mirror of
https://gitlab.com/gaelysam/mapgen_rivers.git
synced 2024-11-18 16:40:25 +01:00
103 lines
3.5 KiB
Python
103 lines
3.5 KiB
Python
#!/usr/bin/env python3
|
|
|
|
import numpy as np
|
|
import sys, traceback
|
|
|
|
has_matplotlib = True
|
|
try:
|
|
import matplotlib.colors as mcl
|
|
import matplotlib.pyplot as plt
|
|
try:
|
|
import colorcet as cc
|
|
cmap1 = cc.cm.CET_L11
|
|
cmap2 = cc.cm.CET_L12
|
|
except ImportError: # No module colorcet
|
|
import matplotlib.cm as cm
|
|
cmap1 = cm.summer
|
|
cmap2 = cm.Blues
|
|
except ImportError: # No module matplotlib
|
|
has_matplotlib = False
|
|
|
|
if has_matplotlib:
|
|
def view_map(dem, lakes, scale=1, center=False, sea_level=0.0, title=None):
|
|
lakes_sea = np.maximum(lakes, sea_level)
|
|
water = np.maximum(lakes_sea - dem, 0)
|
|
max_elev = dem.max()
|
|
max_depth = water.max()
|
|
|
|
ls = mcl.LightSource(azdeg=315, altdeg=45)
|
|
norm_ground = plt.Normalize(vmin=sea_level, vmax=max_elev)
|
|
norm_sea = plt.Normalize(vmin=0, vmax=max_depth)
|
|
rgb = ls.shade(dem, cmap=cmap1, vert_exag=1/scale, blend_mode='soft', norm=norm_ground)
|
|
|
|
(X, Y) = dem.shape
|
|
if center:
|
|
extent = (-(Y+1)*scale/2, (Y-1)*scale/2, -(X+1)*scale/2, (X-1)*scale/2)
|
|
else:
|
|
extent = (-0.5*scale, (Y-0.5)*scale, -0.5*scale, (X-0.5)*scale)
|
|
plt.imshow(np.flipud(rgb), extent=extent, interpolation='antialiased')
|
|
alpha = (water > 0).astype('u1')
|
|
plt.imshow(np.flipud(water), alpha=np.flipud(alpha), cmap=cmap2, extent=extent, vmin=0, vmax=max_depth, interpolation='antialiased')
|
|
|
|
sm1 = plt.cm.ScalarMappable(cmap=cmap1, norm=norm_ground)
|
|
plt.colorbar(sm1).set_label('Elevation')
|
|
|
|
sm2 = plt.cm.ScalarMappable(cmap=cmap2, norm=norm_sea)
|
|
plt.colorbar(sm2).set_label('Water depth')
|
|
|
|
plt.xlabel('X')
|
|
plt.ylabel('Z')
|
|
|
|
if title is not None:
|
|
plt.title(title, fontweight='bold')
|
|
|
|
def update(*args, t=0.01, **kwargs):
|
|
try:
|
|
plt.clf()
|
|
view_map(*args, **kwargs)
|
|
plt.pause(t)
|
|
except:
|
|
traceback.print_exception(*sys.exc_info())
|
|
|
|
def plot(*args, **kwargs):
|
|
try:
|
|
plt.clf()
|
|
view_map(*args, **kwargs)
|
|
plt.pause(0.01)
|
|
plt.show()
|
|
except Exception as e:
|
|
traceback.print_exception(*sys.exc_info())
|
|
|
|
else:
|
|
def update(*args, **kwargs):
|
|
pass
|
|
def plot(*args, **kwargs):
|
|
pass
|
|
|
|
def stats(dem, lakes, scale=1):
|
|
surface = dem.size
|
|
|
|
continent = np.maximum(dem, lakes) >= 0
|
|
continent_surface = continent.sum()
|
|
|
|
lake = continent & (lakes>dem)
|
|
lake_surface = lake.sum()
|
|
|
|
print('--- General ---')
|
|
print('Grid size: {:5d}x{:5d}'.format(dem.shape[0], dem.shape[1]))
|
|
if scale > 1:
|
|
print('Map size: {:5d}x{:5d}'.format(int(dem.shape[0]*scale), int(dem.shape[1]*scale)))
|
|
print()
|
|
print('--- Surfaces ---')
|
|
print('Continents: {:6.2%}'.format(continent_surface/surface))
|
|
print('-> Ground: {:6.2%}'.format((continent_surface-lake_surface)/surface))
|
|
print('-> Lakes: {:6.2%}'.format(lake_surface/surface))
|
|
print('Oceans: {:6.2%}'.format(1-continent_surface/surface))
|
|
print()
|
|
print('--- Elevations ---')
|
|
print('Mean elevation: {:4.0f}'.format(dem.mean()))
|
|
print('Mean ocean depth: {:4.0f}'.format((dem*~continent).sum()/(surface-continent_surface)))
|
|
print('Mean continent elev: {:4.0f}'.format((dem*continent).sum()/continent_surface))
|
|
print('Lowest elevation: {:4.0f}'.format(dem.min()))
|
|
print('Highest elevation: {:4.0f}'.format(dem.max()))
|