7c5daf825bcb84e6f750a6d6fad3a2626c4ea5ec,pyntcloud/io/las.py,,read_las,#,33

Before Change

        data["points"] = pd.DataFrame(las.points["point"])
        data["points"].columns = (x.lower() for x in data["points"].columns)
        // because laspy do something strange with scale
        data["points"].loc[:, ["x", "y", "z"]] *= las.header.scale
        data = convert_location_to_dtype(data, xyz_dtype)
        data = convert_color_to_dtype(data, rgb_dtype)
        data["las_header"] = las.header

After Change

    data: dict
        Elements as pandas DataFrames.
    
    if backend == "pylas":
        data = read_las_with_pylas(filename)
    elif backend == "laspy":
        data = read_las_with_laspy(filename)
    else:
        raise ValueError(f"Unsupported backend. Expected one of ["pylas", "laspy"] but got {backend}")
    data = convert_location_to_dtype(data, xyz_dtype)
    data = convert_color_to_dtype(data, rgb_dtype)
    return data

Instances