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PlotSpectrumNiceAndEasy

PyPI Python 3.8, 3.9, 3.10, 3.11, 3.12 GitHub Pull Requests License Forks

PlotSpectrumNiceAndEasy - this module is a Python library for the N-PLS1 regression with L2-regularization.

Installation

Install the current version with PyPI:

pip install PlotSpectrumNiceAndEasy

Ubuntu:

pip3 install PlotSpectrumNiceAndEasy

Or from Github:

pip install https://github.com/89605502155/PlotSpectrumNiceAndEasy/main.zip

Usage

You can plot a very nice spectrum and theory lines of elements. But you can plot an other plots like this. It is an extension of the matplotlib library.

from PlotSpectrumNiceAndEasy import PlotSpectrumNiceAndEasy

a=[1,2,3,4,5,6,7]
b=[0.02,2,-5,0,9,6,1]
model=PlotSpectrumNiceAndEasy(name_plot="Spectrum",save_name="test_plot",y_name="Intensity",x_name="lambda, nm")
result=model.main(a,b,save=True,Pb=[1,1,0,5,"red"],Hf=[2,2,1,3,"orange"])

Example

You can see an example of the plot in test_plot.png and test_plot.svg files on the repository of this library.

Release files for PlotSpectrumNiceAndEasy 0.0.3

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

Source distribution (sdist)

Source distribution for PlotSpectrumNiceAndEasy 0.0.3
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Release files / PlotSpectrumNiceAndEasy-0.0.3.tar.gz

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