def process(self, post_results):
# create tree with relevant data
source = sort_tree(post_results, self.sort_key)
# create plot
self.fig = Figure()
self.axes = self.fig.add_subplot(111)
self.plot_family(source, self.x_path, self.y_path, "line")
self.set_plot_labeling()
# extract member_names (subtract common appendix like *Controller or *Feedforward)
member_names = [x[:-len(self.x_path[1])] for x in source.keys()]
canvas = FigureCanvas(self.fig)
# write output files
file_name = self.name + "_".join([self.x_path[1], "("]) + "".join(member_names) + ")"
self.write_output_files(file_name, self.fig)
return [{'figure': canvas, 'name': self.name}]
def process(self, post_results):
# create tree with relevant data
source = sort_tree(post_results, self.sort_key)
# create plot
self.fig = Figure()
self.axes = self.fig.add_subplot(111)
self.plot_family(source, self.x_path, self.y_path, "line")
self.set_plot_labeling()
# extract member_names (subtract common appendix like *Controller or *Feedforward)
member_names = [x[: -len(self.x_path[1])] for x in source.keys()]
canvas = FigureCanvas(self.fig)
# write output files
file_name = self.name + "_".join([self.x_path[1], "("]) + "".join(member_names) + ")"
self.write_output_files(file_name, self.fig)
return [{"figure": canvas, "name": self.name}]
def run(self, post_results):
# create tree with relevant data
source = sort_tree(post_results, ['modules', 'controller', 'type'])
# get ideal regime name
file_name = post_results[0]['name']
# extract parameter that has been varied
param = next((param for param in st.paramVariationListB \
if '_' + param + '(' in file_name), \
None)
self._logger.info("assuming that {} has been varied".format(param))
# create plot
figs = [Figure(), Figure()]
# plot for L1NormAbs
axes = [figs[0].add_subplot(111), figs[1].add_subplot(111)]
self.plotVariousController(source,
axes[0],
xPath=['modules', 'model', param],
yPath=['metrics', 'L1NormAbs'],
typ='line')
if param == 'M':
xlbl = r'$M \, \lbrack kg\rbrack$'
elif param == 'J':
xlbl = r'$M \, \lbrack kg\rbrack$'
else:
xlbl = ''
self.plotSettings(axes[0],
titel=u'Fehlerintegral',
grid=True,
xlabel=xlbl,
ylabel=r'$E \, \lbrack ms\rbrack$')
self.plotVariousController(source,
axes[1],
xPath=['modules', 'model', param],
yPath=['metrics', 'L1NormITAE'],
typ='line')
self.plotSettings(axes[1],
titel=u'ITAE Fehler',
grid=True,
xlabel=xlbl,
ylabel=r'$E \, \lbrack ms^2\rbrack$')
# extract controller names
controller_names = [x[:-len('Controller')] for x in source.keys()]
canvas = [FigureCanvas(figs[0]), FigureCanvas(figs[1])]
# write output files
file_name = self.name[len('eval_'):] \
+ '_Controller_(' + ''.join(controller_names) + ')'
names = [
'_'.join([file_name, param, 'Abs']),
'_'.join([file_name, param, 'ITAE'])
]
self.writeOutputFiles(names[0], figs[0])
self.writeOutputFiles(names[1], figs[1])
return [
{
'figure': canvas[0],
'name': names[0]
},
{
'figure': canvas[1],
'name': names[1]
},
]
def run(self, post_results):
# create tree with relevant data
source = sort_tree(post_results, ['modules', 'controller', 'type'])
# get ideal regime name
file_name = post_results[0]['name']
# extract parameter that has been varied
param = next((param for param in st.paramVariationListB \
if '_' + param + '(' in file_name), \
None)
self._logger.info("assuming that {} has been varied".format(param))
# create plot
figs = [Figure(), Figure()]
# plot for L1NormAbs
axes = [figs[0].add_subplot(111), figs[1].add_subplot(111)]
self.plotVariousController(source, axes[0],
xPath=['modules', 'model', param],
yPath=['metrics', 'L1NormAbs'],
typ='line')
if param == 'M':
xlbl = r'$M \, \lbrack kg\rbrack$'
elif param == 'J':
xlbl = r'$M \, \lbrack kg\rbrack$'
else:
xlbl = ''
self.plotSettings(axes[0],
titel='Fehlerintegral',
grid=True,
xlabel=xlbl,
ylabel=r'$E \, \lbrack ms\rbrack$')
self.plotVariousController(source, axes[1],
xPath=['modules', 'model', param],
yPath=['metrics', 'L1NormITAE'],
typ='line')
self.plotSettings(axes[1],
titel='ITAE Fehler',
grid=True,
xlabel=xlbl,
ylabel=r'$E \, \lbrack ms^2\rbrack$')
# extract controller names
controller_names = [x[:-len('Controller')] for x in source.keys()]
canvas = [FigureCanvas(figs[0]), FigureCanvas(figs[1])]
# write output files
file_name = self.name[len('eval_'):] \
+ '_Controller_(' + ''.join(controller_names) + ')'
names = ['_'.join([file_name, param, 'Abs']), '_'.join([file_name, param, 'ITAE'])]
self.writeOutputFiles(names[0], figs[0])
self.writeOutputFiles(names[1], figs[1])
return [
{'figure': canvas[0], 'name': names[0]},
{'figure': canvas[1], 'name': names[1]},
]