python用folium绘制地图并设置弹窗效果-巨人网络通讯

python用folium绘制地图并设置弹窗效果

python–Folium

官方说明：folium.link.

map用于生成地图，主要用到黄色的参数

Map(location=None, width=‘100%', height=‘100%', left=‘0%', top=‘0%', position=‘relative', tiles=‘OpenStreetMap', attr=None, min_zoom=0, max_zoom=18, zoom_start=10, min_lat=- 90, max_lat=90, min_lon=- 180, max_lon=180, max_bounds=False, crs=‘EPSG3857', control_scale=False, prefer_canvas=False, no_touch=False, disable_3d=False, jpg_enabled=False, zoom_control=True, **kwargs)

Parameters 参数说明

location (tuple or list, default None) – Latitude and Longitude of Map (Northing, Easting).
width (pixel int or percentage string (default: ‘100%')) – Width of the map.
height (pixel int or percentage string (default: ‘100%')) – Height of the map.
tiles (str, default ‘OpenStreetMap') – Map tileset to use. Can choose from a list of built-in tiles, pass a custom URL or pass None to create a map without tiles. For more advanced tile layer options, use the TileLayer class.
min_zoom (int, default 0) – Minimum allowed zoom level for the tile layer that is created.
max_zoom (int, default 18) – Maximum allowed zoom level for the tile layer that is created.
zoom_start (int, default 10) – Initial zoom level for the map.
attr (string, default None) – Map tile attribution; only required if passing custom tile URL.
crs (str, default ‘EPSG3857') – Defines coordinate reference systems for projecting geographical points into pixel (screen) coordinates and back.定义坐标参考系统
control_scale (bool, default False) – Whether to add a control scale on the map.
prefer_canvas (bool, default False) – Forces Leaflet to use the Canvas back-end (if available) for vector layers instead of SVG.
no_touch (bool, default False) – Forces Leaflet to not use touch events even if it detects them.
disable_3d (bool, default False) – Forces Leaflet to not use hardware-accelerated CSS 3D transforms for positioning (which may cause glitches in some rare environments) even if they're supported.
zoom_control (bool, default True) – Display zoom controls on the map.

basic example

m = folium.Map(location=[45.523, -122.675], width=750, height=500)

m = folium.Map(location=[45.523, -122.675], tiles='cartodb positron')

m = folium.Map(

   location=[45.523, -122.675],

   zoom_start=2,

   tiles='https://api.mapbox.com/v4/mapbox.streets/{z}/{x}/{y}.jpg?access_token=mytoken',

   attr='Mapbox attribution'
...)

Markers

m = folium.Map(location=[45.372, -121.6972], zoom_start=12, tiles="Stamen Terrain")

tooltip = "Click me!"

folium.Marker(
    [45.3288, -121.6625], popup="i>Mt. Hood Meadows/i>", tooltip=tooltip
).add_to(m)

tooltip：点击标记后弹出的信息
popup：鼠标放标记上显示的信息

标记样式修改

m = folium.Map(location=[45.372, -121.6972], zoom_start=12, tiles="Stamen Terrain")

folium.Marker(
    location=[45.3288, -121.6625],
    popup="Mt. Hood Meadows",
    icon=folium.Icon(icon="cloud"),
).add_to(m)

folium.Marker(
    location=[45.3311, -121.7113],
    popup="Timberline Lodge",
    icon=folium.Icon(color="green"),
).add_to(m)

folium.Marker(
    location=[45.3300, -121.6823],
    popup="Some Other Location",
    icon=folium.Icon(color="red", icon="info-sign"),
).add_to(m)

标记圆形区域

点击任意位置出现经纬度folium.LatLngPopup()

m = folium.Map(location=[46.1991, -122.1889], tiles="Stamen Terrain", zoom_start=13)

m.add_child(folium.LatLngPopup())

打点功能：点击任意位置出现标记，再点击弹出信息

m = folium.Map(location=[46.8527, -121.7649], tiles="Stamen Terrain", zoom_start=13)

folium.Marker([46.8354, -121.7325], popup="Camp Muir").add_to(m)

m.add_child(folium.ClickForMarker(popup="Waypoint"))

允许显示任何HTML对象

m = folium.Map(location=[46.3014, -123.7390], zoom_start=7, tiles="Stamen Terrain")

folium.Marker(
    location=[47.3489, -124.708],
    popup=folium.Popup(max_width=450).add_child(
        folium.Vega(vis1, width=450, height=250)
    ),
).add_to(m)

可以参考的代码
html参考链接

实战

用folium绘制中国的政策地图，城市的政策汇总在一个excel表中。要实现的效果是政策可视化，点击某一个城市，可以弹出这个城市所有的政策。

import folium
import webbrowser as wb
import numpy as np
import xlrd
import pandas as pd
from folium import CustomIcon

def get_data():
    '''
    return:
    df_data:返回城市对应的编号,经纬度
    df_policy:返回城市的政策名称、链接、编号
    '''
    file_name = 'policy.xls'
    all_data = xlrd.open_workbook(file_name)
    table = all_data.sheet_by_name('num_lat_lon')
    df_data = pd.DataFrame(columns=['city','number','latitude','longitude'])
    for i in range(1,table.nrows):
        df_data.loc[i] = table.row_values(i)

    table_policy = all_data.sheet_by_name('policy')
    df_policy = pd.DataFrame(columns=['number','name','link'])
    for i in range(1,table_policy.nrows):
        df_policy.loc[i,'number'] = table_policy.cell(i,3).value
        df_policy.loc[i,'name'] = table_policy.cell(i,1).value
        df_policy.loc[i,'link'] = table_policy.cell(i,2).value

    return df_data, df_policy

    # 中文转换
def parse_zhch(s):
        return str(str(s).encode('ascii' , 'xmlcharrefreplace'))[2:-1]

def show_map(df_data,df_policy):
    '''
    可以使用高德地图或默认地图
    m = folium.Map(zoom_start=4,zoom_control=True,tiles='http://webrd02.is.autonavi.com/appmaptile?lang=zh_cnsize=1scale=1style=7x={x}y={y}z={z}',attr='default')
    '''
    # 默认地图
    m = folium.Map(location=[39.904,116.408],zoom_start=4,zoom_control=True,tiles='OpenStreetMap')
    for i in range(1,len(df_data)):
        # 得到该城市的编号、经纬度
        number = df_data.loc[i,'number']
        latitude = df_data.loc[i,'latitude']
        longitude = df_data.loc[i,'longitude']
        tip = df_data.loc[i,'city']

        # 获取城市编号对应的所有政策和链接的行索引
        city_index = df_policy[df_policy.number == number].index.tolist()
        # 将城市名称和链接放同一个list中
        s=[]
        for i in city_index:
            s.append(df_policy.loc[i,'name']) 
            s.append(df_policy.loc[i,'link'])
        # 计算最大长度
        length = []
        for i in range(len(s)):
            length.append(len(s[i]))
        WIDTH = max(length)
        # 点击弹出内容和弹出框大小设置
        ss=''
        for i in range(len(s)):
            ss = ss + s[i] + '/br>' 
        pop = folium.Popup(html=ss,max_width=WIDTH*10)
        icon = CustomIcon(icon_image ='loc.jpg',icon_size=(20, 20))
        # tooltip：悬浮弹出信息；popup：点击出现信息
        folium.Marker([latitude,longitude],icon=icon, popup=pop,tooltip=parse_zhch(tip)).add_to(m)

    m.save('map.html')
    wb.open('map.html')


if __name__ == '__main__':

    df_data,df_policy = get_data()
    show_map(df_data,df_policy)

实现效果：