Skip to main content

n_sphere

Spherical Coordinate system, Rectangular coordinate system and Stereographic Projection in N-sphere (Using Python)

https://pypi.org/project/n-sphere/

  1. Spherical Coordinate (Show Image)

    r = math.sqrt( (x_n)^2 + ((x_n-1)^2) + ... + (x_1)^2 )
    Phi_1 = math.acos( x_1 / math.sqrt((x_n)^2 + (x_n-1)^2 + ... + (x_1)^2 ))
    Phi_2 = math.acos( x_2 / math.sqrt((x_n)^2 + (x_n-1)^2 + ... + (x_2)^2 ))
    ...
    Phi_n-2 = math.acos( x_n-2 / math.sqrt((x_n)^2 + (x_n-1)^2 ))
    Phi_n-1 = math.acos( x_n-1 / math.sqrt((x_n)^2 + (x_n-1)^2 )) (x_n >= 0)
          = 2 * Pi - math.acos( x_n-1 / math.sqrt((x_n)^2 + (x_n-1)^2 )) (x_n < 0) 
    
    • R = radius
    • n - 1 angular coordinates Phi_1, Phi_2, ... , Phi_n-1 in n-dimensional Euclidean Space
    • Phi_1 , Phi_2 , ... , Phi_n-2 range over [0, Pi] radians
    • Phi_n-1 range over [0, 2 * Pi) radians
  2. Rectangular Coordinate (Show Image)

    x_1 = r * math.cos(Phi_1)
    x_2 = r * math.sin(Phi_1) * math.cos(Phi_2)
    x_3 = r * math.sin(Phi_1) * math.sin(Phi_2) * math.cos(Phi_3)
    ...
    x_n-1 = r * math.sin(Phi_1) * ... * math.sin(Phi_n-2) * math.cos(Phi_n-1)
    x_n = r * math.sin(Phi_1) * ... * math.sin(Phi_n-2) * math.sin(Phi_n-1)
    
  3. Stereographic Projection (incomplete)

    • In 3-dimension
    [x,y,z] -> [x/1-z, y/1-z]
    
    • In N-dimension
    [x_1 , x_2 , ... , x_n] -> [ x_1 / 1-x_n , x_2 / 1-x_n , ... , x_n-1 / 1-x_n] 
    
  4. Generating random points (Plan)

Project Object

https://en.wikipedia.org/wiki/N-sphere

How to Use

pip install n-sphere
  • Tensor (Using Torch)
> python
Python 3.7.2 (tags/v3.7.2:9a3ffc0492, Dec 23 2018, 23:09:28) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> import n_sphere
>>> x = torch.randint(10, size(5,3,))
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
NameError: name 'size' is not defined
>>> x = torch.randint(10, size=(5,3,))
>>> x
tensor([[1, 0, 4],
        [2, 7, 9],
        [1, 8, 6],
        [4, 9, 3],
        [0, 8, 1]])
>>> c_x = n_sphere.convert_spherical(x)
>>> c_x
tensor([[ 4.1231,  1.3258,  1.5708],
        [11.5758,  1.3972,  0.9098],
        [10.0499,  1.4711,  0.6435],
        [10.2956,  1.1718,  0.3218],
        [ 8.0623,  1.5708,  0.1244]], dtype=torch.float64)
>>> r_x = n_sphere.convert_rectangular(c_x)
>>> r_x
tensor([[1.0000e+00, 2.4493e-16, 4.0000e+00],
        [2.0000e+00, 7.0000e+00, 9.0000e+00],
        [1.0000e+00, 8.0000e+00, 6.0000e+00],
        [4.0000e+00, 9.0000e+00, 3.0000e+00],
        [2.6347e-06, 8.0000e+00, 1.0000e+00]], dtype=torch.float64)
  • List
>>> list = [
... [2,3,4,5,6],
... [4,1,3,6,7],
... [2,2,2,2,2],
... [4,9,1,2,8]]
>>> c_list = n_sphere.convert_spherical(list)
>>> c_list
array([[ 9.48683298,  1.358384  ,  1.241372  ,  1.097478  ,  0.87605805],
       [10.53565375,  1.181364  ,  1.468018  ,  1.256207  ,  0.86217005],
       [ 4.47213595,  1.107149  ,  1.047198  ,  0.955317  ,  0.78539816],
       [12.88409873,  1.255119  ,  0.745355  ,  1.450118  ,  1.32581766]])
>>> r_list = n_sphere.convert_rectangular(c_list)
>>> r_list
array([[2.000001, 3.      , 4.      , 5.      , 6.      ],
       [4.000001, 0.999996, 2.999996, 6.000001, 7.000001],
       [1.999999, 1.999999, 2.      , 2.000001, 2.000001],
       [4.000002, 9.000003, 0.999998, 1.999999, 7.999996]])
>>>
  • Number of digits can be changed in Round Function (default = 6)
>>> list = [
... [2,3,4,5,6],
... [4,1,3,6,7],
... [2,2,2,2,2],
... [4,9,1,2,8]]
>>> c_list = n_sphere.convert_spherical(list,10)
>>> c_list
array([[ 9.48683298,  1.35838411,  1.24137205,  1.097478  ,  0.87605805],
       [10.53565375,  1.18136412,  1.46801764,  1.25620658,  0.86217005],
       [ 4.47213595,  1.10714872,  1.04719755,  0.95531662,  0.78539816],
       [12.88409873,  1.2551192 ,  0.74535537,  1.45011777,  1.32581766]])
>>> r_list = n_sphere.convert_rectangular(c_list,10)
>>> r_list
array([[2., 3., 4., 5., 6.],
       [4., 1., 3., 6., 7.],
       [2., 2., 2., 2., 2.],
       [4., 9., 1., 2., 8.]])
>>>

Contact Us

yunseong14@naver.com

Reference

Metadata

Release files for n-sphere 1.2.0

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

Built distribution (wheel)

Table of built distributions (wheels) for n-sphere 1.2.0
File Interpreter ABI Platform
n_sphere-1.2.0-py3-none-any.whl Python 3 none any Details

Release files / n_sphere-1.2.0-py3-none-any.whl

Download URL n_sphere-1.2.0-py3-none-any.whl
Size 5.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
9c2ad1514c13d47f75230d481659851e443d4e44fb073ef9b33f8303a6df548f
BLAKE2b-256 checksum
How to use checksums
6f7aa9f3efeb4a56636f6ec9c891526e371af24dd69533b235e58036ce0dacd3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/3.7.2

Security for n-sphere 1.2.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

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