jaklas

jaklas is a thin wrapper around pylas to make reading and writing las files as simple as possible.

The main use case is to write a pandas array to a las file in a single function call. The las file attributes (point offset, point scaling, file version, point format, etc.) are inferred depending on column names, datatype and point values.

The las writer supports any object implementing __getitem__ that has the correct field names.

Installation

git clone git@github.com:jakarto3d/jaklas.git
cd jaklas
python -m pip install .

Testing

pip install -r requirements-dev.txt
pytest

Usage

jaklas.write writes a pandas dataframe (or a dict) to a las file.

The dataframe must have either (case insensitive):

• 'x', 'y' and 'z' columns
• or an 'xyz' column

and it can have other las attributes (case sensitive names taken from pylas):

• gps_time
• intensity
• classification
• red
• green
• blue
• edge_of_flight_line
• key_point
• nir
• number_of_returns
• overlap
• point_source_id
• raw_classification
• return_number
• return_point_wave_location
• scan_angle
• scan_angle_rank
• scan_direction_flag
• scanner_channel
• synthetic
• user_data
• wavepacket_index
• wavepacket_offset
• wavepacket_size
• withheld
• x_t
• y_t
• z_t

other column names will be written as extra dimensions.

Example

import jaklas
import pandas

data = {
    'gps_time': [0, 1.232, 2.543, 3.741],
    'intensity': [14578, 54236, 1425, 12543],
    'X': [456, 234, 567, 432],
    'Y': [10234, 10256, 10789, 10275],
    'Z': [10, 11, 12, 13],
}
dataframe = pandas.DataFrame(data)
filename = 'example.las'
jaklas.write(dataframe, filename)

Note the upper case 'X', 'Y' and 'Z' point data are the real coordinates, not the scaled int32 ones like in the las file.

See jaklas.write docstring for more options like controlling offset and scaling.