def model_experiment(self, experiment):
# initialize model generator
model_generator = ModelGenerator(experiment, use_median=self.median, name="Default Model")
with ProgressWindow(self, 'Modeling') as pbar:
# create models from data
model_generator.model_all(pbar)
self.setExperiment(experiment)
def remodel(self):
# set the modeler options
if self.model_mean_radio.isChecked():
use_median = False
elif self.model_median_radio.isChecked():
use_median = True
# initialize model generator
experiment = self.main_widget.getExperiment()
if experiment is None:
return
model_generator = ModelGenerator(experiment, use_median=use_median, modeler=self._modeler)
model_generator.name = self.model_name_edit.text()
# print(QCoreApplication.hasPendingEvents())
with ProgressWindow(self.main_widget, 'Generating models') as pbar:
# create models from data
model_generator.model_all(pbar)
self.main_widget.selector_widget.updateModelList()
self.main_widget.selector_widget.selectLastModel()
self.main_widget.updateMinMaxValue()
# must happen before 'valuesChanged' to update the color boxes
self.main_widget.selector_widget.tree_model.valuesChanged()
self.main_widget.update()
def _import_file(file_name):
with ProgressWindow(self, progress_text) as pw:
experiment = reader_func(file_name, pw)
self._set_opened_file_name(file_name)
# call the modeler and create a function model
if model:
self.model_experiment(experiment)
else:
self.setExperiment(experiment)
def _save(file_name):
with ProgressWindow(self, "Saving Experiment") as pw:
write_experiment(self.getExperiment(), file_name, pw)
self._set_opened_file_name(file_name)
def _save(file_name):
with ProgressWindow(self, "Saving Screenshot"):
image.save(file_name)