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Wind Vectors from Lists Example
# Metview Macro # **************************** LICENSE START *********************************** # # Copyright 2018 ECMWF. This software is distributed under the terms # of the Apache License version 2.0. In applying this license, ECMWF does not # waive the privileges and immunities granted to it by virtue of its status as # an Intergovernmental Organization or submit itself to any jurisdiction. # # ***************************** LICENSE END ************************************ # ------------------------------------------------------------------------------- # Description: Demonstrates how to plot a set of vectors as coloured arrows using # advance mode (colour depends on arrow length). # ------------------------------------------------------------------------------- # set up the coastlines my_coast = mcoast(map_coastline_sea_shade : "ON", map_coastline_land_shade_colour : "CREAM", map_grid : "ON", map_coastline_land_shade : "ON", map_coastline_sea_shade_colour : "WHITE", map_label : "ON", map_coastline_colour : "TAN") # set up the geographical view my_view = geoview(map_area_definition : "CORNERS", map_projection : "CYLINDRICAL", area : [40.00,-20.00,65.00,10.00], coastlines : my_coast) # define the wind vectors using "geo_vectors" plot type my_input = input_visualiser(input_plot_type : "geo_vectors", input_latitude_values : [ 42, 47, 52], input_longitude_values : [ 2, -2,-10], input_x_component_values : [ 50, 0,-30], input_y_component_values : [ 0, 20, 0]) # set up the vectors plot properties my_wind = mwind(legend : "on", wind_advanced_method : "on", wind_advanced_colour_selection_type : "interval", wind_advanced_colour_level_interval : 5.0, wind_arrow_thickness : 2, wind_arrow_legend_text : "M/S") # set up the title my_title = mtext(text_font_size : 0.7, text_lines : ["Plotting vectors using advanced mode", ""], text_justification : "LEFT", text_colour : "CHARCOAL") # define the output plot file setoutput(pdf_output(output_name : 'geowind')) # plot the data onto the map plot(my_view,my_input,my_wind,my_title)
Wind Vectors from Lists Example
# Title: Vectors using Advanced Mode # **************************** LICENSE START *********************************** # # Copyright 2018 ECMWF. This software is distributed under the terms # of the Apache License version 2.0. In applying this license, ECMWF does not # waive the privileges and immunities granted to it by virtue of its status as # an Intergovernmental Organization or submit itself to any jurisdiction. # # ***************************** LICENSE END ************************************ # ------------------------------------------------------------------------------- # Description: Demonstrates how to plot a set of vectors as coloured arrows using # advance mode (colour depends on arrow length). # ------------------------------------------------------------------------------- import metview as mv # set up the coastlines my_coast = mv.mcoast(map_coastline_sea_shade = "ON", map_coastline_land_shade_colour = "CREAM", map_grid = "ON", map_coastline_land_shade = "ON", map_coastline_sea_shade_colour = "WHITE", map_label = "ON", map_coastline_colour = "TAN") # set up the geographical view my_view = mv.geoview(map_area_definition = "CORNERS", map_projection = "CYLINDRICAL", area = [40.00,-20.00,65.00,10.00], coastlines = my_coast) # define the wind vectors using "geo_vectors" plot type my_input = mv.input_visualiser(input_plot_type = "geo_vectors", input_latitude_values = [ 42, 47, 52], input_longitude_values = [ 2, -2,-10], input_x_component_values = [ 50, 0,-30], input_y_component_values = [ 0, 20, 0]) # set up the vectors plot properties my_wind = mv.mwind(legend = "on", wind_advanced_method = "on", wind_advanced_colour_selection_type = "interval", wind_advanced_colour_level_interval = 5.0, wind_arrow_thickness = 2, wind_arrow_legend_text = "M/S") # set up the title my_title = mv.mtext(text_font_size = 0.7, text_lines = ["Plotting vectors using advanced mode", ""], text_justification = "LEFT", text_colour = "CHARCOAL") # define the output plot file mv.setoutput(mv.pdf_output(output_name = 'geowind')) # plot the data onto the map mv.plot(my_view, my_input, my_wind, my_title)