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Section

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width	250px

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width	60%

Panel

Objectives

Set-up a cylindrical projection over the United States.
Apply land-shading on the coastlines.
Load a grib file containing Mean-Sea level Presssure and visualise it using black isolines.
Load a grib file containing Precipitation and visualise it using shading technique.
Add a legend.
Add a text.
Draw the position of New-York City
Draw a line to materialise the Xsection we are going to visualise in a next tutorial

You will need to download

...

Section

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width	50%

Info

title	Parameters to check

subpage_lower_left_longitude

subpage_lower_left_latitude

subpage_upper_right_longitude

subpage_upper_right_latitude

Code Block

theme	Confluence
language	python
title	Python - Setting a projection
collapse	true

from Magics.macro import *
#setting the output 
output = output(    
                output_formats = ['png'],
                output_name = "map_step1",
                output_name_first_page_number = "off"
        )
#settings of the geographical area 
area = mmap(subpage_map_projection="cylindrical",
        subpage_lower_left_longitude=-110.,
        subpage_lower_left_latitude=20.,
        subpage_upper_right_longitude=-30.,
        subpage_upper_right_latitude=70.,
    )    
#Using a default coastlines to see the result
plot(output, area, mcoast())

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width	200px

...

Section

Column

width	50%

Info

title	Parameters to check

map_coastline_land_shade

map_coastline_land_shade_colour

map_coastline_colour

map_grid_colour

map_grid_line_style

Code Block

theme	Confluence
language	python
title	Python - Coastlines
collapse	true

from Magics.macro import *
#setting the output 
output = output(    
                output_formats = ['png'],
                output_name = "map_step2",
                output_name_first_page_number = "off"
        )
#settings of the geographical area 
area = mmap(subpage_map_projection="cylindrical",
        subpage_lower_left_longitude=-110.,
        subpage_lower_left_latitude=20.,
        subpage_upper_right_longitude=-30.,
        subpage_upper_right_latitude=70.,
    )     
 #settings of the caostlines
coast = mcoast(map_coastline_land_shade = "on",
      map_coastline_land_shade_colour = "cream",
      map_grid_line_style = "dash",
      map_grid_colour = "grey",
      map_label = "on",
      map_coastline_colour = "grey")
plot(output, area, coast)

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width	200px

...

Section

Column

width	50%

Info

title	Parameters to check

mgrib action to load the data
grib_input_file_name

mcont action to define a contouring
contour_line_colour
contour_line_thickness
contour_highlight_colour
contour_highlight_thickness
contour_hilo
contour_level_selection_type
contour_interval
legend
contour_legend_text

Code Block

theme	Confluence
language	python
title	Python - CoastlinesMsl Visualisation
collapse	true

from Magics.macro import *
#setting the output 
output = output(    
                output_formats = ['png'],
                output_name = "map_step3",
                output_name_first_page_number = "off"
        )
#settings of the geographical area 
area = mmap(subpage_map_projection="cylindrical",
        subpage_lower_left_longitude=-110.,
        subpage_lower_left_latitude=20.,
        subpage_upper_right_longitude=-30.,
        subpage_upper_right_latitude=70.,
    )     
 #settings of the caostlines
coast = mcoast(map_coastline_land_shade = "on",
      map_coastline_land_shade_colour = "cream",
      map_grid_line_style = "dash",
      map_grid_colour = "grey",
      map_label = "on",
      map_coastline_colour = "grey")
#Loading the msl Grib data
msl = mgrib(grib_input_file_name="msl.grib")
#Defining the controur
contour = mcont(contour_highlight_colour= "black",
                contour_highlight_thickness= 4,
                contour_hilo= "off",
                contour_interval= 5.,
                contour_label= "on",
                contour_label_frequency= 2,
                contour_label_height= 0.4,
                contour_level_selection_type= "interval",
                contour_line_colour= "black",
                contour_line_thickness= 2, 
                legend='on',
                contour_legend_text= "Mean Sea Level Pressure",
            )
plot(output, area, coast, msl, contour)

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width	200px

...

The goal of this exercise is to discover a bit more the diverse styles of visualisation offered by the mcont object.

Here we will work with shading, and we will use a different technique to setup the levels we want to contour.

Section

Title

Column

width	50%

Info

title	Parameters to check

mgrib action to load the data
grib_input_file_name
grib_automatic_scaling
grib_scaling_factor

mcont action to define a contouring
contour_line_colour
contour_line_thickness
contour_highlight_colour
contour_highlight_thickness
contour_hilo
contour_level_selection_type
contour_interval
legend
contour_legend_text

Code Block

theme	Confluence
language	python
title	Python -

Use of Shading
collapse	true

from Magics.macro import *

#settings of

#setting the

png

 output 
output = output(

    
                output_formats = ['png'],

                output_name = "

coast

map_step3",

            output_name_first_page_number = "off"
        )

##settings

#settings of the

coastlines

geographical

attributes

area

coast

area =

mcoast(

mmap(subpage_map_projection="cylindrical",
        subpage_lower_left_longitude=-110.,
        subpage_lower_left_latitude=20.,
        subpage_upper_right_longitude=-30.,
        subpage_upper_right_latitude=70.,
    )     
 #settings of the caostlines
coast = mcoast(map_coastline_land_shade = "on",
      map_coastline_land_shade_colour = "cream",
      map_grid_line_style = "dash",
      map_grid_colour = "

brown

grey",
      map_label

_colour

= "

brown

on",

      map_coastline_colour = "

brown

grey"

##settings of the text (notice the Html formatting) title = mtext( text_lines = ["Hello World!", " <b>This is my first plot</b> !"], text_font_size = "0.7", text_colour = "charcoal" ) #The plot command will now use the coast and title objects plot(output, coast, title

#Loading the msl Grib data
msl = mgrib(grib_input_file_name="msl.grib")
#Defining the controur
contour = mcont(contour_highlight_colour= "black",
                contour_highlight_thickness= 4,
                contour_hilo= "off",
                contour_interval= 5.,
                contour_label= "on",
                contour_label_frequency= 2,
                contour_label_height= 0.4,
                contour_level_selection_type= "interval",
                contour_line_colour= "black",
                contour_line_thickness= 2, 
                legend='on',
                contour_legend_text= "Mean Sea Level Pressure",
            )
plot(output, area, coast, msl, contour)

Column

width	200px

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