teradataml.geospatial.geodataframe.GeoDataFrame.tail = tail(self, n=10)

DESCRIPTION:
    Print the last n rows of the sorted teradataml GeoDataFrame.
    Note:
        The GeoDataframe is sorted on the index column or the first column if
        there is no index column. The column type must support sorting.
        Unsupported types: ['BLOB', 'CLOB', 'ARRAY', 'VARRAY']
 
PARAMETERS:
    n:
        Optional Argument.
        Specifies the number of rows to select.
        Default Value: 10.
        Types: int
 
RETURNS:
    teradataml GeoDataFrame
 
RAISES:
    TeradataMlException
 
EXAMPLES:
>>> load_example_data("geodataframe", "sample_shapes")
>>> df = GeoDataFrame("sample_shapes").select(["skey", "points"])
>>> df
skey                                                    points
1003                                                  POINT (235.52 54.546)
1010  MULTIPOINT (10.345 20.32 30.6,40.234 50.23 60.24,70.234 80.56 80.234)
1008       MULTIPOINT (1.65 1.76,1.23 3.76,6.23 3.78,10.76 5.9,20.32 1.231)
1006                                           POINT (235.52 54.546 7.4564)
1007                                     MULTIPOINT (1 1,1 3,6 3,10 5,20 1)
1005                                                          POINT (1 3 5)
1009                                MULTIPOINT (10 20 30,40 50 60,70 80 80)
1001                                                          POINT (10 20)
1002                                                            POINT (1 3)
1004                                                       POINT (10 20 30)
 
>>> df.tail()
skey                                  points
1008       MULTIPOINT (1.65 1.76,1.23 3.76,6.23 3.78,10.76 5.9,20.32 1.231)
1006                                           POINT (235.52 54.546 7.4564)
1005                                                          POINT (1 3 5)
1004                                                       POINT (10 20 30)
1002                                                            POINT (1 3)
1001                                                          POINT (10 20)
1003                                                  POINT (235.52 54.546)
1007                                     MULTIPOINT (1 1,1 3,6 3,10 5,20 1)
1009                                MULTIPOINT (10 20 30,40 50 60,70 80 80)
1010  MULTIPOINT (10.345 20.32 30.6,40.234 50.23 60.24,70.234 80.56 80.234)
 
>>> df.tail(5)
skey                                points
1008       MULTIPOINT (1.65 1.76,1.23 3.76,6.23 3.78,10.76 5.9,20.32 1.231)
1006                                           POINT (235.52 54.546 7.4564)
1007                                     MULTIPOINT (1 1,1 3,6 3,10 5,20 1)
1009                                MULTIPOINT (10 20 30,40 50 60,70 80 80)
1010  MULTIPOINT (10.345 20.32 30.6,40.234 50.23 60.24,70.234 80.56 80.234)
>>>