Plotting profile plots from the MEA example

Warning

The following has not been tested recently and should be considered a work in progress.

The following examples demonstrate the resize, annotation and saving functionalities.

In the following example, we being by preparing a data frame from our flowsheet variables.

# Absorber CO2 Levels
from pandas import DataFrame
import os
tmp = fs.absorb.make_profile(t=0)
tmp = fs.regen.make_profile(t=0)

plot_dict = {'z':fs.absorb.profile_1['z'],
             'y1':fs.absorb.profile_1.y_vap_CO2*101325.0,
             'y2':fs.absorb.profile_1.P_star_CO2}
plot_data_frame = DataFrame(data=plot_dict)

We can then plot the data frame we just made, show it, resize it and save it.

absorber_co2_plot = Plot.profile(plot_data_frame,
                                 x = 'z',
                                 y = ['y1','y2'],
                                 title = 'Absorber CO2 Levels',
                                 xlab = 'Axial distance from top (m)',
                                 ylab = 'Partial Pressure CO2 (Pa)',
                                 legend = ['Bulk vapor','Equilibrium'])

absorber_co2_plot.show()
absorber_co2_plot.save('/home/jovyan/model_contrib/absorber_co2_plot.html')
assert(os.path.isfile('/home/jovyan/model_contrib/absorber_co2_plot.html'))

absorber_co2_plot.resize(height=400,width=600)
absorber_co2_plot.show()
absorber_co2_plot.save('/home/jovyan/model_contrib/absorber_co2_plot_resized.html')
assert(os.path.isfile('/home/jovyan/model_contrib/absorber_co2_plot_resized.html'))

The following demonstrates the annotate functionality by plotting a second plot from the same flowsheet.

from IPython.core.display import display,HTML
stripper_co2_plot = Plot.profile(plot_data_frame,
                                 x = 'z',
                                 y = ['y1','y2'],
                                 title = 'Stripper CO2 Levels',
                                 xlab = 'Axial distance from top (m)',
                                 ylab = 'Partial Pressure CO2 (Pa)',
                                 legend = ['Bulk vapor','Equilibrium'])
stripper_co2_plot.show()
stripper_co2_plot.save('/home/jovyan/model_contrib/stripper_co2_plot.html')
assert(os.path.isfile('/home/jovyan/model_contrib/stripper_co2_plot.html'))

We can then annotate the “Reboiler vapor” point as shown below:

stripper_co2_plot.annotate(rloc,rco2p,'Reboiler vapor')
stripper_co2_plot.show()
stripper_co2_plot.save('/home/jovyan/model_contrib/stripper_co2_plot_annotated.html')