# Metview Example
# **************************** 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 show a disjoint legend with labels
# for each level value.
# ------------------------------------------------------------------
import metview as mv
# read the input grib file (temperature)
my_data = mv.read("./t850.grb")
# set up the geographical view
my_view = mv.geoview(map_area_definition = "CORNERS",
map_projection = "POLAR_STEREOGRAPHIC",
area = [21.51,-37.27,51.28,65.00])
# set up a shade contour with legend for the field
my_contour = mv.mcont(contour_level_selection_type = "LEVEL_LIST",
contour_level_list = [-48.0,-10.0,0.0,10.0,20.0,48.0],
contour_hilo = "OFF",
contour_label = "OFF",
contour = "OFF",
legend = "ON",
contour_shade = "ON",
contour_shade_colour_method = "LIST",
contour_shade_method = "AREA_FILL",
contour_shade_max_level = 48.00,
contour_shade_min_level = -48.00,
contour_shade_colour_list = ["blue_purple"," greenish_blue"," blue_green"," yellow_green"," yellow"," orange"])
# set up an disjoint legend for the field
my_legend = mv.mlegend(legend_display_type = "DISJOINT",
legend_text_composition = "USER_TEXT_ONLY",
legend_title = "ON",
legend_user_lines = ["extremely cold"," very cold"," cold"," temperate"," hot"],
legend_text_font_size = 0.4,
legend_text_colour = "BLACK",
legend_entry_text_width = 80.00,
legend_title_text = "Temperature at 850 hPa")
# set up the coastlines
my_coast = mv.mcoast(map_coastline_resolution = "HIGH")
# set up the title
my_title = mv.mtext(text_font_size = 0.6,
text_lines = ["Disjoint legend with user defined labels"," "],
text_justification = "LEFT",
text_colour = "CHARCOAL")
# define the output plot file
mv.setoutput(mv.pdf_output(output_name = 'legend2')) |