def format_numbers_to_be_displayed(value_list):
""" This function formats and beautify the number to be shown on the graph.
"""
new_mark_list = list()
for value in value_list:
if value >= 10:
precision = 1
else:
precision = 2
value_str = formatNumber(str(value), precision)
new_mark_list.append(value_str)
return new_mark_list
def data(self, index, role):
if not index.isValid():
return None
getDecorationBoxes = (role == Qt.DecorationRole
and index.column() == 1)
if role != Qt.DisplayRole and not getDecorationBoxes:
return None
call_tree_node = index.internalPointer().data()
if call_tree_node is None:
return "Invalid"
callpath = call_tree_node.path
if callpath is None:
return "Invalid"
model = self.getSelectedModel(callpath)
if model is None and index.column() != 0:
return None
if getDecorationBoxes:
delta = self.main_widget.max_value - self.main_widget.min_value
if delta == 0:
return None # can't divide by zero
# code commented for single-parameter model
'''
paramValueList = EXTRAP.ParameterValueList()
parameters = self.main_widget.experiment.getParameters()
paramValueList[ parameters[0] ] = self.main_widget.spinBox.value()
formula = model.hypothesis.function
value = formula.evaluate( paramValueList )
'''
# added for two-parameter models here
parameters = self.selector_widget.getParameterValues()
formula = model.hypothesis.function
previous = numpy.seterr(divide='ignore', invalid='ignore')
value = formula.evaluate(parameters)
numpy.seterr(**previous)
# convert value to relative value between 0 and 1
relativeValue = max(0.0,
(value - self.main_widget.min_value) / delta)
return self.main_widget.color_widget.getColor(relativeValue)
if index.column() == 0:
return call_tree_node.name
elif index.column() == 2:
# if len(model.getComments()) > 0:
# return len(model.getComments())
return None
elif index.column() == 3:
experiment = self.main_widget.getExperiment()
formula = model.hypothesis.function
if self.selector_widget.asymptoticCheckBox.isChecked():
parameters = tuple(experiment.parameters)
return formatFormula(formula.to_string(*parameters))
else:
parameters = self.selector_widget.getParameterValues()
previous = numpy.seterr(divide='ignore', invalid='ignore')
res = formatNumber(str(formula.evaluate(parameters)))
numpy.seterr(**previous)
return res
elif index.column() == 4:
return formatNumber(str(model.hypothesis.RSS))
elif index.column() == 5:
return formatNumber(str(model.hypothesis.AR2))
elif index.column() == 6:
return formatNumber(str(model.hypothesis.SMAPE))
elif index.column() == 7:
return formatNumber(str(model.hypothesis.RE))
return None
def update_min_max(self, min_value, max_value):
self.min_label.setText(formatNumber(str(min_value)))
self.max_label.setText(formatNumber(str(max_value)))