我想了解继承的概念。我正努力在家长(班级)中完成工作
gps
)和一个孩子(班级
print_gps
). 我正在使用
xlsxwriter
将gps数据保存到excel文件中。
由于某些原因,我无法从类中获取数据
全球定位系统
在课堂上使用
打印gps
.我错过了一步吗?
import os
import csv
from csv import *
import numpy
import matplotlib
from numpy import *
from matplotlib import *
import matplotlib.pyplot as plt
from matplotlib.pylab import *
import numpy as np
#import nmea_defs
#from nmea_defs import *
#to export to excel
import xlsxwriter
from xlsxwriter.workbook import Workbook
#to get the csv converter functions
import os
import subprocess
import glob
#to get the datetime functions
import datetime
from datetime import datetime
from pytz import timezone
import time
import calendar
#creates the path needed for incoming and outgoing files
path_in = 'C:/Python34/gps_txts/'
path_out = 'C:/Python34/output_files/'
#prints all the data in the file if you want
q_show_content = input('Print list of files type y:')
if q_show_content == 'y':
for root, dirs, files in os.walk(path_in):
print(root, dirs, files)
else:
print('ok')
data = [] #empty because we will store data into it
#Reads a CSV file and return it as a list of rows
def read_csv_file(filename):
"""Reads a CSV file and return it as a list of rows."""
for row in csv.reader(open(filename)):
data.append(row)
return data
#request of what file to look at
print ("- - - - - - - - - - - - -")
data_file = input('Which file do you want to look at?')
f = open(path_in + data_file)
read_it = read_csv_file(path_in + data_file)
with f as csvfile:
readCSV = csv.reader(csvfile,delimiter=',')
plots = csv.reader(csvfile, delimiter=',')
#creates the workbook
output_filename = input('output filename:')
workbook = xlsxwriter.Workbook(path_out + output_filename + '.xlsx')
worksheet = workbook.add_worksheet()
#formatting definitions
bold = workbook.add_format({'bold': True})
date_format = workbook.add_format({'num_format': "m/d/yyyy hh:mm:ss"})
#print number of rows
print ("- - - - - - - - - - - - -")
rows = len(read_it)
print (data_file, " has "+ str(rows) + " rows of data")
print ("- - - - - - - - - - - - -")
#Counts the number of times a GPS command is observed
def list_gps_commands(data):
"""Counts the number of times a GPS command is observed.
Returns a dictionary object."""
gps_cmds = dict()
for row in data:
try:
gps_cmds[row[0]] += 1
except KeyError:
gps_cmds[row[0]] = 1
return gps_cmds
print(list_gps_commands(read_it))
print ("- - - - - - - - - - - - -")
#Function process_gps_data for GPS
class gps:
print ("- - - - - - - - - - - - -")
print('We got class')
print ("- - - - - - - - - - - - -")
def process_gprmc_data(data):
"""Processes GPS data, NMEA 0183 format.
Returns a tuple of arrays: latitude, longitude, velocity [km/h],
time [sec] and number of satellites.
See also: http://www.gpsinformation.org/dale/nmea.htm.
"""
NMI = 1852.0
latitude = []
longitude = []
altitude = []
velocity = []
timestamp = []
num_sats = []
print ("- - - - - - - - - - - - -")
print('process_gprmc_data')
print ("- - - - - - - - - - - - -")
for row in data:
if row[0] == '$GPRMC': # Valid position/time sentence
y = (float(row[3][0:2]) + float(row[3][2:])/60.0)
if row[4] == "S":
y = -y
latitude.append(y)
x = (float(row[5][0:3]) + float(row[5][3:])/60.0)
if row[6] == "W":
x = -x
longitude.append(x)
print('x,y:',x,y)
velocity.append(float(row[7])*NMI/1000.0)
gpstime = row[1][0:6] # hhmmss
gdate = row[9] # ddmmyy
gpsdate = gdate[4:6]+gdate[2:4]+gdate[0:2] # yymmdd
real_time =gpsdate + gpstime
add_date_time = datetime.strptime(real_time, "%y%m%d%H%M%S")
print(add_date_time)
timestamp.append(add_date_time)
print ("- - - - - - - - - - - - -")
print('arrays in')
print ("- - - - - - - - - - - - -")
return (array(latitude), array(longitude), array(velocity), array(timestamp))
#had to create another function to print results
class print_gps(gps):
def __init__(self):
self.gps = gps()
super(print_gps, self).__init__()
def process_gprmc_data(self):
self.gps.process_gprmc_data()
# how to call process_gprmc_data()
(lati, long, v, t_stamp) = self.gps.process_gprmc_data(data)
# def print_gprmc(process_gprmc_data):
print('got definitions in')
print ("- - - - - - - - - - - - -")
print('lati:',lati)
print ("- - - - - - - - - - - - -")
print('long:',long)
print ("- - - - - - - - - - - - -")
print('v:',v)
print ("- - - - - - - - - - - - -")
print('date:', t_stamp)
print ("- - - - - - - - - - - - -")
if rows > 200:
print('Big file please wait...thinking')
#sets up the header row
worksheet.write('A1','TimeStamp',bold)
worksheet.write('B1', 'Latitude',bold)
worksheet.write('C1', 'Longitude',bold)
worksheet.write('D1', 'Velocity',bold)
worksheet.autofilter('A1:D1') #dropdown menu created for filtering
# Create a For loop to iterate through each row in the XLS file, starting at row 2 to skip the headers
for r, row in enumerate(data, start=1): #where you want to start printing results inside workbook
for c, col in enumerate(data):
worksheet.write_column(r,0, t_stamp, date_format)
worksheet.write_column(r,1, lati)
worksheet.write_column(r,2, long)
worksheet.write_column(r,3, v)
workbook.close()
f.close()
print('XLSX file named ' + output_filename + ' was created')
#processing piece
command = input("What type do you want to look at?")
if command == '$GPRMC':
# nmea_defs.gps(data)
gps.process_gprmc_data(data)
print_gps.process_gprmc_data(data)
else:
print("Invalid type:", command)
我得到的结果和错误是:
process_gprmc_data
- - - - - - - - - - - - -
x,y: 139.64428333333333 35.892158333333334
2001-07-18 00:24:54
x,y: 139.64430166666668 35.892201666666665
2002-07-18 00:24:56
x,y: 4.8333433333333335 45.00351833333333
2003-08-14 10:47:09
x,y: 5.00001 51.00351833333333
2004-08-14 10:47:15
- - - - - - - - - - - - -
arrays in
- - - - - - - - - - - - -
Traceback (most recent call last):
File "C:\Python34\choose_nmea.py", line 222, in <module>
print_gps.process_gprmc_data(data)
File "C:\Python34\choose_nmea.py", line 171, in process_gprmc_data
self.gps.process_gprmc_data()
AttributeError: 'list' object has no attribute 'gps'
