def test_image_matrix(station_names):
data = get_image_matrix()
fc = FeatureCollection()
for n in station_names:
x, y = get_xy(n)
fc.add_polygon(rbs.get_poly(x, y), dict(weight=data[x][y], name=n))
# So that scale is from 0 to 1
fc.add_polygon(rbs.get_poly(100, 100), dict(weight=0))
fc.dump('tmp1.geojson')
def test_image_matrix(station_names):
data = get_image_matrix()
fc = FeatureCollection()
for n in station_names:
x, y = get_xy(n)
fc.add_polygon(rbs.get_poly(x, y), dict(weight=data[x][y], name=n))
# So that scale is from 0 to 1
fc.add_polygon(rbs.get_poly(100, 100), dict(weight=0))
fc.dump('tmp1.geojson')
def get_avail(name):
x, y = get_xy(name)
return data[x][y]
def draw_rates(filename):
fc = FeatureCollection()
rates = pickle.load(open(filename))['rates']
for weight, station in zip(rates, sio.loadmat(MAT_FILE)['stations']):
fc.add_polygon(rbs.get_poly(*get_xy(station)), {'weight': weight})
fc.dump('rates.geojson')
def draw_rates(filename):
fc = FeatureCollection()
rates = pickle.load(open(filename))['rates']
for weight, station in zip(rates, sio.loadmat(MAT_FILE)['stations']):
fc.add_polygon(rbs.get_poly(*get_xy(station)), {'weight': weight})
fc.dump('rates.geojson')
def get_avail(name):
x, y = get_xy(name)
return data[x][y]
