import pysal.lib
import geopandas as gpd
from pysal.viz import mapclassify as mc
columbus = gpd.read_file(pysal.lib.examples.get_path('columbus.shp'))
q5 = mc.Quantiles(columbus.CRIME, k=5)
q5
q5.plot(columbus)
q5.plot(columbus, axis_on=False)
q5.plot(columbus, axis_on=False, cmap='Blues')
f = q5.plot(columbus, axis_on=False, cmap='Blues')
f = q5.plot(columbus, axis_on=False, cmap='Blues', title='Columbus, OH')
f = q5.plot(columbus, axis_on=False, cmap='Blues', title='Columbus, OH', \
legend=True)
f = q5.plot(columbus, axis_on=False, cmap='Blues', title='Columbus, OH', \
legend=True, legend_kwds={'loc':'upper right'})
f = q5.plot(columbus, axis_on=False, cmap='Blues', title='Columbus, OH', \
legend=True, legend_kwds={'loc':'upper left', 'title': 'Crime Rate'})
f = q5.plot(columbus, axis_on=False, cmap='Blues', title='Columbus, OH', \
legend=True, legend_kwds={'loc':'upper left', 'title': 'Crime Rate'}, \
file_name='crime.png')
f = q5.plot(columbus, axis_on=False, cmap='Blues', title='Columbus, OH', \
legend=True, legend_kwds={'loc':'upper left', 'title': 'Crime Rate, 1988'}, \
file_name='crime.png', border_color='green', border_width=2.0)