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: 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.

# Import standard modules ...
import io
import json

Guymer

#!/usr/bin/env python3

# 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.

# Import standard modules ...
import io
import json

Guymer

#!/usr/bin/env python3

# NOTE: I downloaded the "MiniScale" dataset from the Ordnance Survey, see:
#         * https://www.ordnancesurvey.co.uk/business-government/products/miniscale
#       This gave me the "minisc_gb.zip" file that is used here.

# Import standard modules ...
import io
import json
import os