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https://github.com/haykh/myplotlib

matplotlib binder with custom styles and routines for fast plotting
https://github.com/haykh/myplotlib

matplotlib plotting python

Last synced: 11 months ago
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matplotlib binder with custom styles and routines for fast plotting

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README

          

# `myplotlib`

`matplotlib` binder with custom styles and routines for fast plotting. see [previews of available styles](https://github.com/haykh/myplotlib/tree/master/previews#readme).

### installation

```shell
pip install myplotlib
```

### usage

#### loading style, fonts & colormaps

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

plt.style.use(STYLE)
# STYLE can be:
# - fancy.dark, fancy.light
# - hershey.dark, hershey.light
# - mono.dark, mono.light
# - latex

# you may also combine the styles:
plt.style.use([STYLE1, STYLE2])

# and you can temporarily load the style:
with plt.style.context(STYLE):
plt.plot(...)
```

#### auxiliary plotting functions

```python
import myplotlib.plots as myplt
# type for docstring:
myplt?

# for specific function:
myplt.plot2d?

# preview custom styles with built-in functions
import myplotlib.tests as mypltest
# type for docstring:
mypltest?
```

for more usage examples checkout the `tests/` submodule.

### requirements

* `python >= 3.8`
* `matplotlib >= 3.5.0`, `numpy`
* `latex` (used for `style="fancy"` only)
* `numba>=0.57.0`

### development

Building tarballs in the `dist` directory:

```sh
python -m build --sdist --outdir dist .
```

### To-do

- [ ] isocontour plotting
- [x] add streamplot for fieldline plotting
- [x] print all the newly added colormaps and the default color sequence
- [x] add a test plot for the demo
- [x] add image to readme
- [x] dark mode
- [x] monotype non-Latex mode