pymvil

A Multi-Variate Interpolation for Limits (PYMVIL)

Helps to interpolate data over a number of dependent and independent variables.
Interpolation method of piecewise linear is available
The algorithm assumes that the filter variable values in coords exist in data and are same

Usage

See https://github.com/vamseeachanta/pymvil/blob/master/src/pymvil/tests/test_mvil_csv_no_monotonic_trend.py

Improvements

#TODO

Further visualizations can be added to verify data results
- Parameter (and detailed) charts can be converted to 3D charts to include the independent variable trends to verify output
Response of independent variable defined as greater than and less than (ge, le) can help create provide more flexibility to module. Currently acceptance trend is determined by assuming the first value of the group (irrespective of greater or lesser than limit) is acceptable.

References

https://www.geeksforgeeks.org/3d-scatter-plot-using-plotly-in-python/

Metadata

Release files for pymvil 0.0.1

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Source distribution for pymvil 0.0.1
File	Size	Uploaded	Provenance	Actions
pymvil-0.0.1.tar.gz	9.6 kB	Oct 28, 2022	Without provenance	Details for pymvil-0.0.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for pymvil 0.0.1
File	Interpreter	ABI	Platform	Actions Reset
pymvil-0.0.1-py3-none-any.whl 13.4 kB Oct 28, 2022 Without provenance	Python 3	none	any	Details for pymvil-0.0.1-py3-none-any.whl

Total release size: 23.0 kB

Release files / pymvil-0.0.1.tar.gz

Download URL	pymvil-0.0.1.tar.gz
Size	9.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`aec3d4f66cfd78766bf195dae7b0ec0aaed79800cad052651c2410e621b9b582`
BLAKE2b-256 checksum How to use checksums	`e6ae4ec61b627cc32d1674fbbbefc0ce14a120e36a24b722d60a3da0d9994ab1`
Upload date	Oct 28, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.9.12`

Release files / pymvil-0.0.1-py3-none-any.whl

Download URL	pymvil-0.0.1-py3-none-any.whl
Size	13.4 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`2ddedebf5fab52e92604f2f17a08561809580c98120b58788c70fa34847b8c44`
BLAKE2b-256 checksum How to use checksums	`3d12ffa6c2a6578783c68a76e780ad8b5042e69deacc12dbce05857cdbc680d7`
Upload date	Oct 28, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.9.12`

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0.0.1 This release

Oct 28, 2022 2 release files No provenance

pymvil 0.0.1