{"id":1090855,"date":"2025-01-08T14:06:09","date_gmt":"2025-01-08T06:06:09","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1090855.html"},"modified":"2025-01-08T14:06:13","modified_gmt":"2025-01-08T06:06:13","slug":"%e5%a6%82%e4%bd%95%e5%9c%a8python%e9%87%8c%e5%ae%89%e8%a3%85%e5%9c%b0%e5%9b%be%e5%8c%85-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1090855.html","title":{"rendered":"\u5982\u4f55\u5728Python\u91cc\u5b89\u88c5\u5730\u56fe\u5305"},"content":{"rendered":"

\"\u5982\u4f55\u5728Python\u91cc\u5b89\u88c5\u5730\u56fe\u5305\"<\/p>\n

\u8981\u5728Python\u4e2d\u5b89\u88c5\u5730\u56fe\u5305\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528pip\u5b89\u88c5\u7a0b\u5e8f\u3001\u4f7f\u7528Anaconda\u5b89\u88c5\u7a0b\u5e8f\u3001\u786e\u4fdd\u4f60\u5b89\u88c5\u4e86\u6240\u6709\u4f9d\u8d56\u9879\u3002<\/strong> \u5176\u4e2d\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u4f7f\u7528pip\u5b89\u88c5\u7a0b\u5e8f\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u4e00\u4e2a\u7b80\u5355\u7684\u547d\u4ee4\u884c\u8f93\u5165\u6765\u5b8c\u6210\u5b89\u88c5\u3002\u5177\u4f53\u7684\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n

\u9996\u5148\uff0c\u4f60\u9700\u8981\u6253\u5f00\u547d\u4ee4\u884c\u6216\u7ec8\u7aef\u7a97\u53e3\u3002\u7136\u540e\uff0c\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5\u5730\u56fe\u5305\uff1a<\/p>\n<\/p>\n

pip install folium<\/p>\n
<\/code><\/pre>\n<\/p>\n
Folium\u662f\u4e00\u4e2a\u5e38\u7528\u7684Python\u5730\u56fe\u5305\uff0c\u5b83\u5141\u8bb8\u4f60\u5728Python\u4e2d\u521b\u5efa\u4ea4\u4e92\u5f0f\u5730\u56fe\uff0c\u5e76\u4e14\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u8fd9\u4e9b\u5730\u56fe\u5d4c\u5165\u5230Jupyter\u7b14\u8bb0\u672c\u4e2d\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u4f60\u53ef\u4ee5\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165Folium\u5e76\u5f00\u59cb\u4f7f\u7528\u5b83\u6765\u521b\u5efa\u5730\u56fe\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Folium\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u5730\u56fe\u3002<\/p>\n<\/p>\n
\n
\u4e00\u3001\u5b89\u88c5Folium<\/h3>\n<\/p>\n
Folium\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684Python\u5730\u56fe\u5305\uff0c\u5b83\u53ef\u4ee5\u5e2e\u52a9\u4f60\u521b\u5efa\u4ea4\u4e92\u5f0f\u5730\u56fe\u3002<\/strong><\/p>\n<\/p>\n
1\u3001\u4f7f\u7528pip\u5b89\u88c5<\/h4>\n<\/p>\n
Folium\u53ef\u4ee5\u901a\u8fc7pip\u5b89\u88c5\uff0c\u8fd9\u662f\u6700\u7b80\u5355\u548c\u5e38\u7528\u7684\u65b9\u6cd5\u3002\u5728\u547d\u4ee4\u884c\u6216\u7ec8\u7aef\u7a97\u53e3\u4e2d\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\u5373\u53ef\uff1a<\/p>\n<\/p>\n
pip install folium<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528Anaconda\u5b89\u88c5<\/h4>\n<\/p>\n
\u5982\u679c\u4f60\u4f7f\u7528\u7684\u662fAnaconda\u73af\u5883\uff0c\u4f60\u4e5f\u53ef\u4ee5\u901a\u8fc7conda\u5b89\u88c5Folium\u3002\u6253\u5f00Anaconda Prompt\uff0c\u7136\u540e\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<\/p>\n
conda install -c conda-forge folium<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u5c06\u4eceConda-Forge\u9891\u9053\u5b89\u88c5Folium\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u4f60\u53ef\u4ee5\u5728\u4f60\u7684Python\u73af\u5883\u4e2d\u5bfc\u5165Folium\u5e76\u5f00\u59cb\u4f7f\u7528\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u5730\u56fe<\/h3>\n<\/p>\n
\u4e00\u65e6\u4f60\u5b89\u88c5\u4e86Folium\uff0c\u4f60\u53ef\u4ee5\u5f00\u59cb\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u5730\u56fe\u3002<\/strong><\/p>\n<\/p>\n
1\u3001\u5bfc\u5165Folium<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u4f60\u9700\u8981\u5728\u4f60\u7684Python\u811a\u672c\u4e2d\u5bfc\u5165Folium\uff1a<\/p>\n<\/p>\n
import folium<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u521b\u5efa\u5730\u56fe\u5bf9\u8c61<\/h4>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u4f60\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u5730\u56fe\u5bf9\u8c61\uff0c\u5e76\u8bbe\u7f6e\u521d\u59cb\u4f4d\u7f6e\u548c\u7f29\u653e\u7ea7\u522b\uff1a<\/p>\n<\/p>\n
map = folium.Map(location=[45.5236, -122.6750], zoom_start=13)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u5730\u56fe\u7684\u521d\u59cb\u4f4d\u7f6e\u8bbe\u7f6e\u4e3a\u7eac\u5ea645.5236\uff0c \u7ecf\u5ea6-122.6750\uff0c\u5e76\u4e14\u7f29\u653e\u7ea7\u522b\u4e3a13\u3002<\/p>\n<\/p>\n
3\u3001\u6dfb\u52a0\u6807\u8bb0<\/h4>\n<\/p>\n
\u4f60\u8fd8\u53ef\u4ee5\u5728\u5730\u56fe\u4e0a\u6dfb\u52a0\u6807\u8bb0\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
folium.Marker([45.5236, -122.6750], popup='Portland, OR').add_to(map)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u5c06\u5728\u5730\u56fe\u7684\u521d\u59cb\u4f4d\u7f6e\u6dfb\u52a0\u4e00\u4e2a\u6807\u8bb0\uff0c\u5e76\u5728\u6807\u8bb0\u4e0a\u6dfb\u52a0\u4e00\u4e2a\u5f39\u51fa\u7a97\u53e3\uff0c\u663e\u793a\u6587\u672c\u201cPortland, OR\u201d\u3002<\/p>\n<\/p>\n
4\u3001\u4fdd\u5b58\u548c\u663e\u793a\u5730\u56fe<\/h4>\n<\/p>\n
\u6700\u540e\uff0c\u4f60\u53ef\u4ee5\u5c06\u5730\u56fe\u4fdd\u5b58\u4e3aHTML\u6587\u4ef6\uff0c\u5e76\u5728\u6d4f\u89c8\u5668\u4e2d\u67e5\u770b\uff1a<\/p>\n<\/p>\n
map.save('map.html')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u5c06\u521b\u5efa\u4e00\u4e2a\u540d\u4e3amap.html\u7684\u6587\u4ef6\uff0c\u4f60\u53ef\u4ee5\u5728\u6d4f\u89c8\u5668\u4e2d\u6253\u5f00\u5b83\u6765\u67e5\u770b\u4f60\u7684\u5730\u56fe\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u6dfb\u52a0\u66f4\u591a\u529f\u80fd<\/h3>\n<\/p>\n
Folium\u4e0d\u4ec5\u53ef\u4ee5\u521b\u5efa\u7b80\u5355\u7684\u5730\u56fe\uff0c\u8fd8\u53ef\u4ee5\u6dfb\u52a0\u66f4\u591a\u9ad8\u7ea7\u529f\u80fd\u3002<\/strong><\/p>\n<\/p>\n
1\u3001\u6dfb\u52a0\u56fe\u5c42\u63a7\u5236<\/h4>\n<\/p>\n
\u4f60\u53ef\u4ee5\u6dfb\u52a0\u591a\u4e2a\u56fe\u5c42\uff0c\u5e76\u4f7f\u7528\u56fe\u5c42\u63a7\u5236\u6765\u5207\u6362\u4e0d\u540c\u7684\u56fe\u5c42\u3002\u4f8b\u5982\uff0c\u6dfb\u52a0\u4e00\u4e2a\u74e6\u7247\u56fe\u5c42\u548c\u4e00\u4e2a\u5730\u5f62\u56fe\u5c42\uff1a<\/p>\n<\/p>\n
folium.TileLayer('Stamen TerrAI<\/a>n').add_to(map)<\/p>\n
folium.TileLayer('Stamen Toner').add_to(map)<\/p>\n
folium.LayerControl().add_to(map)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u5c06\u6dfb\u52a0\u4e24\u4e2a\u4e0d\u540c\u7684\u56fe\u5c42\uff0c\u5e76\u5728\u5730\u56fe\u4e0a\u663e\u793a\u4e00\u4e2a\u56fe\u5c42\u63a7\u5236\uff0c\u4ee5\u4fbf\u7528\u6237\u53ef\u4ee5\u5207\u6362\u56fe\u5c42\u3002<\/p>\n<\/p>\n
2\u3001\u6dfb\u52a0\u591a\u8fb9\u5f62\u548c\u7ebf\u6761<\/h4>\n<\/p>\n
\u4f60\u8fd8\u53ef\u4ee5\u5728\u5730\u56fe\u4e0a\u7ed8\u5236\u591a\u8fb9\u5f62\u548c\u7ebf\u6761\u3002\u4f8b\u5982\uff0c\u7ed8\u5236\u4e00\u4e2a\u77e9\u5f62\uff1a<\/p>\n<\/p>\n
folium.Rectangle(bounds=[[45.5236, -122.6750], [45.5280, -122.6700]],<\/p>\n
                 color='blue', fill=True, fill_color='blue').add_to(map)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u5c06\u5728\u5730\u56fe\u4e0a\u7ed8\u5236\u4e00\u4e2a\u84dd\u8272\u7684\u77e9\u5f62\u3002<\/p>\n<\/p>\n
3\u3001\u6dfb\u52a0\u70ed\u529b\u56fe<\/h4>\n<\/p>\n
Folium\u8fd8\u652f\u6301\u70ed\u529b\u56fe\uff0c\u53ef\u4ee5\u7528\u6765\u53ef\u89c6\u5316\u6570\u636e\u7684\u5bc6\u5ea6\u3002\u4f8b\u5982\uff0c\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6dfb\u52a0\u4e00\u4e2a\u70ed\u529b\u56fe\uff1a<\/p>\n<\/p>\n
from folium.plugins import HeatMap<\/p>\n
data = [[45.5236, -122.6750], [45.5246, -122.6760], [45.5256, -122.6770]]<\/p>\n
HeatMap(data).add_to(map)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u5c06\u5728\u5730\u56fe\u4e0a\u6dfb\u52a0\u4e00\u4e2a\u70ed\u529b\u56fe\uff0c\u663e\u793a\u6570\u636e\u70b9\u7684\u5bc6\u5ea6\u3002<\/p>\n<\/p>\n
\u56db\u3001\u5728Jupyter Notebook\u4e2d\u4f7f\u7528Folium<\/h3>\n<\/p>\n
Folium\u975e\u5e38\u9002\u5408\u5728Jupyter Notebook\u4e2d\u4f7f\u7528\uff0c\u65b9\u4fbf\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\u3002<\/strong><\/p>\n<\/p>\n
1\u3001\u5b89\u88c5Jupyter Notebook<\/h4>\n<\/p>\n
\u5982\u679c\u4f60\u8fd8\u6ca1\u6709\u5b89\u88c5Jupyter Notebook\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install notebook<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u521b\u5efa\u548c\u663e\u793a\u5730\u56fe<\/h4>\n<\/p>\n
\u5728Jupyter Notebook\u4e2d\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u521b\u5efa\u548c\u663e\u793a\u5730\u56fe\uff1a<\/p>\n<\/p>\n
import folium<\/p>\n
map = folium.Map(location=[45.5236, -122.6750], zoom_start=13)<\/p>\n
map<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u5c06\u5728Jupyter Notebook\u4e2d\u663e\u793a\u5730\u56fe\u3002<\/p>\n<\/p>\n
3\u3001\u4ea4\u4e92\u5f0f\u529f\u80fd<\/h4>\n<\/p>\n
Folium\u5728Jupyter Notebook\u4e2d\u652f\u6301\u4ea4\u4e92\u5f0f\u529f\u80fd\u3002\u4f8b\u5982\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6dfb\u52a0\u4e00\u4e2a\u641c\u7d22\u6846\uff1a<\/p>\n<\/p>\n
from folium.plugins import Search<\/p>\n
search = Search(layer=map, search_label='name')<\/p>\n
map.add_child(search)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u5c06\u5728\u5730\u56fe\u4e0a\u6dfb\u52a0\u4e00\u4e2a\u641c\u7d22\u6846\uff0c\u5141\u8bb8\u7528\u6237\u641c\u7d22\u7279\u5b9a\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u5176\u4ed6\u5730\u56fe\u5305<\/h3>\n<\/p>\n
\u9664\u4e86Folium\uff0c\u8fd8\u6709\u5176\u4ed6\u4e00\u4e9bPython\u5730\u56fe\u5305\u53ef\u4ee5\u7528\u6765\u521b\u5efa\u548c\u53ef\u89c6\u5316\u5730\u56fe\u3002<\/strong><\/p>\n<\/p>\n
1\u3001Basemap<\/h4>\n<\/p>\n
Basemap\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u5730\u56fe\u5305\uff0c\u53ef\u4ee5\u521b\u5efa\u5404\u79cd\u7c7b\u578b\u7684\u5730\u56fe\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5Basemap\uff1a<\/p>\n<\/p>\n
pip install basemap<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001Geopandas<\/h4>\n<\/p>\n
Geopandas\u662f\u4e00\u4e2a\u57fa\u4e8ePandas\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u4e13\u6ce8\u4e8e\u5730\u7406\u6570\u636e\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5Geopandas\uff1a<\/p>\n<\/p>\n
pip install geopandas<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001Plotly<\/h4>\n<\/p>\n
Plotly\u662f\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u7ed8\u56fe\u5e93\uff0c\u652f\u6301\u5730\u56fe\u53ef\u89c6\u5316\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5Plotly\uff1a<\/p>\n<\/p>\n
pip install plotly<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86\u5982\u4f55\u5728Python\u4e2d\u5b89\u88c5\u5730\u56fe\u5305\uff0c\u5e76\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u5982\u4f55\u4f7f\u7528Folium\u521b\u5efa\u548c\u5b9a\u5236\u5730\u56fe\u3002\u6211\u4eec\u8fd8\u4ecb\u7ecd\u4e86\u4e00\u4e9b\u5176\u4ed6\u7684Python\u5730\u56fe\u5305\uff0c\u5982Basemap\u3001Geopandas\u548cPlotly\u3002\u901a\u8fc7\u8fd9\u4e9b\u5de5\u5177\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u5730\u5728Python\u4e2d\u521b\u5efa\u548c\u53ef\u89c6\u5316\u5730\u56fe\uff0c\u4e3a\u4f60\u7684\u6570\u636e\u5206\u6790\u548c\u5c55\u793a\u63d0\u4f9b\u5f3a\u5927\u7684\u652f\u6301\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u9009\u62e9\u9002\u5408\u6211\u7684\u9879\u76ee\u7684\u5730\u56fe\u5305\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u6709\u591a\u79cd\u5730\u56fe\u5305\u53ef\u4f9b\u9009\u62e9\uff0c\u6bd4\u5982Folium\u3001Geopandas\u548cMatplotlib\u7b49\u3002\u9009\u62e9\u5408\u9002\u7684\u5730\u56fe\u5305\u53d6\u51b3\u4e8e\u4f60\u7684\u9879\u76ee\u9700\u6c42\u3002\u4f8b\u5982\uff0c\u5982\u679c\u4f60\u9700\u8981\u5236\u4f5c\u4ea4\u4e92\u5f0f\u5730\u56fe\uff0cFolium\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\uff1b\u800c\u5982\u679c\u9700\u8981\u8fdb\u884c\u5730\u7406\u6570\u636e\u5206\u6790\uff0cGeopandas\u53ef\u80fd\u66f4\u9002\u5408\u3002\u5efa\u8bae\u6839\u636e\u5177\u4f53\u9700\u6c42\u548c\u9879\u76ee\u7c7b\u578b\u8fdb\u884c\u9009\u62e9\u3002<\/p>\n
\u5b89\u88c5\u5730\u56fe\u5305\u7684\u6b65\u9aa4\u6709\u54ea\u4e9b\uff1f<\/strong>
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