(转载请删除括号里的内容)

GPS模块设置

1使用ucenter设置gps输出

默认gps 9600 或者115200

选择串口链接

2 设置波特率

send之后重新连接gps模块,波特率修改成115200,send只是当前有效,断电恢复原来的.

3 修改GPS输出频率

断电生效,保存在gps的内存里

4修改gps输出帧

默认输出很多帧

有关于卫星信号质量的帧

有定位信息帧

有速度帧

其中包含gps的最全的是,但是没有关于卫星是否有效的信息

黑色的是正在输出,灰色的是没有输出

设置某些帧输出信息

断电参数保存

2，$GPGGA语句

（Global Positioning System Fix Data－GGA，GPS定位信息, 输出1次/1秒）
GPS定位主要数据，该语句中包括经纬度、质量因子、HDOP、高程、基准站号等字段。下表详细说明GPGGA语句中的各个字段：
$GPGGA，<1>，<2>，<3>，<4>，<5>，<6>，<7>，<8>，<9>，<10>，，<12>,，<14>
字段 $GPGGA语句意义——取值范围
<1> UTC时间：hhmmss.ss——000000.00~235959.99
<2> 纬度，格式：ddmm.mmmm ——0000．00000~8959.9999 （标准的度分格式）
<3> 南北半球——N北纬；S南纬
<4> 经度格式：dddmm.mmmm ——00000.0000~17959.9999 （标准的度分格式）
<5> 东西半球——E表示东经；W表示西经
<6> 质量因子——0=未定位，1=GPS单点定位固定解，2=差分定位，3=PPS解；4=RTK固定解；5=RTK浮点解；6=估计值；7=手工输入模式；8=模拟模式；
<7> 应用解算位置的卫星数——00~12
<8> HDOP，水平图形强度因子——0.500~99.000 ；大于6不可用
<9> 天线高程（海平面）——－9999.9～99999.9
<10> 线线高程单位(m) ——m
大地水准面起伏——地球椭球面相对大地水准面的高度
<12> 大地水准面起伏单位(m) ——m
<13> 差分GPS数据期——差分时间（从最近一次接收到差分信号开始的秒数，如果不是差分定位将为空），不使用DGPS时为空
<14> 基准站号——0000~1023；不使用DGPS时为空
$GPGGA,074529.82,2429.6717,N,11804.6973,E,1,8,1.098,42.110,M,,M,,*76

针对GXGGA的解析

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# -*- coding: utf-8 -*


# 117.410465,31.768830


# 使用前先使用u-center设置GPS输出，去掉多余的输出
import os
import time
import serial
import serial.tools.list_ports

os.system('cls')
serial_portlist = list(serial.tools.list_ports.comports())
if len(serial_portlist) <= 0 :
 print('未发现可用串口')
else :
 for i in range (len(serial_portlist)):
 print(serial_portlist[i])
 #port_gps = '/dev/ttyUSB'+input('请输入GPS模块所在串口：')
 port_gps = 'COM'+input('请输入GPS模块所在串口：')

 ser = serial.Serial(port_gps,115200,timeout = 2)

 #----------------------------------------------

 os.system('cls')
 init = 3
 while True :
 if ser.in_waiting > 0 :
 '''
 time.sleep(0.6)#请在0.4-0.8范围内调试修改
 #过低数据不完整，过高数据被覆盖！
 os.system('cls')
 GETBYTES = ser.read(ser.in_waiting)

 if init :#跳过前三次数据
 print('稳定串口接收中 %d'%init)
 init = init - 1
 continue

 GETSTR = GETBYTES.decode()
 print('原始数据：')
 print(GETSTR) #检查接收情况

 #-------------------------------------

 GETSTR_List = GETSTR.split('/n')
 #print('共接收 %d 行数据'%len(GETSTR_List)) #检查换行分割情况 8
 '''

 line = str(ser.readline().decode("utf-8"))

 GETSTR_List=[]


 GETSTR_List.append(line)

 GPRMC_List = GETSTR_List[0].split(',')
 #print('$GPRMC 有 %d 个字段'%len(GPRMC_List)) #检查','分割情况 13

 print(len(GPRMC_List))

 if len(GPRMC_List)!=15:
 print('数据不完整')
 continue#检查数据完整度
 #------------------------------------------------
 print('')
 if GPRMC_List[6] == '0' :#0=Invalid, 1=2D/3D, 2=DGNSS, 4=Fixed RTK, 5=Float RTK, 6=Dead Reckoning

 print('当前卫星定位无效')


 elif GPRMC_List[6] == '2' :
 print('定位正常')
 print(GETSTR_List[0])
 print('')

 #--------------------------------------------

 UTC = GPRMC_List[1][0:2] + ':' + GPRMC_List[1][2:4] + ':' + GPRMC_List[1][4:6]
 #UTC = UTC +' '+ GPRMC_List[9][0:2] + '/' + GPRMC_List[9][2:4] + '/20' + GPRMC_List[9][4:6]
 print('卫星UTC时间：'+UTC)

 #---------------------------------------------

 weidu_xy = int(GPRMC_List[2][0:2])+float(GPRMC_List[2][2:11])/60
 jingdu_xy = int(GPRMC_List[4][0:3])+float(GPRMC_List[4][3:12])/60

 high = float(GPRMC_List[9]) #米
 print("高度：",high)
 #---------------------------------------------

 weidu_du = int(GPRMC_List[2][0:2])
 weidu_fen = int(GPRMC_List[2][2:4])
 weidu_miao = float('0'+GPRMC_List[2][4:11])*60
 weidu = '%d°%d/'%.3f/"'%(weidu_du,weidu_fen,weidu_miao)
 print('')
 print('纬度：')
 print('%.6f'%weidu_xy)
 print(weidu)
 #----------------------------------------------

 jingdu_du = int(GPRMC_List[4][0:3])
 jingdu_fen = int(GPRMC_List[4][3:5])
 jingdu_miao = float('0'+GPRMC_List[4][5:12])*60
 jingdu = '%d°%d/'%.3f/"'%(jingdu_du,jingdu_fen,jingdu_miao)
 print('')
 print('经度：')
 print('%.6f'%jingdu_xy)
 print(jingdu)
 print('')

 else :
 print('数据有误，等待刷新')

另外一个GxRMC帧包含了

1，$GPRMC语句

（Recommended Minimum Specific GPS/TRANSIT Data－RMC，推荐定位信息1次/1秒）
对于一般的GPS动态定位应用，GPRMC语句完全满足要求。该语句中包括经纬度、速度、时间和磁偏角等字段，这些数据为导航定位应用提供了充分的信息。下表详细说明GPRMC语句中的各个字段：
$GPRMC，<1>，<2>，<3>，<4>，<5>，<6>，<7>，<8>，<9>，<10>，，<12>
字段 $GPRMC语句意义——取值范围
<1> UTC时间：hhmmss.ss——000000.00~235959.99
<2> 状态，有效性 ——A表示有效；V表示无效
<3> 纬度格式：ddmm.mmmm——0000．00000~8959.9999 （标准的度分格式）
<4> 南北半球——N北纬；S南纬
<5> 经度格式：dddmm.mmmm——00000.0000~17959.9999 （标准的度分格式）
<6> 东西半球——E表示东经；W表示西经
<7> 地面速度——000.00~999.999
<8> 速度方向——000.00~359.99
<9> 日期格式，月日年——010100~123199
<10> 磁偏角，单位：度——00.00~99.99
磁偏角方向——E表示东；W表示西
<12> 模式指示及校验和—— A=自主定位，D=差分，E=估算，N=数据无效
例如：$GPRMC,074529.82,A,2429.6717,N,11804.6973,E,12.623,32.122,010806,,W,A*08

针对帧h解析代码

# -*- coding: utf-8 -*


# 117.410465,31.768830


# 使用前先使用u-center设置GPS输出，去掉多余的输出
# GxGAA 有海拔高度
# GX

import os
import time
import serial
import serial.tools.list_ports

os.system('cls')
serial_portlist = list(serial.tools.list_ports.comports())
if len(serial_portlist) <= 0 :
 print('未发现可用串口')
else :
 for i in range (len(serial_portlist)):
 print(serial_portlist[i])
 #port_gps = '/dev/ttyUSB'+input('请输入GPS模块所在串口：')
 port_gps = 'COM'+input('请输入GPS模块所在串口：')

 ser = serial.Serial(port_gps,115200,timeout = 2)

 #----------------------------------------------

 os.system('cls')
 init = 3
 while True :
 if ser.in_waiting > 0 :
 '''
 time.sleep(0.6)#请在0.4-0.8范围内调试修改
 #过低数据不完整，过高数据被覆盖！
 os.system('cls')
 GETBYTES = ser.read(ser.in_waiting)

 if init :#跳过前三次数据
 print('稳定串口接收中 %d'%init)
 init = init - 1
 continue

 GETSTR = GETBYTES.decode()
 print('原始数据：')
 print(GETSTR) #检查接收情况

 #-------------------------------------

 GETSTR_List = GETSTR.split('/n')
 #print('共接收 %d 行数据'%len(GETSTR_List)) #检查换行分割情况 8
 '''

 line = str(ser.readline().decode("utf-8"))

 GETSTR_List=[]


 GETSTR_List.append(line)

 GPRMC_List = GETSTR_List[0].split(',')
 #print('$GPRMC 有 %d 个字段'%len(GPRMC_List)) #检查','分割情况 13

 if len(GPRMC_List)!=13:
 print('数据不完整')
 continue#检查数据完整度
 #------------------------------------------------
 print('')
 if GPRMC_List[2] == 'V' :
 print('当前卫星定位无效')


 elif GPRMC_List[2] == 'A' :
 print('定位正常')
 print(GETSTR_List[0])
 print('')

 #--------------------------------------------

 UTC = GPRMC_List[1][0:2] + ':' + GPRMC_List[1][2:4] + ':' + GPRMC_List[1][4:6]
 UTC = UTC +' '+ GPRMC_List[9][0:2] + '/' + GPRMC_List[9][2:4] + '/20' + GPRMC_List[9][4:6]
 print('卫星UTC时间：'+UTC)

 #---------------------------------------------

 weidu_xy = int(GPRMC_List[3][0:2])+float(GPRMC_List[3][2:11])/60
 jingdu_xy = int(GPRMC_List[5][0:3])+float(GPRMC_List[5][3:12])/60

 #---------------------------------------------

 weidu_du = int(GPRMC_List[3][0:2])
 weidu_fen = int(GPRMC_List[3][2:4])
 weidu_miao = float('0'+GPRMC_List[3][4:11])*60
 weidu = '%d°%d/'%.3f/"'%(weidu_du,weidu_fen,weidu_miao)
 print('')
 print('纬度：')
 print('%.6f'%weidu_xy)
 print(weidu)
 #----------------------------------------------

 jingdu_du = int(GPRMC_List[5][0:3])
 jingdu_fen = int(GPRMC_List[5][3:5])
 jingdu_miao = float('0'+GPRMC_List[5][5:12])*60
 jingdu = '%d°%d/'%.3f/"'%(jingdu_du,jingdu_fen,jingdu_miao)
 print('')
 print('经度：')
 print('%.6f'%jingdu_xy)
 print(jingdu)
 print('')

 else :
 print('数据有误，等待刷新')

GPS解析库

根据协议内容，我们可以自己编写Python脚本对GPS数据进行解析。但是，实际上Python已经有现成的库可以调用——pymea2。

推荐下载方式：

pip install pynmea2

下载完成后即可导入包，并通过pynmea2.parse()方法对GPS数据进行解析，示例如下：

import pynmea2text = "$GNRMC,074733.00,A,2241.28818,N,11358.44210,E,3.866,,070720,,,A*60"msg = pynmea2.parse(text)

原始GPS信号的经纬度采用的是60进制的格式，通过msg.lat和msg.lon就能分别显示维度和经度信息：

而地图常用的格式应该是10进制的，通过msg.latitude和msg.longitude就能分别显示10进制的维度和经度信息：

GPS数据可视化

1 谷歌地球

直接搜索 31.777275,117.367401

3使用folium绘制经纬度轨迹图

folium

读取txt解析地址，可视化显示

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#!/usr/bin/python
# -*- coding: UTF-8 -*-
#使用教程
# 1安装库
# 2修改txt名字

##pip3 install folium
import folium #可视化工具
import os

def draw_gps(locations, output_path, file_name):
 """
 绘制gps轨迹图
 :param locations: list, 需要绘制轨迹的经纬度信息，格式为[[lat1, lon1], [lat2, lon2], ...]
 :param output_path: str, 轨迹图保存路径
 :param file_name: str, 轨迹图保存文件名
 :return: None
 """
 m = folium.Map(locations[0], zoom_start=15, attr='default') #中心区域的确定

 folium.PolyLine( # polyline方法为将坐标用线段形式连接起来
 locations, # 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

 # 起始点，结束点
 folium.Marker(locations[0], popup='Starting Point').add_to(m)
 folium.Marker(locations[-1], popup='End Point').add_to(m)

 # len(locations)

 '''
 for i in locations:
 #folium.Marker(
 #i, popup="Click show a test", tooltip="Click me!",icon=folium.Icon(color="red", icon="info-sign")
 ).add_to(m)
 '''

 m.save(os.path.join(output_path, file_name)) # 将结果以HTML形式保存到指定路径


'''
从txt读取gps数据解析出经纬高
输入 gps_txt 文件路径和名字
输出 locations gps数组格式为[[lat1, lon1], [lat2, lon2], ...]

'''

def read_txtgps(gps_txt):
 locations=[]
 #gps_txt="save/video/VideoLEFT_Tue_Aug_24_19_01_46_2021.txt"
 with open(gps_txt, "r") as f:
 for line in f.readlines():
 line = line.strip('/n') #去掉列表中每一个元素的换行符
 #print(line)
 strlist = line.split(',')
 #print(strlist[2],strlist[3])
 if strlist[1]=="-1" or strlist[1]=="0":
 pass
 else:
 locations.append([float(strlist[2]),float(strlist[3])])
 return locations

#开始调用

print("读取txt数据")
name="VideoLEFT_Wed_Aug_25_17_32_19_2021"
gps_txt=name+".txt"
map_html=name+".html"
locations=read_txtgps(gps_txt)

print("地图生成中请等待")
draw_gps(locations,"",map_html)
print(map_html,"地图网页生生结束，请用网页打开查看")

通过上面的解析方法，我们已经获取了传感器的维度和经度信息，接下来就能够在地图上进行可视化展示，这里我采用的是Python的folium库。

假设我们最终获取到的一批经纬度数据如下：

locations = [[22.674574, 113.993353], [22.674544, 113.993362], [22.674521, 113.993376], [22.67447, 113.99342], [22.674471, 113.993428], [22.674485, 113.993434], [22.674487, 113.993437], [22.674471, 113.993416], [22.674452, 113.993416], [22.674449, 113.993412], [22.674443, 113.993389], [22.674444, 113.993382], [22.67445, 113.993363], [22.67444, 113.993358], [22.67444, 113.993351], [22.67444, 113.993338], [22.674441, 113.993331], [22.674485, 113.993265], [22.674452, 113.993305], [22.674511, 113.99323], [22.674504, 113.993236], [22.674484, 113.99326], [22.674419, 113.993359], [22.67441, 113.993369], [22.674403, 113.993381], [22.674406, 113.993385], [22.674406, 113.993395], [22.674404, 113.993397], [22.674403, 113.9934], [22.674402, 113.993411], [22.6744, 113.993414], [22.674398, 113.993417], [22.674308, 113.993457], [22.674269, 113.99347], [22.67423, 113.99349], [22.674191, 113.993506], [22.674151, 113.993532], [22.674045, 113.993583], [22.673965, 113.993597], [22.673879, 113.993607], [22.673724, 113.993639], [22.673321, 113.993752], [22.673212, 113.993784], [22.673101, 113.993825], [22.672887, 113.993894], [22.672785, 113.993937], [22.672684, 113.993977], [22.672476, 113.994081], [22.672063, 113.994352], [22.671971, 113.994427], [22.671873, 113.994503], [22.67178, 113.994583], [22.671449, 113.994935], [22.671373, 113.995017], [22.671315, 113.995096], [22.671252, 113.995173], [22.671199, 113.995219], [22.671165, 113.99525], [22.671108, 113.995304], [22.671128, 113.995301], [22.671125, 113.995312], [22.671131, 113.995302], [22.671133, 113.995301], [22.671136, 113.99531], [22.671135, 113.995313], [22.671131, 113.995316], [22.671077, 113.995376], [22.671059, 113.995395], [22.671039, 113.995415], [22.670993, 113.995452], [22.670868, 113.995574], [22.670666, 113.995825], [22.67061, 113.995877], [22.670563, 113.995943], [22.670503, 113.996008], [22.670448, 113.996076], [22.670393, 113.996143], [22.670233, 113.996335], [22.670022, 113.996558], [22.669967, 113.996622], [22.669913, 113.996683], [22.669862, 113.996741], [22.669812, 113.996795], [22.669768, 113.996847], [22.669734, 113.996899], [22.669687, 113.996965], [22.669639, 113.997026], [22.669441, 113.997291], [22.669385, 113.997353], [22.669331, 113.997423], [22.669274, 113.997491], [22.669216, 113.997564], [22.66915, 113.997639], [22.668873, 113.997982], [22.668809, 113.998056], [22.668754, 113.998126], [22.668686, 113.998199], [22.668632, 113.998269], [22.668578, 113.998336], [22.66852, 113.998408], [22.668462, 113.998486], [22.668212, 113.998776], [22.668152, 113.998849], [22.668082, 113.998925], [22.667963, 113.999024], [22.667923000000002, 113.999077], [22.667784, 113.999228], [22.667669, 113.999349], [22.667521, 113.999529], [22.667482, 113.999574], [22.667442, 113.999625], [22.667401, 113.999676], [22.667358, 113.999724], [22.667321, 113.999774], [22.667283, 113.99982], [22.667246, 113.999863], [22.667209, 113.999906], [22.667169, 113.999947], [22.667128, 113.999992], [22.667085, 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114.005143], [22.659204, 114.005154], [22.659177, 114.005174], [22.659, 114.005249], [22.658954, 114.005246], [22.65891, 114.005242], [22.658881, 114.005232], [22.658862, 114.005226], [22.658822, 114.005206], [22.658791, 114.005192], [22.658759, 114.005171], [22.658612, 114.005036], [22.658563, 114.005019], [22.658514, 114.005001], [22.65846, 114.004978], [22.65841, 114.004958], [22.658359, 114.004939], [22.658102, 114.0049], [22.658043, 114.004901], [22.6577, 114.00493], [22.657606, 114.004941], [22.657507, 114.004945], [22.657422, 114.004959], [22.657338, 114.00497], [22.657009, 114.005009], [22.656778, 114.005121], [22.656726, 114.005149], [22.656679, 114.005174], [22.656635, 114.005197], [22.656598, 114.005217], [22.656512, 114.00526], [22.656477, 114.005279], [22.656426, 114.005314], [22.656315, 114.005396], [22.656256, 114.00544], [22.656188, 114.00549], [22.65605, 114.005583], [22.655815, 114.005766], [22.655529, 114.005985], [22.655465, 114.006031], [22.655409, 114.006071], [22.655205, 114.00624], [22.65511, 114.006312], [22.655066, 114.006345], [22.654989, 114.006407], [22.65491, 114.006467], [22.654868, 114.006496], [22.654832, 114.006524], [22.654792, 114.006552], [22.654674, 114.006626], [22.654656, 114.006641], [22.654631, 114.006665], [22.654624, 114.006669], [22.654613, 114.006677], [22.654597, 114.006687], [22.65459, 114.006694], [22.654584, 114.006698], [22.654579, 114.006702], [22.654573, 114.006706], [22.654555, 114.006716], [22.654554, 114.006715], [22.654555, 114.006715], [22.654555, 114.006715], [22.654555, 114.006717], [22.654555, 114.006719], [22.654539, 114.00674], [22.654529, 114.006756], [22.654509, 114.00678], [22.654481, 114.006809], [22.654417, 114.006871], [22.654407, 114.006882], [22.654394, 114.006892], [22.654363, 114.006916], [22.65432, 114.006949], [22.654302, 114.006962], [22.654289, 114.006973], [22.654275, 114.006982], [22.654257, 114.006994], [22.65424, 114.007007], [22.654223, 114.007018], [22.654195, 114.007035], [22.654146, 114.007078], [22.65413, 114.007096], [22.654124, 114.007102], [22.654116, 114.00711], [22.654035, 114.00718], [22.653994, 114.007212], [22.653942, 114.007248], [22.653891, 114.007284], [22.653837, 114.007319], [22.653782, 114.00736], [22.653725, 114.007406], [22.653665, 114.007455], [22.653604, 114.007507], [22.653537, 114.007559], [22.653237, 114.007795], [22.653162000000002, 114.007853], [22.652859, 114.008086], [22.65279, 114.008141], [22.652722, 114.008193], [22.652486, 114.008392], [22.652425, 114.008436], [22.652364, 114.008478], [22.652141, 114.008652], [22.651907, 114.008831], [22.651843, 114.008877], [22.651779, 114.008923], [22.651713, 114.008971], [22.651653, 114.009008], [22.651391, 114.009213], [22.651153, 114.009397], [22.651097, 114.00944], [22.651041, 114.009481], [22.650994, 114.009514], [22.650954, 114.009544], [22.650919000000002, 114.009572], [22.650851, 114.009628], [22.650815, 114.009661], [22.65078, 114.00969], [22.650748, 114.009719], [22.650626, 114.009822], [22.65059, 114.009849], [22.65056, 114.009878], [22.65052, 114.009909], [22.6504, 114.010005], [22.650277, 114.010077], [22.650266, 114.01009], [22.65026, 114.010104], [22.65026, 114.010105], [22.650258, 114.010107], [22.650254, 114.01011], [22.650244, 114.010115], [22.65025, 114.010123], [22.65025, 114.010126], [22.650253, 114.010131], [22.650257, 114.010133], [22.650256, 114.010134], [22.650252000000002, 114.010136], [22.65025, 114.010136], [22.650243, 114.010136], [22.650249, 114.010139], [22.650238, 114.010139], [22.650215, 114.010136], [22.650215, 114.010139], [22.650212, 114.010143], [22.650206, 114.010148], [22.650205, 114.010155], [22.6502, 114.010159], [22.650197, 114.010161], [22.650194, 114.010163], [22.650187, 114.010171], [22.650187, 114.010172], [22.650187, 114.010174], [22.650187, 114.010176], [22.650187, 114.010178], [22.650186, 114.010178], [22.650176, 114.010181], [22.65017, 114.010186], [22.650168999999998, 114.010187], [22.65017, 114.010188], [22.65017, 114.010189], [22.650174, 114.01019], [22.650174, 114.01019], [22.650175, 114.010185], [22.650177, 114.010184], [22.65018, 114.010183], [22.650181, 114.010184], [22.650179, 114.010183], [22.650175, 114.010181], [22.650164, 114.010177], [22.650164, 114.010168], [22.65016, 114.010171], [22.650156, 114.010171], [22.650077, 114.010223], [22.65005, 114.010245], [22.650019, 114.010266], [22.64999, 114.01029], [22.64996, 114.010309], [22.649917, 114.010341], [22.649892, 114.010353], [22.649874, 114.010367], [22.649844, 114.01039], [22.649637, 114.010561], [22.649569, 114.010614], [22.649493, 114.010679], [22.649349, 114.010807], [22.64928, 114.010869], [22.649211, 114.010927], [22.649142, 114.010986], [22.649075, 114.011046], [22.64888, 114.01122], [22.648835, 114.011255], [22.648791, 114.01129], [22.648697, 114.011371], [22.648469, 114.011552], [22.64841, 114.011602], [22.648349, 114.011651], [22.648288, 114.011697], [22.648226, 114.011744], [22.648162, 114.01179], [22.647882, 114.012002], [22.647812000000002, 114.012056], [22.647737, 114.012115], [22.647455, 114.01231], [22.647386, 114.01235], [22.647316, 114.01239], [22.647259, 114.01242], [22.647165, 114.012422], [22.647145, 114.012414], [22.647127, 114.012402], [22.647107, 114.012387], [22.647089, 114.012372], [22.647061, 114.012348], [22.647032, 114.012301], [22.646994, 114.012256], [22.646963, 114.012211], [22.646934, 114.012167], [22.6469, 114.012126], [22.646858, 114.012074], [22.646829, 114.012025], [22.646798, 114.011976], [22.646676, 114.011792], [22.646641, 114.011738], [22.646593, 114.011682], [22.646548, 114.011619], [22.646392, 114.011391], [22.646359, 114.011348], [22.646242, 114.011275], [22.64621, 114.011284], [22.646176, 114.011308], [22.646057, 114.011403], [22.646036, 114.011422], [22.646023, 114.011419], [22.645966, 114.011418], [22.645968, 114.01141], [22.645971, 114.011398], [22.645968, 114.011385], [22.645959, 114.011384], [22.645965, 114.011382], [22.645963, 114.011381], [22.645963, 114.011377], [22.645955, 114.011391], [22.64595, 114.011385], [22.645947, 114.011383], [22.64595, 114.011378], [22.645932, 114.011349], [22.645955999999998, 114.011367], [22.645954, 114.011364], [22.64595, 114.011361], [22.645944, 114.011363], [22.645945, 114.011366], [22.645925, 114.011378], [22.645917, 114.011377], [22.645914, 114.01137], [22.645915, 114.011394], [22.645914, 114.011395], [22.645919, 114.011399], [22.645902, 114.011416], [22.645927, 114.01145], [22.645934, 114.01145], [22.645931, 114.011415], [22.645931, 114.011423], [22.64594, 114.011465], [22.645958, 114.011438], [22.64597, 114.011438], [22.645948, 114.011414], [22.645972, 114.011407], [22.645969, 114.011389], [22.645957, 114.011383], [22.645966, 114.011391], [22.646028, 114.011349], [22.646038, 114.011348], [22.646038, 114.011346], [22.646144, 114.011338], [22.646165, 114.011331], [22.646185, 114.011323], [22.646296, 114.011279], [22.646366, 114.011254], [22.646385, 114.011245], [22.646409, 114.011188], [22.64643, 114.011175], [22.645819, 114.011172], [22.645744, 114.011106], [22.645695, 114.011069], [22.64569, 114.011058], [22.64581, 114.011152], [22.645709, 114.011067], [22.645675, 114.011042], [22.645633, 114.011031], [22.645633, 114.011066], [22.645639, 114.011083], [22.645645000000002, 114.01109], [22.64563, 114.011079], [22.645635, 114.011107], [22.645651, 114.011131], [22.645679, 114.011169], [22.645688, 114.011188], [22.645694, 114.011194], [22.645697, 114.011206], [22.6457, 114.011215], [22.645707, 114.011226], [22.645692, 114.011203], [22.645708, 114.011211], [22.645718, 114.011244], [22.645722, 114.011281]]

注意：顺序为[纬度，经度]。

编写Python函数绘制GPS轨迹图：

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def draw_gps(locations, output_path, file_name):
 """
 绘制gps轨迹图
 :param locations: list, 需要绘制轨迹的经纬度信息，格式为[[lat1, lon1], [lat2, lon2], ...]
 :param output_path: str, 轨迹图保存路径
 :param file_name: str, 轨迹图保存文件名
 :return: None
 """
 m = folium.Map(locations[0], zoom_start=15, attr='default') #中心区域的确定

 folium.PolyLine( # polyline方法为将坐标用线段形式连接起来
 locations, # 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

 # 起始点，结束点
 folium.Marker(locations[0], popup='Starting Point').add_to(m)
 folium.Marker(locations[-1], popup='End Point').add_to(m)

 m.save(os.path.join(output_path, file_name)) # 将结果以HTML形式保存到指定路径

GPS轨迹图结果：

解决folium国内访问太慢的问题

如果我们直接用浏览器打开生成的HTML文件，有可能会发现网络访问非常缓慢，需要加载大概1分钟才能看到地图显现。
我们打开用folium生成的HTML文件就可以看到：

由于生成的HTML文件调用的很多资源都是访问的国外资源，所以在国内打开可能会比较慢。这时候我们可以考虑把这些静态资源下载到本地，然后采用Python读取HTML，修改静态资源路径的方式，把HTML中的css和js路径修改成本地路径，这样就能够极大程度的提高速度。
示例如下：

可以看到示例中有一行我没有进行修改，这是因为我在前面绘制地图的时候增加了起始点的绘制，如果把这个css路径改了就会导致无法正常显示起始点（没有下载起始点图标），再加上这个css网络访问起来并不慢，所以我没有进行替换。

<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css"/>

修改了静态资源访问路径的HTML，再次打开的速度应该是非常快的，如果地图加载依然比较慢，那就是地图瓦片的网络问题了，而非静态资源的问题。

3 censium

https://www.cnblogs.com/gooutlook/p/13891300.html

4 高德可视化

GPS在国内的数据都加了密,直接显示并不是原始的地方,需要地图纠偏.

https://lbs.amap.com/demo/javascript-api/example/other-gaode/othertoamap-more

———————
作者：MKT-porter
来源：CNBLOGS
原文：https://www.cnblogs.com/gooutlook/p/15177300.html
版权声明：本文为作者原创文章，转载请附上博文链接！
内容解析By：CSDN,CNBLOG博客文章一键转载插件

原创文章，作者：ItWorker，如若转载，请注明出处：https://blog.ytso.com/282041.html

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