Contouring

  mcont ( macro/python ) pcont ( fortran )

Contouring is achieved by calling the action routine pcont, i.e. call pcont . The call may be preceded by one or more calls to Magics parameter setting routines. pcont will only take into account those parameters set before the routine is called. Any calls to Magics parameter setting routines after pcont is called are only relevant to future action routines.

When the action routine pcont is called, it will plot contours based on the input data supplied and according to the user's instructions. The input data may have different organizations: GRIB code data, regular latitude/longitude grid, gaussian grid. Before pcont is called, the user must define how he wants the data to be contoured, i.e. location of the data, dimensions of the array, input field organization etc. This is done by calling Magics parameter setting routines. Data may be passed in an array, in GRIB or NetCDF format

From Magics 2.0.1, Magics offers the ability of using a large variety of predefined palettes .

Have a look at the already defined palettes and do not hesitate to send us your favourites ones, we will integrate them .

#Defining the contour
contour = mcont(
    contour = 'off',
    contour_hilo = 'off',
    contour_interval = 2.0,
    contour_label = 'off',
    contour_level_selection_type = 'interval',
    contour_shade = 'on',
    contour_shade_palette_name = 'eccharts_rainbow_purple_red_25',
    contour_shade_colour_method = 'palette',
    contour_shade_max_level = 22.0,
    contour_shade_method = 'area_fill',
    contour_shade_min_level = -28.0,
    legend = 'on'
)

Import data:

• Input Data
• Grib Input
• NetCDF input

Jupyter notebooks:

• Contour notebooks

Gallery:

• Contour examples