本文整理汇总了Python中worldengine.world.World.set_temperature方法的典型用法代码示例。如果您正苦于以下问题：Python World.set_temperature方法的具体用法？Python World.set_temperature怎么用？Python World.set_temperature使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类worldengine.world.World的用法示例。
在下文中一共展示了World.set_temperature方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: load_world_to_hdf5
# 需要导入模块: from worldengine.world import World [as 别名]
# 或者: from worldengine.world.World import set_temperature [as 别名]
def load_world_to_hdf5(filename):
f = h5py.File(filename, libver='latest', mode='r')
w = World(f['general/name'].value,
f['general/width'].value,
f['general/height'].value,
f['generation_params/seed'].value,
f['generation_params/n_plates'].value,
f['generation_params/ocean_level'].value,
Step.get_by_name(f['generation_params/step'].value))
# Elevation
e = numpy.array(f['elevation/data'])
e_th = [('sea', f['elevation/thresholds/sea'].value),
('plain', f['elevation/thresholds/plain'].value),
('hill', f['elevation/thresholds/hill'].value),
('mountain', None)]
w.set_elevation(e, e_th)
# Plates
w.set_plates(numpy.array(f['plates']))
# Ocean
w.set_ocean(numpy.array(f['ocean']))
w.sea_depth = numpy.array(f['sea_depth'])
# Biome
if 'biome' in f.keys():
biome_data = []
for y in range(w.height):
row = []
for x in range(w.width):
value = f['biome'][y, x]
row.append(biome_index_to_name(value))
biome_data.append(row)
biome = numpy.array(biome_data, dtype=object)
w.set_biome(biome)
# Humidity
# FIXME: use setters
if 'humidity' in f.keys():
w.humidity = _from_hdf5_matrix_with_quantiles(f['humidity'])
w.humidity['data'] = numpy.array(w.humidity['data']) # numpy conversion
if 'irrigation' in f.keys():
w.irrigation = numpy.array(f['irrigation'])
if 'permeability' in f.keys():
p = numpy.array(f['permeability/data'])
p_th = [
('low', f['permeability/thresholds/low'].value),
('med', f['permeability/thresholds/med'].value),
('hig', None)
]
w.set_permeability(p, p_th)
if 'watermap' in f.keys():
w.watermap = dict()
w.watermap['data'] = numpy.array(f['watermap/data'])
w.watermap['thresholds'] = {}
w.watermap['thresholds']['creek'] = f['watermap/thresholds/creek'].value
w.watermap['thresholds']['river'] = f['watermap/thresholds/river'].value
w.watermap['thresholds']['main river'] = f['watermap/thresholds/mainriver'].value
if 'precipitation' in f.keys():
p = numpy.array(f['precipitation/data'])
p_th = [
('low', f['precipitation/thresholds/low'].value),
('med', f['precipitation/thresholds/med'].value),
('hig', None)
]
w.set_precipitation(p, p_th)
if 'temperature' in f.keys():
t = numpy.array(f['temperature/data'])
t_th = [
('polar', f['temperature/thresholds/polar'].value),
('alpine', f['temperature/thresholds/alpine'].value),
('boreal', f['temperature/thresholds/boreal'].value),
('cool', f['temperature/thresholds/cool'].value),
('warm', f['temperature/thresholds/warm'].value),
('subtropical', f['temperature/thresholds/subtropical'].value),
('tropical', None)
]
w.set_temperature(t, t_th)
if 'icecap' in f.keys():
w.icecap = numpy.array(f['icecap'])
if 'lake_map' in f.keys():
m = numpy.array(f['lake_map'])
w.set_lakemap(m)
if 'river_map' in f.keys():
m = numpy.array(f['river_map'])
w.set_rivermap(m)
f.close()
return w