bastools 0.1.1

Personal Python utilities for scientific plotting, formatting and data handling

bastools

Personal Python utilities for scientific plotting, formatting and data handling. Mainly LLM-generated with post-correction.

installation

PyPI:

pip install bastools

Or with uv:

uv add bastools

Or from source:

git clone https://github.com/BastienGrvt/bastools
cd bastools
uv sync

Minimal example

import bastools as bst

# Grid of subplots, last row auto-centered
fig, axs = bst.subplots_grid(2, 3, n_plots=5, plot_size=(5, 4))

# Format a measurement with its uncertainty
label = bst.sci_notation(1.234e-3, 5.6e-5, n=2)

axs[0].set_title(label)
fig.savefig("figure.png", dpi=300, bbox_inches="tight")

Available tools

Plots (bastools.plots)

• subplots_grid(rows, cols, n_plots, plot_size, grid) - matplotlib subplot grid with automatic centering of incomplete rows
• plot_colormap(...) - plot a family of curves colored by a parameter, with linear or log colorbar

Helpers (bastools.helpers)

• set_not_none(class_parent, **kwargs) - assign keyword arguments to an object, skipping None values
• get_not_none(arg, arg_type) - return the argument if set, else a default of the given type
• sci_notation(mu, sigma, n) - format a value and its uncertainty in scientific notation
• smart_tqdm(iterable, *args, **kwargs) - tqdm wrapper that auto-detects nesting and sets leave accordingly
• wsl_show(fig, file_path) - save a matplotlib figure and open it from WSL
• wsl_open(file_path) - open a file with the Windows default application from WSL

Draw (bastools.draw)

• svg_draw(x_min, x_max, N, unit_size, foo, file_path) - render a 1D function as an SVG path

Requirements

Python >= 3.13 - numpy, scipy, matplotlib, tqdm, rich, svgwrite

License

Apache-2.0 - see LICENSE.