laspy.point.record module

Contains the classes that manages Las PointRecords Las PointRecords are represented using Numpy’s structured arrays, The PointRecord classes provide a few extra things to manage these arrays in the context of Las point data

laspy.point.record.scale_dimension(array_dim, scale, offset)[source]
laspy.point.record.unscale_dimension(array_dim, scale, offset)[source]
class laspy.point.record.DimensionNameValidity(value)[source]

Bases: Enum

Helper class to make the return value of PackedPointRecord.validate_dimentsion_name more expressive.

Valid = 1
Unsupported = 2
Invalid = 3
class laspy.point.record.PackedPointRecord(data: ndarray, point_format: PointFormat)[source]

Bases: object

In the PackedPointRecord, fields that are a combinations of many sub-fields (fields stored on less than a byte) are still packed together and are only de-packed and re-packed when accessed.

This uses of less memory than if the sub-fields were unpacked

>>> #return number is a sub-field
>>> from laspy import PointFormat, PackedPointRecord
>>> packed_point_record = PackedPointRecord.zeros(10,PointFormat(0))
>>> return_number = packed_point_record['return_number']
>>> return_number
<SubFieldView([0 0 0 0 0 0 0 0 0 0])>
>>> return_number[:] = 1
>>> np.alltrue(packed_point_record['return_number'] == 1)
property point_size

Returns the point size in bytes taken by each points of the record


The point size in byte

Return type


static zeros(point_count, point_format)[source]

Creates a new point record with all dimensions initialized to zero

  • point_format (PointFormat) – The point format id the point record should have

  • point_count (int) – The number of point the point record should have

Return type


static empty(point_format)[source]

Creates an empty point record.


point_format (laspy.PointFormat) – The point format id the point record should have

Return type


classmethod from_point_record(other_point_record: PackedPointRecord, new_point_format: PointFormat) PackedPointRecord[source]

Construct a new PackedPointRecord from an existing one with the ability to change to point format while doing so

classmethod from_buffer(buffer, point_format, count=- 1, offset=0)[source]
copy_fields_from(other_record: PackedPointRecord) None[source]

Tries to copy the values of the current dimensions from other_record

copy() PackedPointRecord[source]
memoryview() memoryview[source]
resize(new_size: int) None[source]
validate_dimension_name(key: str) DimensionNameValidity[source]

Given a name of a dimension this validates it.

laspy.point.record.apply_new_scaling(record, scales: ndarray, offsets: ndarray) None[source]
class laspy.point.record.ScaleAwarePointRecord(array, point_format, scales, offsets)[source]

Bases: PackedPointRecord

A ScaleAwarePointRecord is a point record that knows the scales and offets to use, and is thus able to get and set the scaled x, y, z coordinates

To create one, use ScaleAwarePointRecord.zeros() or ScaleAwarePointRecord.empty()

static zeros(point_count, *, point_format=None, scales=None, offsets=None, header=None)[source]

Creates a new point record with all dimensions initialized to zero


>>> record = ScaleAwarePointRecord.zeros(
... 5, point_format=PointFormat(3), scales=[1.0, 1.0, 1.0], offsets=[0.1, 0.5, 17.5])
>>> len(record)
>>> import laspy
>>> hdr = laspy.LasHeader()
>>> record = ScaleAwarePointRecord.zeros(5, header=hdr)
>>> len(record)
>>> hdr = laspy.LasHeader()
>>> record = ScaleAwarePointRecord.zeros(5, header=hdr, scales=[1.0, 1.0, 1.0])
Traceback (most recent call last):
ValueError: header argument is mutually exclusive with point_format, scales and offets
>>> record = ScaleAwarePointRecord.zeros(5, point_format=PointFormat(3))
Traceback (most recent call last):
ValueError: You have to provide all 3: point_format, scale and offsets
static empty(point_format=None, scales=None, offsets=None, header=None)[source]

Creates an empty point record.

change_scaling(scales=None, offsets=None) None[source]

See LasData.change_scaling()