Moved Python files inside a folder (package), except the 2 that are directly executable

terrainlib/view.py

@@ -0,0 +1,91 @@
+#!/usr/bin/env python3
+
+import numpy as np
+
+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, title=None):
+        if not has_matplotlib:
+            return
+        lakes_sea = np.maximum(lakes, 0)
+        water = np.maximum(lakes_sea - dem, 0)
+        max_elev = lakes_sea.max()
+        max_depth = water.max()
+
+        ls = mcl.LightSource(azdeg=315, altdeg=45)
+        rgb = ls.shade(lakes_sea, cmap=cmap1, vert_exag=1/scale, blend_mode='soft', vmin=0, vmax=max_elev)
+
+        (X, Y) = dem.shape
+        extent = (0, Y*scale, 0, X*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=plt.Normalize(vmin=0, vmax=max_elev))
+        plt.colorbar(sm1).set_label('Elevation')
+
+        sm2 = plt.cm.ScalarMappable(cmap=cmap2, norm=plt.Normalize(vmin=0, vmax=max_depth))
+        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):
+        plt.clf()
+        view_map(*args, **kwargs)
+        plt.pause(t)
+
+    def plot(*args, **kwargs):
+        plt.clf()
+        view_map(*args, **kwargs)
+        plt.show()
+
+else:
+    def update(*args, **kwargs):
+        pass
+    def plot(*args, **kwargs):
+        pass
+
+def stats(dem, lake_dem, scale=1):
+    surface = dem.size
+
+    continent = lake_dem >= 0
+    continent_surface = continent.sum()
+
+    lake = continent & (lake_dem>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()))