https://github.com/simongravelle/pyplot-perso

Personal functions for making Pyplot Python figures
https://github.com/simongravelle/pyplot-perso

curve latex personal preference pyplot python

Last synced: 3 months ago
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Personal functions for making Pyplot Python figures

• Host: GitHub
• URL: https://github.com/simongravelle/pyplot-perso
• Owner: simongravelle
• License: gpl-3.0
• Created: 2023-12-29T22:19:49.000Z (over 1 year ago)
• Default Branch: develop
• Last Pushed: 2024-10-01T14:20:21.000Z (10 months ago)
• Last Synced: 2025-03-29T13:06:28.897Z (4 months ago)
• Topics: curve, latex, personal, preference, pyplot, python
• Language: Python
• Homepage:
• Size: 15.8 MB
• Stars: 15
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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[![DOI](https://zenodo.org/badge/737122279.svg)](https://zenodo.org/doi/10.5281/zenodo.13341527)

[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)

# Matplotlib Pyplot functions

My own Python class for making [Pyplot](https://matplotlib.org/3.5.3/api/_as_gen/matplotlib.pyplot.html)

figures compatible with Latex documents. These functions are used in my most recent publications, as well as in:

- [LAMMPS tutorials](https://lammpstutorials.github.io)

- [NMRforMD](https://nmrformd.readthedocs.io)

## Examples

### Simple bi-panel figure

![illustration](examples/bi-panel.png#gh-light-mode-only)

![illustration](examples/bi-panel-dm.png#gh-dark-mode-only)

The Python code to generate the figure:

```python

    # Initialise figure

    myplt = PltTools()

    myplt.prepare_figure(fig_size = (18,12), dark_mode = dark_mode,

                         transparency = True, n_colone = 2)

    # Panel 1

    myplt.add_panel(panel_position = [0, 0])

    myplt.add_plot(x = x1, y = y1/2, marker = "o", data_color = 2,

                   markersize = 6, data_label = r"$\textrm{data}~\alpha$")

    myplt.add_plot(x = x3, y = y3, marker = "o", data_color = 0, markersize = 10,

                   data_label = r"$\textrm{data}~\beta$")

    myplt.add_plot(x = x2, y = y2, marker = "-", data_color = "autogray",

                   data_label = r"$\textrm{linear fit}$")

    myplt.complete_panel(xlabel = r"$x ~ \textrm{[\AA{}]}$", ylabel = r"$t ~ \textrm{[ps]}$",

                         panel_title = r"$\textrm{Time vs distance}$", xpad = 10)

    myplt.set_boundaries(y_boundaries = (0, 5))

    # Panel 2

    myplt.add_panel(type = 'loglog', panel_position = [0, 1])

    myplt.add_plot(x = x4, y = y4, marker = "o", data_color = 0,

                   markersize = 16)

    myplt.add_plot(x = x5, y = y5, marker = "p", data_color = 0,

                   markersize = 16)

    myplt.add_plot(x = x6, y = y6, marker = "^", data_color = 0,

                   markersize = 16)

    myplt.complete_panel(xlabel = r"$E ~ \textrm{[J]}$", ylabel = r"$N_\textrm{p} ~ [0]$",

                         panel_title = r"$\textrm{Population size vs energy}$", xpad = 10)

    myplt.set_boundaries(x_boundaries = (0.01, 1000), y_boundaries = (0.01, 1000))

    # Finish figure

    myplt.add_subplotlabels(type_label_panel = "a")

    myplt.save_figure(filename = "bi-panel", saving_path = 'examples/', show = False)

```

See also the [examples](examples/examplesmv.ipynb) notebook.

## Light mode vs dark mode

- For web integration, use either dark or light mode with a transparent background, as done for instance in [lammps tutorials](https://lammpstutorials.github.io).

- For scientific publication, use the light mode without transparent background.