{ "info": { "author": "Avijit Ghosh", "author_email": "avijitg22@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "aviplot\n======\n\nPlotting data on Google Maps, the easy way. A matplotlib-like\ninterface to generate the HTML and javascript to render all the\ndata you'd like on top of Google Maps. Several plotting methods\nmake creating exploratory map views effortless. Here's a crash course:\n\n::\n\n import aviplot\n\n gmap = aviplot.GoogleMapPlotter(37.428, -122.145, 16)\n\n gmap.plot(latitudes, longitudes, 'cornflowerblue', edge_width=10)\n gmap.scatter(more_lats, more_lngs, '#3B0B39', size=40, marker=False)\n gmap.scatter(marker_lats, marker_lngs, 'k', marker=True)\n gmap.heatmap(heat_lats, heat_lngs)\n\n gmap.draw(\"mymap.html\")\n\n\nGeocoding\n---------\n\n``aviplot`` contains a simple wrapper around Google's geocoding service enabling\nmap initilization to the location of your choice. Rather than providing latitude,\nlongitude, and zoom level during initialization, grab your aviplot instance with\na location:\n\n::\n\n gmap = aviplot.from_geocode(\"San Francisco\")\n\nPlot types\n----------\n\n* Polygons with fills.\n* Drop pins.\n* Scatter points.\n* Grid lines.\n* Heatmaps.\n\n.. image:: http://i.imgur.com/dTNkbZ7.png\n\nMisc.\n-----\n\nCode hosted on `GitHub `_\n\nInstall easily with ``pip install aviplot`` from PyPI.\n\nInspired by Yifei Jiang's (jiangyifei@gmail.com) pygmaps_ module.\n\n.. _pygmaps: http://code.google.com/p/pygmaps/", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/AvijitGhosh82/aviplot", "keywords": "python wrapper google maps", "license": "MIT", "maintainer": null, "maintainer_email": null, "name": "aviplot", "package_url": "https://pypi.org/project/aviplot/", "platform": "UNKNOWN", "project_url": 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