Atm, sub fields are a bit weird to interact with.
Example:
import pylas
las = pylas.read(som_file)
las.classification[:] = 0
assert np.all(las.classification == 0) # This will fail (unless the classification was already 0s)
The current way to work arround this is to do
import pylas
las = pylas.read(som_file)
classification = las.classification
classification[:] = 0
las.classification = classification
assert np.all(las.classification == 0) # This will work
All 'sub fields' have this behaviour, (classification, key_point, number_of_returns, return_number, etc), this is because when accessing these fields we return a new array with the valuesz.
The way to fix/improve this would be to return an object that act as a view into the array that holds the values
and that view-object would take care of returning and setting the proper values using a bitmask.
Atm, sub fields are a bit weird to interact with. Example:
The current way to work arround this is to do
All 'sub fields' have this behaviour, (classification, key_point, number_of_returns, return_number, etc), this is because when accessing these fields we return a new array with the valuesz.
The way to fix/improve this would be to return an object that act as a view into the array that holds the values and that view-object would take care of returning and setting the proper values using a bitmask.