Native Python ASPRS LAS read/write library
Project description
Laspy
Laspy is a python library for reading, modifying and creating LAS LiDAR files.
Laspy is compatible with Python 3.7+.
Features
- LAS support.
- LAZ support via
lazrsorlaszipbackend. - LAS/LAZ streamed/chunked reading/writting.
- COPC support over files.
- COPC support over https with
requestspackage. - CRS support via
pyprojpackage.
Examples
Directly read and write las
import laspy
las = laspy.read('filename.las')
las.points = las.points[las.classification == 2]
las.write('ground.laz')
Open data to inspect header (opening only reads the header and vlrs)
import laspy
with laspy.open('filename.las') as f:
print(f"Point format: {f.header.point_format}")
print(f"Number of points: {f.header.point_count}")
print(f"Number of vlrs: {len(f.header.vlrs)}")
Use the 'chunked' reading & writing features
import laspy
with laspy.open('big.laz') as input_las:
with laspy.open('ground.laz', mode="w", header=input_las.header) as ground_las:
for points in input_las.chunk_iterator(2_000_000):
ground_las.write_points(points[points.classification == 2])
Appending points to existing file
import laspy
with laspy.open('big.laz') as input_las:
with laspy.open('ground.laz', mode="a") as ground_las:
for points in input_las.chunk_iterator(2_000_000):
ground_las.append_points(points[points.classification == 2])
API Documentation and tutorials are available at ReadTheDocs.
Installation
Laspy can be installed either with pip:
pip install laspy # without LAZ support
# Or
pip install laspy[laszip] # with LAZ support via LASzip
# Or
pip install laspy[lazrs] # with LAZ support via lazrs
Changelog
See CHANGELOG.md
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
laspy-2.4.0.tar.gz
(1.3 MB
view details)
File details
Details for the file laspy-2.4.0.tar.gz.
File metadata
- Download URL: laspy-2.4.0.tar.gz
- Upload date:
- Size: 1.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5aa6b7e3d2ddf8c7218f6b8e947aef52656cb16e1c4fef6e0f9fa3471d4cf4dc |
|
| MD5 | 8a6f704e2f2a96811313cb10c68acead |
|
| BLAKE2b-256 | e5ec1f6aad10c0b9bb1769f43de804e34f03911aa873ebfa9fc7e19d0da78896 |
