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()