qten-plots 0.2.0

Plotting extension for qten

qten-plots

qten-plots is the plotting extension package for qten.

It provides concrete plotting backends and registers them through the qten.plottings entry-point group so qten objects can expose a uniform .plot(...) API without forcing plotting dependencies into the core package.

What It Adds

This extension currently provides plotting implementations for:

• Lattice.plot("structure")
• Tensor.plot("heatmap")
• Tensor.plot("spectrum")
• Tensor.plot("column_scatter")
• Tensor.plot("bandstructure")
• PointCloud.plot("scatter")

Backends currently included:

• plotly
• matplotlib

Installation

Install the core package first, then install the plotting extension:

pip install qten
pip install qten-plots

If you use uv from the repository workspace:

uv sync --group dev

How It Works

qten defines the Plottable dispatch mechanism in qten.plottings. When .plot(...) is called, qten loads all installed entry points in the qten.plottings group and registers the plotting implementations provided by extension packages like qten-plots.

This keeps the main qten package focused on tensor and geometry logic while allowing plotting support to evolve independently.

Example

import sympy as sy

from qten.geometries import Lattice, PeriodicBoundary

lattice = Lattice(
    basis=sy.ImmutableDenseMatrix([[1, 0], [0, 1]]),
    boundaries=PeriodicBoundary(sy.ImmutableDenseMatrix.diag(4, 4)),
    unit_cell={"r": sy.ImmutableDenseMatrix([0, 0])},
)

fig = lattice.plot("structure", backend="plotly", show=False)
fig.show()

To switch backend:

fig = lattice.plot("structure", backend="matplotlib", show=False)

Notes

• qten-plots depends on qten.
• The extension is loaded dynamically through Python package entry points.
• If qten-plots is not installed, .plot(...) calls will fail with a backend registration error.