||||
- PyPlot: fix bg_legend = invisible()
|
||||
- set fallback tick specification for axes with discrete values
|
||||
- restructure of show methods
|
||||
|
||||
## 0.17.1
|
||||
- Fix contour for PGFPlots
|
||||
- 32Bit fix: Int64 -> Int
|
||||
- Make series of shapes and segments toggle together in Plotly(JS)
|
||||
- Fix marker arguments
|
||||
- Fix processing order of series recipes
|
||||
- Fix Plotly(JS) ribbon
|
||||
- Contour plots with x,y in grid form on PyPlot
|
||||
|
||||
## 0.17.0
|
||||
- Add GR dependency to make it the default backend
|
||||
- Improve histogram2d bin estimation
|
||||
- Allow vector arguments for certain series attributes and support line_z and fill_z on GR, PyPlot, Plotly(JS) and PGFPlots
|
||||
- Automatic scientific notation for tick labels
|
||||
- Allow to set the theme in PLOTS_DEFAULTS
|
||||
- Implement plots_heatmap seriestype providing a Plots recipe for heatmaps
|
||||
|
||||
## 0.16.0
|
||||
- fix 3D plotting in PyPlot
|
||||
- Infinite objects
|
||||
|
||||
## 0.15.1
|
||||
|
||||
- fix scientific notation for labels in GR
|
||||
- fix labels with logscale
|
||||
- fix image cropping with GR
|
||||
- fix grouping of annotations
|
||||
- fix annotations in Plotly
|
||||
- allow saving notebook with plots as pdf from IJulia
|
||||
- fix fillrange and ribbon for step recipes
|
||||
- implement native ticks that respond to zoom
|
||||
- fix bar plot with one bar
|
||||
- contour labels and colorbar fixes
|
||||
- interactive linked axis for PyPlot
|
||||
- add `NamedTuple` syntax to group with named legend
|
||||
- use bar recipe in Plotly
|
||||
- implement categorical ticks
|
||||
|
||||
## 0.15.0
|
||||
|
||||
- improve resolution of png output of GR with savefig()
|
||||
- add check for ticks=nothing
|
||||
- allow transparency in heatmaps
|
||||
- fix line_z for GR
|
||||
- fix legendcolor for pyplot
|
||||
- fix pyplot ignoring alpha values of images
|
||||
- don't let `abline!` change subplot limits
|
||||
- update showtheme recipe
|
||||
|
||||
## 0.14.2
|
||||
|
||||
- fix plotly bar lines bug
|
||||
- allow passing multiple series to `ribbon`
|
||||
- add a new example for `line_z`
|
||||
|
||||
## 0.14.1
|
||||
|
||||
- Add linestyle argument to the legend
|
||||
- Plotly: bar_width and stroke_width support for bar plots
|
||||
- abline! does not change axis limits
|
||||
- Fix default log scale ticks in GR backend
|
||||
- Use the :fontsize keys so the scalefontsizes command works
|
||||
- Prepare support for new PlotTheme type in PlotThemes
|
||||
|
||||
## 0.14.0
|
||||
|
||||
- remove use of imagemagick; saving gifs now requires ffmpeg
|
||||
- improvements to ffmpeg gif quality and speed
|
||||
- overhaul of fonts, allows setting fonts in recipes and with magic arguments
|
||||
- added `camera` attribute to control camera position for 3d plots
|
||||
- added `showaxis` attribute to control which axes to display
|
||||
- improvements of polar plots axes, and better backend consistency
|
||||
- changed the 'spy' recipe back to using heatmap
|
||||
- added `scatterpath` seriestype
|
||||
- allow plotlyjs to save svg
|
||||
- add `reset_defaults()` function to reset plot defaults
|
||||
- update syntax to 0.6
|
||||
- make `fill = true` fill to 0 rather than to 1
|
||||
- use new `@df` syntax in StatsPlots examples
|
||||
- allow changing the color of legend box
|
||||
- implement `title_location` for gr
|
||||
- add `hline` marker to pgfplots - fixes errorbars
|
||||
- pyplot legends now show marker types
|
||||
- pyplot colorbars take font style from y axis
|
||||
- pyplot tickmarks color the same as axis color
|
||||
- allow setting linewidth for contour in gr
|
||||
- allow legend to be outside plot area for pgfplots
|
||||
- expand axis extrema for heatmap
|
||||
- extendg grid lines to axis limits
|
||||
- fix `line_z` for pyplot and gr
|
||||
- fixed colorbar problem for flipped axes with gr
|
||||
- fix marker_z for 3d plots in gr
|
||||
- fix `weights` functionality for histograms
|
||||
- fix gr annotations with colorbar
|
||||
- fix aspect ratio in gr
|
||||
- fix "hidden window" problem after savefig in gr
|
||||
- fix pgfplots logscale ticks error
|
||||
- fix pgfplots legends symbols
|
||||
- fix axis linking for plotlyjs
|
||||
- fix plotting of grayscale images
|
||||
|
||||
## 0.13.1
|
||||
|
||||
- fix a bug when passing a vector of functions with no bounds (e.g. `plot([sin, cos])`)
|
||||
- export `pct` and `px` from Plots.PlotMeasures
|
||||
|
||||
## 0.13.0
|
||||
|
||||
- support `plotattributes` rather than `d` in recipes
|
||||
- no longer export `w`, `h` and names from Measures.jl; use `using Plots.PlotMeasures` to get these names back
|
||||
- `bar_width` now depends on the minimum distance between bars, not the mean
|
||||
- better automatic x axis limits for plotting Functions
|
||||
- `tick_direction` attribute now allows ticks to be on the inside of the plot border
|
||||
- removed a bug where `p1 = plot(randn(10)); plot(p1, p2)` made `display(p1)` impossible
|
||||
- allow `plot([])` to generate an empty plot
|
||||
- add `origin` framestyle
|
||||
- ensure finite bin number on histograms with only one unique value
|
||||
- better automatic histogram bins for 2d histograms
|
||||
- more informative error message on passing unsupported seriestype in a recipe
|
||||
- allow grouping in user recipes
|
||||
- GR now has `line_z` and `fill_z` attributes for determining the color of shapes and lines
|
||||
- change GR default view angle for 3D plots to match that of PyPlot
|
||||
- fix `clims` on GR
|
||||
- fix `marker_z` for plotly backend
|
||||
- implement `framestyle` for plotly
|
||||
- fix logscale bug error for values < 1e-16 on pyplot
|
||||
- fix an issue on pyplot where >1 colorbar would be shown if there was >1 series
|
||||
- fix `writemime` for eps
|
||||
|
||||
## 0.12.4
|
||||
|
||||
- added a new `framestyle` argument with choices: :box, :semi, :axes, :grid and :none
|
||||
- changed the default bar width to 0.8
|
||||
- added working ribbon to plotly backend
|
||||
- ensure that automatic ticks always generate 4 to 8 ticks
|
||||
- group now groups keyword arguments of the same length as the input
|
||||
- allow passing DateTime objects as ticks
|
||||
- allow specifying the number of ticks as an integre
|
||||
- fix bug on errorbars in gr
|
||||
- fixed some but not all world age issues
|
||||
- better margin with room for text
|
||||
- added a `match` option for linecolor
|
||||
- better error message un unsupported series types
|
||||
- add a 'stride' keyword for the pyplot backend
|
||||
|
||||
## 0.12.3
|
||||
|
||||
- new grid line style defaults
|
||||
- `grid` is now an axis attribute and a magic argument: it is now possible to modify the grid line style, alpha and line width
|
||||
- Enforce plot order in user recipes
|
||||
- import `plot!` from RecipesBase
|
||||
- GR no longer automatically handles _ and ^ in texts
|
||||
- fix GR colorbar for scatter plots
|
||||
|
||||
#### 0.12.2
|
||||
|
||||
- fix an issue with Juno/PlotlyJS compatibility on new installations
|
||||
- fix markers not showing up in seriesrecipes using :scatter
|
||||
- don't use pywrap in the pyplot backend
|
||||
- improve the bottom margin for the gr backend
|
||||
|
||||
#### 0.12.1
|
||||
|
||||
- fix deprecation warnings
|
||||
- switch from FixedSizeArrays to StaticArrays.FixedSizeArrays
|
||||
- drop FactCheck in tests
|
||||
- remove julia 0.5 compliant uses of transpose operator
|
||||
- fix GR heatmap bugs
|
||||
- fix GR guide padding
|
||||
- improve legend markers in GR
|
||||
- add surface alpha for Plotly(JS)
|
||||
- add fillrange to Plotly(JS)
|
||||
- allow usage of Matplotlib 1.5 with PyPlot
|
||||
- fix GLVisualize for julia 0.6
|
||||
- conform to changes in InspectDR
|
||||
|
||||
#### 0.12.0
|
||||
|
||||
- 0.6 only
|
||||
|
||||
#### 0.11.3
|
||||
|
||||
- add HDF5 backend
|
||||
- GR replaces PyPlot as first-choice backend
|
||||
- support for legend position in GR
|
||||
- smaller markers in GR
|
||||
- better viewport size in GR
|
||||
- fix glvisualize support
|
||||
- remove bug with three-argument method of `text`
|
||||
- `legendtitle` attribute added
|
||||
- add test for `spy`
|
||||
|
||||
#### 0.11.0
|
||||
|
||||
- julia 0.6 compatibility
|
||||
- matplotlib 2.0 compatibility
|
||||
- add inspectdr backend
|
||||
- improved histogram functionality:
|
||||
- added a `:stephist` and `:scatterhist` series type as well as ``:barhist` (the default)
|
||||
- support for log scale axes with histograms
|
||||
- support for plotting `StatsBase.Histogram`
|
||||
- allowing bins to be specified as `:sturges`, `:rice`, `:scott` or :fd
|
||||
- allow `normalization` to be specified as :density (for unequal bins) or :pdf (sum to 1)
|
||||
- add a `plotattr` function to access documentation for Plots attribute
|
||||
- add `fill_z` attribute for pyplot
|
||||
- add colorbar_title to plotlyjs
|
||||
- enable standalone window for plotlyjs
|
||||
- improved support for pgfplots, ticks rotation, clims, series_annotations
|
||||
- restore colorbars for GR
|
||||
- better axis labels for heatmap in GR
|
||||
- better marker sizes in GR
|
||||
- fix color representation in GR
|
||||
- update GR legend
|
||||
- fix image bug on GR
|
||||
- fix glvisualize dependencies
|
||||
- set dotted grid lines for pyplot
|
||||
- several improvements to inspectdr
|
||||
- improved tick positions for TimeType x axes
|
||||
- support for improved color gradient capability in PlotUtils
|
||||
- add a showlibrary recipe to display color libraries
|
||||
- add a showgradient recipe to display color gradients
|
||||
- add `vectorfield` as an alias for `quiver`
|
||||
- use `PlotUtils.adaptedgrid` for functions
|
||||
|
||||
|
||||
#### 0.9.5
|
||||
|
||||
- added dependency on PlotThemes
|
||||
- set_theme --> theme
|
||||
- remove Compat from REQUIRE
|
||||
- warning for DataFrames without StatsPlots
|
||||
- closeall exported and implemented for gr/pyplot
|
||||
- fix DateTime recipe
|
||||
- reset theme with theme(:none)
|
||||
- fix link_axes! for nested subplots
|
||||
- fix plotly lims for log scale
|
||||
|
||||
#### 0.9.4
|
||||
|
||||
- optimizations surrounding Subplot.series_list
|
||||
- better Atom support, support plotlyjs
|
||||
- gr:
|
||||
- gks_wstype defaults and gr_set_output
|
||||
- heatmap uses GR.drawimage
|
||||
- histogram2d puts NaN for zeros
|
||||
- improved support of NaN in heatmaps
|
||||
- rebuilt spy recipes to output scatters with marker_z set
|
||||
- deprecate png support in plotly... point to plotlyjs
|
||||
- fixes:
|
||||
- axis widen with lims set
|
||||
- reset_extrema, setxyz
|
||||
- bar plot widen
|
||||
- better tick padding
|
||||
- consistent tick rotation
|
||||
- consistent aspect_ratio
|
||||
- pyplot dpi
|
||||
- plotly horizontal bars
|
||||
- handle series attributes when combining subplots
|
||||
- gr images transposed
|
||||
- converted Date/DateTime to new type recipe approach for arrays
|
||||
- issues closed include: #505 #513 #479 #523 #526 #529
|
||||
|
||||
#### 0.9.3
|
||||
|
||||
- support pdf and eps in plotlyjs backend
|
||||
- allow curly after grid: `@layout [a b; grid(4,4){0.8h}]`
|
||||
- add_backend redesign
|
||||
|
||||
#### 0.9.2
|
||||
|
||||
- glvisualize backend (@SimonDanisch)
|
||||
- too much to list! ready for alpha testing
|
||||
- Volume and volume seriestype
|
||||
- Atom: support for PlotPane and proper gui display
|
||||
- gr:
|
||||
- clims
|
||||
- aspect ratio
|
||||
- pgfplots:
|
||||
- fixes for ticks, axes, and more
|
||||
- pyplot:
|
||||
- font families
|
||||
- colorbar guide
|
||||
- pixel marker
|
||||
- unicodeplots
|
||||
- basic support for shapes
|
||||
- improved add_backend
|
||||
- refactor of is_supported methods
|
||||
- element-wise type recipes (see https://github.com/tbreloff/Plots.jl/issues/460#issuecomment-248428908)
|
||||
- several other fixes/improvements
|
||||
|
||||
#### 0.9.1
|
||||
|
||||
- Pkg.dir --> dirname (@tkelman)
|
||||
- `axis = nothing` magic
|
||||
- fixes:
|
||||
- clim for line_z
|
||||
- sticks default range for log scale
|
||||
- rotate method
|
||||
- pyplot heatmap
|
||||
- spurious scale warnings
|
||||
- gr image/alpha
|
||||
- plotly.js path
|
||||
- orientation extrema
|
||||
- bar, reset orientation
|
||||
- switch transpose_z to use permutedims
|
||||
- skinny x/+ markers
|
||||
- ticks in pgfplots
|
||||
- eps in savefig (@anriseth)
|
||||
- add_backend convenience
|
||||
- type recipes for Date/DateTime (@maximsch2)
|
||||
- mirror attribute and twinx convenience
|
||||
- Axis.sp --> Axis.sps
|
||||
- recipe postprocessing for allowing aliases and magic args in recipe bodies
|
||||
|
||||
|
||||
|
||||
#### 0.9.0
|
||||
|
||||
- fixes to cycle
|
||||
- add back single function recipe: `plot!(cos)`
|
||||
- new axis formatter attribute... accepts functions to convert numbers to strings
|
||||
- fix for inset plots
|
||||
- GR:
|
||||
- fillrange fix
|
||||
- annotations fix
|
||||
- force double buffering in display
|
||||
|
||||
---
|
||||
|
||||
## 0.8
|
||||
|
||||
#### 0.8.2 (backported bug fixes for julia 0.4)
|
||||
|
||||
- plotly ticks fix
|
||||
- unicodeplots size fix
|
||||
- remove mkdir call in tests
|
||||
|
||||
#### 0.8.1
|
||||
|
||||
- manual drawing of axes/ticks/labels
|
||||
- get_ticks uses optimize_ticks and Showoff
|
||||
- changed PLOTS_DEFAULTS to be a global variable, not ENV key
|
||||
- parameterized Segments for pushing tuples
|
||||
- fix to axis extrema for Bool/nothing
|
||||
- GR:
|
||||
- manually draw 2D axes... fixes several issues and missing features
|
||||
- fontsize fix
|
||||
- PGFPlots: pass axis syle
|
||||
|
||||
#### 0.8.0
|
||||
|
||||
- added dependency on PlotUtils
|
||||
- BREAKING: removed DataFrames support (now in StatsPlots.jl)
|
||||
- BREAKING: removed boxplot/violin/density recipes (now in StatsPlots.jl)
|
||||
- GR:
|
||||
- inline iterm2 support
|
||||
- trisurface support
|
||||
- heatmap fix
|
||||
- PyPlot:
|
||||
- ijulia display fix
|
||||
- GLVisualize:
|
||||
- first try with shapes
|
||||
- iter_segments improvements
|
||||
- bar_width support
|
||||
- horizontal bars
|
||||
- improve tick display
|
||||
- better shape handling in pyplot, plotly
|
||||
- improved padding calcs
|
||||
- internal reorg of _plots method, add pipeline.jl
|
||||
|
||||
---
|
||||
|
||||
## 0.7
|
||||
|
||||
#### 0.7.5
|
||||
|
||||
- GR: LaTeX support
|
||||
- Changed docs url to juliaplots.github.io
|
||||
- added `contourf` seriestype
|
||||
- allow `plt[1]` to return first Subplot
|
||||
- allow `sp[1]` to return the first Series of the Subplot
|
||||
- `series[k]` now passes through to `series.d[k]`
|
||||
- allow calling `plot!(sp, ...)` to update a target Subplot
|
||||
- PyPlot: zorder fix
|
||||
- new DataFrames logic/recipe: more flexible/robust and allow Symbols for:
|
||||
- `(:fillrange, :line_z, :marker_z, :markersize, :ribbon, :weights, :xerror, :yerror)`
|
||||
- new `display_type` and `extra_kwargs` plot attributes
|
||||
- surface fix
|
||||
|
||||
#### 0.7.4
|
||||
|
||||
- added snooped precompiles, but left commented out
|
||||
- GR fixes: markersize, shapes, legends
|
||||
- fixes to recipes
|
||||
- turned on Appveyor
|
||||
|
||||
#### 0.7.3
|
||||
|
||||
- rebuild violin and boxplot recipes
|
||||
- "plot recipes"
|
||||
- `cgrad` method for easy color gradient creation
|
||||
- improvements to inset subplots
|
||||
- Segments and iter_segments for NaN-separated vectors
|
||||
- `bar` recipe now creates a `shape` series
|
||||
- writemime fix for Interact.jl
|
||||
- `link = :square` option
|
||||
- !!! set `shape` attributes with line/fill, NOT marker/markerstroke !!!
|
||||
- basic DPI support
|
||||
- moved chorddiagram to PlotRecipes
|
||||
- GR:
|
||||
- use temp files for img output
|
||||
- basic support for marker strokes and other marker fixes
|
||||
- PyPlot:
|
||||
- Switch to recipes for bar, histogram, histogram2d
|
||||
- GLVisualize
|
||||
- subplots
|
||||
- path/scatter and path3d/scatter3d
|
||||
- initial drawing of axes
|
||||
- many smaller fixes and improvements
|
||||
|
||||
#### 0.7.2
|
||||
|
||||
- line_z arg for multicolored line segments
|
||||
- pyplot
|
||||
- line_z (2d and 3d)
|
||||
- pushed all fig updates into display pipeline
|
||||
- remove native sticks/hline/vline in favor of recipes
|
||||
- unicodeplots cleanup, ijulia fixes, ascii canvas
|
||||
- `curves` series type
|
||||
- `iter_segments` iterator
|
||||
- moved arcdiagram out and into PlotRecipes (thanks @diegozea)
|
||||
- several other fixes/checks
|
||||
|
||||
#### 0.7.1
|
||||
|
||||
- inset (floating) subplots
|
||||
- change: when setting subplot/axis args from user recipes, they should apply only to their own subplot
|
||||
- trim for violin/boxplot
|
||||
- scatter3d recipe
|
||||
- removed plotly.js in favor of build.jl download
|
||||
- improvements/fixes to pgfplots backend
|
||||
- improvements/fixes to plotly/plotlyjs backends
|
||||
- titles are annotations and properly placed with title_position
|
||||
- hover attribute
|
||||
- shapes (almost)
|
||||
- scattergl
|
||||
- minimum perimeter logic in layout calc... fixed misaligned subplots
|
||||
- new clims attribute
|
||||
- more options for test_examples
|
||||
- GR refactor
|
||||
- added transparency
|
||||
- moved axis/grid logic out of series loop
|
||||
- generalized 3d and polar projections
|
||||
- renamed get_mod to Base.cycle
|
||||
- pyplot log scale fixes
|
||||
- PLOTS_DEFAULTS environment var processing
|
||||
- rename :ellipse to :circle, :ellipse is now an alias
|
||||
- supported args/types cleanup
|
||||
- seriestype dependency methods and `@deps` macro
|
||||
- bbox `h_anchor`/`v_anchor`
|
||||
- new axis arg: `:link` is a list of subplots to link axes with
|
||||
- cleanup/simplification of glvisualize backend
|
||||
|
||||
|
||||
#### 0.7.0
|
||||
|
||||
- Check out [the summary](http://juliaplots.github.io/plots_v0.7/)
|
||||
- Revamped and simplified internals
|
||||
- [Recipes, recipes, recipes](https://github.com/JuliaPlots/RecipesBase.jl/issues/6)
|
||||
- [Layouts and Subplots](https://github.com/tbreloff/Plots.jl/issues/60)
|
||||
- DataFrames is loaded automatically when installed
|
||||
- Overhaul to GroupBy mechanic (now offloads to a recipe)
|
||||
- Replaced much of the argument processing with recipes
|
||||
- Added series recipes, and began to strip down un-needed backend code. Some recipes:
|
||||
- line, step, sticks, bar, histogram, histogram2d, boxplot, violin, quiver, errorbars, density, ohlc
|
||||
- Added `@shorthands` and `@userplot` macros for recipe convenience
|
||||
- Better handling of errorbars and ribbons
|
||||
- New Axis type
|
||||
- Tracks extrema and discrete values
|
||||
- New `link_axes` functionality
|
||||
- `linetype` has been renamed `seriestype` (the alias is reversed)
|
||||
- Many fixes and huge cleanup in GR
|
||||
- Brand new subplot layout mechanics:
|
||||
- `@layout` macro
|
||||
- AbstractLayout, Subplot, GridLayout, and everything related
|
||||
- Added dependency on Measures.jl
|
||||
- Computations of axis/guide sizes and precise positioning
|
||||
- Refactored and compartmentalized default dictionaries for attributes
|
||||
- Deprecated Gadfly and Immerse backends
|
||||
- Added `series_annotations` attribute (previously that functionality was merged with `annotations`, which are not series-specific)
|
||||
- Removed `axis` attribute... currently not supporting twin (right) y axes
|
||||
- Check for `ENV["PLOTS_USE_ATOM_PLOTPANE"]` and default to false
|
||||
- Improved backend interface to reduce redundant code. Template updated.
|
||||
- Added `html_output_format`, primarily for choosing between png and svg output in IJulia.
|
||||
- Partial support of Julia v0.5
|
||||
- Switched testing to dump reference images to JuliaPlots/PlotReferenceImages.jl
|
||||
- Moved docs-specific code to new JuliaPlots/PlotDocs.jl
|
||||
- Moved example list from ExamplePlots into Plots.
|
||||
- Added several examples and improved others.
|
||||
- Many other smaller changes and bug fixes.
|
||||
|
||||
|
||||
---
|
||||
|
||||
## Version 0.6
|
||||
|
||||
#### 0.6.2
|
||||
|
||||
- `linewidth` fixes
|
||||
- `markershape` fix
|
||||
- converted center calc to centroid for shapes
|
||||
- new dependency on [RecipesBase](https://github.com/JuliaPlots/RecipesBase.jl)
|
||||
- REQUIRE upper limit for RecipesBase: 0.0.1
|
||||
- GR fixes/improvements (@jheinen)
|
||||
- support `zlims`, `bins`
|
||||
- allow Plots colormaps
|
||||
- other bug fixes
|
||||
- native image support
|
||||
- PGFPlots fixes/improvements (@pkofod)
|
||||
- DataFrames are handled by recipes
|
||||
- Plotly: zaxis, tick rotation, 3d axis fix
|
||||
- Improvements in handling discrete data
|
||||
- Support for image display
|
||||
- `arrow` keyword and support for adding arrows to paths
|
||||
- changed quiver recipe to use arrows
|
||||
- Bug fixes for boxplots, heatmaps, and more
|
||||
|
||||
#### 0.6.1
|
||||
|
||||
- `rotation` keyword
|
||||
- improved supported graphs
|
||||
- subplot bug fix
|
||||
|
||||
#### 0.6.0
|
||||
|
||||
- `apply_series_recipe` framework for built-in recipes
|
||||
- [boxplot/violin recipes](https://github.com/tbreloff/ExamplePlots.jl/blob/master/notebooks/boxplot.ipynb)
|
||||
- [errorbar/ribbon recipes](https://github.com/tbreloff/ExamplePlots.jl/blob/master/notebooks/errorbars.ipynb)
|
||||
- [quiver recipe](https://github.com/tbreloff/ExamplePlots.jl/blob/master/notebooks/quiver.ipynb)
|
||||
- `polar` coordinates
|
||||
- better support for shapes and custom polygons (see [batman](https://github.com/tbreloff/ExamplePlots.jl/blob/master/notebooks/batman.ipynb))
|
||||
- z-axis keywords
|
||||
- 3D indexing overhaul: `push!`, `append!` support
|
||||
- matplotlib colormap constants (`:inferno` is the new default colormap for Plots)
|
||||
- `const KW = Dict{Symbol,Any}` used in place of splatting in many places
|
||||
- png generation for plotly backend using wkhtmltoimage
|
||||
- `normalize` and `weights` keywords
|
||||
- background/foreground subcategories for fine-tuning of looks
|
||||
- `add_theme`/`set_theme` and ggplot2 theme (see [this issue](https://github.com/tbreloff/Plots.jl/issues/201))
|
||||
- `PLOTS_DEFAULT_BACKEND` environment variable
|
||||
- `barh` linetype
|
||||
- support for non-gridded surfaces with pyplot's trisurface
|
||||
- pyplot surface zcolor
|
||||
- internal refactor of supported.jl
|
||||
- `wrap` method to bypass input processing
|
||||
- `translate`, `scale` and `rotate` methods for coordinates and shapes
|
||||
- and many more minor fixes and improvements
|
||||
|
||||
---
|
||||
|
||||
## Version 0.5
|
||||
|
||||
#### 0.5.4
|
||||
|
||||
- old heatmaps have been renamed to hist2d, and true heatmaps implemented (see https://github.com/tbreloff/Plots.jl/issues/147)
|
||||
- lots of reorganization and redesign of the internals
|
||||
- lots of renaming to keep to conventions: AbstractPlot, AbstractBackend, etc
|
||||
- initial redesign of layouts
|
||||
- integration with Atom PlotPane
|
||||
- arc diagram and chord diagram (thanks to @diegozea: see https://github.com/tbreloff/Plots.jl/issues/163)
|
||||
- work on GR, GLVisualize, and PGFPlots backends (thanks @jheinen @dlfivefifty @pkofod)
|
||||
- improvements to Plotly setup (thanks @spencerlyon2)
|
||||
- overhaul to series creation logic and groupby mechanic
|
||||
- replace Dict with `typealias KW Dict{Symbol,Any}` in many places, also replacing keyword arg splatting
|
||||
- new `shape` linetype for plotting polygons in plot-coordinates (see https://github.com/tbreloff/ExamplePlots.jl/blob/master/notebooks/batman.ipynb)
|
||||
- many other fixes
|
||||
|
||||
#### 0.5.3
|
||||
|
||||
- `@gif` macro with `every`/`when` syntax
|
||||
- bezier curves and other graph drawing helpers
|
||||
- added FixedSizeArrays dependency with relevant functionality
|
||||
- merged lots of improvements to GR (thanks @jheinen)
|
||||
- `overwrite_figure`/`reuse` arg for reusing the same figure window
|
||||
- deprecated Qwt, Winston, and Bokeh backends
|
||||
- improved handling of 3D inputs (call `z=rand(10,10); surface(z)` for example)
|
||||
- fix IJulia display issue
|
||||
- lots of progress on PlotlyJS backend
|
||||
- and many other changes and fixes...
|
||||
|
||||
#### 0.5.2
|
||||
|
||||
- Added [GR.jl](https://github.com/jheinen/GR.jl) as a backend (unfinished but functional) All credit to @jheinen
|
||||
- Set defaults within backend calls (i.e. `gadfly(legend=false)`)
|
||||
- `abline!`; also extrema allows plotting functions without giving x (i.e. `plot(cos, 0, 10); plot!(sin)`) @pkofod @joshday
|
||||
- Integration with [PlotlyJS.jl](https://github.com/spencerlyon2/PlotlyJS.jl) for using Plotly inside a Blink window @spencerlyon2
|
||||
- The Plotly backend has been split into my built-in version (`plotly()`) and @spencerlyon2's backend (`plotlyjs()`)
|
||||
- Revamped backend setup code for easily adding new backends
|
||||
- New docs (WIP) at http://juliaplots.github.io/
|
||||
- Overhaul to `:legend` keyword (see https://github.com/tbreloff/Plots.jl/issues/135)
|
||||
- New dependency on Requires, allows auto-loading of DataFrames support
|
||||
- Support for plotting lists of Tuples and FixedSizeArrays
|
||||
- new `@animate` macro for super simple animations (see https://github.com/tbreloff/Plots.jl/issues/111#issuecomment-181515616)
|
||||
- allow Function for `:fillrange` and `zcolor` arguments (for example: `scatter(sin, 0:10, marker=15, fill=(cos,0.4), zcolor=sin)`)
|
||||
- allow vectors of PlotText without x/y coords (for example: `scatter(rand(10), m=20, ann=map(text, 1:10))`)
|
||||
- Lots and lots of fixes
|
||||
|
||||
#### 0.5.1
|
||||
|
||||
#### 0.5.0
|
||||
|
||||
- `with` function for temporary defaults
|
||||
- contours
|
||||
- basic 3D plotting
|
||||
- preliminary support for Bokeh
|
||||
- `stroke` and `brush` for more fine-tuned control over visuals
|
||||
- smarter "magic" arguments: `line`, `marker`
|
||||
93
Project.toml
Normal file
@ -0,0 +1,93 @@
|
||||
name = "Plots"
|
||||
uuid = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
|
||||
author = ["Tom Breloff (@tbreloff)"]
|
||||
version = "1.29.0"
|
||||
|
||||
[deps]
|
||||
Base64 = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
|
||||
Contour = "d38c429a-6771-53c6-b99e-75d170b6e991"
|
||||
Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
|
||||
Downloads = "f43a241f-c20a-4ad4-852c-f6b1247861c6"
|
||||
FFMPEG = "c87230d0-a227-11e9-1b43-d7ebe4e7570a"
|
||||
FixedPointNumbers = "53c48c17-4a7d-5ca2-90c5-79b7896eea93"
|
||||
GR = "28b8d3ca-fb5f-59d9-8090-bfdbd6d07a71"
|
||||
GeometryBasics = "5c1252a2-5f33-56bf-86c9-59e7332b4326"
|
||||
JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
|
||||
Latexify = "23fbe1c1-3f47-55db-b15f-69d7ec21a316"
|
||||
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
|
||||
Measures = "442fdcdd-2543-5da2-b0f3-8c86c306513e"
|
||||
NaNMath = "77ba4419-2d1f-58cd-9bb1-8ffee604a2e3"
|
||||
Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
|
||||
PlotThemes = "ccf2f8ad-2431-5c83-bf29-c5338b663b6a"
|
||||
PlotUtils = "995b91a9-d308-5afd-9ec6-746e21dbc043"
|
||||
Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
|
||||
REPL = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb"
|
||||
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
|
||||
RecipesBase = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
|
||||
RecipesPipeline = "01d81517-befc-4cb6-b9ec-a95719d0359c"
|
||||
Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
|
||||
Requires = "ae029012-a4dd-5104-9daa-d747884805df"
|
||||
Scratch = "6c6a2e73-6563-6170-7368-637461726353"
|
||||
Showoff = "992d4aef-0814-514b-bc4d-f2e9a6c4116f"
|
||||
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
|
||||
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
|
||||
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
|
||||
UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
|
||||
UnicodeFun = "1cfade01-22cf-5700-b092-accc4b62d6e1"
|
||||
Unzip = "41fe7b60-77ed-43a1-b4f0-825fd5a5650d"
|
||||
|
||||
[compat]
|
||||
Contour = "0.5"
|
||||
FFMPEG = "0.2 - 0.4"
|
||||
FixedPointNumbers = "0.6 - 0.8"
|
||||
GR = "0.64"
|
||||
GeometryBasics = "0.2, 0.3.1, 0.4"
|
||||
JSON = "0.21, 1"
|
||||
Latexify = "0.14 - 0.15"
|
||||
Measures = "0.3"
|
||||
NaNMath = "0.3, 1"
|
||||
PGFPlotsX = "1"
|
||||
PlotThemes = "2, 3"
|
||||
PlotUtils = "1"
|
||||
PlotlyBase = "0.7"
|
||||
PlotlyJS = "0.18"
|
||||
PyPlot = "2"
|
||||
RecipesBase = "1.2"
|
||||
RecipesPipeline = "0.5"
|
||||
Reexport = "0.2, 1.0"
|
||||
Requires = "1"
|
||||
Scratch = "1"
|
||||
Showoff = "0.3.1, 1.0"
|
||||
StatsBase = "0.32 - 0.33"
|
||||
UnicodeFun = "0.4"
|
||||
UnicodePlots = "2.10"
|
||||
Unzip = "0.1"
|
||||
julia = "1.6"
|
||||
|
||||
[extras]
|
||||
Colors = "5ae59095-9a9b-59fe-a467-6f913c188581"
|
||||
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
|
||||
FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
|
||||
Gaston = "4b11ee91-296f-5714-9832-002c20994614"
|
||||
Gtk = "4c0ca9eb-093a-5379-98c5-f87ac0bbbf44"
|
||||
HDF5 = "f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f"
|
||||
ImageMagick = "6218d12a-5da1-5696-b52f-db25d2ecc6d1"
|
||||
Images = "916415d5-f1e6-5110-898d-aaa5f9f070e0"
|
||||
InspectDR = "d0351b0e-4b05-5898-87b3-e2a8edfddd1d"
|
||||
LibGit2 = "76f85450-5226-5b5a-8eaa-529ad045b433"
|
||||
OffsetArrays = "6fe1bfb0-de20-5000-8ca7-80f57d26f881"
|
||||
PGFPlotsX = "8314cec4-20b6-5062-9cdb-752b83310925"
|
||||
PlotlyBase = "a03496cd-edff-5a9b-9e67-9cda94a718b5"
|
||||
PlotlyJS = "f0f68f2c-4968-5e81-91da-67840de0976a"
|
||||
PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee"
|
||||
RDatasets = "ce6b1742-4840-55fa-b093-852dadbb1d8b"
|
||||
StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
|
||||
StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
|
||||
StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
|
||||
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
|
||||
TestImages = "5e47fb64-e119-507b-a336-dd2b206d9990"
|
||||
UnicodePlots = "b8865327-cd53-5732-bb35-84acbb429228"
|
||||
VisualRegressionTests = "34922c18-7c2a-561c-bac1-01e79b2c4c92"
|
||||
|
||||
[targets]
|
||||
test = ["Colors", "Distributions", "FileIO", "Gaston", "Gtk", "ImageMagick", "Images", "InspectDR", "LibGit2", "OffsetArrays", "PGFPlotsX", "PlotlyJS", "PlotlyBase", "PyPlot", "HDF5", "RDatasets", "StableRNGs", "StaticArrays", "StatsPlots", "Test", "TestImages", "UnicodePlots", "VisualRegressionTests"]
|
||||
292
README.md
@ -1,277 +1,37 @@
|
||||
# Plots
|
||||
|
||||
[](https://travis-ci.org/tbreloff/Plots.jl)
|
||||
[gh-ci-img]: https://github.com/JuliaPlots/Plots.jl/workflows/ci/badge.svg?branch=master
|
||||
[gh-ci-url]: https://github.com/JuliaPlots/Plots.jl/actions?query=workflow%3Aci
|
||||
|
||||
#### Author: Thomas Breloff (@tbreloff)
|
||||
[pkgeval-img]: https://juliaci.github.io/NanosoldierReports/pkgeval_badges/P/Plots.svg
|
||||
[pkgeval-url]: https://juliaci.github.io/NanosoldierReports/pkgeval_badges/report.html
|
||||
|
||||
Plotting interface and wrapper for several plotting packages.
|
||||
[gitter-img]: https://badges.gitter.im/tbreloff/Plots.jl.svg
|
||||
[gitter-url]: https://gitter.im/tbreloff/Plots.jl?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge
|
||||
|
||||
Please add wishlist items, bugs, or any other comments/questions to the issues list.
|
||||
[docs-img]: https://img.shields.io/badge/docs-stable-blue.svg
|
||||
[docs-url]: https://docs.juliaplots.org/stable/
|
||||
|
||||
## Examples for each implemented backend:
|
||||
[![][gh-ci-img]][gh-ci-url]
|
||||
[![][pkgeval-img]][pkgeval-url]
|
||||
[](https://julialang.zulipchat.com/#narrow/stream/236493-plots)
|
||||
[![][docs-img]][docs-url]
|
||||
[](https://codecov.io/gh/JuliaPlots/Plots.jl)
|
||||
[](https://pkgs.genieframework.com?packages=Plots)
|
||||
|
||||
- [Qwt.jl](docs/qwt_examples.md)
|
||||
- [Gadfly.jl](docs/gadfly_examples.md)
|
||||
- [UnicodePlots.jl](docs/unicodeplots_examples.md)
|
||||
- [PyPlot.jl](docs/pyplot_examples.md)
|
||||
- [Immerse.jl](docs/immerse_examples.md)
|
||||
[](https://doi.org/10.5281/zenodo.4725317)
|
||||
This is the DOI for all Versions, please follow the link to get the DOI for a specific version.
|
||||
|
||||
## Installation
|
||||
#### Created by Tom Breloff (@tbreloff)
|
||||
|
||||
First, add the package
|
||||
|
||||
```julia
|
||||
Pkg.add("Plots")
|
||||
```
|
||||
|
||||
then get any plotting packages you need (obviously, you should get at least one backend):
|
||||
|
||||
```julia
|
||||
Pkg.add("Gadfly")
|
||||
Pkg.add("Immerse")
|
||||
Pkg.add("UnicodePlots")
|
||||
Pkg.add("PyPlot") # requires python and matplotlib
|
||||
Pkg.clone("https://github.com/tbreloff/Qwt.jl.git") # requires pyqt and pyqwt
|
||||
```
|
||||
|
||||
## Use
|
||||
|
||||
Load it in. The underlying plotting backends are not imported until `plotter()` is called (which happens
|
||||
on your first call to `plot` or `subplot`). This means that you don't need any backends to be installed when you call `using Plots`.
|
||||
Plots will try to figure out a good default backend for you automatically based on what backends are installed.
|
||||
|
||||
```julia
|
||||
using Plots
|
||||
```
|
||||
|
||||
Do a plot in Gadfly, then save a png:
|
||||
|
||||
```julia
|
||||
# switch to Gadfly as a backend
|
||||
gadfly!()
|
||||
|
||||
# This will bring up a browser window with the plot. Add a semicolon to skip display.
|
||||
plot(rand(10,2); marker = :rect, markersizes=[10,30])
|
||||
|
||||
# save it as a PNG
|
||||
savepng(Plots.IMG_DIR * "gadfly1.png")
|
||||
```
|
||||
|
||||
which saves:
|
||||
|
||||

|
||||
|
||||
See the examples pages for lots of examples of plots, and what those commands produce for each supported backend.
|
||||
|
||||
## API
|
||||
|
||||
Call `plotter!(backend::Symbol)` or the shorthands (`gadfly!()`, `qwt!()`, `unicodeplots!()`, etc) to set the current plotting backend.
|
||||
Subsequent commands are converted into the relevant plotting commands for that package:
|
||||
|
||||
```julia
|
||||
gadfly!()
|
||||
plot(1:10) # this effectively calls `y = 1:10; Gadfly.plot(x=1:length(y), y=y)`
|
||||
qwt!()
|
||||
plot(1:10) # this effectively calls `Qwt.plot(1:10)`
|
||||
```
|
||||
|
||||
Use `plot` to create a new plot object, and `plot!` to add to an existing one:
|
||||
|
||||
```julia
|
||||
plot(args...; kw...) # creates a new plot window, and sets it to be the `currentPlot`
|
||||
plot!(args...; kw...) # adds to the `currentPlot`
|
||||
plot!(plotobj, args...; kw...) # adds to the plot `plotobj`
|
||||
```
|
||||
|
||||
Now that you know which plot object you're updating (new, current, or other), I'll leave it off for simplicity.
|
||||
Here are some various args to supply, and the implicit mapping (AVec == AbstractVector and AMat == AbstractMatrix):
|
||||
|
||||
```julia
|
||||
# one line... x = 1:length(y)
|
||||
plot(y::AVec; kw...)
|
||||
|
||||
# one line (will assert length(x) == length(y))
|
||||
plot(x::AVec, y::AVec; kw...)
|
||||
|
||||
# multiple lines (one per column of x), all sharing x = 1:size(y,1)
|
||||
plot(y::AMat; kw...)
|
||||
|
||||
# multiple lines (one per column of x), all sharing x (will assert length(x) == size(y,1))
|
||||
plot(x::AVec, y::AMat; kw...)
|
||||
|
||||
# multiple lines (one per column of x/y... will assert size(x) == size(y))
|
||||
plot(x::AMat, y::AMat; kw...)
|
||||
|
||||
# one line, map function for range [xmin,xmax]
|
||||
plot(f::Function, xmin::Real, xmax::Real; kw...)
|
||||
|
||||
# multiple lines, map functions for range [xmin,xmax]
|
||||
plot(f::AVec{Function}, xmin::Real, xmax::Real; kw...)
|
||||
|
||||
# parametric plot... x = fx(u), y = fy(u)
|
||||
plot(fx::Function, fy::Function, umin::Real, umax::Real; kw...)
|
||||
|
||||
# one line, y = f(x)... can swap x and f
|
||||
plot(x::AVec, f::Function; kw...)
|
||||
|
||||
# multiple lines, yᵢⱼ = f(xᵢⱼ)... can swap f and x
|
||||
plot(x::AMat, f::Function; kw...)
|
||||
|
||||
# multiple lines, yᵢⱼ = fⱼ(xᵢ)
|
||||
plot(x::AVec, fs::AVec{Function}; kw...)
|
||||
|
||||
# multiple lines, each with x = 1:length(y[i])
|
||||
plot(y::AVec{AVec}; kw...)
|
||||
|
||||
# multiple lines, will assert length(x) == length(y[i])
|
||||
plot(x::AVec, y::AVec{AVec}; kw...)
|
||||
|
||||
# multiple lines, will assert length(x[i]) == length(y[i])
|
||||
plot(x::AVec{AVec}, y::AVec{AVec}; kw...)
|
||||
|
||||
# n lines, all empty (for updating plots)
|
||||
plot(n::Integer; kw...)
|
||||
|
||||
# TODO: DataFrames, categorical values
|
||||
```
|
||||
|
||||
With `subplot`, create multiple plots at once, with flexible layout options:
|
||||
|
||||
```julia
|
||||
y = rand(100,3)
|
||||
subplot(y; n = 3) # create an automatic grid, and let it figure out the shape
|
||||
subplot(y; n = 3, nr = 1) # create an automatic grid, but fix the number of rows
|
||||
subplot(y; n = 3, nc = 1) # create an automatic grid, but fix the number of columns
|
||||
subplot(y; layout = [1, 2]) # explicit layout. Lists the number of plots in each row
|
||||
```
|
||||
|
||||
__Tip__: You can call `subplot!(args...; kw...)` to add to an existing subplot.
|
||||
|
||||
__Tip__: Calling `subplot!` on a `Plot` object, or `plot!` on a `Subplot` object will throw an error.
|
||||
|
||||
Shorthands:
|
||||
|
||||
```julia
|
||||
scatter(args...; kw...) = plot(args...; kw..., linetype = :none, marker = :hexagon)
|
||||
scatter!(args...; kw...) = plot!(args...; kw..., linetype = :none, marker = :hexagon)
|
||||
bar(args...; kw...) = plot(args...; kw..., linetype = :bar)
|
||||
bar!(args...; kw...) = plot!(args...; kw..., linetype = :bar)
|
||||
histogram(args...; kw...) = plot(args...; kw..., linetype = :hist)
|
||||
histogram!(args...; kw...) = plot!(args...; kw..., linetype = :hist)
|
||||
heatmap(args...; kw...) = plot(args...; kw..., linetype = :heatmap)
|
||||
heatmap!(args...; kw...) = plot!(args...; kw..., linetype = :heatmap)
|
||||
```
|
||||
|
||||
Some keyword arguments you can set:
|
||||
|
||||
```
|
||||
axis # :left or :right
|
||||
color # can be a string ("red") or a symbol (:red) or a ColorsTypes.jl
|
||||
# Colorant (RGB(1,0,0)) or :auto (which lets the package pick)
|
||||
label # string or symbol, applies to that line, may go in a legend
|
||||
width # width of a line
|
||||
linetype # :line, :step, :stepinverted, :sticks, :dots, :none, :heatmap, :hexbin, :hist, :bar
|
||||
linestyle # :solid, :dash, :dot, :dashdot, :dashdotdot
|
||||
marker # :none, :ellipse, :rect, :diamond, :utriangle, :dtriangle,
|
||||
# :cross, :xcross, :star1, :star2, :hexagon
|
||||
markercolor # same choices as `color`, or :match will set the color to be the same as `color`
|
||||
markersize # size of the marker
|
||||
nbins # number of bins for heatmap/hexbin and histograms
|
||||
heatmap_c # color cutoffs for Qwt heatmaps
|
||||
fillto # fillto value for area plots
|
||||
title # string or symbol, title of the plot
|
||||
xlabel # string or symbol, label on the bottom (x) axis
|
||||
ylabel # string or symbol, label on the left (y) axis
|
||||
yrightlabel # string or symbol, label on the right (y) axis
|
||||
reg # true or false, add a regression line for each line
|
||||
size # (Int,Int), resize the enclosing window
|
||||
pos # (Int,Int), move the enclosing window to this position
|
||||
windowtitle # string or symbol, set the title of the enclosing windowtitle
|
||||
screen # Integer, move enclosing window to this screen number (for multiscreen desktops)
|
||||
```
|
||||
|
||||
Note that not every backend supports all options.
|
||||
|
||||
If you don't include a keyword argument, these are the defaults:
|
||||
|
||||
```
|
||||
axis = :left
|
||||
color = :auto
|
||||
label = automatically generated (y1, y2, ...., or y1 (R), y2 (R) for the right axis)
|
||||
width = 1
|
||||
linetype = :line
|
||||
linestype = :solid
|
||||
marker = :none
|
||||
markercolor = :match
|
||||
markersize = 3
|
||||
nbins = 100
|
||||
heatmap_c = (0.15, 0.5)
|
||||
fillto = nothing
|
||||
title = ""
|
||||
xlabel = ""
|
||||
ylabel = ""
|
||||
yrightlabel = ""
|
||||
reg = false
|
||||
size = (600,400)
|
||||
pos = (0,0)
|
||||
windowtitle = "Plots.jl"
|
||||
screen = 1
|
||||
```
|
||||
|
||||
__Tip__: You can see the default value for a given argument with `plotDefault(arg::Symbol)`, and set the default value with `plotDefault!(arg::Symbol, value)`
|
||||
|
||||
__Tip__: When plotting multiple lines, you can give every line the same trait by using the singular, or add an "s" to pluralize.
|
||||
(yes I know it's not gramatically correct, but it's easy to use and implement)
|
||||
|
||||
```julia
|
||||
# Note: The same width is applied to both lines, whereas
|
||||
# each line gets different color and axis.
|
||||
plot(rand(100,2); colors = [:red, RGB(.5,.5,0)],
|
||||
axiss = [:left, :right],
|
||||
width = 5)
|
||||
```
|
||||
|
||||
## TODO features:
|
||||
|
||||
- [x] Plot vectors/matrices/functions
|
||||
- [ ] Plot DataFrames
|
||||
- [ ] Scales
|
||||
- [ ] Categorical Inputs (strings, etc... for hist, bar? or can split one series into multiple?)
|
||||
- [ ] Custom markers
|
||||
- [ ] Special plots (boxplot, ohlc?)
|
||||
- [x] Subplots
|
||||
- [x] Histograms
|
||||
- [ ] 3D plotting
|
||||
- [ ] Scenes/Drawing
|
||||
- [ ] Graphs
|
||||
- [ ] Interactivity (GUIs)
|
||||
|
||||
## TODO backends:
|
||||
|
||||
- [x] Gadfly.jl
|
||||
- [x] Immerse.jl
|
||||
- [x] PyPlot.jl
|
||||
- [x] UnicodePlots.jl
|
||||
- [x] Qwt.jl
|
||||
- [ ] Winston.jl
|
||||
- [ ] GLPlot.jl
|
||||
- [ ] Bokeh.jl
|
||||
- [ ] Vega.jl
|
||||
- [ ] Gaston.jl
|
||||
- [ ] Plotly.jl
|
||||
- [ ] GoogleCharts.jl
|
||||
- [ ] PLplot.jl
|
||||
- [ ] TextPlots.jl
|
||||
- [ ] ASCIIPlots.jl
|
||||
- [ ] Sparklines.jl
|
||||
- [ ] Hinton.jl
|
||||
- [ ] ImageTerm.jl
|
||||
- [ ] GraphViz.jl
|
||||
- [ ] TikzGraphs.jl
|
||||
- [ ] GraphLayout.jl
|
||||
|
||||
## More information on backends (both supported and unsupported)
|
||||
|
||||
See the wiki at: https://github.com/JuliaPlot/juliaplot_docs/wiki
|
||||
#### Maintained by the [JuliaPlots members](https://github.com/orgs/JuliaPlots/people)
|
||||
|
||||
Plots is a plotting API and toolset. My goals with the package are:
|
||||
|
||||
- **Powerful**. Do more with less. Complex visualizations become easy.
|
||||
- **Intuitive**. Stop reading so much documentation. Commands should "just work".
|
||||
- **Concise**. Less code means fewer mistakes and more efficient development/analysis.
|
||||
- **Flexible**. Produce your favorite plots from your favorite package, but quicker and simpler.
|
||||
- **Consistent**. Don't commit to one graphics package, use the same code everywhere.
|
||||
- **Lightweight**. Very few dependencies.
|
||||
- **Smart**. Attempts to figure out what you **want** it to do... not just what you **tell** it.
|
||||
|
||||
34
appveyor.yml
@ -1,34 +0,0 @@
|
||||
environment:
|
||||
matrix:
|
||||
- JULIAVERSION: "julialang/bin/winnt/x86/0.3/julia-0.3-latest-win32.exe"
|
||||
- JULIAVERSION: "julialang/bin/winnt/x64/0.3/julia-0.3-latest-win64.exe"
|
||||
- JULIAVERSION: "julianightlies/bin/winnt/x86/julia-latest-win32.exe"
|
||||
- JULIAVERSION: "julianightlies/bin/winnt/x64/julia-latest-win64.exe"
|
||||
|
||||
branches:
|
||||
only:
|
||||
- master
|
||||
- /release-.*/
|
||||
|
||||
notifications:
|
||||
- provider: Email
|
||||
on_build_success: false
|
||||
on_build_failure: false
|
||||
on_build_status_changed: false
|
||||
|
||||
install:
|
||||
# Download most recent Julia Windows binary
|
||||
- ps: (new-object net.webclient).DownloadFile(
|
||||
$("http://s3.amazonaws.com/"+$env:JULIAVERSION),
|
||||
"C:\projects\julia-binary.exe")
|
||||
# Run installer silently, output to C:\projects\julia
|
||||
- C:\projects\julia-binary.exe /S /D=C:\projects\julia
|
||||
|
||||
build_script:
|
||||
# Need to convert from shallow to complete for Pkg.clone to work
|
||||
- IF EXIST .git\shallow (git fetch --unshallow)
|
||||
- C:\projects\julia\bin\julia -e "versioninfo();
|
||||
Pkg.clone(pwd(), \"Plots\"); Pkg.build(\"Plots\")"
|
||||
|
||||
test_script:
|
||||
- C:\projects\julia\bin\julia --check-bounds=yes -e "Pkg.test(\"Plots\")"
|
||||
5
benchmark/Project.toml
Normal file
@ -0,0 +1,5 @@
|
||||
[deps]
|
||||
BenchmarkCI = "20533458-34a3-403d-a444-e18f38190b5b"
|
||||
BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
|
||||
PkgBenchmark = "32113eaa-f34f-5b0d-bd6c-c81e245fc73d"
|
||||
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
|
||||
10
benchmark/benchmarks.jl
Normal file
@ -0,0 +1,10 @@
|
||||
using BenchmarkTools
|
||||
using Plots
|
||||
|
||||
const SUITE = BenchmarkGroup()
|
||||
julia_cmd = split(get(ENV, "TESTCMD", Base.JLOptions().julia_bin))
|
||||
|
||||
SUITE["load_plot_display"] = @benchmarkable run(`$julia_cmd --startup-file=no --project -e 'using Plots; display(plot(1:0.1:10, sin.(1:0.1:10)))'`)
|
||||
SUITE["load"] = @benchmarkable run(`$julia_cmd --startup-file=no --project -e 'using Plots'`)
|
||||
SUITE["plot"] = @benchmarkable p = plot(1:0.1:10, sin.(1:0.1:10)) samples=1 evals=1
|
||||
SUITE["display"] = @benchmarkable display(p) setup=(p = plot(1:0.1:10, sin.(1:0.1:10))) samples=1 evals=1
|
||||
13
codecov.yml
Normal file
@ -0,0 +1,13 @@
|
||||
github_checks:
|
||||
annotations: false
|
||||
|
||||
ignore:
|
||||
- "src/backends/inspectdr.jl"
|
||||
- "src/backends/orca.jl"
|
||||
- "src/backends/pgfplots.jl"
|
||||
- "src/backends/plotly.jl"
|
||||
- "src/backends/plotlyjs.jl"
|
||||
- "src/backends/pyplot.jl"
|
||||
- "src/backends/web.jl"
|
||||
- "src/fileio.jl"
|
||||
- "src/ijulia.jl"
|
||||
451
deps/SnoopCompile/precompile/1.6/precompile_Plots.jl
vendored
Normal file
@ -0,0 +1,451 @@
|
||||
# Use
|
||||
# @warnpcfail precompile(args...)
|
||||
# if you want to be warned when a precompile directive fails
|
||||
macro warnpcfail(ex::Expr)
|
||||
modl = __module__
|
||||
file = __source__.file === nothing ? "?" : String(__source__.file)
|
||||
line = __source__.line
|
||||
quote
|
||||
$(esc(ex)) || @warn """precompile directive
|
||||
$($(Expr(:quote, ex)))
|
||||
failed. Please report an issue in $($modl) (after checking for duplicates) or remove this directive.""" _file=$file _line=$line
|
||||
end
|
||||
end
|
||||
|
||||
|
||||
const __bodyfunction__ = Dict{Method,Any}()
|
||||
|
||||
# Find keyword "body functions" (the function that contains the body
|
||||
# as written by the developer, called after all missing keyword-arguments
|
||||
# have been assigned values), in a manner that doesn't depend on
|
||||
# gensymmed names.
|
||||
# `mnokw` is the method that gets called when you invoke it without
|
||||
# supplying any keywords.
|
||||
function __lookup_kwbody__(mnokw::Method)
|
||||
function getsym(arg)
|
||||
isa(arg, Symbol) && return arg
|
||||
@assert isa(arg, GlobalRef)
|
||||
return arg.name
|
||||
end
|
||||
|
||||
f = get(__bodyfunction__, mnokw, nothing)
|
||||
if f === nothing
|
||||
fmod = mnokw.module
|
||||
# The lowered code for `mnokw` should look like
|
||||
# %1 = mkw(kwvalues..., #self#, args...)
|
||||
# return %1
|
||||
# where `mkw` is the name of the "active" keyword body-function.
|
||||
ast = Base.uncompressed_ast(mnokw)
|
||||
if isa(ast, Core.CodeInfo) && length(ast.code) >= 2
|
||||
callexpr = ast.code[end-1]
|
||||
if isa(callexpr, Expr) && callexpr.head == :call
|
||||
fsym = callexpr.args[1]
|
||||
if isa(fsym, Symbol)
|
||||
f = getfield(fmod, fsym)
|
||||
elseif isa(fsym, GlobalRef)
|
||||
if fsym.mod === Core && fsym.name === :_apply
|
||||
f = getfield(mnokw.module, getsym(callexpr.args[2]))
|
||||
elseif fsym.mod === Core && fsym.name === :_apply_iterate
|
||||
f = getfield(mnokw.module, getsym(callexpr.args[3]))
|
||||
else
|
||||
f = getfield(fsym.mod, fsym.name)
|
||||
end
|
||||
else
|
||||
f = missing
|
||||
end
|
||||
else
|
||||
f = missing
|
||||
end
|
||||
else
|
||||
f = missing
|
||||
end
|
||||
__bodyfunction__[mnokw] = f
|
||||
end
|
||||
return f
|
||||
end
|
||||
|
||||
function _precompile_()
|
||||
ccall(:jl_generating_output, Cint, ()) == 1 || return nothing
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(Type)),NamedTuple{(:parent,), Tuple{Subplot{GRBackend}}},Type{Subplot},GRBackend})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(_make_hist)),NamedTuple{(:normed, :weights), Tuple{Bool, Nothing}},typeof(_make_hist),Tuple{Vector{Float64}, Vector{Float64}},Int64})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(_make_hist)),NamedTuple{(:normed, :weights), Tuple{Bool, Nothing}},typeof(_make_hist),Tuple{Vector{Float64}, Vector{Float64}},Tuple{Int64, Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(_make_hist)),NamedTuple{(:normed, :weights), Tuple{Bool, Nothing}},typeof(_make_hist),Tuple{Vector{Float64}},Symbol})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(_make_hist)),NamedTuple{(:normed, :weights), Tuple{Bool, Vector{Int64}}},typeof(_make_hist),Tuple{Vector{Float64}},Symbol})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(areaplot)),Any,typeof(areaplot),Any,Vararg{Any, N} where N})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:foreground_color_grid, :grid, :gridalpha, :gridstyle, :gridlinewidth), Tuple{RGBA{Float64}, Bool, Float64, Symbol, Int64}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:formatter,), Tuple{typeof(datetimeformatter)}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:grid, :flip, :minorgrid, :guide), Tuple{Bool, Bool, Bool, String}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:grid, :lims), Tuple{Bool, Tuple{Float64, Float64}}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:grid, :lims, :flip), Tuple{Bool, Tuple{Float64, Float64}, Bool}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:grid, :minorgrid, :guide), Tuple{Bool, Bool, String}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:grid, :minorgrid, :mirror, :guide), Tuple{Bool, Bool, Bool, String}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:guide,), Tuple{String}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:guide_position, :guidefontvalign, :mirror, :guide), Tuple{Symbol, Symbol, Bool, String}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:guidefonthalign, :guide_position, :mirror, :guide), Tuple{Symbol, Symbol, Bool, String}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:lims, :flip, :ticks, :guide), Tuple{Tuple{Int64, Int64}, Bool, StepRange{Int64, Int64}, String}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:lims,), Tuple{Tuple{Float64, Float64}}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:lims,), Tuple{Tuple{Int64, Float64}}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:lims,), Tuple{Tuple{Int64, Int64}}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:minorgrid, :scale, :guide), Tuple{Bool, Symbol, String}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:ticks,), Tuple{Nothing}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:ticks,), Tuple{UnitRange{Int64}}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(default)),NamedTuple{(:shape,), Tuple{Symbol}},typeof(default)})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(default)),NamedTuple{(:titlefont, :legendfontsize, :guidefont, :tickfont, :guide, :framestyle, :yminorgrid), Tuple{Tuple{Int64, String}, Int64, Tuple{Int64, Symbol}, Tuple{Int64, Symbol}, String, Symbol, Bool}},typeof(default)})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(font)),NamedTuple{(:family, :pointsize, :halign, :valign, :rotation, :color), Tuple{String, Int64, Symbol, Symbol, Float64, RGBA{Float64}}},typeof(font)})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(font)),NamedTuple{(:family, :pointsize, :valign, :halign, :rotation, :color), Tuple{String, Int64, Symbol, Symbol, Float64, RGBA{Float64}}},typeof(font)})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_polyline)),NamedTuple{(:arrowside, :arrowstyle), Tuple{Symbol, Symbol}},typeof(gr_polyline),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_polyline)),NamedTuple{(:arrowside, :arrowstyle), Tuple{Symbol, Symbol}},typeof(gr_polyline),StepRange{Int64, Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_polyline)),NamedTuple{(:arrowside, :arrowstyle), Tuple{Symbol, Symbol}},typeof(gr_polyline),UnitRange{Int64},UnitRange{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_polyline)),NamedTuple{(:arrowside, :arrowstyle), Tuple{Symbol, Symbol}},typeof(gr_polyline),UnitRange{Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_polyline)),NamedTuple{(:arrowside, :arrowstyle), Tuple{Symbol, Symbol}},typeof(gr_polyline),Vector{Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_set_font)),NamedTuple{(:halign, :valign, :rotation), Tuple{Symbol, Symbol, Int64}},typeof(gr_set_font),Font,Subplot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_set_font)),NamedTuple{(:rotation, :color), Tuple{Int64, RGBA{Float64}}},typeof(gr_set_font),Font,Subplot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:alpha, :label, :seriestype), Tuple{Float64, String, Symbol}},typeof(plot!),Plot{GRBackend},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:alpha, :label, :seriestype), Tuple{Float64, String, Symbol}},typeof(plot!),Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:alpha, :seriestype), Tuple{Float64, Symbol}},typeof(plot!),Plot{GRBackend},Vector{GeometryBasics.Point2{Float64}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:alpha, :seriestype), Tuple{Float64, Symbol}},typeof(plot!),Plot{PlotlyBackend},Vector{GeometryBasics.Point2{Float64}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:alpha, :seriestype), Tuple{Float64, Symbol}},typeof(plot!),Vector{GeometryBasics.Point2{Float64}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:annotation,), Tuple{Vector{Tuple{Int64, Float64, Tuple{String, Any, Any, Any}}}}},typeof(plot!)})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:c, :lw, :label), Tuple{Symbol, Int64, String}},typeof(plot!),Plot{GRBackend},Vector{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:c, :lw, :label), Tuple{Symbol, Int64, String}},typeof(plot!),Plot{PlotlyBackend},Vector{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:c, :lw, :label), Tuple{Symbol, Int64, String}},typeof(plot!),Vector{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:layout, :margin), Tuple{Matrix{Any}, AbsoluteLength}},typeof(plot!),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend},Vararg{Plot{GRBackend}, N} where N})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:legend,), Tuple{Bool}},typeof(plot!),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend},Vararg{Plot{GRBackend}, N} where N})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:legend,), Tuple{Bool}},typeof(plot!),Plot{PlotlyBackend},Plot{PlotlyBackend},Plot{PlotlyBackend},Vararg{Plot{PlotlyBackend}, N} where N})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:legend,), Tuple{Symbol}},typeof(plot!),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend},Vararg{Plot{GRBackend}, N} where N})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:legend,), Tuple{Symbol}},typeof(plot!),Plot{PlotlyBackend},Plot{PlotlyBackend},Plot{PlotlyBackend},Vararg{Plot{PlotlyBackend}, N} where N})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:line, :seriestype), Tuple{Tuple{Int64, Symbol, Float64, Matrix{Symbol}}, Symbol}},typeof(plot!),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:line, :seriestype), Tuple{Tuple{Int64, Symbol, Float64, Matrix{Symbol}}, Symbol}},typeof(plot!),Plot{GRBackend},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:line, :seriestype), Tuple{Tuple{Int64, Symbol, Float64, Matrix{Symbol}}, Symbol}},typeof(plot!),Plot{PlotlyBackend},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:lw, :color), Tuple{Int64, Symbol}},typeof(plot!),Function,Float64,Irrational{:π}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:lw, :color), Tuple{Int64, Symbol}},typeof(plot!),Plot{GRBackend},Function,Float64,Vararg{Any, N} where N})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:marker, :series_annotations, :seriestype), Tuple{Tuple{Int64, Float64, Symbol}, Vector{Any}, Symbol}},typeof(plot!),Plot{GRBackend},StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:marker, :series_annotations, :seriestype), Tuple{Tuple{Int64, Float64, Symbol}, Vector{Any}, Symbol}},typeof(plot!),Plot{PlotlyBackend},StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:marker, :series_annotations, :seriestype), Tuple{Tuple{Int64, Float64, Symbol}, Vector{Any}, Symbol}},typeof(plot!),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:markersize, :c, :seriestype), Tuple{Int64, Symbol, Symbol}},typeof(plot!),Plot{GRBackend},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:markersize, :c, :seriestype), Tuple{Int64, Symbol, Symbol}},typeof(plot!),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype, :inset), Tuple{Symbol, Tuple{Int64, BoundingBox{Tuple{Length{:w, Float64}, Length{:h, Float64}}, Tuple{Length{:w, Float64}, Length{:h, Float64}}}}}},typeof(plot!),Plot{GRBackend},Vector{Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype, :inset), Tuple{Symbol, Tuple{Int64, BoundingBox{Tuple{Length{:w, Float64}, Length{:h, Float64}}, Tuple{Length{:w, Float64}, Length{:h, Float64}}}}}},typeof(plot!),Plot{PlotlyBackend},Vector{Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype, :inset), Tuple{Symbol, Tuple{Int64, BoundingBox{Tuple{Length{:w, Float64}, Length{:h, Float64}}, Tuple{Length{:w, Float64}, Length{:h, Float64}}}}}},typeof(plot!),Vector{Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot!),Plot{GRBackend},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot!),Plot{PlotlyBackend},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot!),Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:title,), Tuple{String}},typeof(plot!),Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:title,), Tuple{String}},typeof(plot!),Plot{PlotlyBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:title,), Tuple{String}},typeof(plot!)})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:w,), Tuple{Int64}},typeof(plot!),Plot{GRBackend},Vector{Float64},Vector{Float64},Vararg{Any, N} where N})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:xgrid,), Tuple{Tuple{Symbol, Symbol, Int64, Symbol, Float64}}},typeof(plot!),Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:yaxis, :minorgrid), Tuple{Tuple{String, Symbol}, Bool}},typeof(plot!),Plot{PlotlyBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:yaxis, :minorgrid), Tuple{Tuple{String, Symbol}, Bool}},typeof(plot!)})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:zcolor, :m, :ms, :lab, :seriestype), Tuple{Vector{Float64}, Tuple{Symbol, Float64, Stroke}, Vector{Float64}, String, Symbol}},typeof(plot!),Plot{GRBackend},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:zcolor, :m, :ms, :lab, :seriestype), Tuple{Vector{Float64}, Tuple{Symbol, Float64, Stroke}, Vector{Float64}, String, Symbol}},typeof(plot!),Plot{PlotlyBackend},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:zcolor, :m, :ms, :lab, :seriestype), Tuple{Vector{Float64}, Tuple{Symbol, Float64, Stroke}, Vector{Float64}, String, Symbol}},typeof(plot!),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:annotations, :leg), Tuple{Tuple{Int64, Float64, PlotText}, Bool}},typeof(plot),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:aspect_ratio, :seriestype), Tuple{Int64, Symbol}},typeof(plot),Vector{String},Vector{String},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:bar_width, :alpha, :color, :fillto, :label, :seriestype), Tuple{Float64, Float64, Vector{Symbol}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, String, Symbol}},typeof(plot),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:bins, :weights, :seriestype), Tuple{Symbol, Vector{Int64}, Symbol}},typeof(plot),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:color, :line, :marker), Tuple{Matrix{Symbol}, Tuple{Symbol, Int64}, Tuple{Matrix{Symbol}, Int64, Float64, Stroke}}},typeof(plot),Vector{Vector{T} where T}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:connections, :title, :xlabel, :ylabel, :zlabel, :legend, :margin, :seriestype), Tuple{Tuple{Vector{Int64}, Vector{Int64}, Vector{Int64}}, String, String, String, String, Symbol, AbsoluteLength, Symbol}},typeof(plot),Vector{Int64},Vector{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:fill, :seriestype), Tuple{Bool, Symbol}},typeof(plot),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},Function})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:fill_z, :alpha, :label, :bar_width, :seriestype), Tuple{StepRange{Int64, Int64}, Vector{Float64}, String, UnitRange{Int64}, Symbol}},typeof(plot),Vector{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:framestyle, :title, :color, :layout, :label, :markerstrokewidth, :ticks, :seriestype), Tuple{Matrix{Symbol}, Matrix{String}, Base.ReshapedArray{Int64, 2, UnitRange{Int64}, Tuple{}}, Int64, String, Int64, UnitRange{Int64}, Symbol}},typeof(plot),Vector{Vector{Float64}},Vector{Vector{Float64}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:grid, :title), Tuple{Tuple{Symbol, Symbol, Symbol, Int64, Float64}, String}},typeof(plot),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:lab, :w, :palette, :fill, :α), Tuple{String, Int64, PlotUtils.ContinuousColorGradient, Int64, Float64}},typeof(plot),StepRange{Int64, Int64},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:label, :legend, :seriestype), Tuple{String, Symbol, Symbol}},typeof(plot),Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:label, :title, :xlabel, :linewidth, :legend), Tuple{Matrix{String}, String, String, Int64, Symbol}},typeof(plot),Vector{Function},Float64,Float64})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:label,), Tuple{Matrix{String}}},typeof(plot),Vector{AbstractVector{Float64}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :group, :linetype, :linecolor), Tuple{Matrix{Any}, Vector{String}, Matrix{Symbol}, Symbol}},typeof(plot),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :label, :fillrange, :fillalpha), Tuple{Tuple{Int64, Int64}, String, Int64, Float64}},typeof(plot),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :label, :fillrange, :fillalpha), Tuple{Tuple{Int64, Int64}, String, Int64, Float64}},typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend},Plot{PlotlyBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :link), Tuple{Int64, Symbol}},typeof(plot),Plot{GRBackend},Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :link), Tuple{Int64, Symbol}},typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :margin), Tuple{Matrix{Any}, AbsoluteLength}},typeof(plot),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend},Vararg{Plot{GRBackend}, N} where N})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :palette, :bg_inside), Tuple{Int64, Matrix{PlotUtils.ContinuousColorGradient}, Matrix{Symbol}}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :t, :leg, :ticks, :border), Tuple{Matrix{Any}, Matrix{Symbol}, Bool, Nothing, Symbol}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :title, :titlelocation, :left_margin, :bottom_margin, :xrotation), Tuple{Matrix{Any}, Matrix{String}, Symbol, Matrix{AbsoluteLength}, AbsoluteLength, Int64}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :xguide, :yguide, :xguidefonthalign, :yguidefontvalign, :xguideposition, :yguideposition, :ymirror, :xmirror, :legend, :seriestype), Tuple{Int64, String, String, Matrix{Symbol}, Matrix{Symbol}, Symbol, Matrix{Symbol}, Matrix{Bool}, Matrix{Bool}, Bool, Matrix{Symbol}}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :xlims), Tuple{Matrix{Any}, Tuple{Int64, Float64}}},typeof(plot),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout,), Tuple{Tuple{Int64, Int64}}},typeof(plot),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout,), Tuple{Tuple{Int64, Int64}}},typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend},Plot{PlotlyBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:legend,), Tuple{Bool}},typeof(plot),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend},Vararg{Plot{GRBackend}, N} where N})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:legend,), Tuple{Bool}},typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend},Plot{PlotlyBackend},Vararg{Plot{PlotlyBackend}, N} where N})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:legend,), Tuple{Symbol}},typeof(plot),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend},Vararg{Plot{GRBackend}, N} where N})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:legend,), Tuple{Symbol}},typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend},Plot{PlotlyBackend},Vararg{Plot{PlotlyBackend}, N} where N})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:legend,), Tuple{Symbol}},typeof(plot),Vector{Tuple{Int64, Real}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:line, :lab, :ms), Tuple{Tuple{Matrix{Symbol}, Int64}, Matrix{String}, Int64}},typeof(plot),Vector{Vector{T} where T},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:line, :label, :legendtitle), Tuple{Tuple{Int64, Matrix{Symbol}}, Matrix{String}, String}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:line, :leg, :fill), Tuple{Int64, Bool, Tuple{Int64, Symbol}}},typeof(plot),Function,Function,Int64,Vararg{Any, N} where N})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:line, :marker, :bg, :fg, :xlim, :ylim, :leg), Tuple{Tuple{Int64, Symbol, Symbol}, Tuple{Shape{Float64, Float64}, Int64, RGBA{Float64}}, Symbol, Symbol, Tuple{Int64, Int64}, Tuple{Int64, Int64}, Bool}},typeof(plot),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:line_z, :linewidth, :legend), Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Int64, Bool}},typeof(plot),Vector{Float64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:m, :markersize, :lab, :bg, :xlim, :ylim, :seriestype), Tuple{Matrix{Symbol}, Int64, Matrix{String}, Symbol, Tuple{Int64, Int64}, Tuple{Int64, Int64}, Symbol}},typeof(plot),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:marker,), Tuple{Bool}},typeof(plot),Vector{Union{Missing, Int64}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:marker_z, :color, :legend, :seriestype), Tuple{typeof(+), Symbol, Bool, Symbol}},typeof(plot),Vector{Float64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:markershape, :markersize, :marker_z, :line_z, :linewidth), Tuple{Matrix{Symbol}, Matrix{Int64}, Matrix{Int64}, Matrix{Int64}, Matrix{Int64}}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:markershape, :seriestype, :label), Tuple{Symbol, Symbol, String}},typeof(plot),UnitRange{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:nbins, :seriestype), Tuple{Int64, Symbol}},typeof(plot),Vector{Float64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:nbins, :show_empty_bins, :normed, :aspect_ratio, :seriestype), Tuple{Tuple{Int64, Int64}, Bool, Bool, Int64, Symbol}},typeof(plot),Vector{ComplexF64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:proj, :m), Tuple{Symbol, Int64}},typeof(plot),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:projection, :seriestype), Tuple{Symbol, Symbol}},typeof(plot),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},UnitRange{Int64},Matrix{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:quiver, :seriestype), Tuple{Tuple{Vector{Float64}, Vector{Float64}, Vector{Float64}}, Symbol}},typeof(plot),Vector{Float64},Vector{Float64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:reg, :fill), Tuple{Bool, Tuple{Int64, Symbol}}},typeof(plot),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:ribbon,), Tuple{Int64}},typeof(plot),UnitRange{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:ribbon,), Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}}},typeof(plot),UnitRange{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:ribbon,), Tuple{Tuple{LinRange{Float64}, LinRange{Float64}}}},typeof(plot),UnitRange{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:ribbon,), Tuple{typeof(sqrt)}},typeof(plot),UnitRange{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:seriescolor, :fillalpha), Tuple{Matrix{Symbol}, Matrix{Float64}}},typeof(plot),AreaPlot})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:seriestype, :markershape, :markersize, :color), Tuple{Matrix{Symbol}, Vector{Symbol}, Int64, Vector{Symbol}}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot),Vector{DateTime},UnitRange{Int64},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot),Vector{OHLC}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:st, :xlabel, :ylabel, :zlabel), Tuple{Symbol, String, String, String}},typeof(plot),Vector{Float64},Vector{Float64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:title, :l, :seriestype), Tuple{String, Float64, Symbol}},typeof(plot),Vector{String},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:title, :xflip, :yflip, :zflip, :zlabel, :grid, :ylabel, :minorgrid, :xlabel, :seriestype), Tuple{String, Bool, Bool, Bool, String, Bool, String, Bool, String, Symbol}},typeof(plot),Vector{Float64},Vector{Float64},Function})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:title, :xmirror, :ymirror, :zmirror, :zlabel, :grid, :ylabel, :minorgrid, :xlabel, :seriestype), Tuple{String, Bool, Bool, Bool, String, Bool, String, Bool, String, Symbol}},typeof(plot),Vector{Float64},Vector{Float64},Function})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:title, :zlabel, :grid, :ylabel, :minorgrid, :xlabel, :seriestype), Tuple{String, String, Bool, String, Bool, String, Symbol}},typeof(plot),Vector{Float64},Vector{Float64},Function})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:title,), Tuple{Matrix{String}}},typeof(plot),Plot{GRBackend},Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:title,), Tuple{Matrix{String}}},typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:w,), Tuple{Int64}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:xaxis, :background_color, :leg), Tuple{Tuple{String, Tuple{Int64, Int64}, StepRange{Int64, Int64}, Symbol}, RGB{Float64}, Bool}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:zcolor, :m, :leg, :cbar, :w), Tuple{StepRange{Int64, Int64}, Tuple{Int64, Float64, Symbol, Stroke}, Bool, Bool, Int64}},typeof(plot),Vector{Float64},Vector{Float64},UnitRange{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(portfoliocomposition)),Any,typeof(portfoliocomposition),Any,Vararg{Any, N} where N})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(scatter!)),Any,typeof(scatter!),Any})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(test_examples)),NamedTuple{(:skip, :disp), Tuple{Vector{Int64}, Bool}},typeof(test_examples),Symbol})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(test_examples)),NamedTuple{(:skip,), Tuple{Vector{Int64}}},typeof(test_examples),Symbol})
|
||||
Base.precompile(Tuple{Type{GridLayout},Int64,Vararg{Int64, N} where N})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},AbstractVector{OHLC}})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},PortfolioComposition})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:barbins}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:barhist}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:bar}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:bins2d}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:histogram2d}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:hline}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:hspan}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:lens}},AbstractPlot})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:pie}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:quiver}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:steppre}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:sticks}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:vline}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:vspan}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:xerror}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Vector{ComplexF64}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.add_series!),Plot{GRBackend},DefaultsDict})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.add_series!),Plot{PlotlyBackend},DefaultsDict})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.plot_setup!),Plot{GRBackend},Dict{Symbol, Any},Vector{Dict{Symbol, Any}}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.plot_setup!),Plot{PlotlyBackend},Dict{Symbol, Any},Vector{Dict{Symbol, Any}}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.preprocess_attributes!),Plot{GRBackend},DefaultsDict})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.process_sliced_series_attributes!),Plot{GRBackend},Vector{Dict{Symbol, Any}}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.process_sliced_series_attributes!),Plot{PlotlyBackend},Vector{Dict{Symbol, Any}}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.process_userrecipe!),Plot{GRBackend},Vector{Dict{Symbol, Any}},Dict{Symbol, Any}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.process_userrecipe!),Plot{PlotlyBackend},Vector{Dict{Symbol, Any}},Dict{Symbol, Any}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.unzip),Vector{GeometryBasics.Point2{Float64}}})
|
||||
Base.precompile(Tuple{typeof(_bin_centers),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}})
|
||||
Base.precompile(Tuple{typeof(_bin_centers),Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(_cbar_unique),Vector{Float64},String})
|
||||
Base.precompile(Tuple{typeof(_cbar_unique),Vector{Int64},String})
|
||||
Base.precompile(Tuple{typeof(_cbar_unique),Vector{Nothing},String})
|
||||
Base.precompile(Tuple{typeof(_cbar_unique),Vector{PlotUtils.ContinuousColorGradient},String})
|
||||
Base.precompile(Tuple{typeof(_cbar_unique),Vector{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}},String})
|
||||
Base.precompile(Tuple{typeof(_cbar_unique),Vector{Symbol},String})
|
||||
Base.precompile(Tuple{typeof(_cycle),UnitRange{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{typeof(_cycle),Vector{Float64},StepRange{Int64, Int64}})
|
||||
Base.precompile(Tuple{typeof(_cycle),Vector{Int64},StepRange{Int64, Int64}})
|
||||
Base.precompile(Tuple{typeof(_cycle),Vector{Int64},UnitRange{Int64}})
|
||||
Base.precompile(Tuple{typeof(_do_plot_show),Plot{GRBackend},Bool})
|
||||
Base.precompile(Tuple{typeof(_do_plot_show),Plot{PlotlyBackend},Bool})
|
||||
Base.precompile(Tuple{typeof(_heatmap_edges),Vector{Float64},Bool,Bool})
|
||||
Base.precompile(Tuple{typeof(_plot!),Plot,Any,Any})
|
||||
Base.precompile(Tuple{typeof(_preprocess_barlike),DefaultsDict,Base.OneTo{Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(_preprocess_binlike),DefaultsDict,StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(_update_min_padding!),GridLayout})
|
||||
Base.precompile(Tuple{typeof(_update_subplot_args),Plot{GRBackend},Subplot{GRBackend},Dict{Symbol, Any},Int64,Bool})
|
||||
Base.precompile(Tuple{typeof(_update_subplot_args),Plot{PlotlyBackend},Subplot{PlotlyBackend},Dict{Symbol, Any},Int64,Bool})
|
||||
Base.precompile(Tuple{typeof(_update_subplot_periphery),Subplot{GRBackend},Vector{Any}})
|
||||
Base.precompile(Tuple{typeof(_update_subplot_periphery),Subplot{PlotlyBackend},Vector{Any}})
|
||||
Base.precompile(Tuple{typeof(axis_limits),Subplot{GRBackend},Symbol,Bool,Bool})
|
||||
Base.precompile(Tuple{typeof(axis_limits),Subplot{PlotlyBackend},Symbol,Bool,Bool})
|
||||
Base.precompile(Tuple{typeof(backend),PlotlyBackend})
|
||||
Base.precompile(Tuple{typeof(bbox),AbsoluteLength,AbsoluteLength,AbsoluteLength,AbsoluteLength})
|
||||
Base.precompile(Tuple{typeof(bbox),Float64,Float64,Float64,Float64})
|
||||
Base.precompile(Tuple{typeof(build_layout),GridLayout,Int64,Vector{Plot}})
|
||||
Base.precompile(Tuple{typeof(convert_to_polar),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},Vector{Float64},Tuple{Int64, Float64}})
|
||||
Base.precompile(Tuple{typeof(default),Symbol,Bool})
|
||||
Base.precompile(Tuple{typeof(error_coords),Vector{Float64},Vector{Float64},Vector{Float64},Vararg{Vector{Float64}, N} where N})
|
||||
Base.precompile(Tuple{typeof(error_coords),Vector{Float64},Vector{Float64},Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(error_zipit),Tuple{Vector{Float64}, Vector{Float64}, Vector{Float64}}})
|
||||
Base.precompile(Tuple{typeof(fakedata),Int64,Int64})
|
||||
Base.precompile(Tuple{typeof(fakedata),MersenneTwister,Int64,Vararg{Int64, N} where N})
|
||||
Base.precompile(Tuple{typeof(get_minor_ticks),Subplot{GRBackend},Axis,Tuple{Vector{Float64}, Vector{String}}})
|
||||
Base.precompile(Tuple{typeof(get_minor_ticks),Subplot{GRBackend},Axis,Tuple{Vector{Int64}, Vector{String}}})
|
||||
Base.precompile(Tuple{typeof(get_series_color),SubArray{Symbol, 1, Vector{Symbol}, Tuple{UnitRange{Int64}}, true},Subplot{GRBackend},Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(get_series_color),Vector{Symbol},Subplot{GRBackend},Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(get_series_color),Vector{Symbol},Subplot{PlotlyBackend},Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(get_ticks),StepRange{Int64, Int64},Vector{Float64},Vector{Any},Tuple{Int64, Int64},Vararg{Any, N} where N})
|
||||
Base.precompile(Tuple{typeof(get_ticks),Symbol,Vector{Float64},Vector{Any},Tuple{Float64, Float64},Vararg{Any, N} where N})
|
||||
Base.precompile(Tuple{typeof(get_ticks),Symbol,Vector{Float64},Vector{Any},Tuple{Int64, Float64},Vararg{Any, N} where N})
|
||||
Base.precompile(Tuple{typeof(get_ticks),Symbol,Vector{Float64},Vector{Any},Tuple{Int64, Int64},Vararg{Any, N} where N})
|
||||
Base.precompile(Tuple{typeof(get_ticks),UnitRange{Int64},Vector{Float64},Vector{Any},Tuple{Float64, Float64},Vararg{Any, N} where N})
|
||||
Base.precompile(Tuple{typeof(get_xy),Vector{OHLC}})
|
||||
Base.precompile(Tuple{typeof(gr_add_legend),Subplot{GRBackend},NamedTuple{(:w, :h, :dy, :leftw, :textw, :rightw, :xoffset, :yoffset, :width_factor), NTuple{9, Float64}},Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_add_legend),Subplot{GRBackend},NamedTuple{(:w, :h, :dy, :leftw, :textw, :rightw, :xoffset, :yoffset, :width_factor), Tuple{Int64, Int64, Int64, Float64, Int64, Float64, Float64, Float64, Float64}},Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_display),Subplot{GRBackend},AbsoluteLength,AbsoluteLength,Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_contour),Series,StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},Matrix{Float64},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_heatmap),Series,Vector{Float64},Vector{Float64},Matrix{Float64},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_marker),Series,Float64,Float64,Tuple{Float64, Float64},Int64,Float64,Float64,Symbol})
|
||||
Base.precompile(Tuple{typeof(gr_draw_marker),Series,Float64,Float64,Tuple{Float64, Float64},Int64,Int64,Int64,Shape{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_marker),Series,Float64,Float64,Tuple{Float64, Float64},Int64,Int64,Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(gr_draw_marker),Series,Int64,Float64,Tuple{Float64, Float64},Int64,Float64,Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(gr_draw_marker),Series,Int64,Float64,Tuple{Float64, Float64},Int64,Int64,Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(gr_draw_marker),Series,Int64,Int64,Tuple{Float64, Float64},Int64,Int64,Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(gr_draw_markers),Series,Base.OneTo{Int64},Vector{Float64},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_markers),Series,StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},Vector{Float64},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,Base.OneTo{Int64},UnitRange{Int64},Tuple{Vector{Float64}, Vector{Float64}},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,Base.OneTo{Int64},Vector{Float64},Int64,Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,StepRange{Int64, Int64},Vector{Float64},Int64,Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,UnitRange{Int64},Vector{Float64},Int64,Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,UnitRange{Int64},Vector{Float64},Vector{Int64},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,Vector{Float64},Vector{Float64},Int64,Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_surface),Series,Vector{Float64},Vector{Float64},Matrix{Float64},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_surface),Series,Vector{Float64},Vector{Float64},Vector{Float64},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_fill_viewport),Vector{Float64},RGBA{Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_get_3d_axis_angle),Vector{Float64},Float64,Float64,Symbol})
|
||||
Base.precompile(Tuple{typeof(gr_get_ticks_size),Tuple{Vector{Float64}, Vector{String}},Int64})
|
||||
Base.precompile(Tuple{typeof(gr_label_ticks),Subplot{GRBackend},Symbol,Tuple{Vector{Float64}, Vector{String}}})
|
||||
Base.precompile(Tuple{typeof(gr_label_ticks),Subplot{GRBackend},Symbol,Tuple{Vector{Int64}, Vector{String}}})
|
||||
Base.precompile(Tuple{typeof(gr_label_ticks_3d),Subplot{GRBackend},Symbol,Tuple{Vector{Float64}, Vector{String}}})
|
||||
Base.precompile(Tuple{typeof(gr_polaraxes),Int64,Float64,Subplot{GRBackend}})
|
||||
Base.precompile(Tuple{typeof(gr_polyline),Vector{Float64},Vector{Float64},Function})
|
||||
Base.precompile(Tuple{typeof(gr_set_gradient),PlotUtils.ContinuousColorGradient})
|
||||
Base.precompile(Tuple{typeof(gr_text),Float64,Float64,String})
|
||||
Base.precompile(Tuple{typeof(gr_text_size),String})
|
||||
Base.precompile(Tuple{typeof(gr_update_viewport_legend!),Vector{Float64},Subplot{GRBackend},NamedTuple{(:w, :h, :dy, :leftw, :textw, :rightw, :xoffset, :yoffset, :width_factor), NTuple{9, Float64}}})
|
||||
Base.precompile(Tuple{typeof(gr_update_viewport_legend!),Vector{Float64},Subplot{GRBackend},NamedTuple{(:w, :h, :dy, :leftw, :textw, :rightw, :xoffset, :yoffset, :width_factor), Tuple{Int64, Int64, Int64, Float64, Int64, Float64, Float64, Float64, Float64}}})
|
||||
Base.precompile(Tuple{typeof(gr_viewport_from_bbox),Subplot{GRBackend},BoundingBox{Tuple{AbsoluteLength, AbsoluteLength}, Tuple{AbsoluteLength, AbsoluteLength}},AbsoluteLength,AbsoluteLength,Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(heatmap_edges),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},Symbol})
|
||||
Base.precompile(Tuple{typeof(heatmap_edges),UnitRange{Int64},Symbol})
|
||||
Base.precompile(Tuple{typeof(heatmap_edges),Vector{Float64},Symbol})
|
||||
Base.precompile(Tuple{typeof(ignorenan_minimum),Vector{Int64}})
|
||||
Base.precompile(Tuple{typeof(layout_args),NamedTuple{(:label, :blank), Tuple{Symbol, Bool}}})
|
||||
Base.precompile(Tuple{typeof(layout_args),NamedTuple{(:label, :width, :height), Tuple{Symbol, Symbol, Float64}}})
|
||||
Base.precompile(Tuple{typeof(make_fillrange_side),UnitRange{Int64},LinRange{Float64}})
|
||||
Base.precompile(Tuple{typeof(optimal_ticks_and_labels),Nothing,Tuple{Float64, Float64},Symbol,Function})
|
||||
Base.precompile(Tuple{typeof(optimal_ticks_and_labels),Nothing,Tuple{Float64, Float64},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(optimal_ticks_and_labels),Nothing,Tuple{Int64, Float64},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(optimal_ticks_and_labels),Nothing,Tuple{Int64, Int64},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(optimal_ticks_and_labels),StepRange{Int64, Int64},Tuple{Int64, Int64},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(optimal_ticks_and_labels),UnitRange{Int64},Tuple{Float64, Float64},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(partialcircle),Int64,Float64,Int64})
|
||||
Base.precompile(Tuple{typeof(plot!),Any})
|
||||
Base.precompile(Tuple{typeof(plot!),Plot,Plot,Plot,Vararg{Plot, N} where N})
|
||||
Base.precompile(Tuple{typeof(plot),Any,Any})
|
||||
Base.precompile(Tuple{typeof(plot),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend},Vararg{Plot{GRBackend}, N} where N})
|
||||
Base.precompile(Tuple{typeof(plot),Plot{GRBackend},Plot{GRBackend}})
|
||||
Base.precompile(Tuple{typeof(plot),Plot{GRBackend}})
|
||||
Base.precompile(Tuple{typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend},Plot{PlotlyBackend},Vararg{Plot{PlotlyBackend}, N} where N})
|
||||
Base.precompile(Tuple{typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend}})
|
||||
Base.precompile(Tuple{typeof(processGridArg!),Dict{Symbol, Any},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(processLineArg),Dict{Symbol, Any},Matrix{Symbol}})
|
||||
Base.precompile(Tuple{typeof(processLineArg),Dict{Symbol, Any},Symbol})
|
||||
Base.precompile(Tuple{typeof(processMarkerArg),Dict{Symbol, Any},Matrix{Symbol}})
|
||||
Base.precompile(Tuple{typeof(processMarkerArg),Dict{Symbol, Any},RGBA{Float64}})
|
||||
Base.precompile(Tuple{typeof(processMarkerArg),Dict{Symbol, Any},Shape{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(processMarkerArg),Dict{Symbol, Any},Symbol})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{GRBackend},Int64,Float64,PlotText})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{GRBackend},Int64,Float64,Tuple{String, Int64, Symbol, Symbol}})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{GRBackend},Int64,Float64,Tuple{String, Symbol, Int64, String}})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{PlotlyBackend},Int64,Float64,PlotText})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{PlotlyBackend},Int64,Float64,Tuple{String, Int64, Symbol, Symbol}})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{PlotlyBackend},Int64,Float64,Tuple{String, Symbol, Int64, String}})
|
||||
Base.precompile(Tuple{typeof(process_axis_arg!),Dict{Symbol, Any},StepRange{Int64, Int64},Symbol})
|
||||
Base.precompile(Tuple{typeof(process_axis_arg!),Dict{Symbol, Any},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(push!),Plot{GRBackend},Float64,Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(push!),Segments{Tuple{Float64, Float64, Float64}},Tuple{Int64, Int64, Float64},Tuple{Int64, Int64, Float64}})
|
||||
Base.precompile(Tuple{typeof(resetfontsizes)})
|
||||
Base.precompile(Tuple{typeof(scalefontsizes),Float64})
|
||||
Base.precompile(Tuple{typeof(series_annotations),Vector{Any}})
|
||||
Base.precompile(Tuple{typeof(slice_arg),Base.ReshapedArray{Int64, 2, UnitRange{Int64}, Tuple{}},Int64})
|
||||
Base.precompile(Tuple{typeof(slice_arg),Matrix{AbsoluteLength},Int64})
|
||||
Base.precompile(Tuple{typeof(slice_arg),Matrix{Bool},Int64})
|
||||
Base.precompile(Tuple{typeof(slice_arg),Matrix{Int64},Int64})
|
||||
Base.precompile(Tuple{typeof(slice_arg),Matrix{RGBA{Float64}},Int64})
|
||||
Base.precompile(Tuple{typeof(spy),Any})
|
||||
Base.precompile(Tuple{typeof(straightline_data),Tuple{Float64, Float64},Tuple{Float64, Float64},Vector{Float64},Vector{Float64},Int64})
|
||||
Base.precompile(Tuple{typeof(stroke),Int64,Vararg{Any, N} where N})
|
||||
Base.precompile(Tuple{typeof(title!),AbstractString})
|
||||
Base.precompile(Tuple{typeof(vline!),Any})
|
||||
Base.precompile(Tuple{typeof(warn_on_attr_dim_mismatch),Series,Vector{Float64},Vector{Float64},Nothing,Base.Iterators.Flatten{Vector{Tuple{SeriesSegment}}}})
|
||||
Base.precompile(Tuple{typeof(xgrid!),Plot{GRBackend},Symbol,Vararg{Any, N} where N})
|
||||
Base.precompile(Tuple{typeof(xlims),Subplot{PlotlyBackend}})
|
||||
isdefined(Plots, Symbol("#166#167")) && Base.precompile(Tuple{getfield(Plots, Symbol("#166#167")),Any})
|
||||
isdefined(Plots, Symbol("#2#6")) && Base.precompile(Tuple{getfield(Plots, Symbol("#2#6")),UnitRange{Int64}})
|
||||
isdefined(Plots, Symbol("#295#331")) && Base.precompile(Tuple{getfield(Plots, Symbol("#295#331"))})
|
||||
isdefined(Plots, Symbol("#316#352")) && Base.precompile(Tuple{getfield(Plots, Symbol("#316#352"))})
|
||||
isdefined(Plots, Symbol("#add_major_or_minor_segments#100")) && Base.precompile(Tuple{getfield(Plots, Symbol("#add_major_or_minor_segments#100")),Vector{Float64},Bool,Segments{Tuple{Float64, Float64}},Float64,Bool})
|
||||
isdefined(Plots, Symbol("#add_major_or_minor_segments#101")) && Base.precompile(Tuple{getfield(Plots, Symbol("#add_major_or_minor_segments#101")),Vector{Float64},Bool,Segments{Tuple{Float64, Float64, Float64}},Float64,Bool})
|
||||
let fbody = try __lookup_kwbody__(which(font, (Font,Vararg{Any, N} where N,))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}},typeof(font),Font,Vararg{Any, N} where N,))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(gr_polyline, (Vector{Float64},Vector{Float64},typeof(GR.fillarea),))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Symbol,Symbol,typeof(gr_polyline),Vector{Float64},Vector{Float64},typeof(GR.fillarea),))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(gr_set_font, (Font,Subplot{GRBackend},))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Symbol,Symbol,RGBA{Float64},Float64,typeof(gr_set_font),Font,Subplot{GRBackend},))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(plot!, (Any,))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Any,typeof(plot!),Any,))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(plot!, (Any,Vararg{Any, N} where N,))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Any,typeof(plot!),Any,Vararg{Any, N} where N,))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(plot!, (Plot,))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Any,typeof(plot!),Plot,))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(plot!, (Plot,Plot,))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Any,typeof(plot!),Plot,Plot,))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(plot!, (Plot,Plot,Plot,))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Any,typeof(plot!),Plot,Plot,Plot,))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(plot!, (Plot,Plot,Plot,Vararg{Plot, N} where N,))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Any,typeof(plot!),Plot,Plot,Plot,Vararg{Plot, N} where N,))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(plot, (Any,))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Any,typeof(plot),Any,))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(plot, (Any,Vararg{Any, N} where N,))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Any,typeof(plot),Any,Vararg{Any, N} where N,))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(scatter, (Any,Vararg{Any, N} where N,))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Any,typeof(scatter),Any,Vararg{Any, N} where N,))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(title!, (AbstractString,))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Any,typeof(title!),AbstractString,))
|
||||
end
|
||||
end
|
||||
end
|
||||
487
deps/SnoopCompile/precompile/1.7/precompile_Plots.jl
vendored
Normal file
@ -0,0 +1,487 @@
|
||||
# Use
|
||||
# @warnpcfail precompile(args...)
|
||||
# if you want to be warned when a precompile directive fails
|
||||
macro warnpcfail(ex::Expr)
|
||||
modl = __module__
|
||||
file = __source__.file === nothing ? "?" : String(__source__.file)
|
||||
line = __source__.line
|
||||
quote
|
||||
$(esc(ex)) || @warn """precompile directive
|
||||
$($(Expr(:quote, ex)))
|
||||
failed. Please report an issue in $($modl) (after checking for duplicates) or remove this directive.""" _file=$file _line=$line
|
||||
end
|
||||
end
|
||||
|
||||
|
||||
const __bodyfunction__ = Dict{Method,Any}()
|
||||
|
||||
# Find keyword "body functions" (the function that contains the body
|
||||
# as written by the developer, called after all missing keyword-arguments
|
||||
# have been assigned values), in a manner that doesn't depend on
|
||||
# gensymmed names.
|
||||
# `mnokw` is the method that gets called when you invoke it without
|
||||
# supplying any keywords.
|
||||
function __lookup_kwbody__(mnokw::Method)
|
||||
function getsym(arg)
|
||||
isa(arg, Symbol) && return arg
|
||||
@assert isa(arg, GlobalRef)
|
||||
return arg.name
|
||||
end
|
||||
|
||||
f = get(__bodyfunction__, mnokw, nothing)
|
||||
if f === nothing
|
||||
fmod = mnokw.module
|
||||
# The lowered code for `mnokw` should look like
|
||||
# %1 = mkw(kwvalues..., #self#, args...)
|
||||
# return %1
|
||||
# where `mkw` is the name of the "active" keyword body-function.
|
||||
ast = Base.uncompressed_ast(mnokw)
|
||||
if isa(ast, Core.CodeInfo) && length(ast.code) >= 2
|
||||
callexpr = ast.code[end-1]
|
||||
if isa(callexpr, Expr) && callexpr.head == :call
|
||||
fsym = callexpr.args[1]
|
||||
if isa(fsym, Symbol)
|
||||
f = getfield(fmod, fsym)
|
||||
elseif isa(fsym, GlobalRef)
|
||||
if fsym.mod === Core && fsym.name === :_apply
|
||||
f = getfield(mnokw.module, getsym(callexpr.args[2]))
|
||||
elseif fsym.mod === Core && fsym.name === :_apply_iterate
|
||||
f = getfield(mnokw.module, getsym(callexpr.args[3]))
|
||||
else
|
||||
f = getfield(fsym.mod, fsym.name)
|
||||
end
|
||||
else
|
||||
f = missing
|
||||
end
|
||||
else
|
||||
f = missing
|
||||
end
|
||||
else
|
||||
f = missing
|
||||
end
|
||||
__bodyfunction__[mnokw] = f
|
||||
end
|
||||
return f
|
||||
end
|
||||
|
||||
function _precompile_()
|
||||
ccall(:jl_generating_output, Cint, ()) == 1 || return nothing
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(Type)),NamedTuple{(:parent,), Tuple{GridLayout}},Type{Subplot},GRBackend})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(Type)),NamedTuple{(:parent,), Tuple{GridLayout}},Type{Subplot},PlotlyBackend})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(Type)),NamedTuple{(:parent,), Tuple{Subplot{GRBackend}}},Type{Subplot},GRBackend})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(Type)),NamedTuple{(:parent,), Tuple{Subplot{PlotlyBackend}}},Type{Subplot},PlotlyBackend})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(_make_hist)),NamedTuple{(:normed, :weights), Tuple{Bool, Nothing}},typeof(_make_hist),Tuple{Vector{Float64}, Vector{Float64}},Int64})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(_make_hist)),NamedTuple{(:normed, :weights), Tuple{Bool, Nothing}},typeof(_make_hist),Tuple{Vector{Float64}, Vector{Float64}},Tuple{Int64, Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(_make_hist)),NamedTuple{(:normed, :weights), Tuple{Bool, Nothing}},typeof(_make_hist),Tuple{Vector{Float64}},Symbol})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(_make_hist)),NamedTuple{(:normed, :weights), Tuple{Bool, Vector{Int64}}},typeof(_make_hist),Tuple{Vector{Float64}},Symbol})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(areaplot)),Any,typeof(areaplot),Any,Vararg{Any}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:flip,), Tuple{Bool}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:foreground_color_grid, :grid, :gridalpha, :gridstyle, :gridlinewidth), Tuple{RGBA{Float64}, Bool, Float64, Symbol, Int64}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:formatter,), Tuple{Symbol}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:formatter,), Tuple{typeof(datetimeformatter)}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:grid, :flip, :minorgrid, :guide), Tuple{Bool, Bool, Bool, String}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:grid, :lims), Tuple{Bool, Tuple{Float64, Float64}}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:grid, :lims, :flip), Tuple{Bool, Tuple{Float64, Float64}, Bool}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:grid, :minorgrid, :guide), Tuple{Bool, Bool, String}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:grid, :minorgrid, :mirror, :guide), Tuple{Bool, Bool, Bool, String}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:grid,), Tuple{Bool}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:guide,), Tuple{String}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:guide_position, :guidefontvalign, :mirror, :guide), Tuple{Symbol, Symbol, Bool, String}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:guidefonthalign, :guide_position, :mirror, :guide), Tuple{Symbol, Symbol, Bool, String}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:lims, :flip, :ticks, :guide), Tuple{Tuple{Int64, Int64}, Bool, StepRange{Int64, Int64}, String}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:lims,), Tuple{Tuple{Float64, Float64}}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:lims,), Tuple{Tuple{Int64, Float64}}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:lims,), Tuple{Tuple{Int64, Int64}}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:minorgrid, :scale, :guide), Tuple{Bool, Symbol, String}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:minorgrid,), Tuple{Bool}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:rotation,), Tuple{Int64}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:ticks,), Tuple{Nothing}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:ticks,), Tuple{UnitRange{Int64}}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(default)),NamedTuple{(:shape,), Tuple{Symbol}},typeof(default)})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(default)),NamedTuple{(:titlefont, :legendfontsize, :guidefont, :tickfont, :guide, :framestyle, :yminorgrid), Tuple{Tuple{Int64, String}, Int64, Tuple{Int64, Symbol}, Tuple{Int64, Symbol}, String, Symbol, Bool}},typeof(default)})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(font)),NamedTuple{(:family, :pointsize, :halign, :valign, :rotation, :color), Tuple{String, Int64, Symbol, Symbol, Float64, RGBA{Float64}}},typeof(font)})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(font)),NamedTuple{(:family, :pointsize, :valign, :halign, :rotation, :color), Tuple{String, Int64, Symbol, Symbol, Float64, RGBA{Float64}}},typeof(font)})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_polyline)),NamedTuple{(:arrowside, :arrowstyle), Tuple{Symbol, Symbol}},typeof(gr_polyline),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_polyline)),NamedTuple{(:arrowside, :arrowstyle), Tuple{Symbol, Symbol}},typeof(gr_polyline),StepRange{Int64, Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_polyline)),NamedTuple{(:arrowside, :arrowstyle), Tuple{Symbol, Symbol}},typeof(gr_polyline),UnitRange{Int64},UnitRange{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_polyline)),NamedTuple{(:arrowside, :arrowstyle), Tuple{Symbol, Symbol}},typeof(gr_polyline),UnitRange{Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_polyline)),NamedTuple{(:arrowside, :arrowstyle), Tuple{Symbol, Symbol}},typeof(gr_polyline),Vector{Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_set_font)),NamedTuple{(:halign, :valign, :rotation), Tuple{Symbol, Symbol, Int64}},typeof(gr_set_font),Font,Subplot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_set_font)),NamedTuple{(:rotation, :color), Tuple{Int64, RGBA{Float64}}},typeof(gr_set_font),Font,Subplot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(lens!)),Any,typeof(lens!),Any,Vararg{Any}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:alpha, :label, :seriestype), Tuple{Float64, String, Symbol}},typeof(plot!),Plot{GRBackend},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:alpha, :label, :seriestype), Tuple{Float64, String, Symbol}},typeof(plot!),Plot{PlotlyBackend},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:alpha, :label, :seriestype), Tuple{Float64, String, Symbol}},typeof(plot!),Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:alpha, :seriestype), Tuple{Float64, Symbol}},typeof(plot!),Plot{GRBackend},Vector{GeometryBasics.Point2{Float64}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:alpha, :seriestype), Tuple{Float64, Symbol}},typeof(plot!),Plot{PlotlyBackend},Vector{GeometryBasics.Point2{Float64}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:alpha, :seriestype), Tuple{Float64, Symbol}},typeof(plot!),Vector{GeometryBasics.Point2{Float64}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:annotation,), Tuple{Vector{Tuple{Int64, Float64, Tuple{String, Any, Any, Any}}}}},typeof(plot!)})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:c, :lw, :label), Tuple{Symbol, Int64, String}},typeof(plot!),Plot{GRBackend},Vector{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:c, :lw, :label), Tuple{Symbol, Int64, String}},typeof(plot!),Plot{PlotlyBackend},Vector{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:c, :lw, :label), Tuple{Symbol, Int64, String}},typeof(plot!),Vector{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:layout, :margin), Tuple{Matrix{Any}, AbsoluteLength}},typeof(plot!),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend},Vararg{Plot{GRBackend}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:legend,), Tuple{Bool}},typeof(plot!),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend},Vararg{Plot{GRBackend}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:legend,), Tuple{Bool}},typeof(plot!),Plot{PlotlyBackend},Plot{PlotlyBackend},Plot{PlotlyBackend},Vararg{Plot{PlotlyBackend}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:legend,), Tuple{Symbol}},typeof(plot!),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend},Vararg{Plot{GRBackend}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:legend,), Tuple{Symbol}},typeof(plot!),Plot{PlotlyBackend},Plot{PlotlyBackend},Plot{PlotlyBackend},Vararg{Plot{PlotlyBackend}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:line, :seriestype), Tuple{Tuple{Int64, Symbol, Float64, Matrix{Symbol}}, Symbol}},typeof(plot!),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:line, :seriestype), Tuple{Tuple{Int64, Symbol, Float64, Matrix{Symbol}}, Symbol}},typeof(plot!),Plot{GRBackend},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:line, :seriestype), Tuple{Tuple{Int64, Symbol, Float64, Matrix{Symbol}}, Symbol}},typeof(plot!),Plot{PlotlyBackend},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:lw, :color), Tuple{Int64, Symbol}},typeof(plot!),Function,Float64,Irrational{:π}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:lw, :color), Tuple{Int64, Symbol}},typeof(plot!),Plot{GRBackend},Function,Float64,Vararg{Any}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:marker, :series_annotations, :seriestype), Tuple{Tuple{Int64, Float64, Symbol}, Vector{Any}, Symbol}},typeof(plot!),Plot{GRBackend},StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:marker, :series_annotations, :seriestype), Tuple{Tuple{Int64, Float64, Symbol}, Vector{Any}, Symbol}},typeof(plot!),Plot{PlotlyBackend},StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:marker, :series_annotations, :seriestype), Tuple{Tuple{Int64, Float64, Symbol}, Vector{Any}, Symbol}},typeof(plot!),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:markersize, :c, :seriestype), Tuple{Int64, Symbol, Symbol}},typeof(plot!),Plot{GRBackend},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:markersize, :c, :seriestype), Tuple{Int64, Symbol, Symbol}},typeof(plot!),Plot{PlotlyBackend},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:markersize, :c, :seriestype), Tuple{Int64, Symbol, Symbol}},typeof(plot!),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype, :inset), Tuple{Symbol, Tuple{Int64, BoundingBox{Tuple{Length{:w, Float64}, Length{:h, Float64}}, Tuple{Length{:w, Float64}, Length{:h, Float64}}}}}},typeof(plot!),Plot{GRBackend},Vector{Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype, :inset), Tuple{Symbol, Tuple{Int64, BoundingBox{Tuple{Length{:w, Float64}, Length{:h, Float64}}, Tuple{Length{:w, Float64}, Length{:h, Float64}}}}}},typeof(plot!),Plot{PlotlyBackend},Vector{Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype, :inset), Tuple{Symbol, Tuple{Int64, BoundingBox{Tuple{Length{:w, Float64}, Length{:h, Float64}}, Tuple{Length{:w, Float64}, Length{:h, Float64}}}}}},typeof(plot!),Vector{Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot!),Plot{GRBackend},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot!),Plot{PlotlyBackend},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot!),Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:title,), Tuple{String}},typeof(plot!),Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:title,), Tuple{String}},typeof(plot!),Plot{PlotlyBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:title,), Tuple{String}},typeof(plot!)})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:w,), Tuple{Int64}},typeof(plot!),Plot{GRBackend},Vector{Float64},Vector{Float64},Vararg{Any}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:xgrid,), Tuple{Tuple{Symbol, Symbol, Int64, Symbol, Float64}}},typeof(plot!),Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:yaxis, :minorgrid), Tuple{Tuple{String, Symbol}, Bool}},typeof(plot!),Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:yaxis, :minorgrid), Tuple{Tuple{String, Symbol}, Bool}},typeof(plot!)})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:zcolor, :m, :ms, :lab, :seriestype), Tuple{Vector{Float64}, Tuple{Symbol, Float64, Stroke}, Vector{Float64}, String, Symbol}},typeof(plot!),Plot{GRBackend},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:zcolor, :m, :ms, :lab, :seriestype), Tuple{Vector{Float64}, Tuple{Symbol, Float64, Stroke}, Vector{Float64}, String, Symbol}},typeof(plot!),Plot{PlotlyBackend},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:zcolor, :m, :ms, :lab, :seriestype), Tuple{Vector{Float64}, Tuple{Symbol, Float64, Stroke}, Vector{Float64}, String, Symbol}},typeof(plot!),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:annotations, :leg), Tuple{Tuple{Int64, Float64, PlotText}, Bool}},typeof(plot),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:arrow,), Tuple{Int64}},typeof(plot),Vector{Float64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:aspect_ratio, :seriestype), Tuple{Int64, Symbol}},typeof(plot),Vector{String},Vector{String},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:bar_width, :alpha, :color, :fillto, :label, :seriestype), Tuple{Float64, Float64, Vector{Symbol}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, String, Symbol}},typeof(plot),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:bins, :weights, :seriestype), Tuple{Symbol, Vector{Int64}, Symbol}},typeof(plot),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:color, :line, :marker), Tuple{Matrix{Symbol}, Tuple{Symbol, Int64}, Tuple{Matrix{Symbol}, Int64, Float64, Stroke}}},typeof(plot),Vector{Vector}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:connections, :title, :xlabel, :ylabel, :zlabel, :legend, :margin, :seriestype), Tuple{Tuple{Vector{Int64}, Vector{Int64}, Vector{Int64}}, String, String, String, String, Symbol, AbsoluteLength, Symbol}},typeof(plot),Vector{Int64},Vector{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:fill, :seriestype), Tuple{Bool, Symbol}},typeof(plot),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Function})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:fill_z, :alpha, :label, :bar_width, :seriestype), Tuple{StepRange{Int64, Int64}, Vector{Float64}, String, UnitRange{Int64}, Symbol}},typeof(plot),Vector{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:framestyle, :title, :color, :layout, :label, :markerstrokewidth, :ticks, :seriestype), Tuple{Matrix{Symbol}, Matrix{String}, Base.ReshapedArray{Int64, 2, UnitRange{Int64}, Tuple{}}, Int64, String, Int64, UnitRange{Int64}, Symbol}},typeof(plot),Vector{Vector{Float64}},Vector{Vector{Float64}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:grid, :title), Tuple{Tuple{Symbol, Symbol, Symbol, Int64, Float64}, String}},typeof(plot),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:lab, :w, :palette, :fill, :α), Tuple{String, Int64, PlotUtils.ContinuousColorGradient, Int64, Float64}},typeof(plot),StepRange{Int64, Int64},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:label, :legend, :seriestype), Tuple{String, Symbol, Symbol}},typeof(plot),Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:label, :title, :xlabel, :linewidth, :legend), Tuple{Matrix{String}, String, String, Int64, Symbol}},typeof(plot),Vector{Function},Float64,Float64})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:label,), Tuple{Matrix{String}}},typeof(plot),Vector{AbstractVector{Float64}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:labels,), Tuple{Matrix{String}}},typeof(plot),PortfolioComposition})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :group, :linetype, :linecolor), Tuple{Matrix{Any}, Vector{String}, Matrix{Symbol}, Symbol}},typeof(plot),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :label, :fillrange, :fillalpha), Tuple{Tuple{Int64, Int64}, String, Int64, Float64}},typeof(plot),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :label, :fillrange, :fillalpha), Tuple{Tuple{Int64, Int64}, String, Int64, Float64}},typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend},Plot{PlotlyBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :link), Tuple{Int64, Symbol}},typeof(plot),Plot{GRBackend},Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :link), Tuple{Int64, Symbol}},typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :margin), Tuple{Matrix{Any}, AbsoluteLength}},typeof(plot),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend},Vararg{Plot{GRBackend}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :palette, :bg_inside), Tuple{Int64, Matrix{PlotUtils.ContinuousColorGradient}, Matrix{Symbol}}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :t, :leg, :ticks, :border), Tuple{Matrix{Any}, Matrix{Symbol}, Bool, Nothing, Symbol}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :title, :titlelocation, :left_margin, :bottom_margin, :xrotation), Tuple{Matrix{Any}, Matrix{String}, Symbol, Matrix{AbsoluteLength}, AbsoluteLength, Int64}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :xguide, :yguide, :xguidefonthalign, :yguidefontvalign, :xguideposition, :yguideposition, :ymirror, :xmirror, :legend, :seriestype), Tuple{Int64, String, String, Matrix{Symbol}, Matrix{Symbol}, Symbol, Matrix{Symbol}, Matrix{Bool}, Matrix{Bool}, Bool, Matrix{Symbol}}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :xlims), Tuple{Matrix{Any}, Tuple{Int64, Float64}}},typeof(plot),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout,), Tuple{Tuple{Int64, Int64}}},typeof(plot),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout,), Tuple{Tuple{Int64, Int64}}},typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend},Plot{PlotlyBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:legend,), Tuple{Bool}},typeof(plot),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend},Vararg{Plot{GRBackend}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:legend,), Tuple{Bool}},typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend},Plot{PlotlyBackend},Vararg{Plot{PlotlyBackend}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:legend,), Tuple{Symbol}},typeof(plot),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend},Vararg{Plot{GRBackend}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:legend,), Tuple{Symbol}},typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend},Plot{PlotlyBackend},Vararg{Plot{PlotlyBackend}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:legend,), Tuple{Symbol}},typeof(plot),Vector{Tuple{Int64, Real}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:line, :lab, :ms), Tuple{Tuple{Matrix{Symbol}, Int64}, Matrix{String}, Int64}},typeof(plot),Vector{Vector},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:line, :label, :legendtitle), Tuple{Tuple{Int64, Matrix{Symbol}}, Matrix{String}, String}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:line, :leg, :fill), Tuple{Int64, Bool, Tuple{Int64, Symbol}}},typeof(plot),Function,Function,Int64,Vararg{Any}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:line, :marker, :bg, :fg, :xlim, :ylim, :leg), Tuple{Tuple{Int64, Symbol, Symbol}, Tuple{Shape{Float64, Float64}, Int64, RGBA{Float64}}, Symbol, Symbol, Tuple{Int64, Int64}, Tuple{Int64, Int64}, Bool}},typeof(plot),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:line_z, :linewidth, :legend), Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, Int64, Bool}},typeof(plot),Vector{Float64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:m, :markersize, :lab, :bg, :xlim, :ylim, :seriestype), Tuple{Matrix{Symbol}, Int64, Matrix{String}, Symbol, Tuple{Int64, Int64}, Tuple{Int64, Int64}, Symbol}},typeof(plot),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:marker,), Tuple{Bool}},typeof(plot),Vector{Union{Missing, Int64}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:marker_z, :color, :legend, :seriestype), Tuple{typeof(+), Symbol, Bool, Symbol}},typeof(plot),Vector{Float64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:markershape, :markersize, :marker_z, :line_z, :linewidth), Tuple{Matrix{Symbol}, Matrix{Int64}, Matrix{Int64}, Matrix{Int64}, Matrix{Int64}}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:markershape, :seriestype, :label), Tuple{Symbol, Symbol, String}},typeof(plot),UnitRange{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:nbins, :seriestype), Tuple{Int64, Symbol}},typeof(plot),Vector{Float64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:nbins, :show_empty_bins, :normed, :aspect_ratio, :seriestype), Tuple{Tuple{Int64, Int64}, Bool, Bool, Int64, Symbol}},typeof(plot),Vector{ComplexF64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:proj, :m), Tuple{Symbol, Int64}},typeof(plot),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:projection, :seriestype), Tuple{Symbol, Symbol}},typeof(plot),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},UnitRange{Int64},Matrix{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:quiver, :seriestype), Tuple{Tuple{Vector{Float64}, Vector{Float64}, Vector{Float64}}, Symbol}},typeof(plot),Vector{Float64},Vector{Float64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:reg, :fill), Tuple{Bool, Tuple{Int64, Symbol}}},typeof(plot),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:ribbon,), Tuple{Int64}},typeof(plot),UnitRange{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:ribbon,), Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}},typeof(plot),UnitRange{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:ribbon,), Tuple{Tuple{LinRange{Float64, Int64}, LinRange{Float64, Int64}}}},typeof(plot),UnitRange{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:ribbon,), Tuple{typeof(sqrt)}},typeof(plot),UnitRange{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:seriescolor, :fillalpha), Tuple{Matrix{Symbol}, Matrix{Float64}}},typeof(plot),AreaPlot})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:seriestype, :markershape, :markersize, :color), Tuple{Matrix{Symbol}, Vector{Symbol}, Int64, Vector{Symbol}}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot),Vector{DateTime},UnitRange{Int64},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot),Vector{OHLC}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:st, :xlabel, :ylabel, :zlabel), Tuple{Symbol, String, String, String}},typeof(plot),Vector{Float64},Vector{Float64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:title, :l, :seriestype), Tuple{String, Float64, Symbol}},typeof(plot),Vector{String},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:title, :xflip, :yflip, :zflip, :zlabel, :grid, :ylabel, :minorgrid, :xlabel, :seriestype), Tuple{String, Bool, Bool, Bool, String, Bool, String, Bool, String, Symbol}},typeof(plot),Vector{Float64},Vector{Float64},Function})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:title, :xmirror, :ymirror, :zmirror, :zlabel, :grid, :ylabel, :minorgrid, :xlabel, :seriestype), Tuple{String, Bool, Bool, Bool, String, Bool, String, Bool, String, Symbol}},typeof(plot),Vector{Float64},Vector{Float64},Function})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:title, :zlabel, :grid, :ylabel, :minorgrid, :xlabel, :seriestype), Tuple{String, String, Bool, String, Bool, String, Symbol}},typeof(plot),Vector{Float64},Vector{Float64},Function})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:title,), Tuple{Matrix{String}}},typeof(plot),Plot{GRBackend},Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:title,), Tuple{Matrix{String}}},typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:w,), Tuple{Int64}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:xaxis, :background_color, :leg), Tuple{Tuple{String, Tuple{Int64, Int64}, StepRange{Int64, Int64}, Symbol}, RGB{Float64}, Bool}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:zcolor, :m, :leg, :cbar, :w), Tuple{StepRange{Int64, Int64}, Tuple{Int64, Float64, Symbol, Stroke}, Bool, Bool, Int64}},typeof(plot),Vector{Float64},Vector{Float64},UnitRange{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(portfoliocomposition)),Any,typeof(portfoliocomposition),Any,Vararg{Any}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(scatter!)),Any,typeof(scatter!),Any})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(test_examples)),NamedTuple{(:skip, :disp), Tuple{Vector{Int64}, Bool}},typeof(test_examples),Symbol})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(test_examples)),NamedTuple{(:skip,), Tuple{Vector{Int64}}},typeof(test_examples),Symbol})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(yaxis!)),Any,typeof(yaxis!),Any,Any})
|
||||
Base.precompile(Tuple{Type{GridLayout},Int64,Vararg{Int64}})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},AbstractVector{<:GeometryBasics.Point}})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},AbstractVector{OHLC}})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},PortfolioComposition})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:barbins}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:barhist}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:bar}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:bins2d}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:histogram2d}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:hline}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:hspan}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:lens}},AbstractPlot})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:pie}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:quiver}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:spy}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:steppre}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:sticks}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:vline}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:vspan}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:xerror}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Vector{ComplexF64}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.add_series!),Plot{GRBackend},DefaultsDict})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.add_series!),Plot{PlotlyBackend},DefaultsDict})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.plot_setup!),Plot{GRBackend},Dict{Symbol, Any},Vector{Dict{Symbol, Any}}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.plot_setup!),Plot{PlotlyBackend},Dict{Symbol, Any},Vector{Dict{Symbol, Any}}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.preprocess_attributes!),Plot{GRBackend},DefaultsDict})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.preprocess_axis_args!),Plot{GRBackend},Dict{Symbol, Any},Symbol})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.preprocess_axis_args!),Plot{PlotlyBackend},Dict{Symbol, Any},Symbol})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.process_sliced_series_attributes!),Plot{GRBackend},Vector{Dict{Symbol, Any}}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.process_sliced_series_attributes!),Plot{PlotlyBackend},Vector{Dict{Symbol, Any}}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.process_userrecipe!),Plot{GRBackend},Vector{Dict{Symbol, Any}},Dict{Symbol, Any}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.process_userrecipe!),Plot{PlotlyBackend},Vector{Dict{Symbol, Any}},Dict{Symbol, Any}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.unzip),Vector{GeometryBasics.Point2{Float64}}})
|
||||
Base.precompile(Tuple{typeof(_bin_centers),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}})
|
||||
Base.precompile(Tuple{typeof(_cbar_unique),Vector{Float64},String})
|
||||
Base.precompile(Tuple{typeof(_cbar_unique),Vector{Int64},String})
|
||||
Base.precompile(Tuple{typeof(_cbar_unique),Vector{Nothing},String})
|
||||
Base.precompile(Tuple{typeof(_cbar_unique),Vector{PlotUtils.ContinuousColorGradient},String})
|
||||
Base.precompile(Tuple{typeof(_cbar_unique),Vector{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}},String})
|
||||
Base.precompile(Tuple{typeof(_cbar_unique),Vector{Symbol},String})
|
||||
Base.precompile(Tuple{typeof(_cycle),Base.OneTo{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{typeof(_cycle),StepRange{Int64, Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{typeof(_cycle),UnitRange{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{typeof(_cycle),Vector{Float64},StepRange{Int64, Int64}})
|
||||
Base.precompile(Tuple{typeof(_cycle),Vector{Float64},UnitRange{Int64}})
|
||||
Base.precompile(Tuple{typeof(_cycle),Vector{Float64},Vector{Int64}})
|
||||
Base.precompile(Tuple{typeof(_cycle),Vector{Int64},StepRange{Int64, Int64}})
|
||||
Base.precompile(Tuple{typeof(_cycle),Vector{Int64},UnitRange{Int64}})
|
||||
Base.precompile(Tuple{typeof(_do_plot_show),Plot{GRBackend},Bool})
|
||||
Base.precompile(Tuple{typeof(_do_plot_show),Plot{PlotlyBackend},Bool})
|
||||
Base.precompile(Tuple{typeof(_heatmap_edges),Vector{Float64},Bool,Bool})
|
||||
Base.precompile(Tuple{typeof(_plot!),Plot,Any,Any})
|
||||
Base.precompile(Tuple{typeof(_preprocess_barlike),DefaultsDict,Base.OneTo{Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(_preprocess_binlike),DefaultsDict,StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(_replace_markershape),Vector{Symbol}})
|
||||
Base.precompile(Tuple{typeof(_update_min_padding!),GridLayout})
|
||||
Base.precompile(Tuple{typeof(_update_subplot_args),Plot{GRBackend},Subplot{GRBackend},Dict{Symbol, Any},Int64,Bool})
|
||||
Base.precompile(Tuple{typeof(_update_subplot_args),Plot{PlotlyBackend},Subplot{PlotlyBackend},Dict{Symbol, Any},Int64,Bool})
|
||||
Base.precompile(Tuple{typeof(_update_subplot_periphery),Subplot{GRBackend},Vector{Any}})
|
||||
Base.precompile(Tuple{typeof(_update_subplot_periphery),Subplot{PlotlyBackend},Vector{Any}})
|
||||
Base.precompile(Tuple{typeof(annotate!),AbstractVector{<:Tuple}})
|
||||
Base.precompile(Tuple{typeof(axis_limits),Subplot{GRBackend},Symbol,Bool,Bool})
|
||||
Base.precompile(Tuple{typeof(axis_limits),Subplot{PlotlyBackend},Symbol,Bool,Bool})
|
||||
Base.precompile(Tuple{typeof(backend),PlotlyBackend})
|
||||
Base.precompile(Tuple{typeof(bbox),AbsoluteLength,AbsoluteLength,AbsoluteLength,AbsoluteLength})
|
||||
Base.precompile(Tuple{typeof(bbox),Float64,Float64,Float64,Float64})
|
||||
Base.precompile(Tuple{typeof(build_layout),GridLayout,Int64,Vector{Plot}})
|
||||
Base.precompile(Tuple{typeof(convert_to_polar),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Vector{Float64},Tuple{Int64, Float64}})
|
||||
Base.precompile(Tuple{typeof(discrete_value!),Axis,Vector{Union{Missing, Float64}}})
|
||||
Base.precompile(Tuple{typeof(error_coords),Vector{Float64},Vector{Float64},Vector{Float64},Vararg{Vector{Float64}}})
|
||||
Base.precompile(Tuple{typeof(error_coords),Vector{Float64},Vector{Float64},Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(error_zipit),Tuple{Vector{Float64}, Vector{Float64}, Vector{Float64}}})
|
||||
Base.precompile(Tuple{typeof(fakedata),Int64,Int64})
|
||||
Base.precompile(Tuple{typeof(fakedata),TaskLocalRNG,Int64,Vararg{Int64}})
|
||||
Base.precompile(Tuple{typeof(get_minor_ticks),Subplot{GRBackend},Axis,Tuple{Vector{Float64}, Vector{String}}})
|
||||
Base.precompile(Tuple{typeof(get_minor_ticks),Subplot{GRBackend},Axis,Tuple{Vector{Int64}, Vector{String}}})
|
||||
Base.precompile(Tuple{typeof(get_series_color),SubArray{Symbol, 1, Vector{Symbol}, Tuple{UnitRange{Int64}}, true},Subplot{GRBackend},Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(get_series_color),Vector{Symbol},Subplot{GRBackend},Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(get_series_color),Vector{Symbol},Subplot{PlotlyBackend},Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(get_ticks),StepRange{Int64, Int64},Vector{Float64},Vector{Any},Tuple{Int64, Int64},Vararg{Any}})
|
||||
Base.precompile(Tuple{typeof(get_ticks),Symbol,Vector{Float64},Vector{Any},Tuple{Float64, Float64},Vararg{Any}})
|
||||
Base.precompile(Tuple{typeof(get_ticks),Symbol,Vector{Float64},Vector{Any},Tuple{Int64, Float64},Vararg{Any}})
|
||||
Base.precompile(Tuple{typeof(get_ticks),Symbol,Vector{Float64},Vector{Any},Tuple{Int64, Int64},Vararg{Any}})
|
||||
Base.precompile(Tuple{typeof(get_ticks),UnitRange{Int64},Vector{Float64},Vector{Any},Tuple{Float64, Float64},Vararg{Any}})
|
||||
Base.precompile(Tuple{typeof(get_xy),Vector{OHLC}})
|
||||
Base.precompile(Tuple{typeof(gr_add_legend),Subplot{GRBackend},NamedTuple{(:w, :h, :dy, :leftw, :textw, :rightw, :xoffset, :yoffset, :width_factor), NTuple{9, Float64}},Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_add_legend),Subplot{GRBackend},NamedTuple{(:w, :h, :dy, :leftw, :textw, :rightw, :xoffset, :yoffset, :width_factor), Tuple{Int64, Int64, Int64, Float64, Int64, Float64, Float64, Float64, Float64}},Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_display),Subplot{GRBackend},AbsoluteLength,AbsoluteLength,Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_contour),Series,StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Matrix{Float64},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_heatmap),Series,Vector{Float64},Vector{Float64},Matrix{Float64},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_marker),Series,Float64,Float64,Tuple{Float64, Float64},Int64,Float64,Float64,Symbol})
|
||||
Base.precompile(Tuple{typeof(gr_draw_marker),Series,Float64,Float64,Tuple{Float64, Float64},Int64,Int64,Int64,Shape{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_marker),Series,Float64,Float64,Tuple{Float64, Float64},Int64,Int64,Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(gr_draw_marker),Series,Int64,Float64,Tuple{Float64, Float64},Int64,Float64,Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(gr_draw_marker),Series,Int64,Float64,Tuple{Float64, Float64},Int64,Int64,Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(gr_draw_marker),Series,Int64,Int64,Tuple{Float64, Float64},Int64,Int64,Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(gr_draw_markers),Series,Base.OneTo{Int64},Vector{Float64},Tuple{Float64, Float64},Int64,Int64})
|
||||
Base.precompile(Tuple{typeof(gr_draw_markers),Series,Base.OneTo{Int64},Vector{Float64},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_markers),Series,StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Vector{Float64},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_markers),Series,UnitRange{Int64},Vector{Float64},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,Base.OneTo{Int64},UnitRange{Int64},Tuple{Vector{Float64}, Vector{Float64}},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,Base.OneTo{Int64},Vector{Float64},Int64,Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,Base.OneTo{Int64},Vector{Float64},Nothing,Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Vector{Float64},Nothing,Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,StepRange{Int64, Int64},Vector{Float64},Int64,Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,UnitRange{Int64},Vector{Float64},Int64,Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,UnitRange{Int64},Vector{Float64},Nothing,Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,UnitRange{Int64},Vector{Float64},Vector{Int64},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,Vector{Float64},Vector{Float64},Int64,Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,Vector{Float64},Vector{Float64},Nothing,Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,Vector{Int64},Vector{Int64},Nothing,Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_surface),Series,Vector{Float64},Vector{Float64},Matrix{Float64},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_surface),Series,Vector{Float64},Vector{Float64},Vector{Float64},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_fill_viewport),Vector{Float64},RGBA{Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_get_3d_axis_angle),Vector{Float64},Float64,Float64,Symbol})
|
||||
Base.precompile(Tuple{typeof(gr_get_ticks_size),Tuple{Vector{Float64}, Vector{String}},Int64})
|
||||
Base.precompile(Tuple{typeof(gr_get_ticks_size),Tuple{Vector{Int64}, Vector{String}},Int64})
|
||||
Base.precompile(Tuple{typeof(gr_label_ticks),Subplot{GRBackend},Symbol,Tuple{Vector{Float64}, Vector{String}}})
|
||||
Base.precompile(Tuple{typeof(gr_label_ticks),Subplot{GRBackend},Symbol,Tuple{Vector{Int64}, Vector{String}}})
|
||||
Base.precompile(Tuple{typeof(gr_label_ticks_3d),Subplot{GRBackend},Symbol,Tuple{Vector{Float64}, Vector{String}}})
|
||||
Base.precompile(Tuple{typeof(gr_polaraxes),Int64,Float64,Subplot{GRBackend}})
|
||||
Base.precompile(Tuple{typeof(gr_polyline),Vector{Float64},Vector{Float64},Function})
|
||||
Base.precompile(Tuple{typeof(gr_set_gradient),PlotUtils.ContinuousColorGradient})
|
||||
Base.precompile(Tuple{typeof(gr_text),Float64,Float64,String})
|
||||
Base.precompile(Tuple{typeof(gr_text_size),String})
|
||||
Base.precompile(Tuple{typeof(gr_update_viewport_legend!),Vector{Float64},Subplot{GRBackend},NamedTuple{(:w, :h, :dy, :leftw, :textw, :rightw, :xoffset, :yoffset, :width_factor), NTuple{9, Float64}}})
|
||||
Base.precompile(Tuple{typeof(gr_update_viewport_legend!),Vector{Float64},Subplot{GRBackend},NamedTuple{(:w, :h, :dy, :leftw, :textw, :rightw, :xoffset, :yoffset, :width_factor), Tuple{Int64, Int64, Int64, Float64, Int64, Float64, Float64, Float64, Float64}}})
|
||||
Base.precompile(Tuple{typeof(gr_viewport_from_bbox),Subplot{GRBackend},BoundingBox{Tuple{AbsoluteLength, AbsoluteLength}, Tuple{AbsoluteLength, AbsoluteLength}},AbsoluteLength,AbsoluteLength,Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(heatmap_edges),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Symbol})
|
||||
Base.precompile(Tuple{typeof(heatmap_edges),UnitRange{Int64},Symbol})
|
||||
Base.precompile(Tuple{typeof(heatmap_edges),Vector{Float64},Symbol})
|
||||
Base.precompile(Tuple{typeof(ignorenan_minimum),Vector{Int64}})
|
||||
Base.precompile(Tuple{typeof(layout_args),Matrix{Any}})
|
||||
Base.precompile(Tuple{typeof(layout_args),NamedTuple{(:label, :blank), Tuple{Symbol, Bool}}})
|
||||
Base.precompile(Tuple{typeof(layout_args),NamedTuple{(:label, :width, :height), Tuple{Symbol, Symbol, Float64}}})
|
||||
Base.precompile(Tuple{typeof(make_fillrange_side),UnitRange{Int64},LinRange{Float64, Int64}})
|
||||
Base.precompile(Tuple{typeof(optimal_ticks_and_labels),Nothing,Tuple{Float64, Float64},Symbol,Function})
|
||||
Base.precompile(Tuple{typeof(optimal_ticks_and_labels),Nothing,Tuple{Float64, Float64},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(optimal_ticks_and_labels),Nothing,Tuple{Int64, Float64},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(optimal_ticks_and_labels),Nothing,Tuple{Int64, Int64},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(optimal_ticks_and_labels),StepRange{Int64, Int64},Tuple{Int64, Int64},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(optimal_ticks_and_labels),UnitRange{Int64},Tuple{Float64, Float64},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(partialcircle),Float64,Float64,Int64})
|
||||
Base.precompile(Tuple{typeof(partialcircle),Int64,Float64,Int64})
|
||||
Base.precompile(Tuple{typeof(plot!),Any})
|
||||
Base.precompile(Tuple{typeof(plot!),Plot,Plot,Plot,Vararg{Plot}})
|
||||
Base.precompile(Tuple{typeof(plot),Any,Any})
|
||||
Base.precompile(Tuple{typeof(plot),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend},Vararg{Plot{GRBackend}}})
|
||||
Base.precompile(Tuple{typeof(plot),Plot{GRBackend},Plot{GRBackend}})
|
||||
Base.precompile(Tuple{typeof(plot),Plot{GRBackend}})
|
||||
Base.precompile(Tuple{typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend},Plot{PlotlyBackend},Vararg{Plot{PlotlyBackend}}})
|
||||
Base.precompile(Tuple{typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend}})
|
||||
Base.precompile(Tuple{typeof(processGridArg!),Dict{Symbol, Any},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(processLineArg),Dict{Symbol, Any},Matrix{Symbol}})
|
||||
Base.precompile(Tuple{typeof(processLineArg),Dict{Symbol, Any},Symbol})
|
||||
Base.precompile(Tuple{typeof(processMarkerArg),Dict{Symbol, Any},Bool})
|
||||
Base.precompile(Tuple{typeof(processMarkerArg),Dict{Symbol, Any},Matrix{Symbol}})
|
||||
Base.precompile(Tuple{typeof(processMarkerArg),Dict{Symbol, Any},RGBA{Float64}})
|
||||
Base.precompile(Tuple{typeof(processMarkerArg),Dict{Symbol, Any},Shape{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(processMarkerArg),Dict{Symbol, Any},Stroke})
|
||||
Base.precompile(Tuple{typeof(processMarkerArg),Dict{Symbol, Any},Symbol})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{GRBackend},Int64,Float64,PlotText})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{GRBackend},Int64,Float64,Tuple{String, Int64, Symbol, Symbol}})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{GRBackend},Int64,Float64,Tuple{String, Symbol, Int64, String}})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{PlotlyBackend},Int64,Float64,PlotText})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{PlotlyBackend},Int64,Float64,Tuple{String, Int64, Symbol, Symbol}})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{PlotlyBackend},Int64,Float64,Tuple{String, Symbol, Int64, String}})
|
||||
Base.precompile(Tuple{typeof(process_axis_arg!),Dict{Symbol, Any},StepRange{Int64, Int64},Symbol})
|
||||
Base.precompile(Tuple{typeof(process_axis_arg!),Dict{Symbol, Any},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(push!),Plot{GRBackend},Float64,Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(quiver_using_arrows),DefaultsDict})
|
||||
Base.precompile(Tuple{typeof(resetfontsizes)})
|
||||
Base.precompile(Tuple{typeof(scalefontsizes),Float64})
|
||||
Base.precompile(Tuple{typeof(series_annotations),Vector{Any}})
|
||||
Base.precompile(Tuple{typeof(slice_arg),Base.ReshapedArray{Int64, 2, UnitRange{Int64}, Tuple{}},Int64})
|
||||
Base.precompile(Tuple{typeof(slice_arg),Matrix{AbsoluteLength},Int64})
|
||||
Base.precompile(Tuple{typeof(slice_arg),Matrix{Bool},Int64})
|
||||
Base.precompile(Tuple{typeof(slice_arg),Matrix{Int64},Int64})
|
||||
Base.precompile(Tuple{typeof(slice_arg),Matrix{PlotUtils.ContinuousColorGradient},Int64})
|
||||
Base.precompile(Tuple{typeof(slice_arg),Matrix{RGBA{Float64}},Int64})
|
||||
Base.precompile(Tuple{typeof(slice_arg),Matrix{String},Int64})
|
||||
Base.precompile(Tuple{typeof(slice_arg),Matrix{Symbol},Int64})
|
||||
Base.precompile(Tuple{typeof(spy),Any})
|
||||
Base.precompile(Tuple{typeof(straightline_data),Tuple{Float64, Float64},Tuple{Float64, Float64},Vector{Float64},Vector{Float64},Int64})
|
||||
Base.precompile(Tuple{typeof(stroke),Int64,Vararg{Any}})
|
||||
Base.precompile(Tuple{typeof(text),String,Symbol})
|
||||
Base.precompile(Tuple{typeof(title!),AbstractString})
|
||||
Base.precompile(Tuple{typeof(vline!),Any})
|
||||
Base.precompile(Tuple{typeof(warn_on_attr_dim_mismatch),Series,Vector{Float64},Vector{Float64},Nothing,Base.Iterators.Flatten{Vector{Tuple{SeriesSegment}}}})
|
||||
Base.precompile(Tuple{typeof(xgrid!),Plot{GRBackend},Symbol,Vararg{Any}})
|
||||
Base.precompile(Tuple{typeof(xgrid!),Plot{PlotlyBackend},Symbol,Vararg{Any}})
|
||||
Base.precompile(Tuple{typeof(xlims),Subplot{PlotlyBackend}})
|
||||
isdefined(Plots, Symbol("#168#169")) && Base.precompile(Tuple{getfield(Plots, Symbol("#168#169")),Any})
|
||||
isdefined(Plots, Symbol("#170#171")) && Base.precompile(Tuple{getfield(Plots, Symbol("#170#171")),Any})
|
||||
isdefined(Plots, Symbol("#2#6")) && Base.precompile(Tuple{getfield(Plots, Symbol("#2#6")),UnitRange{Int64}})
|
||||
isdefined(Plots, Symbol("#301#337")) && Base.precompile(Tuple{getfield(Plots, Symbol("#301#337"))})
|
||||
isdefined(Plots, Symbol("#322#358")) && Base.precompile(Tuple{getfield(Plots, Symbol("#322#358"))})
|
||||
isdefined(Plots, Symbol("#add_major_or_minor_segments#102")) && Base.precompile(Tuple{getfield(Plots, Symbol("#add_major_or_minor_segments#102")),Vector{Float64},Bool,Segments{Tuple{Float64, Float64}},Float64,Bool})
|
||||
isdefined(Plots, Symbol("#add_major_or_minor_segments#103")) && Base.precompile(Tuple{getfield(Plots, Symbol("#add_major_or_minor_segments#103")),Vector{Float64},Bool,Segments{Tuple{Float64, Float64, Float64}},Float64,Bool})
|
||||
let fbody = try __lookup_kwbody__(which(annotate!, (AbstractVector{<:Tuple},))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Base.Pairs{Symbol, V, Tuple{Vararg{Symbol, N}}, NamedTuple{names, T}} where {V, N, names, T<:Tuple{Vararg{Any, N}}},typeof(annotate!),AbstractVector{<:Tuple},))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(font, (Font,Vararg{Any},))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}},typeof(font),Font,Vararg{Any},))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(gr_polyline, (Vector{Float64},Vector{Float64},typeof(GR.fillarea),))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Symbol,Symbol,typeof(gr_polyline),Vector{Float64},Vector{Float64},typeof(GR.fillarea),))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(gr_set_font, (Font,Subplot{GRBackend},))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Symbol,Symbol,RGBA{Float64},Float64,typeof(gr_set_font),Font,Subplot{GRBackend},))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(plot!, (Any,Vararg{Any},))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Base.Pairs{Symbol, V, Tuple{Vararg{Symbol, N}}, NamedTuple{names, T}} where {V, N, names, T<:Tuple{Vararg{Any, N}}},typeof(plot!),Any,Vararg{Any},))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(plot!, (Plot,Plot,))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Base.Pairs{Symbol, V, Tuple{Vararg{Symbol, N}}, NamedTuple{names, T}} where {V, N, names, T<:Tuple{Vararg{Any, N}}},typeof(plot!),Plot,Plot,))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(plot!, (Plot,Plot,Plot,))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Base.Pairs{Symbol, V, Tuple{Vararg{Symbol, N}}, NamedTuple{names, T}} where {V, N, names, T<:Tuple{Vararg{Any, N}}},typeof(plot!),Plot,Plot,Plot,))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(plot!, (Plot,Plot,Plot,Vararg{Plot},))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Base.Pairs{Symbol, V, Tuple{Vararg{Symbol, N}}, NamedTuple{names, T}} where {V, N, names, T<:Tuple{Vararg{Any, N}}},typeof(plot!),Plot,Plot,Plot,Vararg{Plot},))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(plot, (Any,))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Base.Pairs{Symbol, V, Tuple{Vararg{Symbol, N}}, NamedTuple{names, T}} where {V, N, names, T<:Tuple{Vararg{Any, N}}},typeof(plot),Any,))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(plot, (Any,Vararg{Any},))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Base.Pairs{Symbol, V, Tuple{Vararg{Symbol, N}}, NamedTuple{names, T}} where {V, N, names, T<:Tuple{Vararg{Any, N}}},typeof(plot),Any,Vararg{Any},))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(title!, (AbstractString,))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Base.Pairs{Symbol, V, Tuple{Vararg{Symbol, N}}, NamedTuple{names, T}} where {V, N, names, T<:Tuple{Vararg{Any, N}}},typeof(title!),AbstractString,))
|
||||
end
|
||||
end
|
||||
let fbody = try __lookup_kwbody__(which(yaxis!, (Any,Vararg{Any},))) catch missing end
|
||||
if !ismissing(fbody)
|
||||
precompile(fbody, (Base.Pairs{Symbol, V, Tuple{Vararg{Symbol, N}}, NamedTuple{names, T}} where {V, N, names, T<:Tuple{Vararg{Any, N}}},typeof(yaxis!),Any,Vararg{Any},))
|
||||
end
|
||||
end
|
||||
end
|
||||
282
deps/SnoopCompile/precompile/1.8/precompile_Plots.jl
vendored
Normal file
@ -0,0 +1,282 @@
|
||||
# Use
|
||||
# @warnpcfail precompile(args...)
|
||||
# if you want to be warned when a precompile directive fails
|
||||
macro warnpcfail(ex::Expr)
|
||||
modl = __module__
|
||||
file = __source__.file === nothing ? "?" : String(__source__.file)
|
||||
line = __source__.line
|
||||
quote
|
||||
$(esc(ex)) || @warn """precompile directive
|
||||
$($(Expr(:quote, ex)))
|
||||
failed. Please report an issue in $($modl) (after checking for duplicates) or remove this directive.""" _file=$file _line=$line
|
||||
end
|
||||
end
|
||||
|
||||
|
||||
function _precompile_()
|
||||
ccall(:jl_generating_output, Cint, ()) == 1 || return nothing
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(_make_hist)),NamedTuple{(:normed, :weights), Tuple{Bool, Nothing}},typeof(_make_hist),Tuple{Vector{Float64}, Vector{Float64}},Int64})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(_make_hist)),NamedTuple{(:normed, :weights), Tuple{Bool, Nothing}},typeof(_make_hist),Tuple{Vector{Float64}},Symbol})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(_make_hist)),NamedTuple{(:normed, :weights), Tuple{Bool, Vector{Int64}}},typeof(_make_hist),Tuple{Vector{Float64}},Symbol})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:formatter,), Tuple{typeof(datetimeformatter)}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:guide,), Tuple{String}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:guide_position, :guidefontvalign, :mirror, :guide), Tuple{Symbol, Symbol, Bool, String}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:lims,), Tuple{Tuple{Int64, Float64}}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:ticks,), Tuple{Nothing}},typeof(attr!),Axis})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(default)),NamedTuple{(:titlefont, :legendfontsize, :guidefont, :tickfont, :guide, :framestyle, :yminorgrid), Tuple{Tuple{Int64, String}, Int64, Tuple{Int64, Symbol}, Tuple{Int64, Symbol}, String, Symbol, Bool}},typeof(default)})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_polyline)),NamedTuple{(:arrowside, :arrowstyle), Tuple{Symbol, Symbol}},typeof(gr_polyline),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_polyline)),NamedTuple{(:arrowside, :arrowstyle), Tuple{Symbol, Symbol}},typeof(gr_polyline),StepRange{Int64, Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_polyline)),NamedTuple{(:arrowside, :arrowstyle), Tuple{Symbol, Symbol}},typeof(gr_polyline),UnitRange{Int64},UnitRange{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_polyline)),NamedTuple{(:arrowside, :arrowstyle), Tuple{Symbol, Symbol}},typeof(gr_polyline),UnitRange{Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_polyline)),NamedTuple{(:arrowside, :arrowstyle), Tuple{Symbol, Symbol}},typeof(gr_polyline),Vector{Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_set_font)),NamedTuple{(:halign, :valign, :rotation), Tuple{Symbol, Symbol, Int64}},typeof(gr_set_font),Font,Subplot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(gr_set_font)),NamedTuple{(:rotation, :color), Tuple{Int64, RGBA{Float64}}},typeof(gr_set_font),Font,Subplot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:alpha, :label, :seriestype), Tuple{Float64, String, Symbol}},typeof(plot!),Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:alpha, :seriestype), Tuple{Float64, Symbol}},typeof(plot!),Plot{GRBackend},Vector{GeometryBasics.Point2{Float64}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:alpha, :seriestype), Tuple{Float64, Symbol}},typeof(plot!),Plot{PlotlyBackend},Vector{GeometryBasics.Point2{Float64}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:alpha, :seriestype), Tuple{Float64, Symbol}},typeof(plot!),Vector{GeometryBasics.Point2{Float64}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:annotation,), Tuple{Vector{Tuple{Int64, Float64, Tuple{String, Any, Any, Any}}}}},typeof(plot!)})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:c, :lw, :label), Tuple{Symbol, Int64, String}},typeof(plot!),Plot{GRBackend},Vector{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:c, :lw, :label), Tuple{Symbol, Int64, String}},typeof(plot!),Plot{PlotlyBackend},Vector{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:c, :lw, :label), Tuple{Symbol, Int64, String}},typeof(plot!),Vector{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:layout, :margin), Tuple{Matrix{Any}, AbsoluteLength}},typeof(plot!),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend},Vararg{Plot{GRBackend}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:legend,), Tuple{Bool}},typeof(plot!),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend},Vararg{Plot{GRBackend}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:legend,), Tuple{Bool}},typeof(plot!),Plot{PlotlyBackend},Plot{PlotlyBackend},Plot{PlotlyBackend},Vararg{Plot{PlotlyBackend}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:legend,), Tuple{Symbol}},typeof(plot!),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend},Vararg{Plot{GRBackend}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:legend,), Tuple{Symbol}},typeof(plot!),Plot{PlotlyBackend},Plot{PlotlyBackend},Plot{PlotlyBackend},Vararg{Plot{PlotlyBackend}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:line, :seriestype), Tuple{Tuple{Int64, Symbol, Float64, Matrix{Symbol}}, Symbol}},typeof(plot!),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:line, :seriestype), Tuple{Tuple{Int64, Symbol, Float64, Matrix{Symbol}}, Symbol}},typeof(plot!),Plot{GRBackend},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:line, :seriestype), Tuple{Tuple{Int64, Symbol, Float64, Matrix{Symbol}}, Symbol}},typeof(plot!),Plot{PlotlyBackend},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:lw, :color), Tuple{Int64, Symbol}},typeof(plot!),Function,Float64,Irrational{:π}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:lw, :color), Tuple{Int64, Symbol}},typeof(plot!),Plot{GRBackend},Function,Float64,Vararg{Any}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:marker, :series_annotations, :seriestype), Tuple{Tuple{Int64, Float64, Symbol}, Vector{Any}, Symbol}},typeof(plot!),Plot{GRBackend},StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:marker, :series_annotations, :seriestype), Tuple{Tuple{Int64, Float64, Symbol}, Vector{Any}, Symbol}},typeof(plot!),Plot{PlotlyBackend},StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:marker, :series_annotations, :seriestype), Tuple{Tuple{Int64, Float64, Symbol}, Vector{Any}, Symbol}},typeof(plot!),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:markersize, :c, :seriestype), Tuple{Int64, Symbol, Symbol}},typeof(plot!),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype, :inset), Tuple{Symbol, Tuple{Int64, BoundingBox{Tuple{Length{:w, Float64}, Length{:h, Float64}}, Tuple{Length{:w, Float64}, Length{:h, Float64}}}}}},typeof(plot!),Plot{GRBackend},Vector{Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype, :inset), Tuple{Symbol, Tuple{Int64, BoundingBox{Tuple{Length{:w, Float64}, Length{:h, Float64}}, Tuple{Length{:w, Float64}, Length{:h, Float64}}}}}},typeof(plot!),Plot{PlotlyBackend},Vector{Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype, :inset), Tuple{Symbol, Tuple{Int64, BoundingBox{Tuple{Length{:w, Float64}, Length{:h, Float64}}, Tuple{Length{:w, Float64}, Length{:h, Float64}}}}}},typeof(plot!),Vector{Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot!),Plot{PlotlyBackend},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot!),Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:title,), Tuple{String}},typeof(plot!),Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:title,), Tuple{String}},typeof(plot!),Plot{PlotlyBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:title,), Tuple{String}},typeof(plot!)})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:w,), Tuple{Int64}},typeof(plot!),Plot{GRBackend},Vector{Float64},Vector{Float64},Vararg{Any}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:yaxis, :minorgrid), Tuple{Tuple{String, Symbol}, Bool}},typeof(plot!)})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:zcolor, :m, :ms, :lab, :seriestype), Tuple{Vector{Float64}, Tuple{Symbol, Float64, Stroke}, Vector{Float64}, String, Symbol}},typeof(plot!),Plot{GRBackend},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:zcolor, :m, :ms, :lab, :seriestype), Tuple{Vector{Float64}, Tuple{Symbol, Float64, Stroke}, Vector{Float64}, String, Symbol}},typeof(plot!),Plot{PlotlyBackend},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:zcolor, :m, :ms, :lab, :seriestype), Tuple{Vector{Float64}, Tuple{Symbol, Float64, Stroke}, Vector{Float64}, String, Symbol}},typeof(plot!),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:annotations, :leg), Tuple{Tuple{Int64, Float64, PlotText}, Bool}},typeof(plot),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:aspect_ratio, :seriestype), Tuple{Int64, Symbol}},typeof(plot),Vector{String},Vector{String},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:bar_width, :alpha, :color, :fillto, :label, :seriestype), Tuple{Float64, Float64, Vector{Symbol}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, String, Symbol}},typeof(plot),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:bins, :weights, :seriestype), Tuple{Symbol, Vector{Int64}, Symbol}},typeof(plot),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:color, :line, :marker), Tuple{Matrix{Symbol}, Tuple{Symbol, Int64}, Tuple{Matrix{Symbol}, Int64, Float64, Stroke}}},typeof(plot),Vector{Vector}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:connections, :title, :xlabel, :ylabel, :zlabel, :legend, :margin, :seriestype), Tuple{Tuple{Vector{Int64}, Vector{Int64}, Vector{Int64}}, String, String, String, String, Symbol, AbsoluteLength, Symbol}},typeof(plot),Vector{Int64},Vector{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:fill, :seriestype), Tuple{Bool, Symbol}},typeof(plot),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Function})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:fill_z, :alpha, :label, :bar_width, :seriestype), Tuple{StepRange{Int64, Int64}, Vector{Float64}, String, UnitRange{Int64}, Symbol}},typeof(plot),Vector{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:framestyle, :title, :color, :layout, :label, :markerstrokewidth, :ticks, :seriestype), Tuple{Matrix{Symbol}, Matrix{String}, Base.ReshapedArray{Int64, 2, UnitRange{Int64}, Tuple{}}, Int64, String, Int64, UnitRange{Int64}, Symbol}},typeof(plot),Vector{Vector{Float64}},Vector{Vector{Float64}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:grid, :title), Tuple{Tuple{Symbol, Symbol, Symbol, Int64, Float64}, String}},typeof(plot),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:lab, :w, :palette, :fill, :α), Tuple{String, Int64, PlotUtils.ContinuousColorGradient, Int64, Float64}},typeof(plot),StepRange{Int64, Int64},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:label, :legend, :seriestype), Tuple{String, Symbol, Symbol}},typeof(plot),Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:label, :title, :xlabel, :linewidth, :legend), Tuple{Matrix{String}, String, String, Int64, Symbol}},typeof(plot),Vector{Function},Float64,Float64})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:label,), Tuple{Matrix{String}}},typeof(plot),Vector{AbstractVector{Float64}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :group, :linetype, :linecolor), Tuple{Matrix{Any}, Vector{String}, Matrix{Symbol}, Symbol}},typeof(plot),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :label, :fillrange, :fillalpha), Tuple{Tuple{Int64, Int64}, String, Int64, Float64}},typeof(plot),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :label, :fillrange, :fillalpha), Tuple{Tuple{Int64, Int64}, String, Int64, Float64}},typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend},Plot{PlotlyBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :link), Tuple{Int64, Symbol}},typeof(plot),Plot{GRBackend},Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :link), Tuple{Int64, Symbol}},typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :palette, :bg_inside), Tuple{Int64, Matrix{PlotUtils.ContinuousColorGradient}, Matrix{Symbol}}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :t, :leg, :ticks, :border), Tuple{Matrix{Any}, Matrix{Symbol}, Bool, Nothing, Symbol}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :title, :titlelocation, :left_margin, :bottom_margin, :xrotation), Tuple{Matrix{Any}, Matrix{String}, Symbol, Matrix{AbsoluteLength}, AbsoluteLength, Int64}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :xguide, :yguide, :xguidefonthalign, :yguidefontvalign, :xguideposition, :yguideposition, :ymirror, :xmirror, :legend, :seriestype), Tuple{Int64, String, String, Matrix{Symbol}, Matrix{Symbol}, Symbol, Matrix{Symbol}, Matrix{Bool}, Matrix{Bool}, Bool, Matrix{Symbol}}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout, :xlims), Tuple{Matrix{Any}, Tuple{Int64, Float64}}},typeof(plot),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout,), Tuple{Tuple{Int64, Int64}}},typeof(plot),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:layout,), Tuple{Tuple{Int64, Int64}}},typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend},Plot{PlotlyBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:legend,), Tuple{Symbol}},typeof(plot),Vector{Tuple{Int64, Real}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:line, :lab, :ms), Tuple{Tuple{Matrix{Symbol}, Int64}, Matrix{String}, Int64}},typeof(plot),Vector{Vector},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:line, :label, :legendtitle), Tuple{Tuple{Int64, Matrix{Symbol}}, Matrix{String}, String}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:line, :leg, :fill), Tuple{Int64, Bool, Tuple{Int64, Symbol}}},typeof(plot),Function,Function,Int64,Vararg{Any}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:line, :marker, :bg, :fg, :xlim, :ylim, :leg), Tuple{Tuple{Int64, Symbol, Symbol}, Tuple{Shape{Float64, Float64}, Int64, RGBA{Float64}}, Symbol, Symbol, Tuple{Int64, Int64}, Tuple{Int64, Int64}, Bool}},typeof(plot),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:line_z, :linewidth, :legend), Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, Int64, Bool}},typeof(plot),Vector{Float64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:m, :markersize, :lab, :bg, :xlim, :ylim, :seriestype), Tuple{Matrix{Symbol}, Int64, Matrix{String}, Symbol, Tuple{Int64, Int64}, Tuple{Int64, Int64}, Symbol}},typeof(plot),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:marker,), Tuple{Bool}},typeof(plot),Vector{Union{Missing, Int64}}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:marker_z, :color, :legend, :seriestype), Tuple{typeof(+), Symbol, Bool, Symbol}},typeof(plot),Vector{Float64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:markershape, :markersize, :marker_z, :line_z, :linewidth), Tuple{Matrix{Symbol}, Matrix{Int64}, Matrix{Int64}, Matrix{Int64}, Matrix{Int64}}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:markershape, :seriestype, :label), Tuple{Symbol, Symbol, String}},typeof(plot),UnitRange{Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:nbins, :seriestype), Tuple{Int64, Symbol}},typeof(plot),Vector{Float64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:nbins, :show_empty_bins, :normed, :aspect_ratio, :seriestype), Tuple{Tuple{Int64, Int64}, Bool, Bool, Int64, Symbol}},typeof(plot),Vector{ComplexF64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:proj, :m), Tuple{Symbol, Int64}},typeof(plot),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:projection, :seriestype), Tuple{Symbol, Symbol}},typeof(plot),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},UnitRange{Int64},Matrix{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:quiver, :seriestype), Tuple{Tuple{Vector{Float64}, Vector{Float64}, Vector{Float64}}, Symbol}},typeof(plot),Vector{Float64},Vector{Float64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:reg, :fill), Tuple{Bool, Tuple{Int64, Symbol}}},typeof(plot),Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:ribbon,), Tuple{Tuple{LinRange{Float64, Int64}, LinRange{Float64, Int64}}}},typeof(plot),UnitRange{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:ribbon,), Tuple{typeof(sqrt)}},typeof(plot),UnitRange{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:seriestype, :markershape, :markersize, :color), Tuple{Matrix{Symbol}, Vector{Symbol}, Int64, Vector{Symbol}}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot),Vector{DateTime},UnitRange{Int64},Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot),Vector{OHLC}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:st, :xlabel, :ylabel, :zlabel), Tuple{Symbol, String, String, String}},typeof(plot),Vector{Float64},Vector{Float64},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:title, :l, :seriestype), Tuple{String, Float64, Symbol}},typeof(plot),Vector{String},Vector{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:title, :xflip, :yflip, :zflip, :zlabel, :grid, :ylabel, :minorgrid, :xlabel, :seriestype), Tuple{String, Bool, Bool, Bool, String, Bool, String, Bool, String, Symbol}},typeof(plot),Vector{Float64},Vector{Float64},Function})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:title, :xmirror, :ymirror, :zmirror, :zlabel, :grid, :ylabel, :minorgrid, :xlabel, :seriestype), Tuple{String, Bool, Bool, Bool, String, Bool, String, Bool, String, Symbol}},typeof(plot),Vector{Float64},Vector{Float64},Function})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:title, :zlabel, :grid, :ylabel, :minorgrid, :xlabel, :seriestype), Tuple{String, String, Bool, String, Bool, String, Symbol}},typeof(plot),Vector{Float64},Vector{Float64},Function})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:title,), Tuple{Matrix{String}}},typeof(plot),Plot{GRBackend},Plot{GRBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:title,), Tuple{Matrix{String}}},typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:w,), Tuple{Int64}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:xaxis, :background_color, :leg), Tuple{Tuple{String, Tuple{Int64, Int64}, StepRange{Int64, Int64}, Symbol}, RGB{Float64}, Bool}},typeof(plot),Matrix{Float64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:zcolor, :m, :leg, :cbar, :w), Tuple{StepRange{Int64, Int64}, Tuple{Int64, Float64, Symbol, Stroke}, Bool, Bool, Int64}},typeof(plot),Vector{Float64},Vector{Float64},UnitRange{Int64}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(portfoliocomposition)),Any,typeof(portfoliocomposition),Any,Vararg{Any}})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(test_examples)),NamedTuple{(:skip, :disp), Tuple{Vector{Int64}, Bool}},typeof(test_examples),Symbol})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(test_examples)),NamedTuple{(:skip,), Tuple{Vector{Int64}}},typeof(test_examples),Symbol})
|
||||
Base.precompile(Tuple{Core.kwftype(typeof(yaxis!)),Any,typeof(yaxis!),Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},AbstractVector{OHLC}})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},PortfolioComposition})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:barhist}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:bar}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:bins2d}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:histogram2d}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:hline}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:hspan}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:lens}},AbstractPlot})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:pie}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:quiver}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:sticks}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:vline}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:vspan}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:xerror}},Any,Any,Any})
|
||||
Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Vector{ComplexF64}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.add_series!),Plot{GRBackend},DefaultsDict})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.add_series!),Plot{PlotlyBackend},DefaultsDict})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.plot_setup!),Plot{GRBackend},Dict{Symbol, Any},Vector{Dict{Symbol, Any}}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.plot_setup!),Plot{PlotlyBackend},Dict{Symbol, Any},Vector{Dict{Symbol, Any}}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.preprocess_attributes!),Plot{GRBackend},DefaultsDict})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.process_sliced_series_attributes!),Plot{GRBackend},Vector{Dict{Symbol, Any}}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.process_sliced_series_attributes!),Plot{PlotlyBackend},Vector{Dict{Symbol, Any}}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.process_userrecipe!),Plot{GRBackend},Vector{Dict{Symbol, Any}},Dict{Symbol, Any}})
|
||||
Base.precompile(Tuple{typeof(RecipesPipeline.unzip),Vector{GeometryBasics.Point2{Float64}}})
|
||||
Base.precompile(Tuple{typeof(_bin_centers),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}})
|
||||
Base.precompile(Tuple{typeof(_cbar_unique),Vector{PlotUtils.ContinuousColorGradient},String})
|
||||
Base.precompile(Tuple{typeof(_cycle),StepRange{Int64, Int64},Vector{Int64}})
|
||||
Base.precompile(Tuple{typeof(_cycle),Vector{Float64},StepRange{Int64, Int64}})
|
||||
Base.precompile(Tuple{typeof(_cycle),Vector{Float64},Vector{Int64}})
|
||||
Base.precompile(Tuple{typeof(_do_plot_show),Plot{GRBackend},Bool})
|
||||
Base.precompile(Tuple{typeof(_do_plot_show),Plot{PlotlyBackend},Bool})
|
||||
Base.precompile(Tuple{typeof(_preprocess_barlike),DefaultsDict,Base.OneTo{Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(_preprocess_binlike),DefaultsDict,StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(_update_min_padding!),GridLayout})
|
||||
Base.precompile(Tuple{typeof(_update_subplot_args),Plot{GRBackend},Subplot{GRBackend},Dict{Symbol, Any},Int64,Bool})
|
||||
Base.precompile(Tuple{typeof(_update_subplot_args),Plot{PlotlyBackend},Subplot{PlotlyBackend},Dict{Symbol, Any},Int64,Bool})
|
||||
Base.precompile(Tuple{typeof(_update_subplot_periphery),Subplot{GRBackend},Vector{Any}})
|
||||
Base.precompile(Tuple{typeof(_update_subplot_periphery),Subplot{PlotlyBackend},Vector{Any}})
|
||||
Base.precompile(Tuple{typeof(annotate!),AbstractVector{<:Tuple}})
|
||||
Base.precompile(Tuple{typeof(axis_limits),Subplot{GRBackend},Symbol,Bool,Bool})
|
||||
Base.precompile(Tuple{typeof(axis_limits),Subplot{PlotlyBackend},Symbol,Bool,Bool})
|
||||
Base.precompile(Tuple{typeof(backend),PlotlyBackend})
|
||||
Base.precompile(Tuple{typeof(bbox),AbsoluteLength,AbsoluteLength,AbsoluteLength,AbsoluteLength})
|
||||
Base.precompile(Tuple{typeof(bbox),Float64,Float64,Float64,Float64})
|
||||
Base.precompile(Tuple{typeof(build_layout),GridLayout,Int64,Vector{Plot}})
|
||||
Base.precompile(Tuple{typeof(convert_to_polar),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Vector{Float64},Tuple{Int64, Float64}})
|
||||
Base.precompile(Tuple{typeof(error_coords),Vector{Float64},Vector{Float64},Vector{Float64},Vararg{Vector{Float64}}})
|
||||
Base.precompile(Tuple{typeof(error_coords),Vector{Float64},Vector{Float64},Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(error_zipit),Tuple{Vector{Float64}, Vector{Float64}, Vector{Float64}}})
|
||||
Base.precompile(Tuple{typeof(fakedata),Int64,Int64})
|
||||
Base.precompile(Tuple{typeof(get_minor_ticks),Subplot{GRBackend},Axis,Tuple{Vector{Float64}, Vector{String}}})
|
||||
Base.precompile(Tuple{typeof(get_minor_ticks),Subplot{GRBackend},Axis,Tuple{Vector{Int64}, Vector{String}}})
|
||||
Base.precompile(Tuple{typeof(get_series_color),SubArray{Symbol, 1, Vector{Symbol}, Tuple{UnitRange{Int64}}, true},Subplot{GRBackend},Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(get_series_color),Vector{Symbol},Subplot{GRBackend},Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(get_series_color),Vector{Symbol},Subplot{PlotlyBackend},Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(get_ticks),StepRange{Int64, Int64},Vector{Float64},Vector{Any},Tuple{Int64, Int64},Vararg{Any}})
|
||||
Base.precompile(Tuple{typeof(get_ticks),Symbol,Vector{Float64},Vector{Any},Tuple{Float64, Float64},Vararg{Any}})
|
||||
Base.precompile(Tuple{typeof(get_ticks),Symbol,Vector{Float64},Vector{Any},Tuple{Int64, Float64},Vararg{Any}})
|
||||
Base.precompile(Tuple{typeof(get_ticks),Symbol,Vector{Float64},Vector{Any},Tuple{Int64, Int64},Vararg{Any}})
|
||||
Base.precompile(Tuple{typeof(get_ticks),UnitRange{Int64},Vector{Float64},Vector{Any},Tuple{Float64, Float64},Vararg{Any}})
|
||||
Base.precompile(Tuple{typeof(get_xy),Vector{OHLC}})
|
||||
Base.precompile(Tuple{typeof(gr_add_legend),Subplot{GRBackend},NamedTuple{(:w, :h, :dy, :leftw, :textw, :rightw, :xoffset, :yoffset, :width_factor), NTuple{9, Float64}},Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_add_legend),Subplot{GRBackend},NamedTuple{(:w, :h, :dy, :leftw, :textw, :rightw, :xoffset, :yoffset, :width_factor), Tuple{Int64, Int64, Int64, Float64, Int64, Float64, Float64, Float64, Float64}},Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_display),Subplot{GRBackend},AbsoluteLength,AbsoluteLength,Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_contour),Series,StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Matrix{Float64},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_heatmap),Series,Vector{Float64},Vector{Float64},Matrix{Float64},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_marker),Series,Float64,Float64,Tuple{Float64, Float64},Int64,Float64,Float64,Symbol})
|
||||
Base.precompile(Tuple{typeof(gr_draw_marker),Series,Float64,Float64,Tuple{Float64, Float64},Int64,Int64,Int64,Shape{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_marker),Series,Float64,Float64,Tuple{Float64, Float64},Int64,Int64,Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(gr_draw_marker),Series,Int64,Float64,Tuple{Float64, Float64},Int64,Float64,Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(gr_draw_marker),Series,Int64,Float64,Tuple{Float64, Float64},Int64,Int64,Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(gr_draw_marker),Series,Int64,Int64,Tuple{Float64, Float64},Int64,Int64,Int64,Symbol})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,Base.OneTo{Int64},UnitRange{Int64},Tuple{Vector{Float64}, Vector{Float64}},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,Base.OneTo{Int64},Vector{Float64},Int64,Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,StepRange{Int64, Int64},Vector{Float64},Int64,Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_segments),Series,Vector{Float64},Vector{Float64},Int64,Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_surface),Series,Vector{Float64},Vector{Float64},Matrix{Float64},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_draw_surface),Series,Vector{Float64},Vector{Float64},Vector{Float64},Tuple{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_fill_viewport),Vector{Float64},RGBA{Float64}})
|
||||
Base.precompile(Tuple{typeof(gr_get_ticks_size),Tuple{Vector{Float64}, Vector{String}},Int64})
|
||||
Base.precompile(Tuple{typeof(gr_label_ticks),Subplot{GRBackend},Symbol,Tuple{Vector{Float64}, Vector{String}}})
|
||||
Base.precompile(Tuple{typeof(gr_label_ticks),Subplot{GRBackend},Symbol,Tuple{Vector{Int64}, Vector{String}}})
|
||||
Base.precompile(Tuple{typeof(gr_label_ticks_3d),Subplot{GRBackend},Symbol,Tuple{Vector{Float64}, Vector{String}}})
|
||||
Base.precompile(Tuple{typeof(gr_polaraxes),Int64,Float64,Subplot{GRBackend}})
|
||||
Base.precompile(Tuple{typeof(gr_set_gradient),PlotUtils.ContinuousColorGradient})
|
||||
Base.precompile(Tuple{typeof(gr_text),Float64,Float64,String})
|
||||
Base.precompile(Tuple{typeof(gr_text_size),String})
|
||||
Base.precompile(Tuple{typeof(gr_update_viewport_legend!),Vector{Float64},Subplot{GRBackend},NamedTuple{(:w, :h, :dy, :leftw, :textw, :rightw, :xoffset, :yoffset, :width_factor), NTuple{9, Float64}}})
|
||||
Base.precompile(Tuple{typeof(gr_update_viewport_legend!),Vector{Float64},Subplot{GRBackend},NamedTuple{(:w, :h, :dy, :leftw, :textw, :rightw, :xoffset, :yoffset, :width_factor), Tuple{Int64, Int64, Int64, Float64, Int64, Float64, Float64, Float64, Float64}}})
|
||||
Base.precompile(Tuple{typeof(gr_viewport_from_bbox),Subplot{GRBackend},BoundingBox{Tuple{AbsoluteLength, AbsoluteLength}, Tuple{AbsoluteLength, AbsoluteLength}},AbsoluteLength,AbsoluteLength,Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(heatmap_edges),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64},Symbol})
|
||||
Base.precompile(Tuple{typeof(heatmap_edges),UnitRange{Int64},Symbol})
|
||||
Base.precompile(Tuple{typeof(heatmap_edges),Vector{Float64},Symbol})
|
||||
Base.precompile(Tuple{typeof(ignorenan_minimum),Vector{Int64}})
|
||||
Base.precompile(Tuple{typeof(is_marker_supported),GRBackend,Vector{Symbol}})
|
||||
Base.precompile(Tuple{typeof(layout_args),Matrix{Any}})
|
||||
Base.precompile(Tuple{typeof(link_axes!),GridLayout,Symbol})
|
||||
Base.precompile(Tuple{typeof(optimal_ticks_and_labels),Nothing,Tuple{Float64, Float64},Symbol,Function})
|
||||
Base.precompile(Tuple{typeof(optimal_ticks_and_labels),Nothing,Tuple{Float64, Float64},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(optimal_ticks_and_labels),Nothing,Tuple{Int64, Float64},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(optimal_ticks_and_labels),Nothing,Tuple{Int64, Int64},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(optimal_ticks_and_labels),StepRange{Int64, Int64},Tuple{Int64, Int64},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(optimal_ticks_and_labels),UnitRange{Int64},Tuple{Float64, Float64},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(partialcircle),Int64,Float64,Int64})
|
||||
Base.precompile(Tuple{typeof(plot!),Plot,Plot,Plot,Vararg{Plot}})
|
||||
Base.precompile(Tuple{typeof(plot),Any,Any})
|
||||
Base.precompile(Tuple{typeof(plot),Plot{GRBackend},Plot{GRBackend},Plot{GRBackend},Vararg{Plot{GRBackend}}})
|
||||
Base.precompile(Tuple{typeof(plot),Plot{GRBackend},Plot{GRBackend}})
|
||||
Base.precompile(Tuple{typeof(plot),Plot{GRBackend}})
|
||||
Base.precompile(Tuple{typeof(plot),Plot{PlotlyBackend},Plot{PlotlyBackend}})
|
||||
Base.precompile(Tuple{typeof(processLineArg),Dict{Symbol, Any},Matrix{Symbol}})
|
||||
Base.precompile(Tuple{typeof(processMarkerArg),Dict{Symbol, Any},Matrix{Symbol}})
|
||||
Base.precompile(Tuple{typeof(processMarkerArg),Dict{Symbol, Any},RGBA{Float64}})
|
||||
Base.precompile(Tuple{typeof(processMarkerArg),Dict{Symbol, Any},Shape{Float64, Float64}})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{GRBackend},Int64,Float64,PlotText,Font})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{GRBackend},Int64,Float64,PlotText})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{GRBackend},Int64,Float64,Tuple{String, Int64, Symbol, Symbol},Font})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{GRBackend},Int64,Float64,Tuple{String, Int64, Symbol, Symbol}})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{GRBackend},Int64,Float64,Tuple{String, Symbol, Int64, String},Font})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{GRBackend},Int64,Float64,Tuple{String, Symbol, Int64, String}})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{PlotlyBackend},Int64,Float64,PlotText,Font})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{PlotlyBackend},Int64,Float64,PlotText})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{PlotlyBackend},Int64,Float64,Tuple{String, Int64, Symbol, Symbol},Font})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{PlotlyBackend},Int64,Float64,Tuple{String, Int64, Symbol, Symbol}})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{PlotlyBackend},Int64,Float64,Tuple{String, Symbol, Int64, String},Font})
|
||||
Base.precompile(Tuple{typeof(process_annotation),Subplot{PlotlyBackend},Int64,Float64,Tuple{String, Symbol, Int64, String}})
|
||||
Base.precompile(Tuple{typeof(process_axis_arg!),Dict{Symbol, Any},StepRange{Int64, Int64},Symbol})
|
||||
Base.precompile(Tuple{typeof(process_axis_arg!),Dict{Symbol, Any},Symbol,Symbol})
|
||||
Base.precompile(Tuple{typeof(push!),Plot{GRBackend},Float64,Vector{Float64}})
|
||||
Base.precompile(Tuple{typeof(push!),Segments{Tuple{Float64, Float64, Float64}},Tuple{Float64, Int64, Int64},Tuple{Float64, Int64, Int64}})
|
||||
Base.precompile(Tuple{typeof(resetfontsizes)})
|
||||
Base.precompile(Tuple{typeof(scalefontsizes),Float64})
|
||||
Base.precompile(Tuple{typeof(series_annotations),Vector{Any}})
|
||||
Base.precompile(Tuple{typeof(slice_arg),Matrix{AbsoluteLength},Int64})
|
||||
Base.precompile(Tuple{typeof(slice_arg),Matrix{Bool},Int64})
|
||||
Base.precompile(Tuple{typeof(slice_arg),Matrix{Int64},Int64})
|
||||
Base.precompile(Tuple{typeof(spy),Any})
|
||||
Base.precompile(Tuple{typeof(straightline_data),Tuple{Float64, Float64},Tuple{Float64, Float64},Vector{Float64},Vector{Float64},Int64})
|
||||
Base.precompile(Tuple{typeof(title!),AbstractString})
|
||||
Base.precompile(Tuple{typeof(update_child_bboxes!),GridLayout})
|
||||
Base.precompile(Tuple{typeof(update_clims),Float64,Float64,SubArray{Int64, 1, Vector{Int64}, Tuple{UnitRange{Int64}}, true},typeof(ignorenan_extrema)})
|
||||
Base.precompile(Tuple{typeof(warn_on_attr_dim_mismatch),Series,Vector{Float64},Vector{Float64},Nothing,Base.Iterators.Flatten{Vector{Tuple{SeriesSegment}}}})
|
||||
Base.precompile(Tuple{typeof(xgrid!),Plot{GRBackend},Symbol,Vararg{Any}})
|
||||
Base.precompile(Tuple{typeof(xgrid!),Plot{PlotlyBackend},Symbol,Vararg{Any}})
|
||||
Base.precompile(Tuple{typeof(xlims),Subplot{PlotlyBackend}})
|
||||
isdefined(Plots, Symbol("#2#6")) && Base.precompile(Tuple{getfield(Plots, Symbol("#2#6")),UnitRange{Int64}})
|
||||
isdefined(Plots, Symbol("#322#358")) && Base.precompile(Tuple{getfield(Plots, Symbol("#322#358"))})
|
||||
isdefined(Plots, Symbol("#add_major_or_minor_segments#102")) && Base.precompile(Tuple{getfield(Plots, Symbol("#add_major_or_minor_segments#102")),Vector{Float64},Bool,Segments{Tuple{Float64, Float64}},Float64,Bool})
|
||||
isdefined(Plots, Symbol("#add_major_or_minor_segments#103")) && Base.precompile(Tuple{getfield(Plots, Symbol("#add_major_or_minor_segments#103")),Vector{Float64},Bool,Segments{Tuple{Float64, Float64, Float64}},Float64,Bool})
|
||||
end
|
||||
4
deps/SnoopCompile/precompile_script.jl
vendored
Normal file
@ -0,0 +1,4 @@
|
||||
using Plots
|
||||
|
||||
Plots.test_examples(:gr, skip = Plots._backend_skips[:gr])
|
||||
Plots.test_examples(:plotly, skip = Plots._backend_skips[:plotly], disp = false)
|
||||
6
deps/SnoopCompile/snoop_bench.jl
vendored
Normal file
@ -0,0 +1,6 @@
|
||||
include("snoop_bot_config.jl")
|
||||
|
||||
snoop_bench(
|
||||
botconfig,
|
||||
joinpath(@__DIR__, "precompile_script.jl"),
|
||||
)
|
||||
6
deps/SnoopCompile/snoop_bot.jl
vendored
Normal file
@ -0,0 +1,6 @@
|
||||
include("snoop_bot_config.jl")
|
||||
|
||||
snoop_bot(
|
||||
botconfig,
|
||||
joinpath(@__DIR__, "precompile_script.jl"),
|
||||
)
|
||||
7
deps/SnoopCompile/snoop_bot_config.jl
vendored
Normal file
@ -0,0 +1,7 @@
|
||||
using CompileBot
|
||||
|
||||
botconfig = BotConfig(
|
||||
"Plots",
|
||||
version = ["1.6", "1.7", "1.8", "nightly"], # <<< keep these versions in sync with .github/workflows/SnoopCompile.yml
|
||||
# else_version = "nightly",
|
||||
)
|
||||
@ -1,142 +0,0 @@
|
||||
|
||||
module PlotExamples
|
||||
|
||||
using Plots
|
||||
using Colors
|
||||
|
||||
const DOCDIR = Pkg.dir("Plots") * "/docs"
|
||||
const IMGDIR = Pkg.dir("Plots") * "/img"
|
||||
|
||||
doc"""
|
||||
Holds all data needed for a documentation example... header, description, and plotting expression (Expr)
|
||||
"""
|
||||
type PlotExample
|
||||
header::String
|
||||
desc::String
|
||||
exprs::Vector{Expr}
|
||||
end
|
||||
|
||||
|
||||
# the examples we'll run for each
|
||||
const examples = PlotExample[
|
||||
PlotExample("Lines",
|
||||
"A simple line plot of the 3 columns.",
|
||||
[:(plot(rand(100,3)))]),
|
||||
PlotExample("Functions",
|
||||
"Plot multiple functions.",
|
||||
[:(plot(0:0.01:4π, [sin,cos]))]),
|
||||
PlotExample("",
|
||||
"You can also call it with plot(f, xmin, xmax).",
|
||||
[:(plot([sin,cos], 0, 4π))]),
|
||||
PlotExample("",
|
||||
"Or make a parametric plot with plot(fx, fy, umin, umax).",
|
||||
[:(plot(sin, x->sin(2x), 0, 2π))]),
|
||||
PlotExample("Global",
|
||||
"Change the guides/background without a separate call.",
|
||||
[:(plot(rand(10); title="TITLE", xlabel="XLABEL", ylabel="YLABEL", background_color = RGB(0.5,0.5,0.5)))]),
|
||||
PlotExample("Two-axis",
|
||||
"Use the `axis` or `axiss` arguments.\n\nNote: This is only supported with Qwt right now",
|
||||
[:(plot(Vector[randn(100), randn(100)*100]; axiss = [:left,:right], ylabel="LEFT", yrightlabel="RIGHT"))]),
|
||||
PlotExample("Vectors w/ pluralized args",
|
||||
"Plot multiple series with different numbers of points. Mix arguments that apply to all series (singular... see `marker`) with arguments unique to each series (pluralized... see `colors`).",
|
||||
[:(plot(Vector[rand(10), rand(20)]; marker=:ellipse, markersize=8, colors=[:red,:blue]))]),
|
||||
PlotExample("Build plot in pieces",
|
||||
"Start with a base plot...",
|
||||
[:(plot(rand(100)/3; reg=true, fillto=0))]),
|
||||
PlotExample("",
|
||||
"and add to it later.",
|
||||
[:(scatter!(rand(100); markersize=6, color=:blue))]),
|
||||
PlotExample("Heatmaps",
|
||||
"",
|
||||
[:(heatmap(randn(10000),randn(10000); nbins=100))]),
|
||||
PlotExample("Lots of line types",
|
||||
"Options: (:line, :step, :stepinverted, :sticks, :dots, :none, :heatmap, :hexbin, :hist, :bar) \nNote: some may not work with all backends",
|
||||
[:(plot(rand(20,4); linetypes=[:line, :step, :sticks, :dots], labels=["line","step","sticks","dots"]))]),
|
||||
PlotExample("Lots of line styles",
|
||||
"Options: (:solid, :dash, :dot, :dashdot, :dashdotdot) \nNote: some may not work with all backends",
|
||||
[:(plot(rand(20,5); linestyles=[:solid, :dash, :dot, :dashdot, :dashdotdot], labels=["solid", "dash", "dot", "dashdot", "dashdotdot"]))]),
|
||||
PlotExample("Lots of marker types",
|
||||
"Options: (:none, :ellipse, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star1, :star2, :hexagon) \nNote: some may not work with all backends",
|
||||
[:(plot(repmat(collect(1:10)',10,1); markers=[:ellipse, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star1, :star2, :hexagon],
|
||||
labels=["ellipse", "rect", "diamond", "utriangle", "dtriangle", "cross", "xcross", "star1", "star2", "hexagon"],
|
||||
markersize=10))]),
|
||||
PlotExample("Bar",
|
||||
"x is the midpoint of the bar. (todo: allow passing of edges instead of midpoints)",
|
||||
[:(bar(randn(1000)))]),
|
||||
PlotExample("Histogram",
|
||||
"note: fillto isn't supported on all backends",
|
||||
[:(histogram(randn(1000); nbins=50, fillto=20))]),
|
||||
PlotExample("Subplots",
|
||||
"""
|
||||
subplot and subplot! are distinct commands which create many plots and add series to them in a circular fashion.
|
||||
You can define the layout with keyword params... either set the number of plots `n` (and optionally number of rows `nr` or
|
||||
number of columns `nc`), or you can set the layout directly with `layout`.
|
||||
|
||||
Note: Gadfly is not very friendly here, and although you can create a plot and save a PNG, I haven't been able to actually display it.
|
||||
""",
|
||||
[:(subplot(randn(100,5); layout=[1,1,3], linetypes=[:line,:hist,:dots,:step,:bar], nbins=10, legend=false))]),
|
||||
PlotExample("Adding to subplots",
|
||||
"Note here the automatic grid layout, as well as the order in which new series are added to the plots.",
|
||||
[:(subplot(randn(100,5); n=4))]),
|
||||
PlotExample("",
|
||||
"",
|
||||
[:(subplot!(randn(100,3)))]),
|
||||
|
||||
|
||||
]
|
||||
|
||||
|
||||
function generate_markdown(pkgname::Symbol)
|
||||
|
||||
# set up the plotter, and don't show the plots by default
|
||||
plotter!(pkgname)
|
||||
# plotDefault!(:show, false)
|
||||
|
||||
# mkdir if necessary
|
||||
try
|
||||
mkdir("$IMGDIR/$pkgname")
|
||||
end
|
||||
|
||||
# open the markdown file
|
||||
md = open("$DOCDIR/$(pkgname)_examples.md", "w")
|
||||
|
||||
for (i,example) in enumerate(examples)
|
||||
|
||||
try
|
||||
|
||||
# run the code
|
||||
map(eval, example.exprs)
|
||||
|
||||
# save the png
|
||||
imgname = "$(pkgname)_example_$i.png"
|
||||
savepng("$IMGDIR/$pkgname/$imgname")
|
||||
|
||||
# write out the header, description, code block, and image link
|
||||
write(md, "### $(example.header)\n\n")
|
||||
write(md, "$(example.desc)\n\n")
|
||||
write(md, "```julia\n$(join(map(string, example.exprs), "\n"))\n```\n\n")
|
||||
write(md, "\n\n")
|
||||
|
||||
catch ex
|
||||
# TODO: put error info into markdown?
|
||||
warn("Example $pkgname:$i failed with: $ex")
|
||||
end
|
||||
|
||||
#
|
||||
end
|
||||
|
||||
close(md)
|
||||
|
||||
end
|
||||
|
||||
# run it!
|
||||
# note: generate separately so it's easy to comment out
|
||||
# generate_markdown(:qwt)
|
||||
generate_markdown(:gadfly)
|
||||
# @osx_only generate_markdown(:unicodeplots)
|
||||
# generate_markdown(:pyplot)
|
||||
generate_markdown(:immerse)
|
||||
|
||||
|
||||
end # module
|
||||
|
||||
@ -1,192 +0,0 @@
|
||||
### Lines
|
||||
|
||||
A simple line plot of the 3 columns.
|
||||
|
||||
```julia
|
||||
plot(rand(100,3))
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Functions
|
||||
|
||||
Plot multiple functions.
|
||||
|
||||
```julia
|
||||
plot(0:0.01:4π,[sin,cos])
|
||||
```
|
||||
|
||||

|
||||
|
||||
###
|
||||
|
||||
You can also call it with plot(f, xmin, xmax).
|
||||
|
||||
```julia
|
||||
plot([sin,cos],0,4π)
|
||||
```
|
||||
|
||||

|
||||
|
||||
###
|
||||
|
||||
Or make a parametric plot with plot(fx, fy, umin, umax).
|
||||
|
||||
```julia
|
||||
plot(sin,(x->begin # /home/tom/.julia/v0.4/Plots/docs/example_generation.jl, line 33:
|
||||
sin(2x)
|
||||
end),0,2π)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Global
|
||||
|
||||
Change the guides/background without a separate call.
|
||||
|
||||
```julia
|
||||
plot(rand(10); title="TITLE",xlabel="XLABEL",ylabel="YLABEL",background_color=RGB(0.5,0.5,0.5))
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Two-axis
|
||||
|
||||
Use the `axis` or `axiss` arguments.
|
||||
|
||||
Note: This is only supported with Qwt right now
|
||||
|
||||
```julia
|
||||
plot(Vector[randn(100),randn(100) * 100]; axiss=[:left,:right],ylabel="LEFT",yrightlabel="RIGHT")
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Vectors w/ pluralized args
|
||||
|
||||
Plot multiple series with different numbers of points. Mix arguments that apply to all series (singular... see `marker`) with arguments unique to each series (pluralized... see `colors`).
|
||||
|
||||
```julia
|
||||
plot(Vector[rand(10),rand(20)]; marker=:ellipse,markersize=8,colors=[:red,:blue])
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Build plot in pieces
|
||||
|
||||
Start with a base plot...
|
||||
|
||||
```julia
|
||||
plot(rand(100) / 3; reg=true,fillto=0)
|
||||
```
|
||||
|
||||

|
||||
|
||||
###
|
||||
|
||||
and add to it later.
|
||||
|
||||
```julia
|
||||
scatter!(rand(100); markersize=6,color=:blue)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Heatmaps
|
||||
|
||||
|
||||
|
||||
```julia
|
||||
heatmap(randn(10000),randn(10000); nbins=100)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Lots of line types
|
||||
|
||||
Options: (:line, :step, :stepinverted, :sticks, :dots, :none, :heatmap, :hexbin, :hist, :bar)
|
||||
Note: some may not work with all backends
|
||||
|
||||
```julia
|
||||
plot(rand(20,4); linetypes=[:line,:step,:sticks,:dots],labels=["line","step","sticks","dots"])
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Lots of line styles
|
||||
|
||||
Options: (:solid, :dash, :dot, :dashdot, :dashdotdot)
|
||||
Note: some may not work with all backends
|
||||
|
||||
```julia
|
||||
plot(rand(20,5); linestyles=[:solid,:dash,:dot,:dashdot,:dashdotdot],labels=["solid","dash","dot","dashdot","dashdotdot"])
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Lots of marker types
|
||||
|
||||
Options: (:none, :ellipse, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star1, :star2, :hexagon)
|
||||
Note: some may not work with all backends
|
||||
|
||||
```julia
|
||||
plot(repmat(collect(1:10)',10,1); markers=[:ellipse,:rect,:diamond,:utriangle,:dtriangle,:cross,:xcross,:star1,:star2,:hexagon],labels=["ellipse","rect","diamond","utriangle","dtriangle","cross","xcross","star1","star2","hexagon"],markersize=10)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Bar
|
||||
|
||||
x is the midpoint of the bar. (todo: allow passing of edges instead of midpoints)
|
||||
|
||||
```julia
|
||||
bar(randn(1000))
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Histogram
|
||||
|
||||
note: fillto isn't supported on all backends
|
||||
|
||||
```julia
|
||||
histogram(randn(1000); nbins=50,fillto=20)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Subplots
|
||||
|
||||
subplot and subplot! are distinct commands which create many plots and add series to them in a circular fashion.
|
||||
You can define the layout with keyword params... either set the number of plots `n` (and optionally number of rows `nr` or
|
||||
number of columns `nc`), or you can set the layout directly with `layout`.
|
||||
|
||||
Note: Gadfly is not very friendly here, and although you can create a plot and save a PNG, I haven't been able to actually display it.
|
||||
|
||||
|
||||
```julia
|
||||
subplot(randn(100,5); layout=[1,1,3],linetypes=[:line,:hist,:dots,:step,:bar],nbins=10,legend=false)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Adding to subplots
|
||||
|
||||
Note here the automatic grid layout, as well as the order in which new series are added to the plots.
|
||||
|
||||
```julia
|
||||
subplot(randn(100,5); n=4)
|
||||
```
|
||||
|
||||

|
||||
|
||||
###
|
||||
|
||||
|
||||
|
||||
```julia
|
||||
subplot!(randn(100,3))
|
||||
```
|
||||
|
||||

|
||||
|
||||
@ -1,192 +0,0 @@
|
||||
### Lines
|
||||
|
||||
A simple line plot of the 3 columns.
|
||||
|
||||
```julia
|
||||
plot(rand(100,3))
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Functions
|
||||
|
||||
Plot multiple functions.
|
||||
|
||||
```julia
|
||||
plot(0:0.01:4π,[sin,cos])
|
||||
```
|
||||
|
||||

|
||||
|
||||
###
|
||||
|
||||
You can also call it with plot(f, xmin, xmax).
|
||||
|
||||
```julia
|
||||
plot([sin,cos],0,4π)
|
||||
```
|
||||
|
||||

|
||||
|
||||
###
|
||||
|
||||
Or make a parametric plot with plot(fx, fy, umin, umax).
|
||||
|
||||
```julia
|
||||
plot(sin,(x->begin # /home/tom/.julia/v0.4/Plots/docs/example_generation.jl, line 33:
|
||||
sin(2x)
|
||||
end),0,2π)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Global
|
||||
|
||||
Change the guides/background without a separate call.
|
||||
|
||||
```julia
|
||||
plot(rand(10); title="TITLE",xlabel="XLABEL",ylabel="YLABEL",background_color=RGB(0.5,0.5,0.5))
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Two-axis
|
||||
|
||||
Use the `axis` or `axiss` arguments.
|
||||
|
||||
Note: This is only supported with Qwt right now
|
||||
|
||||
```julia
|
||||
plot(Vector[randn(100),randn(100) * 100]; axiss=[:left,:right],ylabel="LEFT",yrightlabel="RIGHT")
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Vectors w/ pluralized args
|
||||
|
||||
Plot multiple series with different numbers of points. Mix arguments that apply to all series (singular... see `marker`) with arguments unique to each series (pluralized... see `colors`).
|
||||
|
||||
```julia
|
||||
plot(Vector[rand(10),rand(20)]; marker=:ellipse,markersize=8,colors=[:red,:blue])
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Build plot in pieces
|
||||
|
||||
Start with a base plot...
|
||||
|
||||
```julia
|
||||
plot(rand(100) / 3; reg=true,fillto=0)
|
||||
```
|
||||
|
||||

|
||||
|
||||
###
|
||||
|
||||
and add to it later.
|
||||
|
||||
```julia
|
||||
scatter!(rand(100); markersize=6,color=:blue)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Heatmaps
|
||||
|
||||
|
||||
|
||||
```julia
|
||||
heatmap(randn(10000),randn(10000); nbins=100)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Lots of line types
|
||||
|
||||
Options: (:line, :step, :stepinverted, :sticks, :dots, :none, :heatmap, :hexbin, :hist, :bar)
|
||||
Note: some may not work with all backends
|
||||
|
||||
```julia
|
||||
plot(rand(20,4); linetypes=[:line,:step,:sticks,:dots],labels=["line","step","sticks","dots"])
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Lots of line styles
|
||||
|
||||
Options: (:solid, :dash, :dot, :dashdot, :dashdotdot)
|
||||
Note: some may not work with all backends
|
||||
|
||||
```julia
|
||||
plot(rand(20,5); linestyles=[:solid,:dash,:dot,:dashdot,:dashdotdot],labels=["solid","dash","dot","dashdot","dashdotdot"])
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Lots of marker types
|
||||
|
||||
Options: (:none, :ellipse, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star1, :star2, :hexagon)
|
||||
Note: some may not work with all backends
|
||||
|
||||
```julia
|
||||
plot(repmat(collect(1:10)',10,1); markers=[:ellipse,:rect,:diamond,:utriangle,:dtriangle,:cross,:xcross,:star1,:star2,:hexagon],labels=["ellipse","rect","diamond","utriangle","dtriangle","cross","xcross","star1","star2","hexagon"],markersize=10)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Bar
|
||||
|
||||
x is the midpoint of the bar. (todo: allow passing of edges instead of midpoints)
|
||||
|
||||
```julia
|
||||
bar(randn(1000))
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Histogram
|
||||
|
||||
note: fillto isn't supported on all backends
|
||||
|
||||
```julia
|
||||
histogram(randn(1000); nbins=50,fillto=20)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Subplots
|
||||
|
||||
subplot and subplot! are distinct commands which create many plots and add series to them in a circular fashion.
|
||||
You can define the layout with keyword params... either set the number of plots `n` (and optionally number of rows `nr` or
|
||||
number of columns `nc`), or you can set the layout directly with `layout`.
|
||||
|
||||
Note: Gadfly is not very friendly here, and although you can create a plot and save a PNG, I haven't been able to actually display it.
|
||||
|
||||
|
||||
```julia
|
||||
subplot(randn(100,5); layout=[1,1,3],linetypes=[:line,:hist,:dots,:step,:bar],nbins=10,legend=false)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Adding to subplots
|
||||
|
||||
Note here the automatic grid layout, as well as the order in which new series are added to the plots.
|
||||
|
||||
```julia
|
||||
subplot(randn(100,5); n=4)
|
||||
```
|
||||
|
||||

|
||||
|
||||
###
|
||||
|
||||
|
||||
|
||||
```julia
|
||||
subplot!(randn(100,3))
|
||||
```
|
||||
|
||||

|
||||
|
||||
@ -1,157 +0,0 @@
|
||||
### Lines
|
||||
|
||||
A simple line plot of the 3 columns.
|
||||
|
||||
```julia
|
||||
plot(rand(100,3))
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Functions
|
||||
|
||||
Plot multiple functions.
|
||||
|
||||
```julia
|
||||
plot(0:0.01:4π,[sin,cos])
|
||||
```
|
||||
|
||||

|
||||
|
||||
###
|
||||
|
||||
You can also call it with plot(f, xmin, xmax).
|
||||
|
||||
```julia
|
||||
plot([sin,cos],0,4π)
|
||||
```
|
||||
|
||||

|
||||
|
||||
###
|
||||
|
||||
Or make a parametric plot with plot(fx, fy, umin, umax).
|
||||
|
||||
```julia
|
||||
plot(sin,(x->begin # /Users/tom/.julia/v0.4/Plots/docs/example_generation.jl, line 33:
|
||||
sin(2x)
|
||||
end),0,2π)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Global
|
||||
|
||||
Change the guides/background without a separate call.
|
||||
|
||||
```julia
|
||||
plot(rand(10); title="TITLE",xlabel="XLABEL",ylabel="YLABEL",background_color=RGB(0.5,0.5,0.5))
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Two-axis
|
||||
|
||||
Use the `axis` or `axiss` arguments.
|
||||
|
||||
Note: This is only supported with Qwt right now
|
||||
|
||||
```julia
|
||||
plot(Vector[randn(100),randn(100) * 100]; axiss=[:left,:right],ylabel="LEFT",yrightlabel="RIGHT")
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Vectors w/ pluralized args
|
||||
|
||||
Plot multiple series with different numbers of points. Mix arguments that apply to all series (singular... see `marker`) with arguments unique to each series (pluralized... see `colors`).
|
||||
|
||||
```julia
|
||||
plot(Vector[rand(10),rand(20)]; marker=:ellipse,markersize=8,colors=[:red,:blue])
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Build plot in pieces
|
||||
|
||||
Start with a base plot...
|
||||
|
||||
```julia
|
||||
plot(rand(100) / 3; reg=true,fillto=0)
|
||||
```
|
||||
|
||||

|
||||
|
||||
###
|
||||
|
||||
and add to it later.
|
||||
|
||||
```julia
|
||||
scatter!(rand(100); markersize=6,color=:blue)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Heatmaps
|
||||
|
||||
|
||||
|
||||
```julia
|
||||
heatmap(randn(10000),randn(10000); nbins=100)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Lots of line types
|
||||
|
||||
Options: (:line, :step, :stepinverted, :sticks, :dots, :none, :heatmap, :hexbin, :hist, :bar)
|
||||
Note: some may not work with all backends
|
||||
|
||||
```julia
|
||||
plot(rand(20,4); linetypes=[:line,:step,:sticks,:dots],labels=["line","step","sticks","dots"])
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Lots of line styles
|
||||
|
||||
Options: (:solid, :dash, :dot, :dashdot, :dashdotdot)
|
||||
Note: some may not work with all backends
|
||||
|
||||
```julia
|
||||
plot(rand(20,5); linestyles=[:solid,:dash,:dot,:dashdot,:dashdotdot],labels=["solid","dash","dot","dashdot","dashdotdot"])
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Lots of marker types
|
||||
|
||||
Options: (:none, :ellipse, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star1, :star2, :hexagon)
|
||||
Note: some may not work with all backends
|
||||
|
||||
```julia
|
||||
plot(repmat(collect(1:10)',10,1); markers=[:ellipse,:rect,:diamond,:utriangle,:dtriangle,:cross,:xcross,:star1,:star2,:hexagon],labels=["ellipse","rect","diamond","utriangle","dtriangle","cross","xcross","star1","star2","hexagon"],linetype=:none,markersize=10)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Bar
|
||||
|
||||
x is the midpoint of the bar. (todo: allow passing of edges instead of midpoints)
|
||||
|
||||
```julia
|
||||
bar(randn(1000))
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Histogram
|
||||
|
||||
note: fillto isn't supported on all backends
|
||||
|
||||
```julia
|
||||
histogram(randn(1000); nbins=50,fillto=20)
|
||||
```
|
||||
|
||||

|
||||
|
||||
@ -1,192 +0,0 @@
|
||||
### Lines
|
||||
|
||||
A simple line plot of the 3 columns.
|
||||
|
||||
```julia
|
||||
plot(rand(100,3))
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Functions
|
||||
|
||||
Plot multiple functions.
|
||||
|
||||
```julia
|
||||
plot(0:0.01:4π,[sin,cos])
|
||||
```
|
||||
|
||||

|
||||
|
||||
###
|
||||
|
||||
You can also call it with plot(f, xmin, xmax).
|
||||
|
||||
```julia
|
||||
plot([sin,cos],0,4π)
|
||||
```
|
||||
|
||||

|
||||
|
||||
###
|
||||
|
||||
Or make a parametric plot with plot(fx, fy, umin, umax).
|
||||
|
||||
```julia
|
||||
plot(sin,(x->begin # /home/tom/.julia/v0.4/Plots/docs/example_generation.jl, line 33:
|
||||
sin(2x)
|
||||
end),0,2π)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Global
|
||||
|
||||
Change the guides/background without a separate call.
|
||||
|
||||
```julia
|
||||
plot(rand(10); title="TITLE",xlabel="XLABEL",ylabel="YLABEL",background_color=RGB(0.5,0.5,0.5))
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Two-axis
|
||||
|
||||
Use the `axis` or `axiss` arguments.
|
||||
|
||||
Note: This is only supported with Qwt right now
|
||||
|
||||
```julia
|
||||
plot(Vector[randn(100),randn(100) * 100]; axiss=[:left,:right],ylabel="LEFT",yrightlabel="RIGHT")
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Vectors w/ pluralized args
|
||||
|
||||
Plot multiple series with different numbers of points. Mix arguments that apply to all series (singular... see `marker`) with arguments unique to each series (pluralized... see `colors`).
|
||||
|
||||
```julia
|
||||
plot(Vector[rand(10),rand(20)]; marker=:ellipse,markersize=8,colors=[:red,:blue])
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Build plot in pieces
|
||||
|
||||
Start with a base plot...
|
||||
|
||||
```julia
|
||||
plot(rand(100) / 3; reg=true,fillto=0)
|
||||
```
|
||||
|
||||

|
||||
|
||||
###
|
||||
|
||||
and add to it later.
|
||||
|
||||
```julia
|
||||
scatter!(rand(100); markersize=6,color=:blue)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Heatmaps
|
||||
|
||||
|
||||
|
||||
```julia
|
||||
heatmap(randn(10000),randn(10000); nbins=100)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Lots of line types
|
||||
|
||||
Options: (:line, :step, :stepinverted, :sticks, :dots, :none, :heatmap, :hexbin, :hist, :bar)
|
||||
Note: some may not work with all backends
|
||||
|
||||
```julia
|
||||
plot(rand(20,4); linetypes=[:line,:step,:sticks,:dots],labels=["line","step","sticks","dots"])
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Lots of line styles
|
||||
|
||||
Options: (:solid, :dash, :dot, :dashdot, :dashdotdot)
|
||||
Note: some may not work with all backends
|
||||
|
||||
```julia
|
||||
plot(rand(20,5); linestyles=[:solid,:dash,:dot,:dashdot,:dashdotdot],labels=["solid","dash","dot","dashdot","dashdotdot"])
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Lots of marker types
|
||||
|
||||
Options: (:none, :ellipse, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star1, :star2, :hexagon)
|
||||
Note: some may not work with all backends
|
||||
|
||||
```julia
|
||||
plot(repmat(collect(1:10)',10,1); markers=[:ellipse,:rect,:diamond,:utriangle,:dtriangle,:cross,:xcross,:star1,:star2,:hexagon],labels=["ellipse","rect","diamond","utriangle","dtriangle","cross","xcross","star1","star2","hexagon"],linetype=:none,markersize=10)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Bar
|
||||
|
||||
x is the midpoint of the bar. (todo: allow passing of edges instead of midpoints)
|
||||
|
||||
```julia
|
||||
bar(randn(1000))
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Histogram
|
||||
|
||||
note: fillto isn't supported on all backends
|
||||
|
||||
```julia
|
||||
histogram(randn(1000); nbins=50,fillto=20)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Subplots
|
||||
|
||||
subplot and subplot! are distinct commands which create many plots and add series to them in a circular fashion.
|
||||
You can define the layout with keyword params... either set the number of plots `n` (and optionally number of rows `nr` or
|
||||
number of columns `nc`), or you can set the layout directly with `layout`.
|
||||
|
||||
Note: Gadfly is not very friendly here, and although you can create a plot and save a PNG, I haven't been able to actually display it.
|
||||
|
||||
|
||||
```julia
|
||||
subplot(randn(100,5); layout=[1,1,3],linetypes=[:line,:hist,:dots,:step,:bar],nbins=10,legend=false)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Adding to subplots
|
||||
|
||||
Note here the automatic grid layout, as well as the order in which new series are added to the plots.
|
||||
|
||||
```julia
|
||||
subplot(randn(100,5); n=4)
|
||||
```
|
||||
|
||||

|
||||
|
||||
###
|
||||
|
||||
|
||||
|
||||
```julia
|
||||
subplot!(randn(100,3))
|
||||
```
|
||||
|
||||

|
||||
|
||||
@ -1,182 +0,0 @@
|
||||
### Lines
|
||||
|
||||
A simple line plot of the 3 columns.
|
||||
|
||||
```julia
|
||||
plot(rand(100,3))
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Functions
|
||||
|
||||
Plot multiple functions.
|
||||
|
||||
```julia
|
||||
plot(0:0.01:4π,[sin,cos])
|
||||
```
|
||||
|
||||

|
||||
|
||||
###
|
||||
|
||||
You can also call it with plot(f, xmin, xmax).
|
||||
|
||||
```julia
|
||||
plot([sin,cos],0,4π)
|
||||
```
|
||||
|
||||

|
||||
|
||||
###
|
||||
|
||||
Or make a parametric plot with plot(fx, fy, umin, umax).
|
||||
|
||||
```julia
|
||||
plot(sin,(x->begin # /Users/tom/.julia/v0.4/Plots/docs/example_generation.jl, line 33:
|
||||
sin(2x)
|
||||
end),0,2π)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Global
|
||||
|
||||
Change the guides/background without a separate call.
|
||||
|
||||
```julia
|
||||
plot(rand(10); title="TITLE",xlabel="XLABEL",ylabel="YLABEL",background_color=RGB(0.5,0.5,0.5))
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Two-axis
|
||||
|
||||
Use the `axis` or `axiss` arguments.
|
||||
|
||||
Note: This is only supported with Qwt right now
|
||||
|
||||
```julia
|
||||
plot(Vector[randn(100),randn(100) * 100]; axiss=[:left,:right],ylabel="LEFT",yrightlabel="RIGHT")
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Vectors w/ pluralized args
|
||||
|
||||
Plot multiple series with different numbers of points. Mix arguments that apply to all series (singular... see `marker`) with arguments unique to each series (pluralized... see `colors`).
|
||||
|
||||
```julia
|
||||
plot(Vector[rand(10),rand(20)]; marker=:ellipse,markersize=8,colors=[:red,:blue])
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Build plot in pieces
|
||||
|
||||
Start with a base plot...
|
||||
|
||||
```julia
|
||||
plot(rand(100) / 3; reg=true,fillto=0)
|
||||
```
|
||||
|
||||

|
||||
|
||||
###
|
||||
|
||||
and add to it later.
|
||||
|
||||
```julia
|
||||
scatter!(rand(100); markersize=6,color=:blue)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Lots of line types
|
||||
|
||||
Options: (:line, :step, :stepinverted, :sticks, :dots, :none, :heatmap, :hexbin, :hist, :bar)
|
||||
Note: some may not work with all backends
|
||||
|
||||
```julia
|
||||
plot(rand(20,4); linetypes=[:line,:step,:sticks,:dots],labels=["line","step","sticks","dots"])
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Lots of line styles
|
||||
|
||||
Options: (:solid, :dash, :dot, :dashdot, :dashdotdot)
|
||||
Note: some may not work with all backends
|
||||
|
||||
```julia
|
||||
plot(rand(20,5); linestyles=[:solid,:dash,:dot,:dashdot,:dashdotdot],labels=["solid","dash","dot","dashdot","dashdotdot"])
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Lots of marker types
|
||||
|
||||
Options: (:none, :ellipse, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star1, :star2, :hexagon)
|
||||
Note: some may not work with all backends
|
||||
|
||||
```julia
|
||||
plot(repmat(collect(1:10)',10,1); markers=[:ellipse,:rect,:diamond,:utriangle,:dtriangle,:cross,:xcross,:star1,:star2,:hexagon],labels=["ellipse","rect","diamond","utriangle","dtriangle","cross","xcross","star1","star2","hexagon"],linetype=:none,markersize=10)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Bar
|
||||
|
||||
x is the midpoint of the bar. (todo: allow passing of edges instead of midpoints)
|
||||
|
||||
```julia
|
||||
bar(randn(1000))
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Histogram
|
||||
|
||||
note: fillto isn't supported on all backends
|
||||
|
||||
```julia
|
||||
histogram(randn(1000); nbins=50,fillto=20)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Subplots
|
||||
|
||||
subplot and subplot! are distinct commands which create many plots and add series to them in a circular fashion.
|
||||
You can define the layout with keyword params... either set the number of plots `n` (and optionally number of rows `nr` or
|
||||
number of columns `nc`), or you can set the layout directly with `layout`.
|
||||
|
||||
Note: Gadfly is not very friendly here, and although you can create a plot and save a PNG, I haven't been able to actually display it.
|
||||
|
||||
|
||||
```julia
|
||||
subplot(randn(100,5); layout=[1,1,3],linetypes=[:line,:hist,:dots,:step,:bar],nbins=10,legend=false)
|
||||
```
|
||||
|
||||

|
||||
|
||||
### Adding to subplots
|
||||
|
||||
Note here the automatic grid layout, as well as the order in which new series are added to the plots.
|
||||
|
||||
```julia
|
||||
subplot(randn(100,5); n=4)
|
||||
```
|
||||
|
||||

|
||||
|
||||
###
|
||||
|
||||
|
||||
|
||||
```julia
|
||||
subplot!(randn(100,3))
|
||||
```
|
||||
|
||||

|
||||
|
||||
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