mocca.visualization package
Submodules
mocca.visualization.basic_plots module
Created on Wed Aug 4 18:57:16 2021
@author: haascp
- mocca.visualization.basic_plots.plot_1D_data(df, xlabel='', ylabel='', title='', color=None, reduce_data=True)[source]
Plots a set of 1D data.
- mocca.visualization.basic_plots.plot_1D_layer(df, xlabel='', ylabel='', title='', color=None, reduce_data=True)[source]
Plots a set of 1D data.
mocca.visualization.calibration_plots module
Created on Fri Jan 7 14:15:20 2022
@author: haascp
mocca.visualization.parafac_plots module
Created on Fri Jan 7 18:05:10 2022
@author: haascp
- mocca.visualization.parafac_plots.plot_aligned_tensor(parafac_model)[source]
Plots retention profiles (summed absorbance over all wavelengths) of all slices in the data tensor on the optimized iteration shift.
- mocca.visualization.parafac_plots.plot_impure_peak_spectra(impure_peak)[source]
Generates plot with UV-Vis spectra at every time point in the impure peak.
- mocca.visualization.parafac_plots.plot_normalized_integrals(normalized_integrals)[source]
Plots integrals of all PARAFAC components over all slices of the tensor.
- mocca.visualization.parafac_plots.plot_objective_func(parafac_model)[source]
Plots objective function outcome vs iteration offset when using the iterative PARAFAC approach.
mocca.visualization.results_plot module
Created on Fri Jan 7 15:12:02 2022
@author: haascp
mocca.visualization.utils module
Created on Fri Jan 7 14:11:19 2022
@author: haascp