Metadata-Version: 2.4
Name: gypt_matplotlib
Version: 0.6.2
Summary: A small addon for matplotlib that can be used for the GYPT.
License-Expression: MIT
License-File: LICENSE
Keywords: Albert Unruh,GYPT,German Young Physicists' Tournament,matplotlib,addon
Author: Keenan Noack
Author-email: gypt-matplotlib@albertunruh.de
Requires-Python: >=3.12
Classifier: Framework :: Matplotlib
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: German
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Utilities
Classifier: Typing :: Typed
Requires-Dist: matplotlib (>=3.10.8,<4.0.0)
Requires-Dist: pyqt6 (>=6.10.2,<7.0.0)
Project-URL: Homepage, https://codeberg.org/AlbertUnruh/gypt-matplotlib
Project-URL: issues, https://codeberg.org/AlbertUnruh/gypt-matplotlib/issues
Project-URL: soucecode, https://codeberg.org/AlbertUnruh/gypt-matplotlib
Description-Content-Type: text/markdown

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# gypt_matplotlib
A small addon for matplotlib that can be used for the GYPT.

---

> [!NOTE]
> To install `gypt-matplotlib`, simply use `pip`.
> ```cmd
> pip install gypt_matplotlib
> ```

---

### GYPT?
GYPT stands for **G**erman **Y**oung **P**hysicists’ **T**ournament.

Further information can be found at [gypt.org][].


### I'm a participant of the GYPT. Can I contribute?
Of course, you can.
Even if you are just a former participant, you are welcome.
In fact, everyone is welcome to contribute or ask for features!

Simply open an [issue][] and say what you would like to do so that details can be clarified directly.


[issue]: https://codeberg.org/AlbertUnruh/gypt-matplotlib/issues


### Where did you get the stylesheet?
It's available over [here][stylesheet] at the [GYPT wiki][wiki].


[gypt.org]: https://gypt.org
[wiki]: https://wiki.gypt.org
[stylesheet]: https://wiki.gypt.org/index.php/Python/stylesheet


---

### How to use:

#### Applying GYPT-stylesheet
Just import the library. The stylesheet will be automatically applied.
```python
import gypt_matplotlib as gypt
```

#### Creating plots with ``a.u.`` (arbitrary units)
You can use the context manager ``gypt.au_plot()``
to create plots where the concept and not the actual numbers are important.
```python
import matplotlib.pyplot as plt
import gypt_matplotlib as gypt

with gypt.au_plot():
    plt.title("Demo of plot without numbers on X-/Y-Axis.")
    plt.show()

# or even more advanced:
with gypt.au_plot(), gypt.auto_save_and_show("path/to/file.png"):
    plt.title("Demo of plot without numbers on X-/Y-Axis.")
```

#### Using other diverse context managers
```python
import matplotlib.pyplot as plt
import gypt_matplotlib as gypt

with gypt.auto_close():
    # This context manager automatically calls ``plt.close()``.
    # Saving and displaying have to be done manually!
    ...

with gypt.auto_show():
    # This context manager automatically calls ``plt.show()`` and ``plt.close()``.
    # It's incompatible with ``gypt.auto_save()``! Use ``gypt.auto_save_and_show()`` instead!
    ...

with gypt.auto_save("path/to/file.png"):
    # This context manager automatically calls ``plt.savefig()`` and ``plt.close()``.
    # It's incompatible with ``gypt.auto_show()``! Use ``gypt.auto_save_and_show()`` instead!
    ...

with gypt.auto_save_and_show("path/to/file.png"):
    # This context manager automatically calls ``plt.savefig()``, ``plt.show()`` and ``plt.close()``.
    ...
```

#### Using ``utils``
This library offers multiple utilities which can be used.
The following utils are included:
- [``axes_label``](#axes_label)
- [``tex``](#tex)

##### ``axes_label``
```python
import gypt_matplotlib as gypt

# with a unit
print(gypt.axes_label("v", unit=r"\frac{m}{s}"))  # $v$ in $\frac{m}{s}$

# with arbitrary unit
print(gypt.axes_label("I", is_au=True))  # $I$ in $\text{a.u.}$
```

##### ``tex``
```python
import gypt_matplotlib as gypt

print(gypt.tex(r"e^{i\pi}+1=0"))  # $e^{i\pi}+1=0$
```

