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Martin Fleischmann
953753896a
* use pydata theme * structure * fix links * adapt colors * getting started * buttons * buttons * rename, use myst, fill stuff * myst to env * cleanup * covered_by * review comments * fix link * use api
31 lines
1.1 KiB
ReStructuredText
31 lines
1.1 KiB
ReStructuredText
.. currentmodule:: geopandas
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.. ipython:: python
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:suppress:
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import geopandas
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Indexing and Selecting Data
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===========================
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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.
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.. _pandas: http://pandas.pydata.org/pandas-docs/stable/indexing.html
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In addition to the standard ``pandas`` methods, GeoPandas also provides
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coordinate based indexing with the ``cx`` indexer, which slices using a bounding
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box. Geometries in the ``GeoSeries`` or ``GeoDataFrame`` that intersect the
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bounding box will be returned.
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Using the ``world`` dataset, we can use this functionality to quickly select all
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countries whose boundaries extend into the southern hemisphere.
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.. ipython:: python
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world = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))
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southern_world = world.cx[:, :0]
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@savefig world_southern.png
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southern_world.plot(figsize=(10, 3));
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