Simple shading

Simple shading

This is a single cell notebook to demonstrate temperature plotting using Magics' area_fill contour shade method and letting Magics calculate colours between blue and red.

Installing Magics

If you don't have Magics installed, run the next cell to install Magics using conda.

# Install Magics in the current Jupyter kernel
import sys
!conda install --yes --prefix {sys.prefix} Magics
import Magics.macro as magics

#Setting the geographical area
projection = magics.mmap(
    subpage_map_library_area = "on",
    subpage_map_area_name    = "south_west_europe",
    page_id_line             = "off"
)

#Setting the coastline
coast = magics.mcoast()

#Loading GRIB file
temperature = magics.mgrib(grib_input_file_name = "../../data/t850.grib")

#Defining the contour
contour = magics.mcont( 
    contour                        = "off",
    contour_level_selection_type   = "interval",
    contour_interval               = 2.00,
    contour_shade                  = "on",
    contour_shade_method           = "area_fill",
    contour_shade_min_level        = -28,
    contour_shade_max_level        = 24,
    contour_shade_colour_method    = "calculate",
    contour_shade_colour_direction = "clockwise",
    contour_highlight              = "off",
    contour_label                  = "off",
    contour_shade_max_level_colour = "red",
    contour_shade_min_level_colour = "blue",
    legend = "on"
)

#Defining the legend
legend = magics.mlegend(
    legend_display_type       = "continuous",
    legend_automatic_position = "right",
    legend_title              = "on",
    legend_title_text         = "Temperature at 850 hPa",
    legend_text_font_size     = "0.45",
    legend_text_colour        = "#2b619e",
    legend_label_frequency    = 1)

#Setting the title
title = magics.mtext( 
    text_lines          = ["Very simple shading example",
                           "<grib_info key='name'/> at <grib_info key='level'/> hPa  -  STEP <grib_info key='step'/>",
                           "START TIME: <grib_info key='base-date' format='%d %B %Y %H'/>   VALID TIME: <grib_info key='valid-date' format='%d %B %Y %H'/>"],
    text_justification  = 'center',
    text_font_size      = 0.6,
    text_mode           = "automatic",
    text_colour         = "#2b619e") 

#Plotting
magics.plot(projection, temperature, contour, coast, legend, title)

Note that these examples are only skeletons to illustrate the functionality of Magics.


You can download this Jupyter notebook and temperature data from ECMWF github space.









More about projections in projection examples.




More about coastline plotting in  coastline examples.

















More about legend plotting in legend tutorial.





More about text plotting in text plotting tutorial.



Plotting in directly in Jupyter notebooks doesn't need output to be specified. Most of the time you will want an output.

To run this outside of Jupyter notebooks add this piece of code:
png = magics.output(
    output_formats = ['png'],
    output_name_first_page_number = "off",
    output_name = "simple_shading")
magics.plot(png, projection, temperature, contour, coast, legend, title)