mirror of
https://github.com/wassname/geopandas.git
synced 2026-09-23 13:20:36 +08:00
Joris Van den Bossche
06650d5839
* DOC: make figures a bit larger in the docs * update some plot styles in docs to look nicer with new defaults
31 lines
1.1 KiB
ReStructuredText
31 lines
1.1 KiB
ReStructuredText
.. currentmodule:: geopandas
|
|
|
|
.. ipython:: python
|
|
:suppress:
|
|
|
|
import geopandas as gpd
|
|
|
|
|
|
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.
|
|
|
|
.. _pandas: http://pandas.pydata.org/pandas-docs/stable/indexing.html
|
|
|
|
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.
|
|
|
|
.. ipython:: python
|
|
|
|
world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
|
|
southern_world = world.cx[:, :0]
|
|
@savefig world_southern.png
|
|
southern_world.plot(figsize=(10, 3));
|
|
|