# Indexing and Selecting Data

GeoPandas inherits the standard `pandas` methods for indexing/selecting data. This includes label based indexing with `.loc` and integer position based indexing with `.iloc`, which apply to both `GeoSeries` and `GeoDataFrame` objects. For more information on indexing/selecting, see the pandas documentation.

In addition to the standard `pandas` methods, GeoPandas also provides coordinate based indexing with the `cx` indexer, which slices using a bounding box. Geometries in the `GeoSeries` or `GeoDataFrame` that intersect the bounding box will be returned.

Using the `world` dataset, we can use this functionality to quickly select all countries whose boundaries extend into the southern hemisphere.

    In [1]: world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))

    In [2]: southern_world = world.cx[:, :0]

    In [3]: southern_world.plot(figsize=(10, 3));