Procedural Python interface

From version 2.7 onwards Magics provides a procedural Python programming interface. This interface is identical to the Fortran and C interfaces in terms of functionality, with action routine names similar to the Fortran interface.

Converting From FORTRAN to Python

If you wish to copy an existing Fortran Magics program and change it to Python, then here are the things that you will need to change within the body of the program:

Python Interface Example

The following example shows how to use Magics in a Python program.

 

 

import Magics

Magics.init()

Magics.setc("output_format",
"ps")
Magics.setc("output_name",
"using_python01")

Magics.setc("grib_input_type",
"file")
Magics.setc("grib_input_file_name",
"data/z500.grb")
Magics.grib()

 
Magics.setc("map_coastline_colour",
"khaki")
Magics.setc("map_grid_colour",
"grey")

Magics.setc("contour",
"on")
Magics.setc("contour_line_colour",
"sky")
Magics.setc("contour_highlight_colour",
"red")
Magics.setc("contour_label",
"on")
Magics.cont()
Magics.text ()
Magics.coast()

Magics.new_page("super_page")

Magics.setc("subpage_map_projection", "polar_stereographic")
Magics.setr("subpage_lower_left_latitude",
 18.51)
Magics.setr("subpage_lower_left_longitude", -37.27)
Magics.setr("subpage_upper_right_latitude",
 51.28)
Magics.setr("subpage_upper_right_longitude", 65.0)
 
Magics.cont ()
Magics.text ()
Magics.coast()

Magics.finalize()

 

Higher-level Python Interfaces

Additional to the procedural Python interface, Magics also offers since version 2.9 a higher level Python interface called MagMacro. This interface offers a more higher level and object-oriented interface, based on Metview Macro.

Python Interface Example

The following example shows how to use Magics in a Python program.

 

from magmacro import *

#Definition of the output formats
formats = output({'output_formats':['png','ps'],
	'output_name':'using_python02'})

#Setting the coordinates of the geographical area
europe = pmap({
	"subpage_upper_right_longitude": 65.,
	"subpage_map_projection": "polar_stereographic",
	"subpage_map_vertical_longitude": 0.,
	"subpage_lower_left_longitude": -37.27,
	"subpage_lower_left_latitude": 18.51,
	"subpage_upper_right_latitude": 51.28})

coastlines = mcoast({'map_coastline_land_shade' : 'on',
	'map_coastline_land_shade_colour' : 'grey',
	'map_coastline_sea_shade' : 'on',
	'map_coastline_sea_shade_colour' : 'white'})

#Import the z500 data
z500 = pgrib({ "grib_input_file_name" : "data/z500.grb"})

#Define the simple contouring for z500
z500_contour = mcont({
	"contour_level_selection_type": "interval",
	"contour_line_colour": "black",
	"contour_hilo_height": 0.25,
	"contour_line_thickness": 1,
	"contour_highlight_colour": "red",
	"contour_highlight_thickness": 2,
	"contour_interval": 5.})
 
#Do the plot
plot(formats, europe, coastlines, z500, z500_contour)