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#!/usr/bin/env python3
# Use the proper idiom in the main module ...
# NOTE: See https://docs.python.org/3.13/library/multiprocessing.html#the-spawn-and-forkserver-start-methods
if __name__ == "__main__":
# Import standard modules ...
import json
import pathlib
# Import special modules ...
try:
import cartopy
cartopy.config.update(
{
"cache_dir" : pathlib.PosixPath("~/.local/share/cartopy").expanduser(),
}
)
except:
raise Exception("\"cartopy\" is not installed; run \"pip install --user Cartopy\"") from None
try:
import matplotlib
matplotlib.rcParams.update(
{
"axes.xmargin" : 0.01,
"axes.ymargin" : 0.01,
"backend" : "Agg", # NOTE: See https://matplotlib.org/stable/gallery/user_interfaces/canvasagg.html
"figure.dpi" : 300,
"figure.figsize" : (9.6, 7.2), # NOTE: See https://github.com/Guymer/misc/blob/main/README.md#matplotlib-figure-sizes
"font.size" : 8,
"image.interpolation" : "none", # NOTE: See https://matplotlib.org/stable/gallery/images_contours_and_fields/interpolation_methods.html
"image.resample" : False,
}
)
import matplotlib.pyplot
except:
raise Exception("\"matplotlib\" is not installed; run \"pip install --user matplotlib\"") from None
try:
import shapely
import shapely.geometry
except:
raise Exception("\"shapely\" is not installed; run \"pip install --user Shapely\"") from None
# Import my modules ...
try:
import pyguymer3
import pyguymer3.geo
import pyguymer3.image
except:
raise Exception("\"pyguymer3\" is not installed; run \"pip install --user PyGuymer3\"") from None
# Set point ...
point = (-1.463097, 52.915709) # [°], [°]
# Set number of bearings ...
nAng = 361 # [#]
# Create short-hand for the colour map ...
cmap = matplotlib.colormaps["turbo"]
# Load tile metadata ...
with open("OrdnanceSurveyBackgroundImages/miniscale.json", mode = "rt", encoding = "utf-8") as fObj:
meta = json.load(fObj)
# **************************************************************************
# Create figure ...
fg = matplotlib.pyplot.figure(figsize = (7.2, 7.2))
# Create axis ...
ax = pyguymer3.geo.add_axis(
fg,
debug = False,
dist = 20.0e3,
lat = point[1],
lon = point[0],
)
# Configure axis ...
ax.set_title("Derby Train Station")
# Initialize float and lists and draw data ...
# NOTE: As of 5/Dec/2023, the default "zorder" of the coastlines is 1.5, the
# default "zorder" of the gridlines is 2.0 and the default "zorder" of
# the scattered points is 1.0.
dist = 0.0 # [m]
labels = []
lines = []
ax.scatter(
[point[0]],
[point[1]],
alpha = 1.0,
edgecolor = "none",
facecolor = "red",
transform = cartopy.crs.PlateCarree(),
zorder = 5.0,
)
for i in range(6):
dist += 2500.0 # [m]
ax.add_geometries(
[pyguymer3.geo.buffer(shapely.geometry.Point(point[0], point[1]), dist, debug = False, nAng = nAng, simp = -1.0)],
cartopy.crs.PlateCarree(),
alpha = 1.0,
edgecolor = cmap(float(i) / 5.0),
facecolor = "none",
linewidth = 1.0
)
labels.append(f"{0.001 * dist:.1f} km")
lines.append(matplotlib.lines.Line2D([], [], color = cmap(float(i) / 5.0)))
# Draw background image ...
ax.imshow(
matplotlib.pyplot.imread(f'OrdnanceSurveyBackgroundImages/{meta["MiniScale_(mono)_R22"]["greyscale"]}'),
cmap = "gray",
extent = meta["MiniScale_(mono)_R22"]["extent"],
origin = "upper",
transform = cartopy.crs.OSGB(),
vmin = 0.0,
vmax = 1.0,
)
# Configure axis ...
ax.legend(
lines,
labels,
loc = "upper right",
ncol = 1,
)
# Configure figure ...
fg.tight_layout()
# Save figure ...
fg.savefig("miniscale.png")
matplotlib.pyplot.close(fg)
# Optimize PNG ...
pyguymer3.image.optimise_image("miniscale.png", strip = True)
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