Analyzing Social Media Data in Python
Alex Hanna
Computational Social Scientist
from mpl_toolkits.basemap import Basemap
m = Basemap(projection='merc', llcrnrlat = -35.62, llcrnrlon = -17.29, urcrnrlat = 37.73, urcrnrlon = 51.39)
m.fillcontinents(color='white') m.drawcoastlines(color='gray') m.drawcountries(color='gray')
africa = pd.read_csv('africa.csv') longs = africa['CapitalLongtiude'] lats = africa['CapitalLatitude']
m = Basemap(...)
m.fillcontinents(color='white', zorder = 0) m.drawcoastlines(color='gray') m.drawcountries(color='gray')
m.scatter(longs.values, lats.values, latlon = True, alpha = 0.7)
africa = pd.read_csv('africa.csv') longs = africa['CapitalLongtiude'] lats = africa['CapitalLatitude'] arabic = africa['Arabic'] m = Basemap(...) m.fillcontinents(color='white', zorder = 0) m.drawcoastlines(color='gray') m.drawcountries(color='gray')
m.scatter(longs.values, lats.values, latlon = True, c = arabic.values, cmap = 'Paired', alpha = 1)
Analyzing Social Media Data in Python