Files
geopandas/doc/source/io.rst
T

36 lines
1.7 KiB
ReStructuredText

.. _io:
Reading and Writing Files
=========================================
Reading Spatial Data
---------------------
*geopandas* can read almost any vector-based spatial data format including ESRI shapefile, GeoJSON files and more using the command::
gpd.read_file()
which returns a GeoDataFrame object. (This is possible because *geopandas* makes use of the great `fiona <http://toblerity.org/fiona/manual.html>`_ library, which in turn makes use of a massive open-source program called `GDAL/OGR <http://www.gdal.org/>`_ designed to facilitate spatial data transformations).
Any arguments passed to ``read_file()`` after the file name will be passed directly to ``fiona.open``, which does the actual data importation. In general, ``read_file`` is pretty smart and should do what you want without extra arguments, but for more help, type::
import fiona; help(fiona.open)
Among other things, one can explicitly set the driver (shapefile, GeoJSON) with the ``driver`` keyword, or pick a single layer from a multi-layered file with the ``layer`` keyword.
Where supported in ``fiona``, *geopandas* can also load resources directly from
a web URL, for example for GeoJSON files from `geojson.xyz <http://geojson.xyz/>`_::
url = "http://d2ad6b4ur7yvpq.cloudfront.net/naturalearth-3.3.0/ne_110m_land.geojson"
df = gpd.read_file(url)
*geopandas* can also get data from a PostGIS database using the ``read_postgis()`` command.
Writing Spatial Data
---------------------
GeoDataFrames can be exported to many different standard formats using the ``GeoDataFrame.to_file()`` method. For a full list of supported formats, type ``import fiona; fiona.supported_drivers``.