pymccrgb.ioutils module¶
Convenience functions for loading point clouds in various formats
-
pymccrgb.ioutils.read_data(filename, usecols=None, userows=None, nrows=None)[source]¶ Loads a point cloud as numpy array
Parameters: - filename: str
Filename of text file containing point cloud
- usecols: list
List of column indices (text file) or names (LAS file) to load Default: First six columns, e.g., (x, y, z, r, g, b)
- userows: list
List of rows to load. Overrides nrows argument Default: All rows
- nrows: int
Number of random rows to load. Ignored if userows is given. Default: Not used.
Returns: - A data array of shape (nrows x ncols)
-
pymccrgb.ioutils.read_las(filename, usecols=['X', 'Y', 'Z', 'Red', 'Green', 'Blue'], userows=None, nrows=None)[source]¶ Loads a point cloud from a LAS or LAZ file into a Numpy array
Theoretically, any file with a PDAL reader can be read with read_las
Parameters: - filename: str
Filename of LAS or LAZ file containing point cloud
- usecols: list
List of column names to load Default: [‘X’, ‘Y’, ‘Z’, ‘Red’, ‘Green’, ‘Blue’]
- userows: list
List of rows to load. Overrides nrows argument Default: All rows
- nrows: int
Number of random rows to load. Ignored if userows is given. Default: Not used.
Returns: - A data array of shape (nrows x ncols)
-
pymccrgb.ioutils.read_txt(filename, usecols=range(0, 6), userows=None, nrows=None)[source]¶ Loads a point cloud from text file as numpy array
Parameters: - filename: str
Filename of text file containing point cloud
- usecols: list
List of column indices to load Default: First six columns, e.g., (x, y, z, r, g, b)
- userows: list
List of rows to load. Overrides nrows argument Default: All rows
- nrows: int
Number of random rows to load. Ignored if userows is given. Default: Not used.
Returns: - A data array of shape (nrows x ncols)