Point cloud writer to las file.
Project description
Note:
This library was originally created at Jakarto because we needed a single library to easily create las files from pandas arrays. We found using the old laspy api a bit unintuitive, so we created this wrapper. Since laspy 2.0.0, this has been greatly improved. Someone looking for the simplest way to read and write las files could find jaklas useful, but I would encourage reading laspy's documentation also.
jaklas
jaklas is a thin wrapper around laspy
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
pip install jaklas
Testing
git clone git@github.com:jakarto3d/jaklas.git
cd jaklas
pip install -r requirements-dev.txt
python -m pip install .
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 laspy
):
- 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.
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