Python中GeoJson和bokeh-1的使用讲解
2019/7/14 23:46:34
本文主要是介绍Python中GeoJson和bokeh-1的使用讲解,对大家解决编程问题具有一定的参考价值,需要的程序猿们随着小编来一起学习吧!
GeoJson 文档
{ "type": "FeatureCollection", "features": [ { "geometry": { "type": "Polygon", "coordinates": [ [ [ 3, 1 ], [ 3, 2 ], [ 4, 2 ], [ 4, 1 ], [ 3, 1 ] ] ] }, "type": "Feature", "properties": { "perimeter": 0, "vista": "mim", "provincia": "右侧正方形", "objectid": 24, "prov": 0, "bounds": [ 0, 0 ], "provif3_": 27.0, "ogc_fid": 26, "provif3_id": 26.0 } }, { "geometry": { "type": "Polygon", "coordinates": [ [ [ 1, 1 ], [ 1, 2 ], [ 2, 2 ], [ 2, 1 ], [ 1, 1 ] ] ] }, "type": "Feature", "properties": { "perimeter": 0, "vista": "mim", "provincia": "左侧正方形", "objectid": 24, "prov": 0, "bounds": [ 0, 0 ], "provif3_": 27.0, "ogc_fid": 26, "provif3_id": 26.0 } } ] }
from bokeh.io import show, output_notebook, output_file from bokeh.models import ( GeoJSONDataSource, HoverTool, LinearColorMapper ) from bokeh.plotting import figure from bokeh.palettes import Viridis6 with open(r'argentina.json', 'r', encoding='utf8') as f: geo_source = GeoJSONDataSource(geojson=f.read()) color_mapper = LinearColorMapper(palette=Viridis6) TOOLS = "pan,wheel_zoom,box_zoom,reset,hover,save" p = figure(title="正方形", tools=TOOLS, x_range=[1, 10], y_range=[1, 10], width=500, height=500) p.grid.grid_line_color = None p.patches('xs', 'ys', fill_alpha=0.7, fill_color={'field': 'objectid', 'transform': color_mapper}, line_color='white', line_width=0.5, source=geo_source) hover = p.select_one(HoverTool) hover.point_policy = "follow_mouse" hover.tooltips = [("Provincia:", "@provincia")] output_file("test.html", title="Testing Polygon in bokeh") show(p)
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