GPS的GNRMC數據經緯度轉換實例解析

一 概念

Python有現成的庫可以調用來解析GPS數據——pymea2

安裝方式:

pip install pynmea2

二 實例

解析單個數據：

import pynmea2

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

print(msg.latitude)

print(msg.longitude)

解析多個數據:

import pynmea2

#該函數主要針對整個文件的gps進行解析
def parse_file(file_path):
    txt_tables = []
    f = open(file_path, "r",encoding='utf-8')
    line = f.readline() # 讀取第一行
    locations = []
    while line:
        text = line[1:]
        msg = pynmea2.parse(text)
        # print(msg.latitude)  #24.551053333333332
        # print(msg.longitude)  #118.1067375
        tmp = []
        if(msg.latitude == 0.0 or msg.longitude == 0.0):
            line = f.readline() # 讀取下一行
            continue
        tmp.append(msg.latitude)
        tmp.append(msg.longitude)
        locations.append(tmp)
        line = f.readline() # 讀取下一行
    return locations


if __name__ == '__main__':

    file_path ='gps_data_60.txt'
    locate = parse_file(file_path)
    print(locate)

附件，gps文件數據:gps_data_60.txt

$GNRMC,023445.200,A,3448.72275,N,11331.95121,E,0.00,222.94,110424,,,A*7A
$GNRMC,023445.400,A,3448.72275,N,11331.95121,E,0.00,222.94,110424,,,A*7C
$GNRMC,023445.600,A,3448.72275,N,11331.95121,E,0.00,222.94,110424,,,A*7E
$GNRMC,023455.600,A,3448.72279,N,11331.95124,E,0.00,222.94,110424,,,A*76
$GNRMC,023455.800,A,3448.72279,N,11331.95124,E,0.00,222.94,110424,,,A*78
$GNRMC,023456.000,A,3448.72279,N,11331.95124,E,0.00,222.94,110424,,,A*73