def drawmap(self):
"""
Multiple examples of kernel density estimation visualization
"""
data = self.get_dao_object()
# geoplotlib.kde(data, bw=5, cut_below=1e-4)
# lowering clip_above changes the max value in the color scale
# geoplotlib.kde(data, bw=5, cut_below=1e-4, clip_above=.1)
# different bandwidths
geoplotlib.kde(data, bw=20, cmap=self.cmap, cut_below=1e-4)
# geoplotlib.kde(data, bw=2, cmap='PuBuGn', cut_below=1e-4)
# linear colorscale
# geoplotlib.kde(data, bw=5, cmap='jet', cut_below=1e-4, scaling='lin')
geoplotlib.set_bbox(BoundingBox.from_nominatim('CHINA'))
geoplotlib.savefig(self.ouput_filename)
"""
Multiple examples of kernel density estimation visualization
"""
import geoplotlib
from geoplotlib.utils import read_csv, BoundingBox, DataAccessObject
data = read_csv('data/opencellid_dk.csv')
#geoplotlib.kde(data, bw=5, cut_below=1e-4)
# lowering clip_above changes the max value in the color scale
#geoplotlib.kde(data, bw=5, cut_below=1e-4, clip_above=.1)
# different bandwidths
geoplotlib.kde(data, bw=20, cmap='OrRd', cut_below=1e-4)
#geoplotlib.kde(data, bw=2, cmap='PuBuGn', cut_below=1e-4)
# linear colorscale
#geoplotlib.kde(data, bw=5, cmap='jet', cut_below=1e-4, scaling='lin')
geoplotlib.set_bbox(BoundingBox.from_nominatim('CHINA'))
geoplotlib.savefig('full.png')
geoplotlib.show()
