helper for running different scipy 2D interpolations
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.
Install Scipolate using pip:
`bash pip install scipolate `
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 and I am planning to create another interface class that takes arguments in a used, pythonic way.
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.
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