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Confined water
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Quasi-one-dimensional ice is a stack of prism blocks (``Frame.find_prisms``).
Quasi-two-dimensional ice is a sheet of primitive rings (``Frame.monolayer_rings``) plus an in-plane radial distribution (``Frame.rdf_2d``).
The ``seams`` CLI does not grow a command for the prisms or the sheet.
``seams rdf`` is the three-dimensional partial RDF, not the in-plane histogram.

The 2020 nanotube and monolayer dumps are figshare project 73545.
They are not in this repository, and this page does not invent their counts.

The in-tree confined frame is ``input/traj/exampleTraj.lammpstrj``.
The runnable copy is ``docs/tutorials/test_confined.py``.
Install Python with ``pip install pydseamslib``.

.. code:: python

    import pydseams as ds

    frame = ds.read("input/traj/exampleTraj.lammpstrj", atom_type=2)
    r, g = frame.rdf_2d("output", cutoff=6.0, binwidth=0.5)
    frame.monolayer_rings("output", sheet_area=1.0, max_depth=6)
    frame.find_prisms(output_dir="output", max_depth=4)

``sheet_area`` is the area the coverage fraction divides by.
Use the area of the sheet you loaded.
The ring counts themselves do not use it.