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
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | 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 , attr = 'Mapbox attribution' ...) |
Markers
1 2 3 4 5 6 7 | 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
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | 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()
1 2 3 | 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
1 2 3 4 5 | 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
1 2 3 4 5 6 7 8 | 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。
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 | 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_cn&size=1&scale=1&style=7&x={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:
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