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.. laspy documentation master file, created by
sphinx-quickstart on Wed Mar 28 09:00:58 2018.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
===========================================
laspy: Python library for lidar LAS/LAZ IO.
===========================================
`LAS`_ (and its compressed counterpart LAZ), is a popular format for lidar pointcloud and full waveform,
laspy reads and writes these formats and provides a Python API via Numpy Arrays.
.. _LAS: https://www.asprs.org/committee-general/laser-las-file-format-exchange-activities.html
Here is an example of reading in LAZ data and getting some simple summaries of the pointcloud:
.. testcode::
import numpy as np
import laspy
with laspy.open('laspytests/data/simple.laz') as fh:
print('Points from Header:', fh.header.point_count)
las = fh.read()
print(las)
print('Points from data:', len(las.points))
ground_pts = las.classification == 2
bins, counts = np.unique(las.return_number[ground_pts], return_counts=True)
print('Ground Point Return Number distribution:')
for r,c in zip(bins,counts):
print(' {}:{}'.format(r,c))
Would output:
.. testoutput::
Points from Header: 1065
<LasData(1.2, point fmt: <PointFormat(3)>, 1065 points, 0 vlrs)>
Points from data: 1065
Ground Point Return Number distribution:
1:239
2:25
3:11
4:1
User Guide
==========
.. toctree::
:maxdepth: 2
installation
intro
basic
examples
complete_tutorial
lessbasic
migration
changelog
contributing
API Documentation
=================
.. toctree::
:maxdepth: 2
api/index
Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`
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