pylas.lasdata module¶
LasData¶
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class
pylas.lasdata.LasData(header: pylas.header.LasHeader, points: Optional[pylas.point.record.PackedPointRecord] = None)[source]¶ Bases:
objectClass synchronizing all the moving parts of LAS files.
It connects the point record, header, vlrs together.
To access points dimensions using this class you have two possibilities
las = pylas.read('some_file.las') las.classification # or las['classification']
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x¶ Returns the scaled x positions of the points as doubles
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y¶ Returns the scaled y positions of the points as doubles
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z¶ Returns the scaled z positions of the points as doubles
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point_format¶ Shortcut to get the point format
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points¶ Returns the point record
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vlrs¶
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add_extra_dim(params: pylas.point.format.ExtraBytesParams) → None[source]¶ Adds a new extra dimension to the point record
Note
If you plan on adding multiple extra dimensions, prefer
add_extra_dims()as it will save re-allocations and data copyParameters: params (ExtraBytesParams) – parameters of the new extra dimension to add
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add_extra_dims(params: List[pylas.point.format.ExtraBytesParams]) → None[source]¶ Add multiple extra dimensions at once
Parameters: params (list of parameters of the new extra dimensions to add) –
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update_header() → None[source]¶ Update the information stored in the header to be in sync with the actual data.
This method is called automatically when you save a file using
pylas.lasdatas.base.LasBase.write()
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write(destination, do_compress=None, laz_backend=None)[source]¶ Writes to a stream or file
Note
When destination is a string, it will be interpreted as the path were the file should be written to, and whether the file will be compressed depends on the extension used (case insensitive):
- .laz -> compressed
- .las -> uncompressed
And the do_compress option will be ignored
Parameters:
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