added plotting feature using matplotlib #24
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Co-authored-by: StephenNneji <[email protected]>
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Co-authored-by: StephenNneji <[email protected]>
Co-authored-by: StephenNneji <[email protected]>
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Closes #20
The PR adds the plotting feature to
Python-RAT. This allows the visualisation of the latest fits of the optimization of the data. The Reflectivity and Scattering Length Density fits are plotted usingMatplotlib. These are comparable to theMATLABplots. This can be seen below by the plots generated using the same data inRATandPython-RAT.Task List
Coverage
Additional Information:
MATLABhandles error bars differently. It automatically removes cases where the data values are negative on a log scale. Additional logic is added to the RATPlots class to remove cases where data - error is negative to display it correctly on the log scale.Plotlyandpyqtgraphwere also explored for the plotting feature. ButMatplotlibgenerated good plots and was faster compared to the other libraries in rendering the updated fits onto the plots window.makeSLDProfileXYis always called with a fixed variablenrepeats = 1inMATLAB. This can probably be removed from the function args in a subsequent refactor.MATLAB Plots (generated using
RAT)Matplotlib Plots (generated using
Python-RAT)