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Le Roux Erwan authoredb221bea0
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"""
ZS was extracted from a netcdf file
"""
import numpy as np
ZS = """[ 300. 600. 900. 1200. 1500. 1800. 2100. 2400. 2700. 3000. 3300. 300.
600. 900. 1200. 1500. 1800. 2100. 2400. 2700. 3000. 300. 600. 900.
1200. 1500. 1800. 2100. 2400. 2700. 3000. 3300. 3600. 3900. 4200. 4500.
4800. 0. 300. 600. 900. 1200. 1500. 1800. 2100. 2400. 300. 600.
900. 1200. 1500. 1800. 2100. 2400. 2700. 3000. 600. 900. 1200. 1500.
1800. 2100. 2400. 2700. 3000. 3300. 3600. 3900. 0. 300. 600. 900.
1200. 1500. 1800. 2100. 0. 300. 600. 900. 1200. 1500. 1800. 2100.
2400. 2700. 3000. 0. 300. 600. 900. 1200. 1500. 1800. 2100. 2400.
2700. 3000. 3300. 300. 600. 900. 1200. 1500. 1800. 2100. 2400. 2700.
3000. 3300. 3600. 3900. 900. 1200. 1500. 1800. 2100. 2400. 2700. 3000.
3300. 3600. 3900. 600. 900. 1200. 1500. 1800. 2100. 2400. 2700. 3000.
3300. 3600. 900. 1200. 1500. 1800. 2100. 2400. 2700. 3000. 3300. 0.
300. 600. 900. 1200. 1500. 1800. 2100. 2400. 0. 300. 600. 900.
1200. 1500. 1800. 2100. 2400. 2700. 3000. 3300. 3600. 3900. 4200. 900.
1200. 1500. 1800. 2100. 2400. 2700. 3000. 3300. 3600. 3900. 4200. 900.
1200. 1500. 1800. 2100. 2400. 2700. 3000. 3300. 300. 600. 900. 1200.
1500. 1800. 2100. 2400. 2700. 3000. 600. 900. 1200. 1500. 1800. 2100.
2400. 2700. 3000. 3300. 3600. 600. 900. 1200. 1500. 1800. 2100. 2400.
2700. 3000. 3300. 600. 900. 1200. 1500. 1800. 2100. 2400. 2700. 3000.
3300. 3600. 0. 300. 600. 900. 1200. 1500. 1800. 2100. 2400. 2700.
3000. 3300. 300. 600. 900. 1200. 1500. 1800. 2100. 2400. 2700. 3000.
3300. 300. 600. 900. 1200. 1500. 1800. 2100. 2400. 2700. 3000.]"""
ZS_INT = [int(float(e)) for e in ZS[1:-1].split()]
ALTITUDES = sorted(set(ZS_INT))
# Create a ZS_INT with only the 23 first massifs
ZS_INT_23 = ZS_INT[:-10].copy()
# Create a ZS_INT with np.nan all altitudes corresponding to the 24th massif
ZS_INT_MASK = np.array(ZS_INT)
ZS_INT_MASK[-10:] = np.nan