https://github.com/mmaelicke/scipolate

helper for running different scipy 2D interpolations
https://github.com/mmaelicke/scipolate

Last synced: about 2 months ago
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helper for running different scipy 2D interpolations

• Host: GitHub
• URL: https://github.com/mmaelicke/scipolate
• Owner: mmaelicke
• License: gpl-3.0
• Created: 2019-03-12T08:39:20.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-04-08T09:47:27.000Z (over 5 years ago)
• Last Synced: 2024-10-15T18:50:55.504Z (3 months ago)
• Language: Python
• Size: 141 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
SciPolate

=========

Scipolate offers a small helper class that can be used to perform 

2D interpolation tasks using scipy. It is meant to be used as a common 

interface to run and validate the task automated in the same way.

Installation

============

Install Scipolate using pip:

```bash

pip install scipolate

```

Note

====

Scipolate was originally a part of a interpolation web-app used in one of my 

lectures. That means it was used in an API. Hence, the parameters are set in 

one single JSON-like dictionary, which is un-pythonic.

For the same reason, the class does provide an output *Report* including the 

result as a base64 encoded image. Nevertheless, the class can be used outside 

of a web-application context. Mind that performance was not important during 

development. In case you need a fast algorithm, use scipy directly, or 

something like the [interpolation](https://pypi.org/project/interpolation/) 

library.

With the new version the Interpolation itself is outsourced into a class on 

its own. All the image processing and transformation used for the reporting 

tools in my web based applications, a class called `WebInterface` is implemented.

Usage

=====

There are two main interfaces that can be used:

* The *Interpolator* class, which is the core class performing the 

interpolation.

* The *WebInterface* class which is meant to be used in a API, as it takes the

arguments as JSON and returns JSON along with base64 encoded images.

 

 Example

 -------

 

 An Example will follow.