Plotting data on a Leaflet map (instead of GoogleMap), the easy way. A matplotlib-like interface to generate the HTML and javascript to render all the data you'd like on top of Leaflet. Several plotting methods make creating exploratory map views effortless. Here's a crash course:

from llplot import llplot

mapbox_token = "<your token>"
# Place map
gmap = llplot.LeafletPlotter(
    "https://{s}.tiles.mapbox.com/v4/mapbox.{mapid}/{z}/{x}/{y}@2x.png?"
    "access_token=" + mapbox_token,
    37.766956, -122.438481, 13
)

# Polygon
golden_gate_park_lats, golden_gate_park_lons = zip(*[
    (37.771269, -122.511015),
    (37.773495, -122.464830),
    (37.774797, -122.454538),
    (37.771988, -122.454018),
    (37.773646, -122.440979),
    (37.772742, -122.440797),
    (37.771096, -122.453889),
    (37.768669, -122.453518),
    (37.766227, -122.460213),
    (37.764028, -122.510347),
    (37.771269, -122.511015)
    ])
gmap.plot(golden_gate_park_lats, golden_gate_park_lons, 'cornflowerblue', edge_width=10)

# Marker
hidden_gem_lat, hidden_gem_lon = 37.770776, -122.461689
gmap.marker(hidden_gem_lat, hidden_gem_lon, 'cornflowerblue')

# Draw
gmap.draw("my_map.html")

This is a fork of gmplot to show a map using Leaflet instead of Google Maps (hence the name llplot). The main difference at creation is that it needs the base URL of the tiles you are going to display on leaflet.

NOTE: Not all the write functions have been migrated from Google Maps to Leaflet. Please check the open issues list if you want to contribute.

mapbox_token = "<your token>"
# Create map
map = llplot.LeafletPlotter(
    "https://{s}.tiles.mapbox.com/v4/mapbox.{mapid}/{z}/{x}/{y}@2x.png?"
    "access_token=" + mapbox_token,
    37.766956, -122.438481, 13
)

# Added three new optional arguments for draw:
# image_path: the path of an image to show before the map
# header and footer: html strings to draw before and after the map
map.draw("map.html",
         img_path="./images/image.png",
         header="This is the header",
         footer="<PRE>And the footer</pre>")

# Call to fit_bounds
# https://developers.google.com/maps/documentation/javascript/reference/map#Map.fitBounds
map.fit_bounds(north, east, south, west)

# also, by default if a marker has title it is shown as a pop-up

NOTE: NOT MIGRATE YET

llplot contains a simple wrapper around Google's geocoding service enabling map initilization to the location of your choice. Rather than providing latitude, longitude, and zoom level during initialization, grab your llplot instance with a location:

gmap = llplot.GoogleMapPlotter.from_geocode("San Francisco")

• Polygons with fills - plot # DONE
• Drop pins. - marker # DONE
• Scatter points. - scatter # TO DO
• Grid lines. - grid # TO DO
• Heatmaps. - heatmap # TO DO

Install easily with pip install git+https://github.com/StrolyCom/llplot.git#egg=llplot directly from this repo.

Inspired by Yifei Jiang's (jiangyifei@gmail.com) pygmaps module.

This is fork from the original repository by Michael Woods .. _vgm64: https://github.com/vgm64

This software is not being used commercially in any part of the platform, in any way. It was used as a part of visualization techniques experiments.