diff --git a/README.md b/README.md
index 584d9056..3c51fbbc 100644
--- a/README.md
+++ b/README.md
@@ -28,262 +28,268 @@
-
-
-# matplot2tikz
-The artist formerly known as tikzplotlib.
-
-
-
-
-[](https://github.com/astral-sh/ruff)
-[](https://mypy-lang.org/)
-[](https://codecov.io/gh/ErwindeGelder/matplot2tikz)
-[](https://pepy.tech/projects/matplot2tikz)
-
-This is matplot2tikz, a Python tool for converting matplotlib figures into
-[PGFPlots](https://www.ctan.org/pkg/pgfplots) ([PGF/TikZ](https://www.ctan.org/pkg/pgf))
-figures like
-
-
-
-for native inclusion into LaTeX or ConTeXt documents.
-
-The output of matplot2tikz is in [PGFPlots](https://github.com/pgf-tikz/pgfplots/), a TeX
-library that sits on top of [PGF/TikZ](https://en.wikipedia.org/wiki/PGF/TikZ) and
-describes graphs in terms of axes, data etc. Consequently, the output of matplot2tikz
-
-- retains more information,
-- can be more easily understood, and
-- is more easily editable
-
-than [raw TikZ output](https://matplotlib.org/users/whats_new.html#pgf-tikz-backend).
-For example, the matplotlib figure
-
-```python
-import matplotlib.pyplot as plt
-import numpy as np
-
-plt.style.use("ggplot")
-
-t = np.arange(0.0, 2.0, 0.1)
-s = np.sin(2 * np.pi * t)
-s2 = np.cos(2 * np.pi * t)
-plt.plot(t, s, "o-", lw=4.1)
-plt.plot(t, s2, "o-", lw=4.1)
-plt.xlabel("time (s)")
-plt.ylabel("Voltage (mV)")
-plt.title("Simple plot $\\frac{\\alpha}{2}$")
-plt.grid(True)
-
-import matplot2tikz
-
-matplot2tikz.save("test.tex")
-```
-
--->
-(see above) gives
-
-```latex
-\begin{tikzpicture}
-
-\definecolor{chocolate2267451}{RGB}{226,74,51}
-\definecolor{dimgray85}{RGB}{85,85,85}
-\definecolor{gainsboro229}{RGB}{229,229,229}
-\definecolor{steelblue52138189}{RGB}{52,138,189}
-\begin{axis}[
-axis background/.style={fill=gainsboro229},
-axis line style={white},
-tick align=outside,
-tick pos=left,
-title={Simple plot \(\displaystyle \frac{\alpha}{2}\)},
-x grid style={white},
-xlabel=\textcolor{dimgray85}{time (s)},
-xmajorgrids,
-xmin=-0.095, xmax=1.995,
-xtick style={color=dimgray85},
-y grid style={white},
-ylabel=\textcolor{dimgray85}{Voltage (mV)},
-ymajorgrids,
-ymin=-1.1, ymax=1.1,
-ytick style={color=dimgray85}
-]
-\addplot [line width=1.64pt, chocolate2267451, mark=*, mark size=3, mark options={solid}]
-table {%
-0 0
-% [...]
-1.9 -0.587785252292473
-};
-\addplot [line width=1.64pt, steelblue52138189, mark=*, mark size=3, mark options={solid}]
-table {%
-0 1
-% [...]
-1.9 0.809016994374947
-};
-\end{axis}
-
-\end{tikzpicture}
-```
-
-(Use `get_tikz_code()` instead of `save()` if you want the code as a string.)
-
-Tweaking the plot is straightforward and can be done as part of your TeX work flow.
-[The fantastic PGFPlots manual](http://pgfplots.sourceforge.net/pgfplots.pdf) contains
-great examples of how to make your plot look even better.
-
-Of course, not all figures produced by matplotlib can be converted without error.
-Notably, [3D plots don't work](https://github.com/matplotlib/matplotlib/issues/7243).
-
-## Installation
-
-matplot2tikz is [available from the Python Package
-Index](https://pypi.org/project/matplot2tikz/), so simply do
-
-```
-pip install matplot2tikz
-```
-
-to install.
-
-## Usage
-
-1. Generate your matplotlib plot as usual.
-
-2. Instead of `pyplot.show()`, invoke matplot2tikz by
-
- ```python
- import matplot2tikz
-
- matplot2tikz.save("mytikz.tex")
- # or
- matplot2tikz.save("mytikz.tex", flavor="context")
- ```
-
- to store the TikZ file as `mytikz.tex`.
-
-3. Add the contents of `mytikz.tex` into your TeX source code. A convenient way of doing
- so is via
-
- ```latex
- \input{/path/to/mytikz}
- ```
-
- Also make sure that the packages for PGFPlots and proper Unicode support and are
- included in the header of your document:
-
- ```latex
- \usepackage[utf8]{inputenc}
- \usepackage{pgfplots}
- \DeclareUnicodeCharacter{2212}{−}
- \usepgfplotslibrary{groupplots,dateplot}
- \usetikzlibrary{patterns,shapes.arrows}
- \pgfplotsset{compat=newest}
- ```
-
- or:
-
- ```latex
- \setupcolors[state=start]
- \usemodule[tikz]
- \usemodule[pgfplots]
- \usepgfplotslibrary[groupplots,dateplot]
- \usetikzlibrary[patterns,shapes.arrows]
- \pgfplotsset{compat=newest}
- \unexpanded\def\startgroupplot{\groupplot}
- \unexpanded\def\stopgroupplot{\endgroupplot}
- ```
-
- You can also get the code via:
-
- ```python
- import matplot2tikz
-
- matplot2tikz.Flavors.latex.preamble()
- # or
- matplot2tikz.Flavors.context.preamble()
- ```
-
-4. [Optional] Clean up the figure before exporting to tikz using the `clean_figure`
- command.
-
- ```python
- import matplotlib.pyplot as plt
- import numpy as np
-
- # ... do your plotting
-
- import matplot2tikz
-
- matplot2tikz.clean_figure()
- matplot2tikz.save("test.tex")
- ```
-
- The command will remove points that are outside the axes limits, simplify curves and
- reduce point density for the specified target resolution.
-
-## matplot2tikz vs. tikzplotlib
-
-This matplot2tikz library originated from the [tikzplotlib](https://github.com/nschloe/tikzplotlib)
-project.
-The reason a new library has been created is because tikzplotlib is no longer maintained and
-maintainance could only be done by the single owner of the tikzplotlib library.
-If you need to use third-party code that already depends on tikzplotlib, it is suggested to change
-the tikzplotlib dependency to matplot2tikz.
-If this is not possible, a workaround is to put the following code *before* importing the
-third-party code:
-
- ```
- import sys
- import matplot2tikz
- sys.modules["tikzplotlib"] = matplot2tikz
- # Do other imports, e.g., using `import my_third_party_library`
- # If tikzplotlib is used in this library, it will automatically use matplot2tikz instead.
- ```
-
-## Contributing
-
-If you experience bugs, would like to contribute, have nice examples of what matplot2tikz
-can do, or if you are just looking for more information, then please visit
-[matplot2tikz's GitHub page](https://github.com/ErwindeGelder/matplot2tikz).
-
-For contributing, follow these steps:
-
-1. Download the git repository, e.g., using
- `git clone git@github.com:ErwindeGelder/matplot2tikz.git`.
-2. Create a virtual environment, e.g., using `python -m venv venv`.
-3. Activate the virtual environment (e.g., on Windows, `venv\Scripts\activate`).
-4. Install `uv` using `pip install uv` and then `tox-uv` using `uv pip install tox-uv`.
-5. The main branch is protected, meaning that you cannot directly push changes to this branch.
- Therefore, if you want to make changes, do so in a seperate branch. For example, you can create
- a new branch using `git checkout -b feature/my_awesome_new_feature`.
-6. Before pushing changes, ensure that the code adheres to the linting rules and that the tests are
- successful. Run `tox`. This does a linting check and runs all test scripts. To manually perform
- these steps, use the following commands:
- 1. Run `tox -e lint`. You can do the linting commands manually using:
- 1. (One time) `uv pip install -r requirements-lint.txt`
- 2. `ruff format . --check` (remove the `--check` flag to let `ruff` do the formatting)
- 3. `ruff check .`
- 4. `mypy .`
- 2. Run `tox -e py310`.
- 3. Run `tox -e py311`.
- 4. Run `tox -e py312`.
- 5. Run `tox -e py313`.
- 6. Run `tox -e py314`.
- 7. Run `tox -e combine-test-reports`
-7. Check if the tests covered everything using the coverage report in
- `/reports/coverage_html/index.html`.
-
- NOTE: Currently, now all code is covered. Ideally, all code is covered, but for now, ensure that
- all *new* code is covered by the testing.
-8. Push changes to GitHub. If everything is OK and you want to merge your changes to the `main`
- branch, create a pull request.
- Ideally, there is at least one reviewer who reviews the pull request before the merge.
-
-Note that currently only "Code owners" can merge pull requests onto the `main` branch. This is to
-ensure that not everyone can break the main code (even unintentially). If you want to be a "Code
-owner", let us know!
-
-## License
-
-matplot2tikz is published under the [MIT
-license](https://en.wikipedia.org/wiki/MIT_License).
+
+
+# matplot2tikz
+The artist formerly known as tikzplotlib.
+
+
+
+
+[](https://github.com/astral-sh/ruff)
+[](https://mypy-lang.org/)
+[](https://codecov.io/gh/ErwindeGelder/matplot2tikz)
+[](https://pepy.tech/projects/matplot2tikz)
+
+This is matplot2tikz, a Python tool for converting matplotlib figures into
+[PGFPlots](https://www.ctan.org/pkg/pgfplots) ([PGF/TikZ](https://www.ctan.org/pkg/pgf))
+figures like
+
+
+
+for native inclusion into LaTeX or ConTeXt documents.
+
+The output of matplot2tikz is in [PGFPlots](https://github.com/pgf-tikz/pgfplots/), a TeX
+library that sits on top of [PGF/TikZ](https://en.wikipedia.org/wiki/PGF/TikZ) and
+describes graphs in terms of axes, data etc. Consequently, the output of matplot2tikz
+
+- retains more information,
+- can be more easily understood, and
+- is more easily editable
+
+than [raw TikZ output](https://matplotlib.org/users/whats_new.html#pgf-tikz-backend).
+For example, the matplotlib figure
+
+```python
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use("ggplot")
+
+t = np.arange(0.0, 2.0, 0.1)
+s = np.sin(2 * np.pi * t)
+s2 = np.cos(2 * np.pi * t)
+plt.plot(t, s, "o-", lw=4.1)
+plt.plot(t, s2, "o-", lw=4.1)
+plt.xlabel("time (s)")
+plt.ylabel("Voltage (mV)")
+plt.title("Simple plot $\\frac{\\alpha}{2}$")
+plt.grid(True)
+
+import matplot2tikz
+
+matplot2tikz.save("test.tex")
+```
+
+-->
+(see above) gives
+
+```latex
+\begin{tikzpicture}
+
+\definecolor{chocolate2267451}{RGB}{226,74,51}
+\definecolor{dimgray85}{RGB}{85,85,85}
+\definecolor{gainsboro229}{RGB}{229,229,229}
+\definecolor{steelblue52138189}{RGB}{52,138,189}
+\begin{axis}[
+axis background/.style={fill=gainsboro229},
+axis line style={white},
+tick align=outside,
+tick pos=left,
+title={Simple plot \(\displaystyle \frac{\alpha}{2}\)},
+x grid style={white},
+xlabel=\textcolor{dimgray85}{time (s)},
+xmajorgrids,
+xmin=-0.095, xmax=1.995,
+xtick style={color=dimgray85},
+y grid style={white},
+ylabel=\textcolor{dimgray85}{Voltage (mV)},
+ymajorgrids,
+ymin=-1.1, ymax=1.1,
+ytick style={color=dimgray85}
+]
+\addplot [line width=1.64pt, chocolate2267451, mark=*, mark size=3, mark options={solid}]
+table {%
+0 0
+% [...]
+1.9 -0.587785252292473
+};
+\addplot [line width=1.64pt, steelblue52138189, mark=*, mark size=3, mark options={solid}]
+table {%
+0 1
+% [...]
+1.9 0.809016994374947
+};
+\end{axis}
+
+\end{tikzpicture}
+```
+
+(Use `get_tikz_code()` instead of `save()` if you want the code as a string.)
+
+Tweaking the plot is straightforward and can be done as part of your TeX work flow.
+[The fantastic PGFPlots manual](http://pgfplots.sourceforge.net/pgfplots.pdf) contains
+great examples of how to make your plot look even better.
+
+Of course, not all figures produced by matplotlib can be converted without error.
+Notably, [3D plots don't work](https://github.com/matplotlib/matplotlib/issues/7243).
+
+## Installation
+
+matplot2tikz is [available from the Python Package
+Index](https://pypi.org/project/matplot2tikz/), so simply do
+
+```
+pip install matplot2tikz
+```
+
+to install.
+
+## Usage
+
+1. Generate your matplotlib plot as usual.
+
+2. Instead of `pyplot.show()`, invoke matplot2tikz by
+
+ ```python
+ import matplot2tikz
+
+ matplot2tikz.save("mytikz.tex")
+ # or
+ matplot2tikz.save("mytikz.tex", flavor="context")
+ ```
+
+ to store the TikZ file as `mytikz.tex`.
+
+3. Add the contents of `mytikz.tex` into your TeX source code. A convenient way of doing
+ so is via
+
+ ```latex
+ \input{/path/to/mytikz}
+ ```
+
+ Also make sure that the packages for PGFPlots and proper Unicode support and are
+ included in the header of your document:
+
+ ```latex
+ \usepackage[utf8]{inputenc}
+ \usepackage{pgfplots}
+ \DeclareUnicodeCharacter{2212}{−}
+ \usepgfplotslibrary{groupplots,dateplot}
+ \usetikzlibrary{patterns,shapes.arrows}
+ \pgfplotsset{compat=newest}
+ ```
+
+ or:
+
+ ```latex
+ \setupcolors[state=start]
+ \usemodule[tikz]
+ \usemodule[pgfplots]
+ \usepgfplotslibrary[groupplots,dateplot]
+ \usetikzlibrary[patterns,shapes.arrows]
+ \pgfplotsset{compat=newest}
+ \unexpanded\def\startgroupplot{\groupplot}
+ \unexpanded\def\stopgroupplot{\endgroupplot}
+ ```
+
+ You can also get the code via:
+
+ ```python
+ import matplot2tikz
+
+ matplot2tikz.Flavors.latex.preamble()
+ # or
+ matplot2tikz.Flavors.context.preamble()
+ ```
+
+4. [Optional] Clean up the figure before exporting to tikz using the `clean_figure`
+ command.
+
+ ```python
+ import matplotlib.pyplot as plt
+ import numpy as np
+
+ # ... do your plotting
+
+ import matplot2tikz
+
+ matplot2tikz.clean_figure()
+ matplot2tikz.save("test.tex")
+ ```
+
+ The command will remove points that are outside the axes limits, simplify curves and
+ reduce point density for the specified target resolution.
+
+## matplot2tikz vs. tikzplotlib
+
+This matplot2tikz library originated from the [tikzplotlib](https://github.com/nschloe/tikzplotlib)
+project.
+The reason a new library has been created is because tikzplotlib is no longer maintained and
+maintainance could only be done by the single owner of the tikzplotlib library.
+If you need to use third-party code that already depends on tikzplotlib, it is suggested to change
+the tikzplotlib dependency to matplot2tikz.
+If this is not possible, a workaround is to put the following code *before* importing the
+third-party code:
+
+ ```
+ import sys
+ import matplot2tikz
+ sys.modules["tikzplotlib"] = matplot2tikz
+ # Do other imports, e.g., using `import my_third_party_library`
+ # If tikzplotlib is used in this library, it will automatically use matplot2tikz instead.
+ ```
+
+If you are updating your own scripts from tikzplotlib, you can simply use an import alias:
+
+ ```python
+ import matplot2tikz as tikzplotlib
+ ```
+
+## Contributing
+
+If you experience bugs, would like to contribute, have nice examples of what matplot2tikz
+can do, or if you are just looking for more information, then please visit
+[matplot2tikz's GitHub page](https://github.com/ErwindeGelder/matplot2tikz).
+
+For contributing, follow these steps:
+
+1. Download the git repository, e.g., using
+ `git clone git@github.com:ErwindeGelder/matplot2tikz.git`.
+2. Create a virtual environment, e.g., using `python -m venv venv`.
+3. Activate the virtual environment (e.g., on Windows, `venv\Scripts\activate`).
+4. Install `uv` using `pip install uv` and then `tox-uv` using `uv pip install tox-uv`.
+5. The main branch is protected, meaning that you cannot directly push changes to this branch.
+ Therefore, if you want to make changes, do so in a seperate branch. For example, you can create
+ a new branch using `git checkout -b feature/my_awesome_new_feature`.
+6. Before pushing changes, ensure that the code adheres to the linting rules and that the tests are
+ successful. Run `tox`. This does a linting check and runs all test scripts. To manually perform
+ these steps, use the following commands:
+ 1. Run `tox -e lint`. You can do the linting commands manually using:
+ 1. (One time) `uv pip install -r requirements-lint.txt`
+ 2. `ruff format . --check` (remove the `--check` flag to let `ruff` do the formatting)
+ 3. `ruff check .`
+ 4. `mypy .`
+ 2. Run `tox -e py310`.
+ 3. Run `tox -e py311`.
+ 4. Run `tox -e py312`.
+ 5. Run `tox -e py313`.
+ 6. Run `tox -e py314`.
+ 7. Run `tox -e combine-test-reports`
+7. Check if the tests covered everything using the coverage report in
+ `/reports/coverage_html/index.html`.
+
+ NOTE: Currently, now all code is covered. Ideally, all code is covered, but for now, ensure that
+ all *new* code is covered by the testing.
+8. Push changes to GitHub. If everything is OK and you want to merge your changes to the `main`
+ branch, create a pull request.
+ Ideally, there is at least one reviewer who reviews the pull request before the merge.
+
+Note that currently only "Code owners" can merge pull requests onto the `main` branch. This is to
+ensure that not everyone can break the main code (even unintentially). If you want to be a "Code
+owner", let us know!
+
+## License
+
+matplot2tikz is published under the [MIT
+license](https://en.wikipedia.org/wiki/MIT_License).