使用 folium 包绘制 Google 地图?
pythonserver side programmingprogramming更新于 2024/1/24 5:33:00
Folium 是一个非常强大的 Python 库，可让您创建几种 Leaflet 地图。由于 Leaflet/folium 地图是交互式的，因此它们非常适合制作仪表板。
安装
使用 pip − 安装 folium 非常简单
$pip install folium
就像您从下面的屏幕截图中看到的那样，您只需要在控制台/cmd 中输入上述命令，pip 就会安装 folium 以及您的 python 安装的依赖项。
基本地图
#导入库
import folium
#使用纬度然后经度。 & zoomlevel 4。缩放数字越大，距离越近。
mapOBJ = folium.Map(location=[17.3616, 78.4747], zoom_start = 4, tiles = 'Stamen Terrain')
# Map 对象的 save 方法将创建一个地图
mapOBJ.save('map2.html')
输出
Case#2: GeoJson
import folium
import os
from folium import features
import numpy as np
import pandas as pd
N = 1000
lons = +5 - np.random.normal(size=N)
lats = 48 - np.random.normal(size=N)
data = {
'type': 'FeatureCollection',
'features': [
{
'type': 'Feature',
'geometry': {
'type': 'MultiPoint',
'coordinates': [[lon, lat] for (lat, lon) in zip(lats, lons)],
},
'properties': {'prop0': 'value0'}
},
],
}
m = folium.Map([17.3616, 78.4747], zoom_start = 10)
m.add_child(features.GeoJson(data))
m.save('Features.html')
Output:
Case#3: Marker, Icon, Popup
import folium
from folium import features
m = folium.Map([17.3616, 78.4747], zoom_start = 15)
mk = features.Marker([17.3616, 78.4747])
pp = folium.Popup('Charminar')
ic = features.Icon(color='red')
mk.add_child(ic)
mk.add_child(pp)
m.add_child(mk)
m.save('Features_1.html')
输出
案例#4
我使用了一个新库 - vincent，Vincent 采用 Python 数据结构(元组、列表、字典和 Pandas DataFrames)并将它们转换为 Vega 可视化语法。
使用 pip，安装 vincent 非常容易。
$pip install vincent
C:\WINDOWS\system32>pip install vincent Collecting vincent Downloading https://files.pythonhosted.org/packages/11/bf/a12ecaa21a2e376a16de67e09f64a38a4acd95e04e5dc35ad2f13a6f0bfd/vincent-0.4.4.tar.gz Requirement already satisfied: pandas in c:\python\python361\lib\site-packages (from vincent) (0.20.2) Requirement already satisfied: pytz >= 2011k in c:\python\python361\lib\site-packages (from pandas -> vincent) (2017.2) Requirement already satisfied: python-dateutil >= 2 in c:\python\python361\lib\site-packages (from pandas -> vincent) (2.6.0) Requirement already satisfied: numpy >= 1.7.0 in c:\python\python361\lib\site-packages (from pandas -> vincent) (1.16.0) Requirement already satisfied: six >= 1.5 in c:\python\python361\lib\site-packages (from python-dateutil >= 2 -> pandas -> vincent) (1.10.0) Building wheels for collected packages: vincent Running setup.py bdist_wheel for vincent ... done Stored in directory: C:\Users\rajesh\AppData\Local\pip\Cache\wheels\4c\0d\8a\65f34c765c6094a71cce3e42a49a26533eef61695e9b505f03 Successfully built vincent Installing collected packages: vincent Successfully installed vincent-0.4.4
import folium
from folium import features
import numpy as np
import json
import vincent
N = 100
multi_iter2 = {
'x': np.random.uniform(size=(N,)),
'y': np.random.uniform(size=(N,)),
}
scatter = vincent.Scatter(multi_iter2, iter_idx='x', height=100, width=200)
data = json.loads(scatter.to_json())
m = folium.Map([17.3616, 78.4747], zoom_start=10)
mk = features.Marker([17.3616, 78.4747])
p = folium.Popup('Charminar')
v = features.Vega(data, width='100%', height='100%')
mk.add_child(p)
p.add_child(v)
m.add_child(mk)
m.save('Features_2.html')
输出
