# -*- coding: utf-8 -*-
"""
Created on Sat Dec 23 20:19:47 2017

@author: 周文青
"""

import numpy as np
import pandas as pd
import folium
import webbrowser
from folium.plugins import HeatMap


df = pd.read_csv('pop.csv')
num = 10

lat = np.array(df["lat"][0:num])  # 获取维度之维度值
lon = np.array(df["lon"][0:num])  # 获取经度值
pop = np.array(df["pop"][0:num], dtype=float)  # 获取人口数，转化为numpy浮点型
gdp = np.array(df["GDP"][0:num], dtype=float)  # 获取人口数，转化为numpy浮点型

data1 = [[lat[i], lon[i], pop[i]] for i in range(num)]  # 将数据制作成[lats,lons,weights]的形式

map_osm = folium.Map(location=[35, 110], zoom_start=5)  # 绘制Map，开始缩放程度是5倍
HeatMap(data1).add_to(map_osm)  # 将热力图添加到前面建立的map里

if __name__ == '__main__':
    file_path = r"地图人口.html"
    map_osm.save(file_path)  # 保存为html文件
    webbrowser.open(file_path)  # 默认浏览器打开