texplot Documentation#

texplot is a python package to enhance matplotlib plots with publication-quality style.

GitHub

PyPI

Anaconda

API reference

Install#

pypi

Install with pip from PyPI:

pip install texplot

Install with conda from Anaconda Cloud:

conda install s-ameli::texplot

This package requires \(\LaTeX\) to be installed. Ensure that the latex executable is available on your system’s PATH.

Set Theme#

texplot can set theme either globally or locally:

Set Theme Globally#

Call texplot.set_theme() function to set the texplot theme globally in your script:

 >>> import matplotlib.pyplot as plt
 >>> import texplot
 >>> texplot.set_theme()

 >>> # Plot an example function
 >>> fig, ax = plt.subplots()
 >>> texplot.examples.plot_function(ax)
 >>> plt.show()

The theme set as described above will affect your entire Python script for its duration. However, you can revert to the default matplotlib theme at any time by calling the texplot.reset_theme() function as shown below:

 >>> # Resetting to default matplotlib theme
 >>> texplot.reset_theme()

 >>> # Plot another example function
 >>> fig2, ax2 = plt.subplots()
 >>> texplot.examples.plot_function(ax2)
 >>> plt.show()

Set Theme Within a Local Scope#

The texplot.theme() function acts as a context manager, allowing you to apply the texplot theme within a specific local scope or function. The example below demonstrates setting the theme in a local scope. Outside of this scope, the default matplotlib theme remains unchanged.

 >>> import matplotlib.pyplot as plt
 >>> import texplot

 >>> with texplot.theme():
 >>>     fig, ax = plt.subplots()
 >>>     texplot.examples.plot_function(ax)
 >>>     plt.show()

Similarly, you can use the context manager with a function. In the example below, the texplot theme is applied only within the plot() function. Outside this function, the default matplotlib theme remains unchanged.

 >>> import matplotlib.pyplot as plt
 >>> import texplot

 >>> @texplot.theme()
 >>> def plot():
 >>>     fig, ax = plt.subplots()
 >>>     texplot.examples.plot_function(ax)
 >>>     plt.show()

 >>> plot()

Theme Options#

You can customize the theme by passing arguments to either the texplot.set_theme() or texplot.theme() functions. The parameters for both functions are identical and detailed in the API reference. The available arguments are as follows:

Argument	Value	Description
`context`	`'paper'`, `'notebook'` (default), `'talk'`, or `'poster'`	Adjusts font size and scales of the plot depending on the context.
`style`	See matplotlib.style.available	Sets matplotlib style
`font_scale`	float (default is `1`)	Scales the fonts.
`use_latex`	boolean (default is True)	If True, the mathematical symbols are rendered with \(\LaTeX\).
`rc`	dictionary (default is `{}`)	Passes any additional matplotlib’s rcParam dictionary.

In the example below, we configure a dark background style, increase the font size by a factor of 1.2, and set the font family to sans-serif:

 >>> import matplotlib.pyplot as plt
 >>> import texplot

 >>> with texplot.theme(
 ...         rc={'font.family': 'sans-serif'},
 ...         style='dark_background',
 ...         font_scale=1.2):
 >>>
 >>>     # Plot an example diagram
 >>>     fig, ax = plt.subplots()
 >>>     texplot.examples.plot_bifurcation_diagram(ax)
 >>>     plt.show()

Show and Save Plots#

When working on a machine without display graphics, such as a remote server that lacks X11, displaying plots is not possible. Instead, plots should be saved. The texplot.save_plot() function provides a simple wrapper around matplotlib.pyplot.savefig to facilitate this. Additionally, the texplot.show_or_save_plot() function attempts to display plots initially. If no graphical backend is available, it saves the plot instead. Additionally, you can configure it to both show and save the plot. Here is an example:

 >>> import matplotlib.pyplot as plt
 >>> import texplot

 >>> with texplot.theme(rc={'font.family': 'sans-serif'}):
 >>>
 >>>     # Plot an example function
 >>>     fig, ax = plt.subplots()
 >>>     texplot.examples.lorenz(ax)
 >>>
 >>>     # Show and save plot
 >>>     texplot.show_or_save_plot(plt, default_filename='lorenz.pdf',
 ...                               transparent_background=True, dpi=200,
 ...                               show_and_save=True, verbose=True)
 plot saved to '/home/user/lorenz.pdf'.

Test Package#

To test the package, first clone the source code from the repository and install the required test packages by:

git clone https://github.com/ameli/texplot.git
cd texplot
python -m pip install -r tests/requirements.txt
python -m pip install .

Then, test with pytest:

pytest

How to Contribute#

We welcome contributions via GitHub’s pull request. If you do not feel comfortable modifying the code, we also welcome feature requests and bug reports as GitHub issues.