There are numerous ways you can draw geographical coordinates on Google Maps. However, in case you want to save it in a local file, one better way to accomplish is through a python module called gmplot.
Python library gmplot allows us to plot data on google maps. gmplot has a matplotlib-like interface to generate the HTML and javascript to deliver all the additional data on top of Google Maps.
Installation
It is easy to install gmplot using pip incase gmplot is not already installed −
pip install gmplot
On running above command, you may see output something like −
From above, we can see the latest gmplot-1.2.0 version is installed onto our computer.
gmplot library has several plotting methods to create exploratory maps views very simple. Gmplot is very flexible to create google map as we can use it to generate html directly.
Below are different ways to accomplish it −
Case1 − To create the base map using gmplot
If you want to place the map to a particular location you need to write the latitude-longitude value of that location and the zoom resolution.
# Import gmplot library. from gmplot import * # Place map # First two arugments are the geogrphical coordinates .i.e. Latitude and Longitude #and the zoom resolution. gmap = gmplot.GoogleMapPlotter(17.438139, 78.39583, 18) # Location where you want to save your file. gmap.draw( "C:\\Users\\rajesh\\Desktop\\map11.html" )
Output1
Note − Above screen display we see this because Google Maps service is not free now in case you are accessing through an API. You need to add your API_KEY to see a better google map view. Below is the code to accomplish this −
Case 1 (with GOOGLE_API_KEY added)
To create the base map using gmplot
# Import gmplot library. from gmplot import * # Place map # First two arugments are the geogrphical coordinates .i.e. Latitude and Longitude #and the zoom resolution. gmap=gmplot.GoogleMapPlotter(17.438139, 78.39583, 18) # Because google maps is not a free service now, you need to get an api key. Else commenting # below line you will see the maps with "For Development Purpose Only" on the screen and maps # with low resolution. #gmap.apikey = "Your_API_KEY" gmap.apikey = "AIzaSyDeRNMnZ__VnQDiATiuz4kPjF_c9r1kWe8" # Location where you want to save your file. gmap.draw( "C:\\Users\\rajesh\\Desktop\\map11.html" )
Note − You need to add google maps API key(‘Your_API_KEY’) & set it equals to gmap.apikey. Below output is coming because I use my own key, which you can also get from the below link −
https://developers.google.com/maps/documentation/embed/get-api-key
Output 1
Case 2 − Drawing a polygon on google map
# import gmplot package import gmplot latitude_list = [ 17.4567417, 17.5587901, 17.6245545] longitude_list = [ 78.2913637, 78.007699, 77.9266135 ] gmap = gmplot.GoogleMapPlotter(17.438139, 78.3936413, 11) gmap.scatter( latitude_list, longitude_list, '# FF0000', size = 40, marker = False) # polygon method Draw a polygon with # the help of coordinates gmap.polygon(latitude_list, longitude_list, color = 'cornflowerblue') gmap.apikey = "Your_API_KEY" gmap.draw( "C:\\Users\\rajesh\\Desktop\\map3.html" )
Output 2
Case 3 − Scatter points on google map and draw a line in between given coordinates.
# import gmplot package import gmplot #Set different latitude and longitude points Charminar_top_attraction_lats, Charminar_top_attraction_lons = zip(*[ (17.3833, 78.4011),(17.4239, 78.4738),(17.3713, 78.4804),(17.3616, 78.4747), (17.3578, 78.4717),(17.3604, 78.4736),(17.2543, 78.6808),(17.4062, 78.4691), (17.3950, 78.3968),(17.3587, 78.2988),(17.4156, 78.4750)]) #declare the center of the map, and how much we want the map zoomed in gmap3 = gmplot.GoogleMapPlotter(17.3616, 78.4747, 13) # Scatter map gmap3.scatter( Charminar_top_attraction_lats, Charminar_top_attraction_lons, '#FF0000',size = 50, marker = False ) # Plot method Draw a line in between given coordinates gmap3.plot(Charminar_top_attraction_lats, Charminar_top_attraction_lons, 'cornflowerblue', edge_width = 3.0) #Your Google_API_Key gmap.apikey = " API_Key” # save it to html gmap3.draw(r"c:\users\rajesh\desktop\maps\scatter.html")
Output 3
Case 4: Heatmap and scatter in one graph to represent the earthquakes.
#Import important libraries import gmplot import numpy as np # generate 700 random lats and lons latitude = (np.random.random_sample(size = 700) - 0.5) * 180 longitude = (np.random.random_sample(size = 700) - 0.5) * 360 # declare the center of the map, and how much we want the map zoomed in gmap = gmplot.GoogleMapPlotter(0, 0, 2) # plot heatmap gmap.heatmap(latitude, longitude) gmap.scatter(latitude, longitude, c='r', marker=True) #Your Google_API_Key gmap.apikey = " Your_Google_API_Key " # save it to html gmap.draw(r"c:\users\rajesh\desktop\maps\country_heatmap.html")
Output
