How to use the meteomatics.api.query_grid_unpivoted function in meteomatics

lat_N, lon_W, lat_S, lon_E, res_lat, res_lon, username, password)
    except Exception as e:
        print("Failed, the exception is {}".format(e))

    if limits['area request option']:
        print("\ngrid:")
        try:
            df_grid = api.query_grid(startdate_grid, parameter_grid, lat_N, lon_W, lat_S, lon_E, res_lat, res_lon,
                                     username, password)
            print (df_grid.head())
        except Exception as e:
            print("Failed, the exception is {}".format(e))

        print("\nunpivoted grid:")
        try:
            df_grid_unpivoted = api.query_grid_unpivoted(valid_dates_unpiv, parameters_grid_unpiv, lat_N, lon_W, lat_S,
                                                         lon_E, res_lat, res_lon, username, password)
            print (df_grid_unpivoted.head())
        except Exception as e:
            print("Failed, the exception is {}".format(e))

        print("\ngrid timeseries:")
        try:
            df_grid_timeseries = api.query_grid_timeseries(startdate_ts, enddate_ts, interval_ts, parameters_ts, lat_N,
                                                           lon_W, lat_S, lon_E, res_lat, res_lon, username, password)
            print (df_grid_timeseries.head())
        except Exception as e:
            print("Failed, the exception is {}".format(e))

        print("\ngrid as a png:")
        try:
            api.query_grid_png(filename_png, startdate_png, parameter_png, lat_N, lon_W, lat_S, lon_E, res_lat, res_lon,