Summary

Licensing

I, the copyright holder of this work, hereby publish it under the following license:

This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.

You are free:

• to share – to copy, distribute and transmit the work
• to remix – to adapt the work

Under the following conditions:

• attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
• share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

https://creativecommons.org/licenses/by-sa/4.0CC BY-SA 4.0 Creative Commons Attribution-Share Alike 4.0 truetrue

Python source code

!apt-get install libgeos-dev
!pip install https://github.com/matplotlib/basemap/archive/master.zip
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import pandas

df = pandas.read_csv("https://pastebin.com/raw/Y97SQJzj", 
    # w:User:KatherineBusby2019/IWG locations
    sep='|')

plt.figure(figsize=(16,16))

m = Basemap(projection='merc',llcrnrlon=-170, llcrnrlat=-60,
    urcrnrlon=180, urcrnrlat=75)
m.drawmapboundary(fill_color='#A6CAE0', linewidth=0)
m.fillcontinents(color='#ffffff', lake_color='#A6CAE0')
m.drawstates(color='#c0c0c0')
m.drawcountries()

for row in df.itertuples():
    x, y = m(row.lon, row.lat)
    m.plot(x, y, linestyle='none', marker="o", 
        markersize=2, alpha=0.5, c="#ff0000")

plt.show()