multiple materials

[shimwell]

we could make a streamlit app like this, it could allow multiple materials to be plotted

import streamlit as st
import pandas as pd
import numpy as np
import openmc

area = st.text_area('material')

loc={}
exec(area, globals(), loc)#, {'openmc':openmc})#, {'openmc': openmc, 'openmc.Material': openmc.Material})#, globalsParameter)#, localsParameter)

print(loc)

materials=[]
for key, value in loc.items():
    if isinstance(value,openmc.Material):
        materials.append(value)

print('all materials', materials)

[shimwell]

slightly improved version

import streamlit as st
import pandas as pd
import numpy as np
import openmc

# openmc.Material.plot_xs = []

area = st.text_area('material')

loc={}
exec(area, globals(), loc)#, {'openmc':openmc})#, {'openmc': openmc, 'openmc.Material': openmc.Material})#, globalsParameter)#, localsParameter)

print(loc)

materials=[]
for key, value in loc.items():
    if isinstance(value,openmc.Material):
        materials.append(value)
        # if value.name==None:
            # value.name='None'

print('all materials', materials)

for i, material in enumerate(materials):
    label=f'Cross section to plot for material name={material.name}'
    cross_sections = st.multiselect(label=label, options=[1,2,3,4], key=f'cross_section_dropdown_mat_{i}')
    print(cross_sections)
    if cross_sections:
        energy_grid, data = openmc.plotter._calculate_cexs_elem_mat(this=material, types=cross_sections)
        print(data)
# (material=mat1, cross_sections=[1,2,3])