def display_the_graphic(self, num_line, wavelength, data_wanted, information):
self.nb_case = num_line - <NUM_LIT:1>  <EOL>self.graphic_slider(self.nb_case)<EOL>self.mpl_canvas.update_fields(wavelength, data_wanted, self.slider_value)<EOL>if self.ui.show_grid.checkState() == <NUM_LIT:2>:<EOL><INDENT>grid = True<EOL><DEDENT>else:<EOL><INDENT>grid = False<EOL><DEDENT>if self.ui.show_all_curves.checkState() == <NUM_LIT:2>:<EOL><INDENT>self.flag_curves = True<EOL>self.mpl_canvas.display_graphic(self.flag_curves, self.ui, grid)<EOL>self.print_graphic_information(self.slider_value, information)<EOL><DEDENT>else:<EOL><INDENT>self.flag_curves = False<EOL>self.mpl_canvas.display_graphic(self.flag_curves, self.ui, grid)<EOL>self.print_graphic_information(self.slider_value, information)<EOL><DEDENT>
This function calls the class "MplCanvas" of "gui_matplotlibwidgetFile.py" to plot results.
Inputs : num_line : The number of cases.
         wavelength : The wavelengths.
         data_wanted : The data for wavelengths.
         information : The array which contains the information, of all curves to display.