Metadata-Version: 2.1
Name: data-whiz
Version: 0.0.2
Summary: this package can be used to calculate distance between two points in the curved surface
Home-page: https://github.com/hareeharan03/python-libraries
Author: Hareeharan Elangovan
Author-email: Hareeharan1999@gmail.com
Project-URL: Bug Tracker, https://github.com/hareeharan03/python-libraries/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENCE


# Calculate the distance between points in curved surface

### Download the library

!pip install curved-surface-distance

### Importing the library

from curved_surface_distance import distance

### HSV_distance

- HSV_distance is used to Calculate the distance between the HSV color codes.

- H represents Hue ranges from 0 to 360, S represents Saturation and V represents Value(brightness) both ranges from 0 to 100. 
    syntax  -   distance.HSV_distance([H1,S1,V1],[H2,S2,V2])
    -
    example -   distance.HSV_distance([0,0,0],[360,100,100]) 
    
### distance

- distance is used to find the distance between two points or between two list of points in curved surface.
    
        1. This is to find distance between two list of points 
            
            syntax  -   distance.distance([p11,p12,p13],[p21,p22,p23])
            
            example -   distance.distance([0,0,0],[360,360,360])

        2. This is to find distance between two points in the curved surface. 
            
            syntax  -   distance.distance(p1,p2)
            
            example -   distance.distance(0,500)



## License

[MIT](https://choosealicense.com/licenses/mit/)
