宜配屋

利用python进行经纬度轨迹展示

嘿！各位好久不见，距离第一次发博客已经过去两年多了，本人也从本科生变成了研究生，好了书归正传，最近在做一个关于航班滑行路径轨迹的项目，目的是将航班的经纬度数据在地图上显现出来并生成一条路径，以方便日后的滑行路径优化与分析。本文所用的语言为python，使用的是folium包，数据在flightaware网站上可以找到，使用这个包之前还是需要先进行pip install folium

folium的基本用法

folium.Map([纬度，经度]，zoom start，width，height，control_scale，no_touch) #zoom start为地图的初始缩放尺寸，数值越大地图放大程度就会越大，width为像素或百分比(int或者str两种形式)，height地图高度，control_scale为是否需要在地图上显示比例尺，默认为false，no_touch为是否禁止触碰地图或拖拽地图，默认为不禁止。这些功能都是可自己选择的，一般来说只需要经度纬度和zoom_start就好了
folium.Marker([纬度，经度]).add_to(m) #在地图上设置一个标志符号
folium.PolyLine(location = [[纬度1，经度1],[纬度2，经度2]...]，weight，color，opacity).add_to(m) #在地图上划线将所输入坐标连接起来

python利用folium绘图代码

在装好folium包以后呢，我们就可以使用起来啦，代码如下所示：

from folium import plugins
import folium
import os
m = folium.Map([39.1289, 117.3539], zoom_start=10) #中心区域的确定
location =[[39.1289, 117.3539], [39.1277262, 117.3542938], [39.1277275, 117.3543001], [39.1277262, 117.3542938], 
   [39.1277275, 117.3543001], [39.1277262, 117.3542938], [39.1277262, 117.3542938], 
   [39.1271896, 117.3541359], [39.127121, 117.354126], [39.127121, 117.354126], 
   [39.1269348, 117.3541107], [39.1268692, 117.3541061], [39.1263994, 117.3540649], 
   [39.1257591, 117.3540165], [39.125608, 117.3540192], [39.1251984, 117.3539717], 
   [39.1250038, 117.3539568], [39.1246886, 117.3539276], [39.1246033, 117.3539269], 
   [39.1244316, 117.353912], [39.1242828, 117.353912], [39.1241112, 117.3538971], 
   [39.1238623, 117.3538666], [39.1233153, 117.3538361], [39.1232643, 117.3538374], 
   [39.1230354, 117.3537478], [39.1229895, 117.353714], [39.1228638, 117.3535239], [39.122818, 117.3534493], 
   [39.1227334, 117.353241], [39.1226985, 117.3531494], [39.122652, 117.3530273], [39.122652, 117.3529968], 
   [39.1225821, 117.352829], [39.1225239, 117.3526764], [39.1224861, 117.3525835], [39.1224774, 117.3525391], 
   [39.1224657, 117.3525238], [39.1224174, 117.3523745], [39.1221886, 117.3517625], [39.1221771, 117.3517327], 
   [39.1221399, 117.3516388], [39.1221199, 117.3515834], [39.1220169, 117.3512998], [39.1219769, 117.3512115], 
   [39.1219482, 117.3511057], [39.1219188, 117.3510437], [39.121814, 117.3507996], [39.1217791, 117.3507385], 
   [39.1217558, 117.350708], [39.1215935, 117.3505982], [39.121558, 117.3505859], [39.1213417, 117.3506131], 
   [39.1211014, 117.3507475], [39.121011, 117.3507996], [39.1209528, 117.3508301], [39.120883, 117.3508759], 
   [39.1208481, 117.3509064], [39.1207352, 117.3509714], [39.1204834, 117.3511356], [39.120369, 117.3511953], 
   [39.120369, 117.3511953], [39.1202774, 117.351255], [39.1186409, 117.3522551], [39.1185321, 117.3523254], 
   [39.1182976, 117.3524641], [39.1181374, 117.3525686], [39.1173566, 117.3530426], [39.1171188, 117.3531955], 
   [39.1168213, 117.3533746], [39.1163325, 117.3536682], [39.115867, 117.3539581], [39.1156691, 117.3540802], 
   [39.1156342, 117.3540955], [39.1156342, 117.3540955], [39.1144981, 117.3547927], [39.113551, 117.3553772], 
   [39.113551, 117.3553772], [39.1125069, 117.3559869], [39.1120846, 117.3557129], [39.1120846, 117.3557129], 
   [39.1119118, 117.3553002], [39.1118546, 117.355136], [39.111782, 117.3549652], [39.1115456, 117.3542404], 
   [39.1115958, 117.3540649], [39.1115958, 117.3540649], [39.1128411, 117.3532562], [39.1131786, 117.3530426], 
   [39.113807, 117.3526459], [39.113807, 117.3526459], [39.1191902, 117.3493593], [39.1197308, 117.3490295], 
   [39.1206386, 117.3484802], [39.1208713, 117.3483276], [39.1214676, 117.347971], [39.1214676, 117.347971], 
   [39.1214676, 117.347971], [39.1214676, 117.347971]] #输入坐标点（注意）folium包要求坐标形式以纬度在前，经度在后
route = folium.PolyLine( #polyline方法为将坐标用线段形式连接起来
 location, #将坐标点连接起来
 weight=3, #线的大小为3
 color='orange', #线的颜色为橙色
 opacity=0.8 #线的透明度
).add_to(m) #将这条线添加到刚才的区域m内
m.save(os.path.join(r'C:\Users\Desktop', 'Heatmap1.html')) #将结果以HTML形式保存到桌面上

成果展示（这个应该是要在联网的情况下进行的，有时候图像加载的有一些慢）