It is a Python library for build a very nice spectrum and theory lines of elements. But you can plot an other plots. It is an extension of the matplotlib library
Project description
PlotSpectrumNiceAndEasy
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.
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