'--settingsFile',
help='Relative path to the file with postprocessing settings',
default='postprocess.json')
parser.add_argument('--counter',
'-c',
help='Countercurrent flow',
action='store_true')
fig_options = FigureOptions(parser)
args = parser.parse_args()
doSetup = args.setup
doPostProcess = args.postProcess
doPlot = args.plot
fileName = args.paramFile
settings_file = args.settingsFile
cocurrent = not args.counter
param_study = ParameterStudyFactory().makeParameterStudy(fileName)
if doSetup:
param_study.setup()
else:
post_processor = make_param_study_post_processor(param_study)
if doPostProcess:
post_processor.run()
writer = ParameterStudyPostProcessorWriter(post_processor)
writer.write_results()
elif doPlot:
fig_options.parseOptions(args)
plotter = make_param_study_plotter(post_processor, fig_options)
plotter.plot_all()
nargs='+',
help='Models for which to plot results',
default=['krogh', 'simple'])
fig_options = FigureOptions(parser)
args = parser.parse_args()
file_name = args.paramFile
method_name = args.methodName
model_names = args.modelNames
fig_options.parseOptions(args)
fig, axs = plt.subplots(2, 2, sharey=True)
flattened_axs = [ax for sublist in axs for ax in sublist]
for study, ax, text in zip(studies, flattened_axs, annotations):
path_to_study = os.path.join(path_to_parameter_studies, study)
path_to_study_param_file = os.path.join(path_to_study, file_name)
param_study = ParameterStudyFactory().makeParameterStudy(
path_to_study_param_file)
settings_dict = load_settings_file(path_to_study)
postprocessor = ParameterStudyPostProcessor(param_study, settings_dict)
plotter = DiffusiveInteractionParameterStudyPlotter(
postprocessor, fig_options, model_names)
plt.sca(ax)
getattr(plotter, method_name)()
annotate_axis_corner(ax, text)
axs[0, 1].set_ylabel('')
axs[1, 1].set_ylabel('')
fig_options.saveFig('plotDiffusiveInteractionMulti_{:s}'.format(method_name))
import argparse
from HbO2.COSH.plotCOSH import LDvRBCCOSHParamStudyPlotter
from HbO2.plot.styles import set_COSH_rc_params
from HbO2.postprocess.factory.parameterstudy import make_param_study_post_processor
from HbO2.setup.parameterStudy import ParameterStudyFactory
from plot.figureoptions import FigureOptions
set_COSH_rc_params()
parser = argparse.ArgumentParser()
parser.add_argument('--paramFile', help='Path to parameter study file', default='params.json')
parser.add_argument('--manual-labels', action='store_true',
help='Whether to set manually the contour labels')
fig_options = FigureOptions(parser)
args = parser.parse_args()
manual_labels = args.manual_labels
file_name = args.paramFile
fig_options.parseOptions(args)
param_study = ParameterStudyFactory().makeParameterStudy(file_name)
postprocessor = make_param_study_post_processor(param_study)
plotter = LDvRBCCOSHParamStudyPlotter(postprocessor, fig_options)
if fig_options.blackWhite:
plotter.cmap = None
else:
plotter.colors = None
plotter.plotMultiPanelKOSContourAndOscillationDistance(manual_labels)