Personal Python utilities for scientific plotting, formatting and data handling
Project description
bastools
Personal Python utilities for scientific plotting, formatting and data handling. Mainly LLM-generated with post-correction.
Installation
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 rowsplot_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, skippingNonevaluesget_not_none(arg, arg_type)- return the argument if set, else a default of the given typesci_notation(mu, sigma, n)- format a value and its uncertainty in scientific notationsmart_tqdm(iterable, *args, **kwargs)-tqdmwrapper that auto-detects nesting and setsleaveaccordinglywsl_show(fig, file_path)- save a matplotlib figure and open it from WSLwsl_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.
Project details
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