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PDAL 1.6.0

Point cloud data processing

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.


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 1.4+
  • Python >=2.7 (including Python 3.x)


File Type Py Version Uploaded on Size
PDAL-1.6.0-py3.6-win-amd64.egg (md5) Python Egg 3.6 2017-11-08 107KB
PDAL-1.6.0.tar.gz (md5) Source 2017-10-13 48KB