Example #1
0
 def handle_norm_mean_action(self):
     if len(self.dataset_data.index) == 0:
         information_dialod(NO_DATASET_MESSAGE)
     else:
         norm_data = Norm(self.dataset_data)
         norm_data.mean_normilization()
         self.dataset_data = norm_data.get_normilized_data()
         information_dialod(NORMILIZED_BY_MESSAGE.format("mean method"))
Example #2
0
 def handle_norm_by_mean_action(self):
     if len(self.dataset_data.index) == 0:
         information_dialod(NO_DATASET_MESSAGE)
     else:
         norm_data = Norm(self.dataset_data)
         norm_data.normilize_by_mean_value()
         self.dataset_data = norm_data.get_normilized_data()
         information_dialod(NORMILIZED_BY_MESSAGE.format("by mean value"))
Example #3
0
 def show_pandas_table(self):
     if len(self.dataset_data.index) == 0:
         information_dialod(NO_DATASET_MESSAGE)
     else:
         pd_table = QTableView()
         model = PandasModel(self.dataset_data)
         pd_table.setModel(model)
         self.central_widget.addWidget(pd_table)
         self.central_widget.setCurrentWidget(pd_table)
Example #4
0
 def handle_lda_plot_action(self):
     if len(self.dataset_data.index) == 0:
         information_dialod(NO_DATASET_MESSAGE)
     else:
         self.plot_window = PlotWindow()
         self.plot_window.draw_lda(self.dataset_data)
         self.dataset_data = self.bak_data
         cur_widget = self.central_widget.currentWidget()
         if cur_widget != self.content_table:
             self.central_widget.removeWidget(cur_widget)
         self.central_widget.addWidget(self.plot_window)
         self.central_widget.setCurrentWidget(self.plot_window)
Example #5
0
 def handle_open_dataset_action(self):
     filename = import_dataset_action()
     column_file = os.path.dirname(filename) + "/column_names.txt"
     print(column_file)
     self.set_dataset_file(filename)
     if not file_is_exists(column_file):
         information_dialod(NOT_SUCCESS_IMPORT_MESSAGE)
     else:
         self.dataset_cols = ColumnImporter(column_file).get_columns()
         dataset_importer = DatasetImporter(self.dataset_file,
                                            self.dataset_cols)
         self.dataset_data = dataset_importer.get_dataset()
         self.bak_data = self.dataset_data
         if info_import_dataset_dialog(SUCCESS_IMPORT_MESSAGE):
             self.show_pandas_table()
Example #6
0
 def download_dataset(self):
     if internet_on() == True:
         index = self.currentRow()
         folder_url = self.uci.uci_folder_urls[index]
         dataset_name = self.uci.uci_dataset_name[index]
         if information_download_dialod(
                 BEFORE_DOWNLOAD_MESSAGE.format(
                     dataset_name)) == QMessageBox.Ok:
             url = os.path.join(BASE_UCI_URL_PART, folder_url)
             dataset_folder = os.path.join(ROOT_PROJECT_PATH, 'datasets',
                                           dataset_name)
             download_data(url, dataset_folder)
             information_dialod(DOWNLOAD_MESSAGE.format(dataset_name))
     else:
         information_dialod(NO_CONN_MESSAGE)
Example #7
0
 def handle_attr_choose_action(self):
     if len(self.dataset_data.index) == 0:
         information_dialod(NO_DATASET_MESSAGE)
     else:
         cols = Chooser(self.dataset_cols[1:], self).get_data()
         self.dataset_data = self.dataset_data[cols]