Skip to main content
Help us improve PyPI by participating in user testing. All experience levels needed!

Point cloud data processing

Project description

The PDAL Python extension allows you to process data with PDAL into Numpy arrays. Additionally, you can use it to fetch schema and metadata from PDAL operations.

The repository for PDAL’s Python extension is available at

It is released independently from PDAL itself as of PDAL 1.7.


Given the following pipeline, which simply reads an ASPRS LAS file and sorts it by the X dimension:

json = """
  "pipeline": [
        "type": "filters.sort",
        "dimension": "X"

import pdal
pipeline = pdal.Pipeline(json)
pipeline.validate() # check if our JSON and options were good
pipeline.loglevel = 9 #really noisy
count = pipeline.execute()
arrays = pipeline.arrays
metadata = pipeline.metadata
log = pipeline.log


  • PDAL 1.7+
  • Python >=2.7 (including Python 3.x)


Project details

Release history Release notifications

This version
History Node


History Node


History Node


History Node


History Node


History Node


History Node


History Node


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
PDAL-2.0.0-cp36-cp36m-win_amd64.whl (102.7 kB) Copy SHA256 hash SHA256 Wheel 3.6 Apr 8, 2018
PDAL-2.0.0-py3.6-win-amd64.egg (103.4 kB) Copy SHA256 hash SHA256 Egg 3.6 Apr 8, 2018
PDAL-2.0.0.tar.gz (51.6 kB) Copy SHA256 hash SHA256 Source None Apr 8, 2018

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page