Skip to main content

Coordinate System

coordinate_system is a mathematical library for computable coordinate systems, quaternionic frames, and object-level spatial calculus in Python.

Version 13.1.1 improves the public API documentation and ships runnable examples for the CCS frame workflow. The package root is deliberately mathematical: it exposes coordinate objects, frame-field calculus, curvature operators, spectral geometry, complex-frame algebra, and curve/surface construction tools.

Core Idea

A computable coordinate system is a local spatial measuring object:

C = (o, q, s)  or  C = (o, R, D), with E = R D.
  • o is the affine origin.
  • q or R is the local orientation.
  • s or D is the local scale/ruler structure.

The differential datum of a frame field is the logarithmic or relative local variation of neighboring coordinate objects. The integral operation is the ordered composition that reconstructs global geometry from those local changes.

In the CCS frame paper this is the object-level recovery chain:

C = (o, R, D) -> T = [s1 e1, s2 e2] -> g, h, S -> K, H, k1, k2

Installation

pip install coordinate-system

From source:

git clone https://github.com/panguojun/Coordinate-System.git
cd Coordinate-System
pip install -e .

Source builds require a C++17 compiler and pybind11. Runtime dependency is kept minimal: numpy is required; plotting and SciPy features are optional.

Public Mathematical Layers

Core Coordinate Objects

from coordinate_system import vec3, quat, coord3, ONEC

p = vec3(1.0, 2.0, 3.0)
q = quat(1.0, 0.0, 0.0, 0.0)
scale = vec3(1.0, 1.0, 1.0)
C = coord3(p, q, scale)

Important vec3 methods: dot, cross, len, length, sqrlen, normalized, project, reflect, distance, vec3.lerp, and vec3.angle.

Important quat methods: composition with *, vector rotation with q * v or q.rotate(v), normalized, inverse, to_eulers, to_angle_axis, quat.slerp, quat.nlerp, quat.from_euler, and quat.from_axis_angle.

Important coord3 fields and methods: o/p, ux, uy, uz, s, composition A * B, relative frame A / B, to_world, to_local, inverse, Q, R, VX, VY, VZ, coord3.look_at, coord3.from_forward, coord3.lerp, and coord3.slerp.

CCS Surface Geometry

import math
from coordinate_system import Sphere, compute_ccs_geometry_package

sphere = Sphere(radius=2.0)
pkg = compute_ccs_geometry_package(sphere, math.pi / 4.0, math.pi / 3.0)

print(pkg.K)       # Gaussian curvature
print(pkg.H)       # Mean curvature
print(pkg.g)       # First fundamental form
print(pkg.h)       # Second fundamental form
print(pkg.center_frame)

compute_ccs_geometry_package returns a CCSGeometryPackage with:

  • center_frame: surface-adapted coord3
  • G_u, G_v: finite relative CCS variation objects
  • g: first fundamental form
  • h: second fundamental form
  • S: shape operator
  • K, H, k1, k2: curvature invariants
  • normal: unit normal as a NumPy array
  • riemann_1212: Riemann component
  • as_dict(): dictionary view

Related curvature functions:

from coordinate_system import (
    compute_gaussian_curvature,
    compute_mean_curvature,
    compute_riemann_curvature,
    compute_all_curvatures,
    compute_intrinsic_gradient,
    compute_connection_matrices,
)

For custom surfaces, subclass Surface and implement position(u, v). For better speed and accuracy, optionally add derivs(u, v) returning (r_u, r_v, r_uu, r_uv, r_vv).

The package keeps the theorem chain explicit:

coord frame -> finite relative variation -> metric/shape data -> curvature invariants

Convenience CCS Wrapper

import math
from coordinate_system import CCS, Sphere

ccs = CCS(step_size=1e-4)
sphere = Sphere(radius=2.0)

print(ccs.gaussian(sphere, math.pi / 4.0, math.pi / 3.0))
print(ccs.mean(sphere, math.pi / 4.0, math.pi / 3.0))

The wrapper methods are geometry_package, gaussian, mean, riemann, connection_matrices, and curvature_tensor.

Custom Surface Example

from coordinate_system import Surface, compute_ccs_geometry_package, vec3

class Paraboloid(Surface):
    def position(self, u, v):
        return vec3(u, v, 0.25 * (u*u + v*v))

    def derivs(self, u, v):
        return (
            vec3(1, 0, 0.5*u),
            vec3(0, 1, 0.5*v),
            vec3(0, 0, 0.5),
            vec3(0, 0, 0),
            vec3(0, 0, 0.5),
        )

pkg = compute_ccs_geometry_package(Paraboloid(), 0.4, -0.2)
print(pkg.K, pkg.H)

Helicity-Phase Utilities

The package now includes a small mathematical module for CFLH-style validation:

from coordinate_system.helicity_phase import (
    cumulative_pose_exposure,
    integrate_helicity_phase,
    integrate_compact_branch,
)

These helpers are generic. They turn a monotone CCS frame exposure into a phase trajectory, branch labels, and compact finite-capacity closure diagnostics.

Curve and Surface Construction

import math
from coordinate_system import AnalyticSphere, interpolate_surface_coords

surface = AnalyticSphere(radius=1.0)
frames = interpolate_surface_coords(
    surface,
    [(math.pi / 3.0, 0.0), (math.pi / 3.0, math.pi / 2.0)],
    samples=16,
)

points = [item.frame.o for item in frames]

NURBS entry points include NURBSCurve, NURBSCurve2D, NURBSSurface, make_nurbs_curve, make_nurbs_surface, sample_nurbs_frame_curve, nurbs_arc_length, nurbs_curvature_profile, and NURBS intersection helpers.

CoordScript entry points include parse_coordscript, eval_coordscript, and eval_coordscript_file.

These APIs are mathematical construction tools. Downstream CAD, rendering, or simulation systems can consume the resulting coord frames, but those application layers are not part of the package root.

Spectral and Complex Frames

from coordinate_system import ComplexFrame, GaugeConnection, FourierFrame

U = ComplexFrame()
A = GaugeConnection()

The complex-frame layer is kept as a mathematical utility for unitary frames, connections, field-strength-like algebra, and spectral constructions. It should not be read as a validated physical model by itself.

API Boundary in 13.0.0

Removed from the public package root:

  • CFUT wrapper APIs
  • Lambda wrapper APIs
  • topological physics application functions
  • research registry helpers
  • report-generation scripts
  • dark-matter, dynamic-stall, and validation application examples

Kept in the mathematical package root:

  • vec3, vec2, quat, coord3
  • CCS, Surface, Sphere, Torus
  • metric, intrinsic-gradient, curvature, and CCS geometry package APIs
  • spectral geometry utilities
  • complex-frame algebra utilities
  • curve interpolation, curve intersection, and analytic surface coord tools
  • NURBS and CoordScript helpers

Development Smoke Test

python -c "import coordinate_system as cs; print(cs.__version__, cs.Sphere(2).theoretical_gaussian_curvature)"
python -m unittest discover -s test

License

MIT License. Copyright (c) 2024-2026 Pan Guojun.

DOI: https://doi.org/10.5281/zenodo.14435613

Metadata

Release files for coordinate-system 13.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for coordinate-system 13.1.1
File Size Uploaded
coordinate_system-13.1.1.tar.gz 446.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for coordinate-system 13.1.1
File Interpreter ABI Platform
coordinate_system-13.1.1-cp313-cp313-win_amd64.whl CPython 3.13 CPython 3.13 Windows x86-64 Details

Total release size: 681.2 kB

Release files / coordinate_system-13.1.1.tar.gz

Download URL coordinate_system-13.1.1.tar.gz
Size 446.6 kB
Tags Source
SHA-256 checksum
How to use checksums
e21bf0ceabacb3be073483cd5cf081442589001e46414486cb2a7294b57b2e9e
BLAKE2b-256 checksum
How to use checksums
5edbb3b43e1eb59ca44601b8f23eb50515c629599da50ab1b34e59f73413eff9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.13.12

Release files / coordinate_system-13.1.1-cp313-cp313-win_amd64.whl

Download URL coordinate_system-13.1.1-cp313-cp313-win_amd64.whl
Size 234.6 kB
Tags CPython 3.13 Windows x86-64
SHA-256 checksum
How to use checksums
4a055245dcfbea54cd99caee12459c2329f22f08f320ee0fdca8c76f4f045235
BLAKE2b-256 checksum
How to use checksums
6a1a4a7e2d304e79701df92f2993075e3d75f815cbd290b4dbb841b8dfc1e41b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.13.12

Release history Release notifications | RSS feed

14.0.0

2 release files

13.2.0

2 release files

This release

13.1.1 This release

2 release files

13.0.1

2 release files

13.0.0

2 release files

12.1.0

2 release files

12.0.0

2 release files

11.2.0

2 release files

11.1.0

2 release files

11.0.0

2 release files

10.2.0

2 release files

10.1.0

2 release files

10.0.0

2 release files

9.0.0

2 release files

8.2.0

2 release files

8.1.1

2 release files

8.1.0

2 release files

8.0.0

2 release files

7.1.2

2 release files

7.1.1

2 release files

7.1.0

2 release files

7.0.2

2 release files

7.0.1

2 release files

7.0.0

2 release files

6.0.5

2 release files

6.0.4

2 release files

6.0.3

2 release files

6.0.1

2 release files

6.0.0

2 release files

5.2.2

2 release files

5.2.1

2 release files

5.2.0

2 release files

4.1.0

2 release files

4.0.3

2 release files

4.0.2

2 release files

4.0.1

2 release files

4.0.0

2 release files

3.0.2

2 release files

3.0.1

2 release files

3.0.0

2 release files

2.5.7

2 release files

2.5.5

2 release files

2.5.4

2 release files

2.5.3

2 release files

2.5.1

2 release files

2.5.0

2 release files

2.4.2

2 release files

2.4.1

2 release files

2.4.0

2 release files

2.3.4

2 release files

2.3.3

2 release files

2.3.2

2 release files

2.3.1

2 release files

2.2.1

2 release files

2.1.3

2 release files

2.1.2

2 release files

2.1.1

2 release files

2.1.0

2 release files

1.1.0

2 release files

1.0.8

2 release files

1.0.7

2 release files

1.0.6

2 release files

1.0.5

2 release files

1.0.4

2 release files

1.0.3

2 release files

1.0.2

2 release files

1.0.1

2 release files

0.2.17

2 release files

0.2.16

2 release files

0.2.15

2 release files

0.2.14

2 release files

0.2.13

2 release files

0.2.12

2 release files

0.2.11

2 release files

0.2.10

2 release files

0.2.9

2 release files

0.2.8

2 release files

0.2.7

2 release files

0.2.6

2 release files

0.2.5

2 release files

0.2.4

2 release files

0.2.3

2 release files

0.2.2

2 release files

0.2.1

2 release files

0.2.0

2 release files

0.1.9

2 release files

0.1.8

2 release files

0.1.6

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page