2020-04-12 16:44:29 +02:00
|
|
|
#!/usr/bin/env python3
|
|
|
|
|
|
|
|
import numpy as np
|
2020-04-13 15:59:34 +02:00
|
|
|
import zlib
|
2020-04-12 16:44:29 +02:00
|
|
|
import matplotlib.pyplot as plt
|
|
|
|
|
2020-04-13 15:59:34 +02:00
|
|
|
def load_map(name, dtype, shape):
|
|
|
|
dtype = np.dtype(dtype)
|
|
|
|
with open(name, 'rb') as f:
|
|
|
|
data = f.read()
|
|
|
|
if len(data) < shape[0]*shape[1]*dtype.itemsize:
|
|
|
|
data = zlib.decompress(data)
|
|
|
|
return np.frombuffer(data, dtype=dtype).reshape(shape)
|
|
|
|
|
2020-04-12 16:44:29 +02:00
|
|
|
shape = np.loadtxt('size', dtype='u4')
|
|
|
|
n = shape[0] * shape[1]
|
2020-04-13 15:59:34 +02:00
|
|
|
dem = load_map('dem', '>i2', shape)
|
|
|
|
lakes = load_map('lakes', '>i2', shape)
|
|
|
|
rivers = load_map('rivers', '>u4', shape)
|
2020-04-12 16:44:29 +02:00
|
|
|
|
|
|
|
plt.subplot(1,3,1)
|
|
|
|
plt.pcolormesh(dem, cmap='viridis')
|
|
|
|
plt.gca().set_aspect('equal', 'box')
|
|
|
|
#plt.colorbar(orientation='horizontal')
|
|
|
|
plt.title('Raw elevation')
|
|
|
|
|
|
|
|
plt.subplot(1,3,2)
|
|
|
|
plt.pcolormesh(lakes, cmap='viridis')
|
|
|
|
plt.gca().set_aspect('equal', 'box')
|
|
|
|
#plt.colorbar(orientation='horizontal')
|
|
|
|
plt.title('Lake surface elevation')
|
|
|
|
|
|
|
|
plt.subplot(1,3,3)
|
|
|
|
plt.pcolormesh(np.log(rivers), vmin=0, vmax=np.log(n/25), cmap='Blues')
|
|
|
|
plt.gca().set_aspect('equal', 'box')
|
|
|
|
#plt.colorbar(orientation='horizontal')
|
2020-04-26 17:13:38 +02:00
|
|
|
plt.title('Rivers flux')
|
2020-04-12 16:44:29 +02:00
|
|
|
|
|
|
|
plt.show()
|