mirror of
https://gitlab.com/gaelysam/mapgen_rivers.git
synced 2024-11-14 06:40:21 +01:00
49 lines
1.3 KiB
Python
Executable File
49 lines
1.3 KiB
Python
Executable File
#!/usr/bin/env python3
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import numpy as np
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import zlib
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import matplotlib.colors as mcol
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import matplotlib.pyplot as plt
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def view_map(dem, lakes, rivers):
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plt.subplot(1,3,1)
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plt.pcolormesh(dem, cmap='viridis')
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plt.gca().set_aspect('equal', 'box')
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plt.colorbar(orientation='horizontal')
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plt.title('Raw elevation')
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plt.subplot(1,3,2)
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plt.pcolormesh(lakes, cmap='viridis')
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plt.gca().set_aspect('equal', 'box')
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plt.colorbar(orientation='horizontal')
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plt.title('Lake surface elevation')
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plt.subplot(1,3,3)
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plt.pcolormesh(rivers, cmap='Blues', norm=mcol.LogNorm())
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plt.gca().set_aspect('equal', 'box')
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plt.colorbar(orientation='horizontal')
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plt.title('Rivers flux')
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plt.show()
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if __name__ == "__main__":
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import sys
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import os
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if len(sys.argv) > 1:
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os.chdir(sys.argv[1])
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def load_map(name, dtype, shape):
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dtype = np.dtype(dtype)
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with open(name, 'rb') as f:
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data = f.read()
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if len(data) < shape[0]*shape[1]*dtype.itemsize:
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data = zlib.decompress(data)
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return np.frombuffer(data, dtype=dtype).reshape(shape)
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shape = np.loadtxt('size', dtype='u4')
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dem = load_map('dem', '>i2', shape)
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lakes = load_map('lakes', '>i2', shape)
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rivers = load_map('rivers', '>u4', shape)
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view_map(dem, lakes, rivers)
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