Full Code of garrettj403/SciencePlots for AI

Repository: garrettj403/SciencePlots
Branch: master
Commit: 8d281eabcf5f
Files: 62
Total size: 56.7 KB

Directory structure:
gitextract__3xp0qwg/

├── .github/
│   ├── ISSUE_TEMPLATE/
│   │   └── 01-bug.yml
│   └── workflows/
│       ├── pytest.yaml
│       └── ruff_check.yaml
├── .gitignore
├── CHANGES.md
├── LICENSE
├── MANIFEST.in
├── README.md
├── examples/
│   └── plot-examples.py
├── pyproject.toml
└── src/
    └── scienceplots/
        ├── __init__.py
        ├── styles/
        │   ├── color/
        │   │   ├── bright.mplstyle
        │   │   ├── discrete-rainbow/
        │   │   │   ├── discrete-rainbow-1.mplstyle
        │   │   │   ├── discrete-rainbow-10.mplstyle
        │   │   │   ├── discrete-rainbow-11.mplstyle
        │   │   │   ├── discrete-rainbow-12.mplstyle
        │   │   │   ├── discrete-rainbow-13.mplstyle
        │   │   │   ├── discrete-rainbow-14.mplstyle
        │   │   │   ├── discrete-rainbow-15.mplstyle
        │   │   │   ├── discrete-rainbow-16.mplstyle
        │   │   │   ├── discrete-rainbow-17.mplstyle
        │   │   │   ├── discrete-rainbow-18.mplstyle
        │   │   │   ├── discrete-rainbow-19.mplstyle
        │   │   │   ├── discrete-rainbow-2.mplstyle
        │   │   │   ├── discrete-rainbow-20.mplstyle
        │   │   │   ├── discrete-rainbow-21.mplstyle
        │   │   │   ├── discrete-rainbow-22.mplstyle
        │   │   │   ├── discrete-rainbow-23.mplstyle
        │   │   │   ├── discrete-rainbow-3.mplstyle
        │   │   │   ├── discrete-rainbow-4.mplstyle
        │   │   │   ├── discrete-rainbow-5.mplstyle
        │   │   │   ├── discrete-rainbow-6.mplstyle
        │   │   │   ├── discrete-rainbow-7.mplstyle
        │   │   │   ├── discrete-rainbow-8.mplstyle
        │   │   │   └── discrete-rainbow-9.mplstyle
        │   │   ├── high-contrast.mplstyle
        │   │   ├── high-vis.mplstyle
        │   │   ├── light.mplstyle
        │   │   ├── muted.mplstyle
        │   │   ├── retro.mplstyle
        │   │   ├── std-colors.mplstyle
        │   │   └── vibrant.mplstyle
        │   ├── journals/
        │   │   ├── ieee.mplstyle
        │   │   └── nature.mplstyle
        │   ├── languages/
        │   │   ├── cjk-jp-font.mplstyle
        │   │   ├── cjk-kr-font.mplstyle
        │   │   ├── cjk-sc-font.mplstyle
        │   │   ├── cjk-tc-font.mplstyle
        │   │   ├── russian-font.mplstyle
        │   │   └── turkish-font.mplstyle
        │   ├── misc/
        │   │   ├── grid.mplstyle
        │   │   ├── latex-sans.mplstyle
        │   │   ├── no-latex.mplstyle
        │   │   ├── pgf.mplstyle
        │   │   └── sans.mplstyle
        │   ├── notebook.mplstyle
        │   ├── scatter.mplstyle
        │   └── science.mplstyle
        ├── styles_discovery.py
        └── tests/
            ├── __init__.py
            ├── conftest.py
            └── test_scienceplots.py

================================================
FILE CONTENTS
================================================

================================================
FILE: .github/ISSUE_TEMPLATE/01-bug.yml
================================================
name: Any Report
description: File a general purpose report
# title:
labels: ["bug", "user question/help"]
# assignees:

body:
  - type: markdown
    attributes:
      value: |
        Please check it hasn't already been reported in the [issue tracker](../).
        Thanks for taking the time to fill this out! It really helps us a lot.

  - type: markdown
    attributes:
      value: |
        First of all, let's have a look to your environment: run the following Python code snippet and paste the output below.
        ```python
        import platform
        import sys
        import subprocess
        from importlib.metadata import version
        print('System: ' + platform.platform())
        print('Python: ' + sys.version)
        print('SciencePlots: ' + version('scienceplots'))
        print('Matplotlib: ' + version('matplotlib'))
        print('LaTeX distro:')
        subprocess.run(["latex", "-v"])
        ```

  - type: textarea
    id: env
    attributes:
      label: Environment
      description: Paste here the output of the code above
      placeholder: |
        System: Windows-10-10.0.19044-SP0
        Python: 3.10.4 (tags/v3.10.4:9d38120, Mar 23 1984, 24:00:00) [MSC v.1929 64 bit (AMD64)]
        SciencePlots: 0.0.0
        Matplotlib: 0.0.0
        LaTeX distro:
        pdfTeX 3.141592653589793238-pi (TeX Live 2022)
        kpathsea version 6.3.4
        Copyright 2022 Han The Thanh (pdfTeX) et al.
        There is NO warranty.  Redistribution of this software is
        covered by the terms of both the pdfTeX copyright and
        the Lesser GNU General Public License.
        For more information about these matters, see the file
        named COPYING and the pdfTeX source.
        Primary author of pdfTeX: Han The Thanh (pdfTeX) et al.
        Compiled with libpng 1.6.37; using libpng 1.6.37
        Compiled with zlib 1.2.11; using zlib 1.2.11
        Compiled with xpdf version 4.03
        CompletedProcess(args=['latex', '-v'], returncode=O)
      # value: ""
      render: "Python console"
    validations:
      required: true

  - type: textarea
    id: styles
    attributes:
      label: Affected styles
      description: >
        List all styles you are using.
        Do not miss anyone, they may change the behaviour entirely.
      placeholder: |
        ["science", "no-latex"]
      # value: ""
      render: "Python console"
    validations:
      required: true

  - type: textarea
    id: user-description
    attributes:
      label: "Describe the issue here"
      # description: ""
      placeholder: "What do you expect? What happens?"
      # value: ""
    validations:
      required: true

  - type: textarea
    id: how-to-reproduce
    attributes:
      label: "How can we replicate it? What have you tried? Please, add a reproducible example"
      description: "Paste inline code between backticks [`] and code blocks between 3 [```]"
      placeholder: "Be as accurate as possible, it will help us very much."
      # value: ""
    validations:
      required: true
  
  - type: textarea
    id: extra
    attributes:
      label: "Extra info"
      description: "Please, specify anything else that may be of help (e.g. links to other issues that may be related anywhere, StackOverflow posts, etc.)"
      # placeholder: ""
      # value: ""
    validations:
      required: false


================================================
FILE: .github/workflows/pytest.yaml
================================================
name: Pytest

on:
  push:
    branches: [ "master" ]
  pull_request:
    branches: [ "master" ]

jobs:
  build:
    runs-on: ubuntu-latest
    strategy:
      fail-fast: false
      matrix:
        python-version: ["3.10", "3.11", "3.12", "3.13", "3.14", "3.x"]

    steps:
    - uses: actions/checkout@v5
    - name: Set up Python ${{ matrix.python-version }}
      uses: actions/setup-python@v6
      with:
        python-version: ${{ matrix.python-version }}
    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        python -m pip install .[test]
        sudo apt update
        sudo apt install dvipng texlive-latex-extra texlive-fonts-recommended cm-super
        sudo apt install fonts-noto-cjk
    - name: Test with pytest
      run: |
        pytest


================================================
FILE: .github/workflows/ruff_check.yaml
================================================
name: Ruff Check

on:
    push:
    pull_request:

jobs:
    ruff-lint:
        runs-on: ubuntu-latest

        steps:
            - name: Checkout code
              uses: actions/checkout@v5

            - name: Set up Python
              uses: actions/setup-python@v6
              with:
                python-version: '3.x'

            - name: Install dependencies
              run: |
                  python -m pip install --upgrade pip
                  pip install ruff

            - name: Run Ruff
              run: ruff check --output-format=github .


================================================
FILE: .gitignore
================================================
.ipynb_checkpoints/
.DS_STORE
SciencePlots.egg-info/

dist/
dev/

TODO.md
new-version.md

# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
#  Usually these files are written by a python script from a template
#  before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
.pybuilder/
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
#   For a library or package, you might want to ignore these files since the code is
#   intended to run in multiple environments; otherwise, check them in:
# .python-version

# pipenv
#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
#   However, in case of collaboration, if having platform-specific dependencies or dependencies
#   having no cross-platform support, pipenv may install dependencies that don't work, or not
#   install all needed dependencies.
#Pipfile.lock

# poetry
#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
#   This is especially recommended for binary packages to ensure reproducibility, and is more
#   commonly ignored for libraries.
#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock

# pdm
#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
#   in version control.
#   https://pdm.fming.dev/#use-with-ide
.pdm.toml

# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/

# pytype static type analyzer
.pytype/

# Cython debug symbols
cython_debug/

# PyCharm
#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
#  and can be added to the global gitignore or merged into this file.  For a more nuclear
#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/


================================================
FILE: CHANGES.md
================================================
v2.2.1 (xx-yyy-2026)
====================
Maintenance
-----------
- Mitigate packaging issue where styles are not included in local bdist when `.git` folder is not present.
  Affected users exclusively are those building the wheel by themselves from a version repo source file, e.g., via AUR.
  See issue 151: https://github.com/garrettj403/SciencePlots/issues/151

v2.2.0 (20-Nov-2025)
====================
New features
------------
- Fix `['science', 'no-latex']` font does not work with symbols (e.g. degree symbol)
  This style set was found to be incompatible with _Cartopy_.
- Add all 23 "discrete rainbow" styles proposed by Paul Tol on his website (by @IchBinGROOT)
  Access them with the style names `discrete-rainbow-1`, `discrete-rainbow-2`, ..., `discrete-rainbow-23`
- Update `README.md` to reflect that _Install from `conda-forge` is now available!_

Maintenance
-----------
- Update Paul Tol's webpage link to https://sronpersonalpages.nl/~pault/ in relevant comments through the project.
- Improve `turkish-font.mplstyle` (may add some breaking changes)
   1. `:` and `!` are now interpreted as text by default, not as control characters.
   2. Assume UTF-8 encoding by default.
   3. Enhance compatibility, especially with T1 font encoding, by using the package `lmodern`.
- Now all subdirectories of the ``styles`` folder are parsed for styles, instead of just the first two levels.
- Upgrade & unify issue templates.

v2.1.1 (25-Nov-2023)
====================
- Avoid Matplotlib issuing `INFO` log statements about no available fonts
  due to last release changes.
- Add `science` + `no-latex ` example

v2.1.0 (30-May-2023)
====================
- Change `science` and `ieee` to use Times New Roman look-alike fonts
- Tweak `plot-examples.py` and clean PDF output

v2.0.1 (03-Dec-2022)
====================
- Add Turkish `turkish-font` language style

v2.0.0 (21-Nov-2022)
====================
- Fix import on case sensitive OSs
- Finally bump to this version, following breaking change of distribution

v1.1.0 (07-Nov-2022)
====================
- Major change in distribution system
  - Now needs import directive `import scienceplots`
- Fix not using raw string in `plot-example.py`
- Update README

v1.0.9 (16-Sep-2021)
====================

- `notebook`:
   - make Latex fonts sans-serif
- Fix bug with Latex packages:
   - e.g., `\usepackage{amsmath, amssymb, sfmath}` --> `\usepackage{amsmath} \usepackage{amssymb} \usepackage{sfmath}`
- Add `pyproject.toml` file (see PEP 517/518)
- Minor updates to README, including adding more papers to publication list

v1.0.8 (02-Jun-2021)
====================

- ``nature``:
   - Added style for Nature articles
   - Uses sans-serif fonts
- ``latex-sans``:
   - Added style for using LaTeX with sans-serif fonts
- ``std-colors``:
   - Added style to recover the standard color cycle of the SciencePlots package
   - For example, if you use ``plt.style.use(["science", "ieeee"]). The figure will use the ``"ieee"`` color cycle. To revert to the standard color cycle, you can use ``plt.style.use(["science", "ieee", "std-colors"])``.
- ``science``:
   - Added ``amssymb`` to LaTeX preamble
- ``grid``: 
   - Set ``axes.axisbelow`` to True
- Minor updates to README

v1.0.7 (28-Feb-2021)
====================

- Add support for CJK fonts:
   - see README for details
- Add example of CJK fonts:
   - see Fig 14a, Fig 14b, Fig 14c, Fig 14d
- ``science`` style:
   - use default serif font
- ``ieee`` style: 
   - use Times font
- ``grid`` style:
   - change line style to '--'
- README:
   - add badge for Zenodo reference
   - add info on citing SciencePlots
   - add info on using Times New Roman
   - add more papers using SciencePlots
   
v1.0.6 (19-Oct-2020)
====================

- The main reason for this release is to trigger Zenodo:
   - I've added SciencePlots to Zenodo (an archiving service).
   - It only archives after new releases, so I will make a trivial version bump.
- Trivial changes to README:
   - Added installation info for Google Colab, Jupyter Notebooks, etc.
   - Added PyPI badge
   - Added more papers to list

v1.0.5 (8-Sep-2020)
===================

- New color blind safe color cycles (``high-contrast.mplstyle``, ``light.mplstyle``). Taken from [Paul Tol's website](https://personal.sron.nl/~pault/).
- Fixed color order in ``muted.mplstyle``, ``vibrant.mplstyle``, and ``bright.mplstyle``.

v1.0.4 (14-Aug-2020)
====================

- New style: ``grid``
   - this will add grid lines
- ``science`` style:
   - use a serif font with mathtex
- README:
   - Add example of the ``notebook`` style
   - Add FAQ
   - Update publications
   - Other misc changes...


================================================
FILE: LICENSE
================================================
MIT License

Copyright (c) 2018 John Garrett

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

================================================
FILE: MANIFEST.in
================================================
# https://setuptools.pypa.io/en/latest/userguide/miscellaneous.html#controlling-files-in-the-distribution (accessed on 2026-02-20)
# By default 'setuptools_scm' includes all git-tracked files (all .py files are included by default by 'setuptools')
# In sdist downloads, .git is non existent.  Ref: https://github.com/garrettj403/SciencePlots/issues/151
# Required data files are exhaustively listed here:
recursive-include src/scienceplots/styles *.mplstyle
include CHANGES.md
include LICENSE
include MANIFEST.in
include pyproject.toml
include README.md

# Clean unnecessary files in source distribution:
prune .github
prune .git
prune examples


================================================
FILE: README.md
================================================
Science Plots
=============

<p align="left">
    <table>
        <tr>
            <td style="text-align: center;">PyPI version</td>
            <td style="text-align: center;">
                <a href="https://badge.fury.io/py/SciencePlots">
                    <img src="https://badge.fury.io/py/SciencePlots.svg" alt="PyPI version" height="18"/>
                </a>
            </td>
        </tr>
        <tr>
            <td style="text-align: center;">conda-forge version</td>
            <td style="text-align: center;">
                <a href="https://anaconda.org/conda-forge/scienceplots">
                    <img src="https://anaconda.org/conda-forge/scienceplots/badges/version.svg" alt="conda-forge version" height="18"/>
                </a>
            </td>
        </tr>
        <tr>
            <td style="text-align: center;">DOI</td>
            <td style="text-align: center;">
                <a href="https://zenodo.org/badge/latestdoi/144605189">
                    <img src="https://zenodo.org/badge/144605189.svg" alt="DOI" height="18"/>
                </a>
            </td>
        </tr>
    </table>
</p>

> **Warning**
> : As of version 2.0.0, you need to add `import scienceplots` before setting the style (`plt.style.use('science')`).

*Matplotlib styles for scientific figures*

This repo has Matplotlib styles to format your figures for scientific papers, presentations and theses.

<p align="center">
<img src="https://github.com/garrettj403/SciencePlots/raw/master/examples/figures/fig01a.jpg" width="500">
</p>

You can find [the full gallery of included styles here](https://github.com/garrettj403/SciencePlots/wiki/Gallery).

Getting Started
---------------

The easiest way to install SciencePlots is by using `pip`:

```bash
# to install the latest release (from PyPI)
pip install SciencePlots

# to install the latest release (using Conda)
conda install -c conda-forge scienceplots

# to install the latest commit (from GitHub)
pip install git+https://github.com/garrettj403/SciencePlots

# to clone and install from a local copy
git clone https://github.com/garrettj403/SciencePlots.git
cd SciencePlots
pip install -e .
```

From version `v1.1.0` on, `import scienceplots` is needed on top of your scripts so Matplotlib can make use of the styles.

**Notes:** 
- SciencePlots requires Latex ([see Latex installation instructions](https://github.com/garrettj403/SciencePlots/wiki/FAQ#installing-latex)). 
- If you would like to use CJK fonts, you will need to install these font separately ([see CJK font installation instructions](https://github.com/garrettj403/SciencePlots/wiki/FAQ#installing-cjk-fonts)).

Please see the [FAQ](https://github.com/garrettj403/SciencePlots/wiki/FAQ) for more information and troubleshooting.

Using the Styles
----------------

``"science"`` is the primary style in this repo. Whenever you want to use it, simply add the following to the top of your python script:

```python
import matplotlib.pyplot as plt
import scienceplots

plt.style.use('science')
```

You can also combine multiple styles together by:

```python
plt.style.use(['science','ieee'])
```

In this case, the ``ieee`` style will override some of the parameters from the ``science`` style in order to configure the plot for IEEE papers (column width, fontsizes, etc.).

To use any of the styles temporarily, you can use:

```python
with plt.style.context('science'):
    plt.figure()
    plt.plot(x, y)
    plt.show()
```

Examples
--------

The basic ``science`` style is shown below:

<img src="https://github.com/garrettj403/SciencePlots/raw/master/examples/figures/fig01a.jpg" width="500">

It can be cascaded with other styles to fine-tune the appearance. For example, the ``science`` + ``notebook`` styles (intended for Jupyter notebooks):

<img src="https://github.com/garrettj403/SciencePlots/raw/master/examples/figures/fig10.jpg" width="500">

Please see [the project Wiki](https://github.com/garrettj403/SciencePlots/wiki/Gallery) for a full list of available styles.

Specific Styles for Academic Journals
-------------------------------------

The ``science`` + ``ieee`` styles for IEEE papers:

<img src="https://github.com/garrettj403/SciencePlots/raw/master/examples/figures/fig02a.jpg" width="500">

   - IEEE requires figures to be readable when printed in black and white. The ``ieee`` style also sets the figure width to fit within one column of an IEEE paper.

The ``science`` + ``nature`` styles for Nature articles:

<img src="https://github.com/garrettj403/SciencePlots/raw/master/examples/figures/fig02c.jpg" width="500">

   - Nature recommends sans-serif fonts.

Other languages
---------------

SciencePlots currently supports:
 * [Traditional Chinese](https://github.com/garrettj403/SciencePlots/wiki/Gallery#traditional-chinese)
 * [Simplified Chinese](https://github.com/garrettj403/SciencePlots/wiki/Gallery#simplified-chinese)
 * [Japanese](https://github.com/garrettj403/SciencePlots/wiki/Gallery#japanese)
 * [Korean](https://github.com/garrettj403/SciencePlots/wiki/Gallery#korean)
 * [Russian](https://github.com/garrettj403/SciencePlots/wiki/Gallery#russian)
 * [Turkish](https://github.com/garrettj403/SciencePlots/wiki/Gallery#turkish)

Example: Traditional Chinese (`science` + `no-latex` + `cjk-tc-font`):

<img src="https://github.com/garrettj403/SciencePlots/raw/master/examples/figures/fig14a.jpg" width="500">

See the [FAQ](https://github.com/garrettj403/SciencePlots/wiki/FAQ#installing-cjk-fonts) for information on installing CJK fonts.

Other color cycles
------------------

SciencePlots comes with a variety of different color cycles. For a full list, [see the project Wiki](https://github.com/garrettj403/SciencePlots/wiki/Gallery#color-cycles). Two examples are shown below.

The ``bright`` color cycle (color blind safe):

<img src="https://github.com/garrettj403/SciencePlots/raw/master/examples/figures/fig06.jpg" width="500">

The ``high-vis`` color cycle:

<img src="https://github.com/garrettj403/SciencePlots/raw/master/examples/figures/fig04.jpg" width="500">

Paul Tol's discrete rainbow color sets are available as well, with the style identifier ``discrete-rainbow-<n>``, where ``<n>`` is the number of unique colors. ``<n>`` ranges from ``1`` to ``23`` (inclusive). For example, ``discrete-rainbow-15``:

<img src="https://github.com/garrettj403/SciencePlots/raw/master/examples/figures/fig_dr_15.jpg" width="500">

Help and Contributing
---------------------

Please feel free to contribute to the SciencePlots repo! For example, it would be good to add new styles for different journals and add new color cycles. Before starting a new style or making any changes, please create an issue through the [GitHub issue tracker](https://github.com/garrettj403/SciencePlots/issues). That way we can discuss if the changes are necessary and the best approach.

If you need any help with SciencePlots, please first check the [FAQ](https://github.com/garrettj403/SciencePlots/wiki/FAQ) and search through the [previous GitHub issues](https://github.com/garrettj403/SciencePlots/issues). If you can't find an answer, create a new issue through the [GitHub issue tracker](https://github.com/garrettj403/SciencePlots/issues).

You can checkout [Matplotlib's documentation](https://matplotlib.org/tutorials/introductory/customizing.html) for more information on plotting settings.

FAQ
---

You can find [the FAQ in the project Wiki.](https://github.com/garrettj403/SciencePlots/wiki/FAQ)

SciencePlots in Academic Papers
-------------------------------

The following papers use ``SciencePlots``:

- C.-S. Li, S.-P. Ma, and T.-H. Lin, ["FMSA: A Universal Microservice Architecture Based on FHIR Medical Informatics Standard,"](https://ieeexplore.ieee.org/document/11326732) 2025 Second International Conference on Artificial Intelligence for Medicine, Health and Care (AIxMHC), pp. 42–49, Oct. 2025.

- Keçeci, Mehmet. "Scalable Complexity: Mathematical Analysis and Potential for Physical Applications of the Keçeci Circle Fractal", 13 May 2025. https://doi.org/10.5281/zenodo.15396198. (Reference has been made to the module "SciencePlots".)

- J. D. Garrett, C.-Y. E. Tong, L. Zeng, T.-J. Chen and M.-J. Wang, ["A 345 GHz Sideband-Separating Receiver Prototype with Ultra-Wide Instantaneous Bandwidth,"](https://ieeexplore.ieee.org/document/10089556) *IEEE Trans. THz Sci. Technol.*, vol. 13, no. 3, pp. 237-245, Mar. 2023.

- J. Garrett, B.-K. Tan, C. Chaumont, F. Boussaha, and G. Yassin, ["A 230-GHz Endfire SIS Mixer With Near Quantum-Limited Performance,"](https://ieeexplore.ieee.org/document/9833810) *IEEE Microw. Wirel. Compon. Lett.*, Jul. 2022. ([open access](https://ora.ox.ac.uk/objects/uuid:59a100bf-c997-499a-be20-01fc66fffe2b))

- J. Garrett, and E. Tong, ["Measuring Cryogenic Waveguide Loss in the Terahertz Regime,"](https://ieeexplore.ieee.org/document/9727077) *IEEE Trans. THz Sci. Technol.*, vol. 12, no. 3, pp. 293-299, May 2022.

- Y. Liu, X. Liu, and Y. Sun, ["QGrain: An open-source and easy-to-use software for the comprehensive analysis of grain size distributions"](https://doi.org/10.1016/j.sedgeo.2021.105980), *Sedimentary Geology*, vol. 423, 105980, Aug. 2021.

- M. Gasanov, *et al.*, ["A New Multi-objective Approach to Optimize Irrigation Using a Crop Simulation Model and Weather History"](https://link.springer.com/chapter/10.1007/978-3-030-77970-2_7) in *Computational Science–ICCS 2021*, Krakow, Poland, Jun. 2021, pp. 75-88. ([open access](https://www.researchgate.net/profile/Sergey-Matveev-5/publication/352285985_A_New_Multi-objective_Approach_to_Optimize_Irrigation_Using_a_Crop_Simulation_Model_and_Weather_History/links/60e74b88b8c0d5588ce2da07/A-New-Multi-objective-Approach-to-Optimize-Irrigation-Using-a-Crop-Simulation-Model-and-Weather-History.pdf))

- J. Garrett, and E. Tong, ["A Dispersion-Compensated Algorithm for the Analysis of Electromagnetic Waveguides,"](https://ieeexplore.ieee.org/document/9447194) *IEEE Signal Process. Lett.*, vol. 28, pp. 1175-1179, Jun. 2021.

- G. Jegannathan, *et al.*, ["Current-Assisted SPAD with Improved p-n Junction and Enhanced NIR Performance"](https://www.mdpi.com/1424-8220/20/24/7105), *Sensors*, Dec 2020. ([open access](https://www.mdpi.com/1424-8220/20/24/7105))

- H. Tian, *et al.*, ["ivis Dimensionality Reduction Framework for Biomacromolecular Simulations"](https://pubs.acs.org/doi/abs/10.1021/acs.jcim.0c00485), *J. Chem. Inf. Model.*, Aug 2020. ([open access](https://arxiv.org/pdf/2004.10718.pdf))

- P. Stoltz, *et al.*, ["A new simple algorithm for space charge limited emission,"](https://aip.scitation.org/doi/10.1063/5.0020781) *Phys. Plasmas*, vol. 27, no. 9, pp. 093103, Sep. 2020. ([open access](https://aip.scitation.org/doi/10.1063/5.0020781))

- J. Garrett, *et al.*, ["A Nonlinear Transmission Line Model for Simulating Distributed SIS Frequency Multipliers,"](https://ieeexplore.ieee.org/abstract/document/9050728)  *IEEE Trans. THz Sci. Technol.*, vol. 10, no. 3, pp. 246-255, May 2020. ([open access](https://ora.ox.ac.uk/objects/uuid:5ca31c2c-a984-462c-b21a-3fe16eee0d9b/download_file?safe_filename=XXXX_final_JohnGarrett.pdf&type_of_work=Journal+article))

- J. Garrett, *et al.*, ["Simulating the Behavior of a 230 GHz SIS Mixer Using Multi-Tone Spectral Domain Analysis,"](https://ieeexplore.ieee.org/document/8822760/) *IEEE Trans. THz Sci. Technol.*, vol. 9, no. 9, pp. 540-548, Nov. 2019. ([open access](https://ora.ox.ac.uk/objects/uuid:0fd4537d-258c-454a-bbfb-09b1bcd88d49/download_file?file_format=pdf&safe_filename=XXXX_final.pdf&type_of_work=Journal+article))

- J. Garrett, *et al.*, ["A Compact and Easy to Fabricate E-plane Waveguide Bend,"](https://ieeexplore.ieee.org/document/8760521) *IEEE Microw. Wireless Compon. Lett.*, vol. 29, no. 8, pp. 529-531, Aug. 2019. ([open access](https://ora.ox.ac.uk/objects/uuid:496855f9-be2a-47cd-b498-1753d8033f50/download_file?file_format=pdf&safe_filename=Waveguide_Bend__IEEE_MWCL_.pdf&type_of_work=Journal+article))

- J. Garrett, ["A 230 GHz Focal Plane Array Using a Wide IF Bandwidth SIS Receiver,"](https://ora.ox.ac.uk/objects/uuid:d47fbf3b-1cf3-4e58-be97-767b9893066e/download_file?file_format=pdf&safe_filename=GarrettJ_DPhilThesis.pdf&type_of_work=Thesis) DPhil thesis, University of Oxford, Oxford, UK, 2018. ([open access](https://ora.ox.ac.uk/objects/uuid:d47fbf3b-1cf3-4e58-be97-767b9893066e/download_file?file_format=pdf&safe_filename=GarrettJ_DPhilThesis.pdf&type_of_work=Thesis))

If you use ``SciencePlots`` in your paper/thesis, feel free to add it to the list!

Citing SciencePlots
-------------------

You don't have to cite SciencePlots if you use it but it's nice if you do:

    @article{SciencePlots,
      author       = {John D. Garrett},
      title        = {{garrettj403/SciencePlots}},
      month        = sep,
      year         = 2021,
      publisher    = {Zenodo},
      version      = {1.0.9},
      doi          = {10.5281/zenodo.4106649},
      url          = {http://doi.org/10.5281/zenodo.4106649}
    }


================================================
FILE: examples/plot-examples.py
================================================
"""Plot examples of SciencePlot styles."""

# %%
import numpy as np
import matplotlib.pyplot as plt
import scienceplots  # noqa: F401

import os

# Check we are in examples dir
current_dir = os.getcwd().lower()
if current_dir.endswith("scienceplots"):
    os.chdir("./examples")
# Create 'figures' folder if it does not exist
if not os.path.exists("./figures"):
    os.makedirs("figures")


def model(x, p):
    return x ** (2 * p + 1) / (1 + x ** (2 * p))


pparam = dict(xlabel="Voltage (mV)", ylabel=r"Current ($\mu$A)")

x = np.linspace(0.75, 1.25, 201)


# %%
# Style 'science'

with plt.style.context(["science"]):
    fig, ax = plt.subplots()
    for p in [10, 15, 20, 30, 50, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title="Order")
    ax.autoscale(tight=True)
    ax.set(**pparam)
    fig.savefig("figures/fig01a.jpg", dpi=300)
    plt.close()

# %%
# Styles 'science', 'no-latex'
with plt.style.context(["science", "no-latex"]):
    fig, ax = plt.subplots()
    for p in [10, 15, 20, 30, 50, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title="Order")
    ax.autoscale(tight=True)
    ax.set(**pparam)
    fig.savefig("figures/fig01b.jpg", dpi=300)
    plt.close()

# %%
# Styles 'science', 'ieee'
with plt.style.context(["science", "ieee"]):
    fig, ax = plt.subplots()
    for p in [10, 20, 40, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title="Order")
    ax.autoscale(tight=True)
    ax.set(**pparam)
    fig.savefig("figures/fig02a.jpg", dpi=300)
    plt.close()


# %%
# Styles 'science', 'ieee', 'std-colors'
with plt.style.context(["science", "ieee", "std-colors"]):
    fig, ax = plt.subplots()
    for p in [10, 15, 20, 30, 50, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title="Order")
    ax.autoscale(tight=True)
    ax.set(**pparam)
    fig.savefig("figures/fig02b.jpg", dpi=300)
    plt.close()

# %%
# Styles 'science', 'nature'
with plt.style.context(["science", "nature"]):
    fig, ax = plt.subplots()
    for p in [10, 15, 20, 30, 50, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title="Order")
    ax.autoscale(tight=True)
    ax.set(**pparam)
    fig.savefig("figures/fig02c.jpg", dpi=300)
    plt.close()

# %%
# Styles 'science', 'scatter'
with plt.style.context(["science", "scatter"]):
    fig, ax = plt.subplots(figsize=(4, 4))
    ax.plot([-2, 2], [-2, 2], "k--")
    ax.fill_between(
        [-2, 2], [-2.2, 1.8], [-1.8, 2.2], color="dodgerblue", alpha=0.2, lw=0
    )
    for i in range(7):
        x1 = np.random.normal(0, 0.5, 10)
        y1 = x1 + np.random.normal(0, 0.2, 10)
        ax.plot(x1, y1, label=r"$^\#${}".format(i + 1))
    lgd = r"$\mathring{P}=\begin{cases}1&\text{if $\nu\geq0$}\\0&\text{if $\nu<0$}\end{cases}$"
    ax.legend(title=lgd, loc=2, ncol=2)
    xlbl = r"$\log_{10}\left(\frac{L_\mathrm{IR}}{\mathrm{L}_\odot}\right)$"
    ylbl = r"$\log_{10}\left(\frac{L_\circledast}{\mathrm{L}_\odot}\right)$"
    ax.set_xlabel(xlbl)
    ax.set_ylabel(ylbl)
    ax.set_xlim([-2, 2])
    ax.set_ylim([-2, 2])
    fig.savefig("figures/fig03.jpg", dpi=300)
    plt.close()

# %%
# Styles 'science', 'high-vis'
with plt.style.context(["science", "high-vis"]):
    fig, ax = plt.subplots()
    for p in [10, 15, 20, 30, 50, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title="Order")
    ax.autoscale(tight=True)
    ax.set(**pparam)
    fig.savefig("figures/fig04.jpg", dpi=300)
    plt.close()

# %%
# Styles 'dark_background', 'science', 'high-vis'
with plt.style.context(["dark_background", "science", "high-vis"]):
    fig, ax = plt.subplots()
    for p in [10, 15, 20, 30, 50, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title="Order")
    ax.autoscale(tight=True)
    ax.set(**pparam)
    fig.savefig("figures/fig05.jpg", dpi=300)
    plt.close()

# %%
# Styles 'science', 'notebook'
with plt.style.context(["science", "notebook"]):
    fig, ax = plt.subplots()
    for p in [10, 15, 20, 30, 50, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title="Order")
    ax.autoscale(tight=True)
    ax.set(**pparam)
    fig.savefig("figures/fig10.jpg", dpi=300)
    plt.close()

# %%
# Plot different color cycles

# %%
# Styles 'science', 'bright'
with plt.style.context(["science", "bright"]):
    fig, ax = plt.subplots()
    for p in [5, 10, 15, 20, 30, 50, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title="Order")
    ax.autoscale(tight=True)
    ax.set(**pparam)
    fig.savefig("figures/fig06.jpg", dpi=300)
    plt.close()

# %%
# Styles 'science', 'vibrant'
with plt.style.context(["science", "vibrant"]):
    fig, ax = plt.subplots()
    for p in [5, 10, 15, 20, 30, 50, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title="Order")
    ax.autoscale(tight=True)
    ax.set(**pparam)
    fig.savefig("figures/fig07.jpg", dpi=300)
    plt.close()

# %%
# Styles 'science', 'muted'
with plt.style.context(["science", "muted"]):
    fig, ax = plt.subplots()
    for p in [5, 7, 10, 15, 20, 30, 38, 50, 100, 500]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title="Order", fontsize=7)
    ax.autoscale(tight=True)
    ax.set(**pparam)
    fig.savefig("figures/fig08.jpg", dpi=300)
    plt.close()

# %%
# Styles 'science', 'retro'
with plt.style.context(["science", "retro"]):
    fig, ax = plt.subplots()
    for p in [10, 15, 20, 30, 50, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title="Order")
    ax.autoscale(tight=True)
    ax.set(**pparam)
    fig.savefig("figures/fig09.jpg", dpi=300)
    plt.close()

# %%
# Styles 'science', 'grid'
with plt.style.context(["science", "grid"]):
    fig, ax = plt.subplots()
    for p in [10, 15, 20, 30, 50, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title="Order")
    ax.autoscale(tight=True)
    ax.set(**pparam)
    fig.savefig("figures/fig11.jpg", dpi=300)
    plt.close()

# %%
# Styles 'science', 'high-contrast'
with plt.style.context(["science", "high-contrast"]):
    fig, ax = plt.subplots()
    for p in [10, 20, 50]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title="Order")
    ax.autoscale(tight=True)
    ax.set(**pparam)
    fig.savefig("figures/fig12.jpg", dpi=300)
    plt.close()

# %%
# Styles 'science', 'light'
with plt.style.context(["science", "light"]):
    fig, ax = plt.subplots()
    for p in [5, 7, 10, 15, 20, 30, 38, 50, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title="Order", fontsize=7)
    ax.autoscale(tight=True)
    ax.set(**pparam)
    fig.savefig("figures/fig13.jpg", dpi=300)
    plt.close()

# %%
# Styles for CJK languages
# Note: You need to install the Noto Serif CJK Fonts before running
# examples 14 and 15. See FAQ in README.

# %%
# Styles 'science', 'no-latex', 'cjk-*-font'
with plt.style.context(["science", "no-latex", "cjk-tc-font"]):
    fig, ax = plt.subplots()
    for p in [5, 7, 10, 15, 20, 30, 38, 50, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title="Order", fontsize=7)
    ax.set(xlabel=r"電壓 (mV)")
    ax.set(ylabel=r"電流 ($\mu$A)")
    ax.autoscale(tight=True)
    fig.savefig("figures/fig14a.jpg", dpi=300)
    plt.close()

with plt.style.context(["science", "no-latex", "cjk-sc-font"]):
    fig, ax = plt.subplots()
    for p in [5, 7, 10, 15, 20, 30, 38, 50, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title="Order", fontsize=7)
    ax.set(xlabel=r"电压 (mV)")
    ax.set(ylabel=r"电流 ($\mu$A)")
    ax.autoscale(tight=True)
    fig.savefig("figures/fig14b.jpg", dpi=300)
    plt.close()

with plt.style.context(["science", "no-latex", "cjk-jp-font"]):
    fig, ax = plt.subplots()
    for p in [5, 7, 10, 15, 20, 30, 38, 50, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title="Order", fontsize=7)
    ax.set(xlabel=r"電圧 (mV)")
    ax.set(ylabel=r"電気 ($\mu$A)")
    ax.autoscale(tight=True)
    fig.savefig("figures/fig14c.jpg", dpi=300)
    plt.close()

with plt.style.context(["science", "no-latex", "cjk-kr-font"]):
    fig, ax = plt.subplots()
    for p in [5, 7, 10, 15, 20, 30, 38, 50, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title="Order", fontsize=7)
    ax.set(xlabel=r"전압 (mV)")
    ax.set(ylabel=r"전류 ($\mu$A)")
    ax.autoscale(tight=True)
    fig.savefig("figures/fig14d.jpg", dpi=300)
    plt.close()

# import matplotlib
# matplotlib.use('pgf')  # stwich backend to pgf
# matplotlib.rcParams.update({
#     "pgf.preamble": [
#         "\\usepackage{fontspec}",
#         '\\usepackage{xeCJK}',
#         r'\setmainfont{Times New Roman}',  # EN fonts Romans
#         r'\setCJKmainfont{SimHei}',  # set CJK fonts as SimSun
#         r'\setCJKsansfont{SimHei}',
#         r'\newCJKfontfamily{\Song}{SimSun}',
#         ]
# })

# with plt.style.context(['science', 'cjk-tc-font']):
#     fig, ax = plt.subplots()
#     for p in [5, 7, 10, 15, 20, 30, 38, 50, 100]:
#         ax.plot(x, model(x, p), label=p)
#     ax.legend(title='Order', fontsize=7)
#     ax.set(xlabel=r'電壓 (mV)')
#     ax.set(ylabel=r'電流 ($\mu$A)')
#     ax.autoscale(tight=True)
#     fig.savefig('figures/fig15.pdf', backend='pgf')
#     plt.close()

# %%
# Styles 'science', 'russian-font'
with plt.style.context(["science", "russian-font"]):
    fig, ax = plt.subplots()
    for p in [5, 7, 10, 15, 20, 30, 38, 50, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title=r"Число", fontsize=7)
    ax.set(xlabel=r"Напряжение (mV)")
    ax.set(ylabel=r"Сила тока ($\mu$A)")
    ax.autoscale(tight=True)
    fig.savefig("figures/fig16.jpg", dpi=300)
    plt.close()

# %%
# Styles 'science', 'turkish-font'
with plt.style.context(["science", "turkish-font"]):
    fig, ax = plt.subplots()
    for p in [5, 7, 10, 15, 20, 30, 38, 50, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title=r"Düzen", fontsize=7)
    ax.set(xlabel=r"Gerilim/Volt (mV)")
    ax.set(ylabel=r"Mevcut Güç/Akım ($\mu$A)")
    ax.autoscale(tight=True)
    fig.savefig("figures/fig17.jpg", dpi=300)
    plt.close()

# %%
# Styles 'science', 'no-latex', 'discrete-rainbow-*'
# Plot all discrete-rainbow styles
p_list = np.logspace(0, 2, 23)
for index in range(1, 23 + 1):
    style_name = f"discrete-rainbow-{index}"
    figure_name = f"fig_dr_{index}.jpg"
    with plt.style.context(["science", "no-latex", style_name]):
        fig, ax = plt.subplots()
        for p in p_list[: index]:
            ax.plot(x, model(x, p))
        ax.autoscale(tight=True)
        ax.set(**pparam)
        fig.savefig(f"figures/{figure_name}", dpi=300)
        plt.close()

# %%


================================================
FILE: pyproject.toml
================================================
[build-system]
requires = ["setuptools>=77", "setuptools_scm>=8"]
build-backend = "setuptools.build_meta"

[project]
name = "SciencePlots"
authors = [{ name = "John Garrett", email = "garrettj403@gmail.com" }]
maintainers = [{ name = "Echedey Luis", email = "echelual@gmail.com" }]
description = "Format Matplotlib for scientific plotting"
readme = { file = "README.md", content-type = "text/markdown" }
license = "MIT"
license-files = ["LICENSE"]

keywords = [
    "matplotlib-style-sheets",
    "matplotlib-figures",
    "scientific-papers",
    "thesis-template",
    "matplotlib-styles",
    "python",
]
classifiers = [
    "Development Status :: 6 - Mature",
    "Intended Audience :: Science/Research",
    "Programming Language :: Python :: 3",
    "Topic :: Scientific/Engineering :: Visualization",
    "Framework :: Matplotlib",
]

dynamic = ["version"]

requires-python = ">=3.8"
dependencies = ["matplotlib"]

[project.optional-dependencies]
test = ["pytest", "numpy"]
all = ["SciencePlots[test]"]

[project.urls]
Homepage = "https://github.com/garrettj403/SciencePlots/wiki"
Documentation = "https://github.com/garrettj403/SciencePlots/wiki"
Repository = "https://github.com/garrettj403/SciencePlots"
Issues = "https://github.com/garrettj403/SciencePlots/issues"
Changelog = "https://github.com/garrettj403/SciencePlots/blob/master/CHANGES.md"

[tool.setuptools_scm]
# blank section to avoid warning

[tool.pytest.ini_options]
addopts = "-ra"
testpaths = ["scienceplots/tests"]

[tool.ruff]
# Same as Black.
line-length = 88
indent-width = 4

# Exclude annotations and type comments
lint.ignore = ["ANN"]


================================================
FILE: src/scienceplots/__init__.py
================================================
import os  # pathlib.Path.walk not available in Python <3.12
import matplotlib.pyplot as plt

import scienceplots
from .styles_discovery import read_styles_in_folders

# register the bundled stylesheets in the matplotlib style library
scienceplots_path = scienceplots.__path__[0]
styles_path = os.path.join(scienceplots_path, "styles")

# Reads styles in /styles folder and all subfolders
stylesheets = read_styles_in_folders(styles_path)

# Update dictionary of styles - plt.style.library
plt.style.core.update_nested_dict(plt.style.library, stylesheets)
# Update `plt.style.available`, copy-paste from:
# https://github.com/matplotlib/matplotlib/blob/a170539a421623bb2967a45a24bb7926e2feb542/lib/matplotlib/style/core.py#L266  # noqa: E501
plt.style.core.available[:] = sorted(plt.style.library.keys())


================================================
FILE: src/scienceplots/styles/color/bright.mplstyle
================================================
# Bright color scheme
# color-blind safe
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['4477AA', 'EE6677', '228833', 'CCBB44', '66CCEE', 'AA3377', 'BBBBBB'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-1.mplstyle
================================================
# Discrete rainbow color scheme with 1 color
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['1965B0'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-10.mplstyle
================================================
# Discrete rainbow color scheme with 10 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['882E72', '1965B0', '7BAFDE', '4EB265', 'CAE0AB', 'F7F056', 'F4A736', 'E8601C', 'DC050C', '72190E'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-11.mplstyle
================================================
# Discrete rainbow color scheme with 11 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['882E72', '1965B0', '5289C7', '7BAFDE', '4EB265', 'CAE0AB', 'F7F056', 'F4A736', 'E8601C', 'DC050C', '72190E'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-12.mplstyle
================================================
# Discrete rainbow color scheme with 12 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['D1BBD7', 'AE76A3', '882E72', '1965B0', '5289C7', '7BAFDE', '4EB265', 'CAE0AB', 'F7F056', 'F4A736', 'E8601C', 'DC050C'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-13.mplstyle
================================================
# Discrete rainbow color scheme with 13 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['D1BBD7', 'AE76A3', '882E72', '1965B0', '5289C7', '7BAFDE', '4EB265', '90C987', 'CAE0AB', 'F7F056', 'F4A736', 'E8601C', 'DC050C'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-14.mplstyle
================================================
# Discrete rainbow color scheme with 14 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['D1BBD7', 'AE76A3', '882E72', '1965B0', '5289C7', '7BAFDE', '4EB265', '90C987', 'CAE0AB', 'F7F056', 'F6C141', 'F1932D', 'E8601C', 'DC050C'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-15.mplstyle
================================================
# Discrete rainbow color scheme with 15 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['D1BBD7', 'AE76A3', '882E72', '1965B0', '5289C7', '7BAFDE', '4EB265', '90C987', 'CAE0AB', 'F7F056', 'F6C141', 'F1932D', 'E8601C', 'DC050C', '72190E'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-16.mplstyle
================================================
# Discrete rainbow color scheme with 16 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['D1BBD7', 'BA8DB4', 'AA6F9E', '882E72', '1965B0', '5289C7', '7BAFDE', '4EB265', '90C987', 'CAE0AB', 'F7F056', 'F6C141', 'F1932D', 'E8601C', 'DC050C', '72190E'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-17.mplstyle
================================================
# Discrete rainbow color scheme with 17 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['D1BBD7', 'BA8DB4', 'AA6F9E', '994F88', '882E72', '1965B0', '5289C7', '7BAFDE', '4EB265', '90C987', 'CAE0AB', 'F7F056', 'F6C141', 'F1932D', 'E8601C', 'DC050C', '72190E'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-18.mplstyle
================================================
# Discrete rainbow color scheme with 18 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['D1BBD7', 'BA8DB4', 'AA6F9E', '994F88', '882E72', '1965B0', '5289C7', '7BAFDE', '4EB265', '90C987', 'CAE0AB', 'F7F056', 'F6C141', 'F1932D', 'E8601C', 'DC050C', 'A5170E', '72190E'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-19.mplstyle
================================================
# Discrete rainbow color scheme with 19 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['D9CCE3', 'CAACCB', 'BA8DB4', 'AA6F9E', '994F88', '882E72', '1965B0', '5289C7', '7BAFDE', '4EB265', '90C987', 'CAE0AB', 'F7F056', 'F6C141', 'F1932D', 'E8601C', 'DC050C', 'A5170E', '72190E'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-2.mplstyle
================================================
# Discrete rainbow color scheme with 2 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['1965B0', 'DC050C'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-20.mplstyle
================================================
# Discrete rainbow color scheme with 20 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['D9CCE3', 'CAACCB', 'BA8DB4', 'AA6F9E', '994F88', '882E72', '1965B0', '437DBF', '6195CF', '7BAFDE', '4EB265', '90C987', 'CAE0AB', 'F7F056', 'F6C141', 'F1932D', 'E8601C', 'DC050C', 'A5170E', '72190E'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-21.mplstyle
================================================
# Discrete rainbow color scheme with 21 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['D9CCE3', 'CAACCB', 'BA8DB4', 'AA6F9E', '994F88', '882E72', '1965B0', '437DBF', '6195CF', '7BAFDE', '4EB265', '90C987', 'CAE0AB', 'F7F056', 'F7CB45', 'F4A736', 'EE8026', 'E65518', 'DC050C', 'A5170E', '72190E'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-22.mplstyle
================================================
# Discrete rainbow color scheme with 22 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['D9CCE3', 'CAACCB', 'BA8DB4', 'AA6F9E', '994F88', '882E72', '1965B0', '437DBF', '6195CF', '7BAFDE', '4EB265', '90C987', 'CAE0AB', 'F7F056', 'F7CB45', 'F4A736', 'EE8026', 'E65518', 'DC050C', 'A5170E', '72190E', '42150A'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-23.mplstyle
================================================
# Discrete rainbow color scheme with 23 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['E8ECFB', 'D9CCE3', 'CAACCB', 'BA8DB4', 'AA6F9E', '994F88', '882E72', '1965B0', '437DBF', '6195CF', '7BAFDE', '4EB265', '90C987', 'CAE0AB', 'F7F056', 'F7CB45', 'F4A736', 'EE8026', 'E65518', 'DC050C', 'A5170E', '72190E', '42150A'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-3.mplstyle
================================================
# Discrete rainbow color scheme with 3 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['1965B0', 'F7F056', 'DC050C'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-4.mplstyle
================================================
# Discrete rainbow color scheme with 4 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['1965B0', '4EB265', 'F7F056', 'DC050C'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-5.mplstyle
================================================
# Discrete rainbow color scheme with 5 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['1965B0', '7BAFDE', '4EB265', 'F7F056', 'DC050C'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-6.mplstyle
================================================
# Discrete rainbow color scheme with 6 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['1965B0', '7BAFDE', '4EB265', 'CAE0AB', 'F7F056', 'DC050C'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-7.mplstyle
================================================
# Discrete rainbow color scheme with 7 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['882E72', '1965B0', '7BAFDE', '4EB265', 'CAE0AB', 'F7F056', 'DC050C'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-8.mplstyle
================================================
# Discrete rainbow color scheme with 8 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['882E72', '1965B0', '7BAFDE', '4EB265', 'CAE0AB', 'F7F056', 'EE8026', 'DC050C'])


================================================
FILE: src/scienceplots/styles/color/discrete-rainbow/discrete-rainbow-9.mplstyle
================================================
# Discrete rainbow color scheme with 9 colors
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['882E72', '1965B0', '7BAFDE', '4EB265', 'CAE0AB', 'F7F056', 'EE8026', 'DC050C', '72190E'])


================================================
FILE: src/scienceplots/styles/color/high-contrast.mplstyle
================================================
# High-contrast color scheme
# color-blind safe
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['004488', 'DDAA33', 'BB5566'])


================================================
FILE: src/scienceplots/styles/color/high-vis.mplstyle
================================================
# Matplotlib style for high visability plots (i.e., bright colors!!!)

# Set color cycle
axes.prop_cycle : (cycler('color', ["0d49fb", "e6091c", "26eb47", "8936df", "fec32d", "25d7fd"]) + cycler('ls', ['-', '--', '-.', ':', '-', '--']))


================================================
FILE: src/scienceplots/styles/color/light.mplstyle
================================================
# Light color scheme
# color-blind safe
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['77AADD', 'EE8866', 'EEDD88', 'FFAABB', '99DDFF', '44BB99', 'BBCC33', 'AAAA00', 'DDDDDD'])


================================================
FILE: src/scienceplots/styles/color/muted.mplstyle
================================================
# Muted color scheme
# color-blind safe
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['CC6677', '332288', 'DDCC77', '117733', '88CCEE', '882255', '44AA99', '999933', 'AA4499', 'DDDDDD'])


================================================
FILE: src/scienceplots/styles/color/retro.mplstyle
================================================
# Retro color style

# Set color cycle
axes.prop_cycle : cycler('color', ['4165c0', 'e770a2', '5ac3be', '696969', 'f79a1e', 'ba7dcd'])


================================================
FILE: src/scienceplots/styles/color/std-colors.mplstyle
================================================
# Standard SciencePlots color cycle

# Set color cycle: blue, green, yellow, red, violet, gray
axes.prop_cycle : cycler('color', ['0C5DA5', '00B945', 'FF9500', 'FF2C00', '845B97', '474747', '9e9e9e'])


================================================
FILE: src/scienceplots/styles/color/vibrant.mplstyle
================================================
# Vibrant color scheme
# color-blind safe
# from Paul Tol's website: https://sronpersonalpages.nl/~pault/

# Set color cycle
axes.prop_cycle : cycler('color', ['EE7733', '0077BB', '33BBEE', 'EE3377', 'CC3311', '009988', 'BBBBBB'])


================================================
FILE: src/scienceplots/styles/journals/ieee.mplstyle
================================================
# Matplotlib style for IEEE plots
# This style should work for most two-column journals

# Set color cycle
# Set line style as well for black and white graphs
axes.prop_cycle : (cycler('color', ['k', 'r', 'b', 'g']) + cycler('ls', ['-', '--', ':', '-.']))

# Set default figure size
figure.figsize : 3.3, 2.5
figure.dpi : 600

# Font sizes
font.size : 8
font.family : serif
font.serif : Times


================================================
FILE: src/scienceplots/styles/journals/nature.mplstyle
================================================
# Matplotlib style for Nature journal figures.
# In general, they advocate for all fonts to be panel labels to be sans serif
# and all font sizes in a figure to be 7 pt and panel labels to be 8 pt bold.

# Figure size
figure.figsize : 3.3, 2.5  # max width is 3.5 for single column

# Font sizes
axes.labelsize: 7
xtick.labelsize: 7
ytick.labelsize: 7
legend.fontsize: 7
font.size: 7

# Font Family
font.family: sans-serif
font.sans-serif: DejaVu Sans, Arial, Helvetica, Lucida Grande, Verdana, Geneva, Lucid, Avant Garde, sans-serif
mathtext.fontset : dejavusans

# Set line widths
axes.linewidth : 0.5
grid.linewidth : 0.5
lines.linewidth : 1.
lines.markersize: 3

# Always save as 'tight'
# savefig.bbox : tight
# savefig.pad_inches : 0.01  # Use virtually all space when we specify figure dimensions

# LaTeX packages
text.latex.preamble : \usepackage{amsmath} \usepackage{amssymb} \usepackage{sfmath}


================================================
FILE: src/scienceplots/styles/languages/cjk-jp-font.mplstyle
================================================
# Add fonts for CJK characters (Japanese)
# See FAQ in README for installation instructions

font.serif : Noto Serif CJK JP
font.family : serif


================================================
FILE: src/scienceplots/styles/languages/cjk-kr-font.mplstyle
================================================
# Add fonts for CJK characters (Korean)
# See FAQ in README for installation instructions

font.serif : Noto Serif CJK KR
font.family : serif


================================================
FILE: src/scienceplots/styles/languages/cjk-sc-font.mplstyle
================================================
# Add fonts for CJK characters (simplified Chinese)
# See FAQ in README for installation instructions

font.serif : Noto Serif CJK SC
font.family : serif


================================================
FILE: src/scienceplots/styles/languages/cjk-tc-font.mplstyle
================================================
# Add fonts for CJK characters (traditional Chinese)
# See FAQ in README for installation instructions

font.serif : Noto Serif CJK TC
font.family : serif


================================================
FILE: src/scienceplots/styles/languages/russian-font.mplstyle
================================================
# Add Latex packages for Russian (cyrillic) fonts

text.latex.preamble : \usepackage[russian]{babel} \usepackage[utf8]{inputenc} \usepackage[T2A]{fontenc} \usepackage{amsmath} \usepackage{amssymb}


================================================
FILE: src/scienceplots/styles/languages/turkish-font.mplstyle
================================================
# Add Latex packages for Turkish (Türkçe) fonts

text.latex.preamble: \usepackage[turkish]{babel} \usepackage[T1]{fontenc} \usepackage{lmodern} \usepackage{amsmath} \usepackage{amssymb}


================================================
FILE: src/scienceplots/styles/misc/grid.mplstyle
================================================
# Add grid lines and turn the legend frame on

# Grid lines
axes.grid : True
axes.axisbelow : True
grid.linestyle : --
grid.color : k
grid.alpha : 0.5
grid.linewidth : 0.5

# Legend
legend.frameon : True
legend.framealpha : 1.0
legend.fancybox : True
legend.numpoints : 1


================================================
FILE: src/scienceplots/styles/misc/latex-sans.mplstyle
================================================
# Latex with sans-serif fonts

mathtext.fontset : dejavusans

# Use LaTeX for math formatting
text.usetex : True

# In general, we need to be careful with the preamble. A common font for
# sans serif LaTeX is cmbright. However, it does not support bold fontweights
# so we use sfmath instead. 
text.latex.preamble : \usepackage{amsmath} \usepackage{amssymb} \usepackage{sfmath}


================================================
FILE: src/scienceplots/styles/misc/no-latex.mplstyle
================================================
# Deactivate LaTeX
# and use mathtext

text.usetex : False

# Set fonts to be LaTeX defaults
font.serif : STIXGeneral
font.family : serif
axes.formatter.use_mathtext : True
mathtext.fontset : cm


================================================
FILE: src/scienceplots/styles/misc/pgf.mplstyle
================================================
# Add LaTeX package to allow PGF plots

text.latex.preamble : \usepackage{amsmath} \usepackage[T1]{fontenc} \usepackage{pgfplots}


================================================
FILE: src/scienceplots/styles/misc/sans.mplstyle
================================================
# Sans-serif
font.family : sans-serif

# Latex with sans-serif fonts
mathtext.fontset : dejavusans

# In general, we need to be careful with the preamble. A common font for
# sans serif LaTeX is cmbright. However, it does not support bold fontweights
# so we use sfmath instead. 
text.latex.preamble : \usepackage{amsmath} \usepackage{amssymb} \usepackage{sfmath}


================================================
FILE: src/scienceplots/styles/notebook.mplstyle
================================================
# Matplotlib style for Jupyter notebooks

# Set default figure size
figure.figsize : 8, 6

# Set x axis
xtick.major.size : 6
xtick.major.width : 1
xtick.minor.size : 3
xtick.minor.width : 1

# Set y axis
ytick.major.size : 6
ytick.major.width : 1
ytick.minor.size : 3
ytick.minor.width : 1

# Fontsizes
xtick.labelsize : 16
ytick.labelsize : 16
legend.fontsize : 16
legend.title_fontsize : 16
axes.titlesize : 16
axes.labelsize : 16

# Set line widths
axes.linewidth : 1
grid.linewidth : 1
lines.linewidth : 2.

# Use sans-serif fonts
font.family : sans-serif
mathtext.fontset : dejavusans

# Use LaTeX for math formatting
text.usetex : False


================================================
FILE: src/scienceplots/styles/scatter.mplstyle
================================================
# Matplotlib style for scatter plots

# Set markers (style, color, no lines)
axes.prop_cycle : (cycler('marker', ['o', 's', '^', 'v', '<', '>', 'd']) + cycler('color', ['0C5DA5', '00B945', 'FF9500', 'FF2C00', '845B97', '474747', '9e9e9e']) + cycler('ls', [' ', ' ', ' ', ' ', ' ', ' ', ' ']))

# Set marker size
lines.markersize : 3


================================================
FILE: src/scienceplots/styles/science.mplstyle
================================================
# Matplotlib style for scientific plotting
# This is the base style for "SciencePlots"
# see: https://github.com/garrettj403/SciencePlots

# Set color cycle: blue, green, yellow, red, violet, gray
axes.prop_cycle : cycler('color', ['0C5DA5', '00B945', 'FF9500', 'FF2C00', '845B97', '474747', '9e9e9e'])

# Set default figure size
figure.figsize : 3.5, 2.625

# Set x axis
xtick.direction : in
xtick.major.size : 3
xtick.major.width : 0.5
xtick.minor.size : 1.5
xtick.minor.width : 0.5
xtick.minor.visible : True
xtick.top : True

# Set y axis
ytick.direction : in
ytick.major.size : 3
ytick.major.width : 0.5
ytick.minor.size : 1.5
ytick.minor.width : 0.5
ytick.minor.visible : True
ytick.right : True

# Set line widths
axes.linewidth : 0.5
grid.linewidth : 0.5
lines.linewidth : 1.

# Remove legend frame
legend.frameon : False

# Always save as 'tight'
savefig.bbox : tight
savefig.pad_inches : 0.05

# Use serif fonts
# font.serif : Times
font.family : serif
mathtext.fontset : dejavuserif

# Use LaTeX for math formatting
text.usetex : True
text.latex.preamble : \usepackage{amsmath} \usepackage{amssymb}


================================================
FILE: src/scienceplots/styles_discovery.py
================================================
import os

import matplotlib.pyplot as plt


def read_styles_in_folders(root_path):
    """
    Reads all stylesheets in the given path and its subfolders.

    Parameters
    ----------
    root_path : str
        Path to the root folder containing the stylesheets and other subfolders
        with stylesheets.

    Returns
    -------
    stylesheets : dict
        Dictionary of stylesheets in the form of {style_name: rcParams}.
        Should be compatible with matplotlib's plt.style.library dictionary.
    """
    stylesheets = {}  # plt.style.library is a dictionary
    for folder, _, _ in os.walk(root_path):
        new_stylesheets = plt.style.core.read_style_directory(folder)
        stylesheets.update(new_stylesheets)
    return stylesheets


================================================
FILE: src/scienceplots/tests/__init__.py
================================================


================================================
FILE: src/scienceplots/tests/conftest.py
================================================
"""
Configuration of SciencePlots tests
"""

import pytest
import scienceplots
import numpy as np

import os
from pathlib import Path

STYLES_PATH = Path(scienceplots.__path__[0], "styles")


def get_styles_in_dir(dir):
    """
    Input: directory path
    Output: set of matplotlib styles filenames (without trailing '.mplstyle')
    """
    styles_paths = Path(dir).glob("*.mplstyle")
    return set(fn.stem for fn in styles_paths)


@pytest.fixture(scope="session")
def styles_in_scienceplots_per_folder():
    """
    Output: dictionary of styles per folder in SciencePlots
    """
    styles_per_folder = {}
    for folder, _, _ in os.walk(STYLES_PATH):  # 1st _ : subdirs, 2nd _ : files
        folder = Path(folder)
        styles_per_folder[folder.name] = get_styles_in_dir(folder)
    return styles_per_folder


@pytest.fixture(scope="session")
def xy_example_values():
    """
    Output: "x" 1D values, "y" 2D values, and 1D "p" values for the example plot
    """

    def model(x, p):  # from examples/plot-examples.py
        return x ** (2 * p + 1) / (1 + x ** (2 * p))

    x = np.linspace(0.75, 1.25, 201)
    p = [10, 15, 20, 30, 50, 100]
    res = np.fromiter(map(lambda p: model(x, p), p), dtype=np.dtype((float, len(x))))
    return x, res, p


================================================
FILE: src/scienceplots/tests/test_scienceplots.py
================================================
"""Test suite of SciencePlots
"""

import matplotlib.pyplot as plt


def test_matplotlib_required_api_existence():
    """Check if all functions and attributes used by scienceplots are available
    in matplotlib.
    """
    assert hasattr(plt.style, "core")
    assert hasattr(plt.style.core, "read_style_directory")
    assert hasattr(plt.style.core, "update_nested_dict")
    assert hasattr(plt.style, "available")
    assert hasattr(plt.style, "library")


def test_styles_existence(styles_in_scienceplots_per_folder):
    """Check all styles are available in matplotlib."""
    for folder, styles in styles_in_scienceplots_per_folder.items():
        assert len(styles) > 0, f"No styles found in {folder}."
        for style in styles:
            assert (  # both in list of names and the library they are retrieved from hello
                style in plt.style.available and style in plt.style.library
            ), f"'{style}' not in available styles. Style in folder {folder}."


def test_usage_of_each_style(
    xy_example_values, styles_in_scienceplots_per_folder, tmp_path,
):
    """Tests if the styles are correctly formatted and can be applied to a plot."""
    pparam = {"xlabel": "Voltage (mV)", "ylabel": r"Current ($\mu$A)"}
    x, ys, p = xy_example_values
    for folder, styles in styles_in_scienceplots_per_folder.items():
        for style in styles:
            output_file = tmp_path / f"test_{folder}_{style}.png"
            with plt.style.context(style):
                fig, ax = plt.subplots()
                for y in ys:
                    ax.plot(x, y)
                ax.legend(p, title="Order")
                ax.set(**pparam)
                ax.autoscale(tight=True)
                fig.savefig(output_file)
                plt.close(fig)