Guymer

#!/usr/bin/env python3

# NOTE: The four PNGs that are used here are the output from my GitHub
#       repository "hml", see:
#         * https://github.com/Guymer/hml

# Import standard modules ...
import os
import shutil
import subprocess

Guymer

#!/usr/bin/env python3

"""
This example scripts shows you how to do a few simple things using Cartopy. It
assumes a basic knowledge of MatPlotLib. This script has duplicated features too
as it also shows you how I personally choose to augment the Cartopy functions
with my own functions. This is optional and controlled by the "bellsWhistles"
Boolean variable. Finally, there are two functions in this script that contain
the "resolution" keyword which is set to "10m". If you want a cruder, more
jagged, plot that is generated quicker then you should set this to "110m". There

Guymer

#!/usr/bin/env python3

# Import standard modules ...
import json
import os

# Import special modules ...
try:
    import cartopy
    import cartopy.crs

Guymer

#!/usr/bin/env python3

# Import standard modules ...
import json
import os

# Import special modules ...
try:
    import cartopy
    import cartopy.crs

Guymer

#!/usr/bin/env python3

# Import standard modules ...
import json
import os

# Import special modules ...
try:
    import cartopy
    import cartopy.crs

Guymer

{
    "HP": {
        "colour": "raster/colour/HP.png",
        "extent": [
            400000.0,
            500000.0,
            1200000.0,
            1300000.0
        ],
        "greyscale": "raster/greyscale/HP.png"

Guymer

{
    "GBOverview": {
        "colour": "overview/colour/GBOverview.png",
        "extent": [
            -649749.9999999999,
            1350250.0,
            -150250.0,
            1449750.0000000005
        ],
        "greyscale": "overview/greyscale/GBOverview.png"

Guymer

{
    "MiniScale_(mono)_R22": {
        "colour": "miniscale/colour/MiniScale_(mono)_R22.png",
        "extent": [
            0.0,
            700000.0000027993,
            0.0,
            1300000.0000052003
        ],
        "greyscale": "miniscale/greyscale/MiniScale_(mono)_R22.png"

Guymer

#!/usr/bin/env python3

# NOTE: The following articles are worth a read:
#         * https://getoutside.ordnancesurvey.co.uk/guides/beginners-guide-to-grid-references/
#         * https://www.ordnancesurvey.co.uk/documents/resources/guide-coordinate-systems-great-britain.pdf
# NOTE: I downloaded the "1:250,000 Scale Colour Raster" dataset from the
#       Ordnance Survey, see:
#         * https://www.ordnancesurvey.co.uk/business-government/products/250k-raster
#       This gave me the "ras250_gb.zip" file that is used here.

Guymer

#!/usr/bin/env python3

# NOTE: The following articles are worth a read:
#         * https://getoutside.ordnancesurvey.co.uk/guides/beginners-guide-to-grid-references/
#         * https://www.ordnancesurvey.co.uk/documents/resources/guide-coordinate-systems-great-britain.pdf
# NOTE: I downloaded the "GB Overview Maps" dataset from the Ordnance Survey,
#       see:
#         * https://www.ordnancesurvey.co.uk/business-government/products/gb-overview
#       This gave me the "Over_gb.zip" file that is used here.