import os, sys
import csv
import numpy as np
import math

csvFile = open("GPGGA.log", "r", newline='\n')
reader = csv.reader(csvFile)

data = []
for line in reader:
    if(line[1] == 'gpsinfo'):
        data.append(line[3:5])
data = np.array(data).astype("float64")
for i in range(len(data)):
    for j in range(len(data[0])):
        a, b = math.modf(data[i][j])
        data[i][j] = b*100 + a*60

csvFile = open("data_convert.log", "w", newline='\n')

for i in range(len(data)):
    things = '[ ' + str(float('%.6f'%data[i][0])) + ', ' + str(float('%.6f'%data[i][1])) + ' ],\n'
    csvFile.write(things)

或者

import os, sys
import csv
import numpy as np
import math

path_abs=os.path.abspath('.')
logfile_path = open(path_abs + "\\path.log")
reader = csv.reader(logfile_path)

path = []
for line in reader:
    path.append(''.join(line))

for i in range(len(path)):
    path_temp = path_abs+path[i]
    logfile_in = open(path_temp+'\\data.log', "r", newline='\n')
    logfile_out = open(path_temp+"\\data_converted.log", "w", newline='\n')
    reader = csv.reader(logfile_in)

    data = []
    for line in reader:
        if(line[1] == 'gpsinfo'):
            data.append(line[3:5])
    data = np.array(data).astype("float64")

    for i in range(len(data)):
        for j in range(len(data[0])):
            a, b = math.modf(data[i][j])
            data[i][j] = b*100 + a*60

    for i in range(len(data)):
        lines = '[ ' + str(float('%.6f'%data[i][0])) + ', ' + str(float('%.6f'%data[i][1])) + ' ],\n'
        logfile_out.write(lines)

或者使用Python内置函数 .strip() 和 .split()函数，进行分割比如：
由于在python3中map()函数的返回值类型为map object 并不是python2中的list因此需要进行list处理，如此可以将字符串转化为float型

def loadDataSet(fileName, delim='\t'):
    fr = open(fileName)
    stringArr = [line.strip().split(delim) for line in fr.readlines()]
    datArr = [list(map(float, line)) for line in stringArr]
    return mat(datArr)