How to create a LandMask from arbitrary data¶
Instantiating masks directly can be done as follows.
for proportion in [0.1, 0.5, 0.9]:
anydata = np.zeros((500, 1000), dtype=bool)
whr = np.random.randint(0, anydata.size, size=int(anydata.size*proportion))
anydata.flat[whr] = True
lm = dm.mask.LandMask.from_array(
anydata)
fig, ax = plt.subplots()
lm.show(ax=ax)
plt.show()
