TikzPlot

A clean version of PltToTikz, this time as Python package. Easy to use: only replace import matplotlib.pyplot with this library.

Please let me know if you find any bugs or unexpected behaviour. Examples may be found in repository under tests/ directory.

Installation

NEW: PyPI: pip install tikzplot42. Alternativley, download this package and install using: pip install [path], where [path] is the path to the directory, containing pyproject.toml.

Python usage

Instead of using import matplotlib.pyplot (as plt), use import tikzplot.plots (as plt).

LaTeX requirements

All required packages are automatically detected and can be printed at save using kwarg print_requirements=True (for standalone files, preambule is automatically added).

• \usepackage{tikz},
• \usepackage{pgfplots},
• \pgfplotsset{compat=1.18} (may be lower, but compilation is not guaranteed),
• \usepgfplotslibrary{fillbetween} (if you use fill-between plots),
• \usepgfplotslibrary{groupplots} (recommended for best results, enabled by default, may be avoided by setting TikzConfig USE_GROUPPLOTS=False),
• \usepackage{xcolor} (recommended for best colors, works without but needs change of TikzConfig USE_XCOLOR=False),
• \usepgfplotslibrary{polar} required for polar axis,
• \usetikzlibrary{patterns.meta} for hatch patterns (available for fill_between, hist and axvspan/axhspan).

Export using plt.savefig("example_graph.tex") (recommended) or plt.show(). Then use the generated file as \input{example_graph.tex}.

Currently implemented:

Some basic plot commands are already implemented with commonly used arguments:

Plotting

• plot(),
• scatter(),
• loglog(),
• semilogx()/semilogy(),
• errorbar(),
• stem(),
• fill_between(),
• hlines()/vlines(),
• histogram(),
• step(),
• imshow(),
• text(),
• magnify() (used to magnify part of a plot, but Tikz cannot handle fill_between if this one is used, which is a long known issue),
• axvline()/axhline(),
• axvspan()/axhspan() (background span).

Figures

• plt.figure() (currently only to give you figure object or to set figsize),
• plt.subplot(), plt.subplots() (with sharex/sharey fully implemented, projection polar and 3d with basic support),
• set_size_inches(),
• delaxes().

Styles

If axes and plot have different name for command with same effect, both are implemented (e.g. plt.xlim() and ax.set_xlim()).

• grid(),
• xlabel()/ylabel(),
• xlim(), ylim(),
• xscale("log")/yscale("log"),
• xticks()/yticks(),
• ax.set_xticklabels()/ax.set_yticklabels(),
• legend() (basic position control),
• ax.twinx(),
• ax.set().

There is a limited support for built-in styles (e.g. plt.style.use("default")), you may also define your own style using plt.style.set_profile(). Currently supported features are: color cycle (hex colors sequence), line width (in pt), grid (with matplotlib kwargs), background (latex style key=value), additional settings (raw latex code for optional arguments to axis: key=value).

Supported common **kwargs

• color/c,
• linestyle/ls,
• linewidth/ls,
• fmt,
• marker,
• marksize/ms,
• alpha,
• label.

Colorbars

Colorbars and colormaps are implemented a bit differently than in matplotlib (simplified):

• if you use imshow(), you may use its return in Colorbar() (which you have to import as from tikzplot import Colorbar),
• you may use Colorbar(axis, cmap, lower, upper, ...) for manual colorbar. Additional kwargs may also be used by imshow() return,
• note that only one colorbar/colormap per axis is allowed (also if you use scatter with colormap/colorbar).

TikzConfig

For plot configurations (default sizes, paddings, etc.), use from tikzplot import TikzConfig:

• modifyParam(PARAM=value) (for runtime session setting),
• setPermanent(PARAM=value) (for user defined default value). Currently supported parameters are listed with their default values in src/tikzplot/config.py.

More features coming soon...

• bar plots,
• more developed styles,
• improved 3D plots (currently only basic support: plot, errorbar, fill_between, scatter, plot_wireframe, plot_surface),
• ...