def __init__(self, main_app_frame, model_file_path, group_data, group,
options):
self.loaded_data = load_object_from_file(model_file_path)
self.stats_data = group_data[group]['stats_data']
try:
if self.is_valid:
y_variable = self.loaded_data['y_variable']
x_variables = self.loaded_data['x_variables']
stats_data = group_data[group]['stats_data']
MultiVarResultsFrame.__init__(self,
main_app_frame,
y_variable,
x_variables,
group_data,
group,
options,
auto_update_plot=False)
X, y = stats_data.get_X_and_y(y_variable, x_variables)
reg = MultiVariableRegression(
X, y, saved_reg=self.loaded_data['regression'])
self.plot.update_plot(y_variable,
x_variables,
self.stats_data,
reg=reg)
self.Show()
else:
if self.stats_data is None:
msg = 'No data has been queried for Group %s.' % group
elif not self.is_mvr:
msg = 'Selected file is not a valid multi-variable regression save file.'
elif not self.stats_data_has_y:
msg = "The model's dependent variable is not found in your queried data:\n%s" % self.y_variable
elif self.missing_x_variables:
msg = 'Your queried data is missing the following independent variables:\n%s' % \
', '.join(self.missing_x_variables)
else:
msg = 'Unknown error.'
wx.MessageBox(msg, 'Model Loading Error',
wx.OK | wx.OK_DEFAULT | wx.ICON_WARNING)
except Exception as e:
msg = str(e)
wx.MessageBox(msg, 'Model Loading Error',
wx.OK | wx.OK_DEFAULT | wx.ICON_WARNING)
def load_data_obj(self, abs_file_path):
self.save_data = load_object_from_file(abs_file_path)
self.group_data = self.save_data['group_data']
# .load_save_data loses column widths?
self.radio_button_query_group.SetSelection(0)
self.data_table_categorical.load_save_data(self.save_data['main_categorical_1'])
self.data_table_numerical.load_save_data(self.save_data['main_numerical_1'])
self.control_chart.load_save_data(self.save_data['control_chart'])
self.radio_button_query_group.SetSelection(0)
self.exec_query(load_saved_dvh_data=True, group=1)
if 'main_categorical_2' in self.save_data.keys():
self.radio_button_query_group.SetSelection(1)
self.on_group_select()
self.data_table_categorical.load_save_data(self.save_data['main_categorical_2'])
self.data_table_numerical.load_save_data(self.save_data['main_numerical_2'])
self.update_all_query_buttons()
self.exec_query(load_saved_dvh_data=True, group=2)
self.update_all_query_buttons()
self.endpoint.load_save_data(self.save_data['endpoint'])
if self.endpoint.has_data:
self.endpoint.enable_buttons()
self.radbio.load_save_data(self.save_data['radbio'])
self.endpoint.update_endpoints_in_dvh()
self.group_data[1]['stats_data'].update_endpoints_and_radbio()
if self.group_data[2]['stats_data']:
self.group_data[2]['stats_data'].update_endpoints_and_radbio()
self.time_series.load_save_data(self.save_data['time_series'])
self.time_series.update_plot()
self.regression.update_combo_box_choices()
self.regression.load_save_data(self.save_data['regression'])
self.control_chart.update_combo_box_y_choices()