Python使用folium excel绘制point

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @File : map03.py
# @Author: huifer
# @Date : 2018/6/28
import pandas as pd
import math
import folium
def degree_conversion_decimal(x):
  """
  度分转换成十进制
  :param x: float
  :return: integer float
  """
  integer = int(x)
  integer = integer + (x - integer) * 1.66666667
  return integer
def distance(origin, destination):
  """
  经纬度计算两点距离
  :param origin:
  :param destination:
  :return:
  """
  lat1, lon1 = origin
  lat2, lon2 = destination
  radius = 6371 # km
  dlat = math.radians(lat2 - lat1)
  dlon = math.radians(lon2 - lon1)
  a = math.sin(dlat / 2) * math.sin(dlat / 2) + math.cos(math.radians(lat1)) \
    * math.cos(math.radians(lat2)) * math.sin(dlon / 2) * math.sin(dlon / 2)
  c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
  d = radius * c
  return d
# 数据准备
data = pd.read_excel('SURF_CHN_MUL_HOR_STATION.xlsx')
# 修改成十进制 以及保留1一位小数
data['经度'] = data['经度'].apply(degree_conversion_decimal)
data['纬度'] = data['纬度'].apply(degree_conversion_decimal)
data['观测场拔海高度（米）'] = data['观测场拔海高度（米）'].apply(lambda x: round(x, 1))
data['气压传感器拔海高度（米）'] = data['气压传感器拔海高度（米）'].apply(lambda x: round(x, 1))
# 保存新的文件
# data.to_csv('气象站信息十进制.csv')
data["距离杭州(km)"] = data.apply(lambda r: distance((r['纬度'], r['经度']), (30.14, 120.1)), axis=1)
# print(data[data['距离杭州(km)']<100].sort_values('距离杭州(km)'))
# 选择除了杭州以外的内容
selected_st = data[data['距离杭州(km)'] < 100].sort_values('距离杭州(km)').iloc[1::]
# 展示地图
# 提取数据
hzdata = data.ix[data['站名'] == '杭州', ['站名', '纬度', '经度']]
myMap = folium.Map(location=[hzdata.iloc[0]['纬度'], hzdata.iloc[0]['经度']])
icon_hz = dict(
  prefix='fa', color='red', icon_color='darkred', icon='cny'
)
icon = folium.Icon(**icon_hz)
folium.Marker(
  location=[hzdata.iloc[0]['纬度'], hzdata.iloc[0]['经度']],
  popup="杭州",
  icon=icon
).add_to(myMap)
for i in range(len(selected_st)):
  name = selected_st.iloc[i]['站名']
  x = selected_st.iloc[i]['纬度']
  y = selected_st.iloc[i]['经度']
  test = folium.Html(
    '<b>name:{}</b></br> <b>x:{}</b></br> <b>y:{}</b></br>'.format(name, x, y),
    script=True)
  popup = folium.Popup(test, max_width=2650)
  folium.Marker(
    location=[x, y],
    popup=popup,
  ).add_to(myMap)
myMap.save("test.html")