地图的可视化--Folium

最新推荐文章于 2025-03-18 15:44:27 发布

weixin_30782331

最新推荐文章于 2025-03-18 15:44:27 发布

阅读量447

点赞数

CC 4.0 BY-SA版权

文章标签： javascript python ViewUI

原文链接：http://www.cnblogs.com/gispathfinder/p/5792137.html

本文介绍如何利用Python库Folium创建地理数据可视化地图，包括安装Folium及其依赖项、生成Web地图文件的过程，并展示了如何将统计数据与地图上的多边形进行连接以展示美国各州失业率的数据。

1.安装folium

pip install MarkupSafe-0.23-cp34-none-win_amd64.whl

pip install Jinja2-2.8-py2.py3-none-any.whl

pip install folium

2.生成WebMap页面

#!/usr/bin/env python
# -*- coding: utf-8 -*-
import folium
import pandas as pd

# define the polygons
states_geojson = r'../www/html/us-states.json'

# statistic data to connect to our polygons
state_unemployment = r'../www/html/US_Unemployment_Oct2012.csv'

# read the csv statistic data
state_data = pd.read_csv(state_unemployment)
print(state_data)

# Let Folium determine the scale
map = folium.Map(location=[48, -102], zoom_start=3, tiles="Stamen Toner")

# create the leaflet map settings
map.geo_json(geo_path=states_geojson, data=state_data,
             columns=['State', 'Unemployment'],
             threshold_scale=[5, 6, 7, 8, 9, 10],
             key_on='feature.id',
             fill_color='YlGn', fill_opacity=0.7, line_opacity=0.2,
             legend_name='Unemployment Rate (%)')

# output the final map file
map.create_map(path='../www/html/ch10-01_folium_map.html')

3.修改WebMap页面

<!--
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
-->

<script src="http://127.0.0.1/resource/JavaScript/gis/geojquery/jquery-1.11.2.min.js"></script>

4.访问WebMap页面