In [44]:

    

from __future__ import print_function

%matplotlib inline
%load_ext autoreload
%autoreload 2

import matplotlib.pyplot as plt
import matplotlib.patches as patches
import numpy as np
import tables as t
from collections import defaultdict
import os
from cyclopts import tools as tools
from cyclopts import cyclopts_io as cycio
from cyclopts import analysis
from cyclopts.analysis import Context


    

    




The autoreload extension is already loaded. To reload it, use:
  %reload_ext autoreload

In [45]:

    

# configurable input
mod_kind = 'reqr' # rxtr or reqr or rand
frxtr = 0
dirname = 'size_study/base_{kind}_{frxtr}'.format(kind=mod_kind, frxtr=frxtr)
#dirname = 'small_{kind}_{frxtr}'.format(kind=mod_kind, frxtr=frxtr)

if mod_kind == 'rxtr':
    species_module = "cyclopts.structured_species.request"
    species_class = "StructuredRequest"
elif mod_kind == 'reqr':
    species_module = "cyclopts.structured_species.supply"
    species_class = "StructuredSupply"  
elif mod_kind == 'rand':
    species_module = "cyclopts.random_request_species"
    species_class = "RandomRequest"   

xchange = {'reqr': 'Back-End', 'rxtr': 'Front-End'}
base = '~/phd/cyclopts/structured_runs/'
family_module = "cyclopts.exchange_family"
family_class = "ResourceExchange"
fname = 'combined.h5'
#fullpath = os.path.join(os.path.expanduser(base), dirname, suffix)
fullpath = os.path.join(os.path.expanduser(base), dirname)

# context driver object
save = True
ctx = Context(os.path.join(fullpath, fname), 
              family_module, family_class, species_module, species_class,
              save=save, savepath=fullpath)


    

In [46]:

    

title = 'Solution Times for {case} Case {kind} Exchanges'.format(case=case, kind=xchange[mod_kind]) 
ctx.four_pane_scatter('n_arcs', save=save, saveall=save, title=title)
ctx.four_pane_scatter('n_constrs', save=save, saveall=save, title=title)
ctx.four_pane_scatter('pref_flow', save=save, saveall=save, title=title)


    

In [47]:

    

cparam = 'f_fc'
title = 'Fuel Cycle Effects on Solution Times' 
ctx.three_pane_color_scatter('n_arcs', cparam, save=save, title=title)
ctx.three_pane_color_scatter('n_constrs', cparam, save=save, title=title)
ctx.three_pane_color_scatter('pref_flow', cparam, save=save, title=title)


    

    




---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-47-6e9fe081a98f> in <module>()
      1 cparam = 'f_fc'
      2 title = 'Fuel Cycle Effects on Solution Times'
----> 3 ctx.three_pane_color_scatter('n_arcs', cparam, save=save, title=title)
      4 ctx.three_pane_color_scatter('n_constrs', cparam, save=save, title=title)
      5 ctx.three_pane_color_scatter('pref_flow', cparam, save=save, title=title)

AttributeError: 'Context' object has no attribute 'three_pane_color_scatter'

In [ ]:

    

cparam = 'f_loc'
title = 'Location Fidelity Effects on Solution Times'
ctx.three_pane_color_scatter('n_arcs', cparam, save=save, title=title)
ctx.three_pane_color_scatter('n_constrs', cparam, save=save, title=title)
ctx.three_pane_color_scatter('pref_flow', cparam, save=save, title=title)


    

In [ ]:

    

cparam = 'r_l_c'
title = 'Commodity and Location Preference Weight Effects on Solution Times'
ctx.three_pane_color_scatter('n_arcs', cparam, save=save, title=title)
ctx.three_pane_color_scatter('n_constrs', cparam, save=save, title=title)
ctx.three_pane_color_scatter('pref_flow', cparam, save=save, title=title)


    

In [ ]:

    

if mod_kind == 'rxtr' or mod_kind == 'rand':
    cparam = 'r_inv_proc'
    title = 'Constraint RHS Weight Effects on Solution Times'
    ctx.three_pane_color_scatter('n_arcs', cparam, save=save, title=title)
    ctx.three_pane_color_scatter('n_constrs', cparam, save=save, title=title)
    ctx.three_pane_color_scatter('pref_flow', cparam, save=save, title=title)


    

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