Plotting data on the interactive maps, IPython Notebook friendly.
A library for plotting data on the map.
To install PyGeoPlot just clone the repository and run setup.py
.
$ git clone https://github.com/romovpa/pygeoplot.git
$ cd pygeoplot
$ python setup.py install
import pygeoplot as gp
m = gp.Map()
To see empty map in your Notebook say display()
:
m.display()
You can specify size of the map container and even make it resizeable (by dragging the lower right corner):
m.display(width=600, height=300, resizeable=True)
points = [
(55.864414, 37.401979),
(55.575286, 37.635438),
(55.845875, 37.801606),
(55.665433, 37.426698),
(55.685610, 37.830446),
(55.864414, 37.401979),
]
m.add_line(line_points, color="#FF0000", width=10, opacity=0.6)
center_point = (55.72, 37.64)
m.set_state(center_point, zoom=12)
m.add_placemark((55.702770, 37.529184),
hint='Alma Mater', content='Moscow State University')
m.add_placemark((55.711552, 37.621861),
hint='The Center of the pentagram')
The content
could contain any valid HTML:
m.add_placemark((55.711552, 37.621861), hint='A Cat',
content='<img width=300 height=200 src="http://www.findcatnames.com/wp-content/uploads/2014/09/453768-cats-cute.jpg" />')
You can visualize a set of geo-points with heatmap. The feature is implemented by using Yandex Maps API Heatmap Module.
points = [
(55.864414, 37.401979),
...
]
m.add_heatmap(heatmap_points)
Moscow CCTV cameras demo contains an example of the heatmap of the real data.
After completing your visualization, you could write it into stand-alone HTML file and share with colleagues.
m.save_html('map_with_data.html')
An example of exported HTML from CCTV demo: ipynb/demo-moscow-cctv-heatmap.html.