Plot the unique download locations for the tutorial on the world map

ipAddressTutorial.py

# coding=utf-8
from geoip import geolite2
from collections import Counter
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap



with open(r'/home/sarith/Desktop/ips.txt') as somefile:
    data = somefile.read().split()


uniqueAddresses = set(data)
counter =0
countries = []

latList = []
longList = []
for val in uniqueAddresses:
    location = geolite2.lookup(val)
    if location is not None and location.country is not None:
        locData = str(location).split()
        country,long,Lat = locData[2],locData[-2],locData[-1]
        country = country.replace("country='",'').replace("'","")
        long = float(long.replace("location=(","").replace(",",'').strip())
        Lat = float(Lat.replace(")>","").strip())

        latitude,longitude = long,Lat
        countries.append(country)


        latList.append(latitude)
        longList.append(longitude)



print(Counter(countries))

# determine range to print based on min, max lat and lon of the data
margin = 2 # buffer to add to the range
lat_min = min(latList) - margin
lat_max = max(latList) + margin
lon_min = min(longList) - margin
lon_max = max(longList) + margin

# create map using BASEMAP
m = Basemap(llcrnrlon=lon_min,
            llcrnrlat=lat_min,
            urcrnrlon=lon_max,
            urcrnrlat=lat_max,
            lat_0=(lat_max - lat_min)/2,
            lon_0=(lon_max-lon_min)/2,
            projection='merc',
            resolution = 'h',
            area_thresh=10000.,
            )
m.drawcoastlines()
m.drawcountries()
m.drawstates()
m.drawmapboundary(fill_color='#add8e6')
m.fillcontinents(color = 'white',lake_color='#add8e6')
# convert lat and lon to map projection coordinates
lons, lats = m(longList, latList)
# plot points as red dots
m.scatter(lons, lats, marker = '.', color='r', zorder=5)
plt.savefig(r'/home/sarith/Desktop/downloads.png')