{ "info": { "author": "Alex Preng\u00e8re", "author_email": "geobases.dev@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Console", "Environment :: Web Environment", "Intended Audience :: Developers", "Intended Audience :: End Users/Desktop", "Intended Audience :: Information Technology", "Intended Audience :: Science/Research", "Intended Audience :: System Administrators", "License :: Free for non-commercial use", "Operating System :: POSIX", "Operating System :: POSIX :: Linux", "Operating System :: Unix", "Programming Language :: JavaScript", "Programming Language :: Python", "Programming Language :: Python :: 3.0", "Programming Language :: Python :: 3.1", "Programming Language :: Python :: 3.2", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: Implementation :: CPython", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Visualization", "Topic :: Software Development :: Libraries :: Python Modules", "Topic :: Terminals" ], "description": "GeoBases |travis|_ |cratev|_ |crated|_\n======================================\n\n.. _travis : https://travis-ci.org/opentraveldata/geobases\n.. |travis| image:: https://api.travis-ci.org/opentraveldata/geobases.png?branch=3000\n\n.. _crated : https://crate.io/packages/GeoBases3K\n.. |crated| image:: https://pypip.in/d/GeoBases3K/badge.png\n\n.. _cratev : https://crate.io/packages/GeoBases3K\n.. |cratev| image:: https://pypip.in/v/GeoBases3K/badge.png\n\nIntroduction\n------------\n\nThis project provides tools to play with geographical\ndata. It also works with non-geographical data, except for map visualizations :).\n\nThere are embedded data sources in the project,\nbut you can easily play with your own data in addition to the available ones.\nAfter data loading, you can:\n\n- perform various types of queries (find *this key*, or find keys with *this property*)\n- make *fuzzy searches* based on string distance (find things roughly *named like this*)\n- make *phonetic searches* (find things *sounding like this*)\n- make *geographical searches* (find things *next to this place*)\n- get results on a map, or on a graph, or export it as csv data, or as a Python object\n\nThis is entirely written in Python. The core part is a Python package,\nbut there is a command line tool as well! Get it with *easy_install*,\nthen you can see where are airports with *international* in their name:\n\n.. code-block:: bash\n\n $ GeoBase --fuzzy international --map\n\n.. figure:: https://raw.github.com/opentraveldata/geobases/public/examples/GeoBases-map-points.png\n :align: center\n\nYou can perform all types of queries:\n\n.. code-block:: bash\n\n $ GeoBase --base cities --fuzzy \"san francisko\" # typo here :)\n\nOf course, you can use your own data for map display:\n\n.. code-block:: bash\n\n $ cat coords.csv\n p1,48.22,2.33\n p2,49.33,2.24\n $ cat coords.csv | GeoBase --map\n\nAnd for every other thing as well:\n\n.. code-block:: bash\n\n $ cat edges.csv\n A,B\n A,C\n D,A\n $ cat edges.csv | GeoBase --graph\n\n.. figure:: https://raw.github.com/opentraveldata/geobases/public/examples/GeoBases-graph.png\n :align: center\n\nAdministrate the data sources:\n\n.. code-block:: bash\n\n $ GeoBase --admin\n\nWe are currently gathering input from the community to define the next version features, so do not hesitate to open issues on the `github page `_.\n\nDocumentation\n-------------\n\nHere are some useful links:\n\n- the `API documentation `_ for the Python package\n- the `wiki pages `_ for any question!\n- the `twitter account `_ for the latest news\n\nInstallation\n------------\n\nPrerequisites\n~~~~~~~~~~~~~\n\nThese prerequisites are very standard packages which are often installed\nby default on Linux distributions. But make sure you have them anyway.\n\nFirst you need to install *setuptools* (as *root*):\n\n.. code-block:: bash\n\n $ apt-get install python-setuptools # for debian\n $ yum install python-setuptools.noarch # for fedora\n\nThen you need some basics compilation stuff to compile dependencies (also as *root*):\n\n.. code-block:: bash\n\n $ apt-get install python-dev g++ # for debian\n $ yum install python-devel gcc-c++ # for fedora\n\nFrom PyPI\n~~~~~~~~~\n\nYou can install it from `PyPI `_:\n\n.. code-block:: bash\n\n $ easy_install --user -U GeoBases\n\nThere is a development version also on `PyPI (dev) `_:\n\n.. code-block:: bash\n\n $ easy_install --user -U GeoBasesDev\n\nFrom Github\n~~~~~~~~~~~\n\nYou can clone the project from\n`github `_:\n\n.. code-block:: bash\n\n $ git clone https://github.com/opentraveldata/geobases.git\n\nThen install the package and its dependencies:\n\n.. code-block:: bash\n\n $ cd geobases\n $ python setup.py install --user # for user space\n\nFinal steps\n~~~~~~~~~~~\n\nA script is put in ``~/.local/bin``, to be able to use it, put\nthat in your ``~/.bashrc`` or ``~/.zshrc``:\n\n.. code-block:: bash\n\n export PATH=$PATH:$HOME/.local/bin\n export BACKGROUND_COLOR=black # or 'white', your call\n\nIf you use zsh and want to get awesome *autocomplete* for the main script, add this to\nyour ``~/.zshrc``:\n\n.. code-block:: bash\n\n # Add custom completion scripts\n fpath=(~/.zsh/completion $fpath)\n autoload -U compinit\n compinit\n\n\nPython 3 and Pypy support\n~~~~~~~~~~~~~~~~~~~~~~~~~\n\nThere is *Python 3* and *Pypy* support, you can try it\nby *changing branch* before installation.\n\nFor Python 3, you have to install *setuptools* and *python3-dev* as prerequisites, then:\n\n.. code-block:: bash\n\n $ git checkout 3000\n $ python3 setup.py install --user\n\nYou can also install the package for Python 3 from `PyPI (3K) `_:\n\n.. code-block:: bash\n\n $ easy_install-3.2 --user -U GeoBases3K\n\nFor Pypy, after *pypy* and *pypy-dev* installation:\n\n.. code-block:: bash\n\n $ git checkout pypy\n $ sudo pypy setup.py install\n\nYou can also install the package for Pypy from `PyPI (pypy) `_:\n\n.. code-block:: bash\n\n $ easy_install --user -U GeoBasesPypy\n\nTests\n~~~~~\n\nRun the tests:\n\n.. code-block:: bash\n\n $ python test/test_GeoBases.py -v\n\nQuickstart\n----------\n\n.. code-block:: python\n\n >>> from GeoBases import GeoBase\n >>> geo_o = GeoBase(data='ori_por', verbose=False)\n >>> geo_a = GeoBase(data='airports', verbose=False)\n >>> geo_t = GeoBase(data='stations', verbose=False)\n\nYou can provide other values for the *data* parameter.\nAll data sources are documented in a `single YAML file `_:\n\n- *data=\"ori\\_por\"* will load a local version of\n `this file `_,\n this is the most complete source for airports, use it!\n- *data=\"airports\"* will use geonames as data source for airports\n- *data=\"stations\"* will use RFF data, from `the open data\n website `_, as data source for french train\n stations\n- *data=\"stations\\_nls\"* will use NLS nomenclature as data source for\n french train stations\n- *data=\"stations\\_uic\"* will use UIC nomenclature as data source for\n french train stations\n- *data=\"countries\"* will load data on countries\n- *data=\"capitals\"* will load data on countries capitals\n- *data=\"continents\"* will load data on continents\n- *data=\"timezones\"* will load data on timezones\n- *data=\"languages\"* will load data on languages\n- *data=\"cities\"* will load data on cities, extracted from geonames\n- *data=\"currencies\"* will load data on currencies, extracted from\n wikipedia\n- *data=\"airlines\"* will load data on airlines, extracted from\n `that file `_\n- *data=\"cabins\"* will load data on cabins\n- *data=\"regions\"* will load data on regions\n- *data=\"locales\"* will load data on locales\n- *data=\"location\\_types\"* will load data on location types\n- *data=\"feature\\_classes\"* will load data on feature classes\n- *data=\"feature\\_codes\"* will load data on feature codes\n- *data=\"ori\\_por\\_non\\_iata\"* will load some non-iata data excluded\n from *ori\\_por*\n- *data=\"geonames\\_MC\"* will load MC data of geonames\n- *data=\"geonames\\_FR\"* will load FR data of geonames\n- *data=\"postal\\_codes\\_MC\"* will load MC postal codes data\n- *data=\"postal\\_codes\\_FR\"* will load FR postal codes data\n- *data=\"feed\"* will create an empty instance\n\nAll features are unaware of the underlying data, and are available as long as\nthe headers are properly set in the configuration file, or from the `Python API `_.\nFor geographical features, you have to name the latitude field ``lat``, and the\nlongitude field ``lng``.\n\nFeatures\n--------\n\nInformation access\n~~~~~~~~~~~~~~~~~~\n\n.. code-block:: python\n\n >>> geo_o.get('CDG', 'city_code')\n 'PAR'\n >>> geo_o.get('BRU', 'name')\n 'Bruxelles National'\n >>> geo_t.get('frnic', 'name')\n 'Nice-Ville'\n >>> geo_t.get('fr_not_exist', 'name', default='NAME')\n 'NAME'\n\nYou can put your own data in a ``GeoBase`` class, either by loading\nyour own file when creating the instance, or by creating an empty instance\nand using the ``set`` method.\n\nFind things with properties\n~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code-block:: python\n\n >>> conditions = [('city_code', 'PAR'), ('location_type', ('H',))]\n >>> list(geo_o.findWith(conditions, mode='and'))\n [(2, 'JDP'), (2, 'JPU')]\n >>>\n >>> conditions = [('city_code', 'PAR'), ('city_code', 'LON')]\n >>> len(list(geo_o.findWith(conditions, mode='or')))\n 33\n\nDistance computation\n~~~~~~~~~~~~~~~~~~~~\n\n.. code-block:: python\n\n >>> geo_o.distance('CDG', 'NCE')\n 694.5162...\n\nFind things near a geocode\n~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code-block:: python\n\n >>> # Paris, airports <= 40km\n >>> [k for _, k in sorted(geo_a.findNearPoint((48.84, 2.367), 40))]\n ['ORY', 'LBG', 'TNF', 'CDG']\n >>>\n >>> # Nice, stations <= 4km\n >>> iterable = geo_t.findNearPoint((43.70, 7.26), 4)\n >>> [geo_t.get(k, 'name') for _, k in iterable]\n ['Nice-Ville', 'Nice-St-Roch', 'Nice-Riquier']\n\nFind things near another thing\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code-block:: python\n\n >>> sorted(geo_a.findNearKey('ORY', 50)) # Orly, airports <= 50km\n [(0.0, 'ORY'), (18.8..., 'TNF'), (27.8..., 'LBG'), (34.8..., 'CDG')]\n >>>\n >>> sorted(geo_t.findNearKey('frnic', 3)) # Nice station, <= 3km\n [(0.0, 'frnic'), (2.2..., 'fr4342'), (2.3..., 'fr5737')]\n\nFind closest things from a geocode\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code-block:: python\n\n >>> list(geo_a.findClosestFromPoint((43.70, 7.26))) # Nice\n [(5.82..., 'NCE')]\n >>>\n >>> list(geo_a.findClosestFromPoint((43.70, 7.26), N=3)) # Nice\n [(5.82..., 'NCE'), (30.28..., 'CEQ'), (79.71..., 'ALL')]\n\nApproximate name matching\n~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code-block:: python\n\n >>> geo_t.fuzzyFind('Marseille Charles', 'name')[0]\n (0.8..., 'frmsc')\n >>> geo_a.fuzzyFind('paris de gaulle', 'name')[0]\n (0.78..., 'CDG')\n\nMap display\n~~~~~~~~~~~\n\n.. code-block:: python\n\n >>> geo_t.visualize()\n * Added lines for duplicates linking, total 0\n * Could not detect geocode support in join fields.\n > Affecting category None to color blue | volume 3190\n \n * Now you may use your browser to visualize:\n ./example_map.html ./example_table.html\n \n * If you want to clean the temporary files:\n rm ./example_map.json ...\n \n (['map', 'table'], (['./example_map.html', './example_table.html'], ['./example_map.json', ...]))\n\n.. figure:: https://raw.github.com/opentraveldata/geobases/public/examples/GeoBases-map-circles.png\n :align: center\n\n\nStandalone script\n-----------------\n\nInstallation of the package will also deploy a standalone script named ``GeoBase``:\n\n.. code-block:: bash\n\n $ GeoBase ORY CDG # query on the keys ORY and CDG\n $ GeoBase --closest CDG # closest from CDG\n $ GeoBase --near LIG # near LIG\n $ GeoBase --fuzzy marseille # fuzzy search on 'marseille'\n $ GeoBase --admin # to administrate data sources\n $ GeoBase --ask # interactive learning mode\n $ GeoBase --help # your best friend\n\n.. figure:: https://raw.github.com/opentraveldata/geobases/public/examples/GeoBases-CLI.png\n :align: center\n\nIn the previous picture, you have an overview of the command line verbose display.\nThree displays are available for the command line tool:\n\n- the verbose display\n- the csv display with ``--quiet``\n- the map display with ``--map``\n- the graph display with ``--graph``\n\nWith the verbose display, entries are displayed on each column,\nand the available fields on each line. Fields starting with ``__`` like ``__field__`` are\nspecial. This means they were added during data loading:\n\n- ``__key__`` is the field containing the *id* of the entry. Ids are defined with a list of fields\n in the configuration file.\n- ``__dup__`` is the field containing a list of duplicated keys. Indeed there is mechanism\n handling duplicated keys by default, which creates new keys if the key already exists in the\n ``GeoBase``.\n- ``__par__`` is the field containing the parent key if the key is duplicated.\n- ``__lno__`` is the field containing the line number during loading.\n- ``__gar__`` is the field containing the data which was not loaded on the line (this can be because\n the line was not well formatted, or because there were missing headers).\n\nMore examples here, for example how to do a search on a field, like admin\\_code (``B8`` is french riviera):\n\n.. code-block:: bash\n\n $ GeoBase -E adm1_code -e B8\n\nSame with csv output (customized with ``--show``):\n\n.. code-block:: bash\n\n $ GeoBase -E adm1_code -e B8 --quiet --show __ref__ iata_code name\n\nAdd a fuzzy search:\n\n.. code-block:: bash\n\n $ GeoBase -E adm1_code -e B8 --fuzzy sur mer\n\nAll heliports under 200 km from Paris:\n\n.. code-block:: bash\n\n $ GeoBase --near PAR -N 200 -E location_type@raw -e 'H'\n\n50 train stations closest to a specific geocode:\n\n.. code-block:: bash\n\n $ GeoBase -E location_type@raw -e R --closest '48.853, 2.348' -C 50\n\nCountries with non-empty postal code regex:\n\n.. code-block:: bash\n\n $ GeoBase -b countries -E postal_code_regex -e '' --reverse --quiet\n\nReading data input on stdin:\n\n.. code-block:: bash\n\n $ echo -e 'ORY^Orly\\nCDG^Charles' | GeoBase\n\nDisplay on a map:\n\n.. code-block:: bash\n\n $ GeoBase -b stations --map\n\nMarker-less map for a specific GMT offset:\n\n.. code-block:: bash\n\n $ GeoBase -E gmt_offset -e 1.0 --map -M _ _ country_code __none__\n\nDisplay your data on a map:\n\n.. code-block:: bash\n\n $ cat coords.csv\n p1,48.22,2.33\n p2,49.33,2.24\n $ cat coords.csv | GeoBase --map\n\nDisplay your data on a graph:\n\n.. code-block:: bash\n\n $ cat edges.csv\n A,B\n A,C\n D,A\n $ cat edges.csv | GeoBase --graph\n\n\nPackaging\n---------\n\nThe ``MANIFEST.in`` file is used to determine which files will be\nincluded in a source distribution.\n``package_data`` directive in ``setup.py`` file is about which file will\nbe exported in site-package after installation.\nSo you really need both if you want to produce installable packages like\nrpms or zip which can be installed afterwards.\n\nYou will also find a `Rakefile `_ at the\nroot of the project. This can be used to build and deploy the packages.\nDeployment can be done using webdav, and the Rakefile expects ``nd`` to be\ninstalled (this is a webdav client).\nTo install ``nd``, fetch the `sources `_ and compile them.\n\nVirtualenv still has some bugs on 64 bits systems, if you are using such a system,\nyou absolutely need to upgrade to the very last unreleased version of\nvirtualenv, before executing rake:\n\n.. code-block:: bash\n\n $ pip uninstall virtualenv\n $ pip install https://github.com/pypa/virtualenv/tarball/develop", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://opentraveldata.github.com/geobases", "keywords": null, "license": "Creative Commons\n\nAttribution-ShareAlike 3.0 Unported\n\nCREATIVE COMMONS CORPORATION IS NOT A LAW FIRM AND DOES NOT PROVIDE LEGAL SERVICES. DISTRIBUTION OF THIS LICENSE DOES NOT CREATE AN ATTORNEY-CLIENT RELATIONSHIP. 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