Python Basics and Maps

Well you can achieve alot from a little code.

import geopandas
import geoplot
world = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))
world.boundary.plot();
import geopandas as gpd
import geoplot
world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
uk =  world[world.name == "United Kingdom"]
uk.boundary.plot();

OK that was exciting enough but it can quickly get better. This is nothing clever from me, this is an example from matplotlib.org

#!/usr/bin/env python3
import numpy as np
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
from datetime import datetime
map = Basemap(projection='mill',lon_0=180)
map.drawcoastlines()
map.drawparallels(np.arange(-90,90,30),labels=[1,0,0,0])
map.drawmeridians(np.arange(map.lonmin,map.lonmax+30,60),labels=[0,0,0,1])
# fill continents 'coral' (with zorder=0), color wet areas 'aqua'
map.drawmapboundary(fill_color='aqua')
map.fillcontinents(color='coral',lake_color='aqua')
date = datetime.utcnow()
CS=map.nightshade(date)
plt.title('Day/Night Map for %s (UTC)' % date.strftime("%d %b %Y %H:%M:%S"))
plt.show()

I combined two examples I found. One to get the co-ordinates of the International Space Station, and one which plots a section of the world based on co-ordinates.

#!/usr/bin//env python3
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import requests
import time
from math import *
iss_lat = iss_lan = 0

def get_iss_position():
    # Get current ISS position
    req_iss = requests.get('http://api.open-notify.org/iss-now.json')
    dict = req_iss.json()
    lat_lng = dict['iss_position']
    # save the current ISS  possition in new variables
    lat_iss = float(lat_lng['latitude'])
    lng_iss = float(lat_lng['longitude'])
    return lat_iss, lng_iss

iss_lat, iss_lon = get_iss_position()
m = Basemap(width=12000000,height=9000000,projection='lcc',
	 resolution=None,lat_1=45.,lat_2=55,lat_0=iss_lat,lon_0=iss_lon)
xpt, ypt = m(iss_lon, iss_lat)
m.plot(xpt,ypt, 'ro')
plt.text(xpt+100000,ypt+100000,'ISS (%5.1f Lon,%3.1f Lat)' % (iss_lon,iss_lat))
m.etopo()
plt.show()

Plotting the location of the International Space Station

OK how can this be turned to add value to System Administration? Well we could plot the location of IP’s coming into our websites.