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1. 瀵煎叆蹇呰鐨勫簱

from bokeh.plotting import figure, show
from bokeh.tile_providers import get_provider
from bokeh.io import output_notebook
from bokeh.models import ColumnDataSource

2. 鍒涘缓鍦板浘

output_notebook()

# 璁剧疆鍦板浘鑼冨洿
x_range = (xmin, xmax)
y_range = (ymin, ymax)

# 鍒涘缓鍦板浘
p = figure(x_range=x_range, y_range=y_range, x_axis_type="mercator", y_axis_type="mercator")
tile_provider = get_provider('CARTODBPOSITRON')
p.add_tile(tile_provider)

3. 娣诲姞瓒嬪娍鏁版嵁

# 鍒涘缓鏁版嵁婧?/span>
source = ColumnDataSource(data=dict(lat=lats, lon=lons, values=values))

# 娣诲姞鏁版嵁鐐?/span>
p.circle(x='lon', y='lat', size=10, fill_color="blue", fill_alpha=0.8, source=source)

4. 鏄剧ず鍦板浘

show(p)

鍦ㄨ繖涓ず渚嬩腑锛屾偍闇€瑕佹浛鎹?code>xmin銆?code>xmax銆?code>ymin銆?code>ymax銆?code>lats銆?code>lons鍜?code>values涓烘偍鐨勫疄闄呮暟鎹€傛偍杩樺彲浠ユ牴鎹渶瑕佽嚜瀹氫箟鍦板浘鐨勬牱寮忓拰灞炴€с€?/p>

甯屾湜杩欏彲浠ュ府鍔╂偍鍒涘缓瓒嬪娍鍦板浘浣跨敤Bokeh銆?/p>