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Name: OWSLib
Version: 0.16.0
Summary: OGC Web Service utility library
Home-page: http://geopython.github.io/OWSLib
Author: Tom Kralidis
Author-email: tomkralidis@gmail.com
License: BSD
Description-Content-Type: UNKNOWN
Description: OWSLib
======
OWSLib is a Python package for client programming with Open Geospatial
Consortium (OGC) web service (hence OWS) interface standards, and their
related content models.
Full documentation is available at http://geopython.github.io/OWSLib
OWSLib provides a common API for accessing service metadata and wrappers for
numerous OGC Web Service interfaces.
Dependencies
------------
OWSLib requires elementtree (standard in 2.5 as xml.etree) or lxml.
Usage
-----
Find out what a WMS has to offer. Service metadata::
>>> from owslib.wms import WebMapService
>>> wms = WebMapService('http://wms.jpl.nasa.gov/wms.cgi', version='1.1.1')
>>> wms.identification.type
'OGC:WMS'
>>> wms.identification.version
'1.1.1'
>>> wms.identification.title
'JPL Global Imagery Service'
>>> wms.identification.abstract
'WMS Server maintained by JPL, worldwide satellite imagery.'
Available layers::
>>> list(wms.contents)
['us_landsat_wgs84', 'modis', 'global_mosaic_base', 'huemapped_srtm',
'srtm_mag', 'daily_terra', 'us_ned', 'us_elevation', 'global_mosaic',
'daily_terra_ndvi', 'daily_aqua_ndvi', 'daily_aqua_721', 'daily_planet',
'BMNG', 'srtmplus', 'us_colordem', None, 'daily_aqua', 'worldwind_dem',
'daily_terra_721']
Details of a layer::
>>> wms['global_mosaic'].title
'WMS Global Mosaic, pan sharpened'
>>> wms['global_mosaic'].boundingBoxWGS84
(-180.0, -60.0, 180.0, 84.0)
>>> wms['global_mosaic'].crsOptions
['EPSG:4326', 'AUTO:42003']
>>> wms['global_mosaic'].styles
{'pseudo_bright': {'title': 'Pseudo-color image (Uses IR and Visual bands,
542 mapping), gamma 1.5'}, 'pseudo': {'title': '(default) Pseudo-color
image, pan sharpened (Uses IR and Visual bands, 542 mapping), gamma 1.5'},
'visual': {'title': 'Real-color image, pan sharpened (Uses the visual
bands, 321 mapping), gamma 1.5'}, 'pseudo_low': {'title': 'Pseudo-color
image, pan sharpened (Uses IR and Visual bands, 542 mapping)'},
'visual_low': {'title': 'Real-color image, pan sharpened (Uses the visual
bands, 321 mapping)'}, 'visual_bright': {'title': 'Real-color image (Uses
the visual bands, 321 mapping), gamma 1.5'}}
Available methods, their URLs, and available formats::
>>> [op.name for op in wms.operations]
['GetTileService', 'GetCapabilities', 'GetMap']
>>> wms.getOperationByName('GetMap').methods
{'Get': {'url': 'http://wms.jpl.nasa.gov/wms.cgi?'}}
>>> wms.getOperationByName('GetMap').formatOptions
['image/jpeg', 'image/png', 'image/geotiff', 'image/tiff']
That's everything needed to make a request for imagery::
>>> img = wms.getmap( layers=['global_mosaic'],
... styles=['visual_bright'],
... srs='EPSG:4326',
... bbox=(-112, 36, -106, 41),
... size=(300, 250),
... format='image/jpeg',
... transparent=True
... )
>>> out = open('jpl_mosaic_visb.jpg', 'wb')
>>> out.write(img.read())
>>> out.close()
A very similar API exists for WebFeatureService. See
tests/wfs_MapServerWFSCapabilities.txt for details.
There is also support for Web Coverage Service (WCS), Catalogue
Service for the Web (CSW), Web Processing Service (WPS), and Web
Map Tile Service (WMTS). Some of those are beta quality.
Logging
-------
OWSLib logs messages to the 'owslib' named python logger. You may
configure your application to use the log messages like so:
>>> import logging
>>> owslib_log = logging.getLogger('owslib')
>>> # Add formatting and handlers as needed
>>> owslib_log.setLevel(logging.DEBUG)
Support
-------
http://lists.osgeo.org/mailman/listinfo/owslib-users
http://lists.osgeo.org/mailman/listinfo/owslib-devel
Keywords: gis ogc iso 19115 fgdc dif ows wfs wms sos csw wps wcs capabilities metadata wmts
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: GIS
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