cars.data_structures.dataframe_converter
========================================

.. py:module:: cars.data_structures.dataframe_converter

.. autoapi-nested-parse::

   Contains function to convert the point cloud dataframe to laz format:



Functions
---------

.. autoapisummary::

   cars.data_structures.dataframe_converter.convert_pcl_to_laz
   cars.data_structures.dataframe_converter.get_input_color
   cars.data_structures.dataframe_converter.extract_point_cloud
   cars.data_structures.dataframe_converter.generate_prj_file
   cars.data_structures.dataframe_converter.generate_laz


Module Contents
---------------

.. py:function:: convert_pcl_to_laz(point_clouds, output_filename: str)

   Convert 3d point cloud to laz format
   :param point_clouds: point_clouds dataframe
   :param output_filename: output laz filename (with naming convention)
   :return: the list of point cloud save in las format


.. py:function:: get_input_color(point_clouds)

   Retrieve color index from point cloud
   :param point_clouds: point clouds data
   :return: input color list


.. py:function:: extract_point_cloud(point_clouds, coordinates, input_color, color_type)

   Extract point cloud positions (x,y,z) and color layers
   :param point_clouds: point cloud dataframe
   :param coordinate: target coordinates key index
   :param input_color: color key index according to input
   :param color_type: type of color data
   :param nb
   :return: point cloud array location and color


.. py:function:: generate_prj_file(output_filename, epsg)

   Generate prj file associated to the laz file if projection is UTM or WGS84
   :param output_filename: name of laz file
   :param epsg: code of output epsg


.. py:function:: generate_laz(output_filename, coordinates, las_color, arrays_pcl, arrays_color)

   Generate laz file from location and color arrays