(data, name, len_types={}, val_types={}, comments=[])
return elt
Construct a PlyElement from an array's metadata.

        len_types and val_types can be given as mappings from list
        property names to type strings (like 'u1', 'f4', etc., or
        'int8', 'float32', etc.). These can be used to define the length
        and value types of list properties.  List property lengths
        always default to type 'u1' (8-bit unsigned integer), and value
        types default to 'i4' (32-bit integer).
Construct a PlyElement from an array's metadata.
Construct a PlyElement from an array s metadata .
def describe(data, name, len_types={}, val_types={}, comments=[]):
        """
        Construct a PlyElement from an array's metadata.

        len_types and val_types can be given as mappings from list
        property names to type strings (like 'u1', 'f4', etc., or
        'int8', 'float32', etc.). These can be used to define the length
        and value types of list properties.  List property lengths
        always default to type 'u1' (8-bit unsigned integer), and value
        types default to 'i4' (32-bit integer).

        """
        if not isinstance(data, _np.ndarray):
            raise TypeError("only numpy arrays are supported")

        if len(data.shape) != 1:
            raise ValueError("only one-dimensional arrays are " "supported")

        count = len(data)

        properties = []
        descr = data.dtype.descr

        for t in descr:
            if not isinstance(t[1], str):
                raise ValueError("nested records not supported")

            if not t[0]:
                raise ValueError("field with empty name")

            if len(t) != 2 or t[1][1] == "O":
                # non-scalar field, which corresponds to a list
                # property in PLY.

                if t[1][1] == "O":
                    if len(t) != 2:
                        raise ValueError("non-scalar object fields not " "supported")

                len_str = _data_type_reverse[len_types.get(t[0], "u1")]
                if t[1][1] == "O":
                    val_type = val_types.get(t[0], "i4")
                    val_str = _lookup_type(val_type)
                else:
                    val_str = _lookup_type(t[1][1:])

                prop = PlyListProperty(t[0], len_str, val_str)
            else:
                val_str = _lookup_type(t[1][1:])
                prop = PlyProperty(t[0], val_str)

            properties.append(prop)

        elt = PlyElement(name, properties, count, comments)
        elt.data = data

        return elt
def describe ( data , name , len_types = { } , val_types = { } , comments = [ ] ) : if not isinstance ( data , _np . ndarray ) : raise TypeError ( "only numpy arrays are supported" ) if len ( data . shape ) != 1 : raise ValueError ( "only one-dimensional arrays are " "supported" ) count = len ( data ) properties = [ ] descr = data . dtype . descr for t in descr : if not isinstance ( t [ 1 ] , str ) : raise ValueError ( "nested records not supported" ) if not t [ 0 ] : raise ValueError ( "field with empty name" ) if len ( t ) != 2 or t [ 1 ] [ 1 ] == "O" : # non-scalar field, which corresponds to a list # property in PLY. if t [ 1 ] [ 1 ] == "O" : if len ( t ) != 2 : raise ValueError ( "non-scalar object fields not " "supported" ) len_str = _data_type_reverse [ len_types . get ( t [ 0 ] , "u1" ) ] if t [ 1 ] [ 1 ] == "O" : val_type = val_types . get ( t [ 0 ] , "i4" ) val_str = _lookup_type ( val_type ) else : val_str = _lookup_type ( t [ 1 ] [ 1 : ] ) prop = PlyListProperty ( t [ 0 ] , len_str , val_str ) else : val_str = _lookup_type ( t [ 1 ] [ 1 : ] ) prop = PlyProperty ( t [ 0 ] , val_str ) properties . append ( prop ) elt = PlyElement ( name , properties , count , comments ) elt . data = data return elt