I would like to parse an .ubx File(=my input file). This file contains many different NMEA sentences as well as raw receiver data. The output file should just contain informations out of GGA sentences. This works fine as far as the .ubx File does not contain any raw messages. However if it contains raw data
I get the following error:
Traceback (most recent call last):
File "C:...myParser.py", line 25, in
for row in reader:
Error: line contains NULL byte
My code looks like this:
import csv
from datetime import datetime
import math
# adapt this to your file
INPUT_FILENAME = 'Rover.ubx'
OUTPUT_FILENAME = 'out2.csv'
# open the input file in read mode
with open(INPUT_FILENAME, 'r') as input_file:
# open the output file in write mode
with open(OUTPUT_FILENAME, 'wt') as output_file:
# create a csv reader object from the input file (nmea files are basically csv)
reader = csv.reader(input_file)
# create a csv writer object for the output file
writer = csv.writer(output_file, delimiter=',', lineterminator='\n')
# write the header line to the csv file
writer.writerow(['Time','Longitude','Latitude','Altitude','Quality','Number of Sat.','HDOP','Geoid seperation','diffAge'])
# iterate over all the rows in the nmea file
for row in reader:
if row[0].startswith('$GNGGA'):
time = row[1]
# merge the time and date columns into one Python datetime object (usually more convenient than having both separately)
date_and_time = datetime.strptime(time, '%H%M%S.%f')
date_and_time = date_and_time.strftime('%H:%M:%S.%f')[:-6] #
writer.writerow([date_and_time])
My .ubx file looks like this:
$GNGSA,A,3,16,25,29,20,31,26,05,21,,,,,1.30,0.70,1.10*10
$GNGSA,A,3,88,79,78,81,82,80,72,,,,,,1.30,0.70,1.10*16
$GPGSV,4,1,13,02,08,040,17,04,,,47,05,18,071,44,09,02,348,24*49
$GPGSV,4,2,13,12,03,118,24,16,12,298,36,20,15,118,30,21,44,179,51*74
$GPGSV,4,3,13,23,06,324,35,25,37,121,47,26,40,299,48,29,60,061,49*73
$GPGSV,4,4,13,31,52,239,51*42
$GLGSV,3,1,10,65,07,076,24,70,01,085,,71,04,342,34,72,13,029,35*64
$GLGSV,3,2,10,78,35,164,41,79,75,214,48,80,34,322,46,81,79,269,49*64
$GLGSV,3,3,10,82,28,235,52,88,39,043,43*6D
$GNGLL,4951.69412,N,00839.03672,E,124610.00,A,D*71
$GNGST,124610.00,12,,,,0.010,0.010,0.010*4B
$GNZDA,124610.00,03,07,2016,00,00*79
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AÝ$GNRMC,124611.00,A,4951.69413,N,00839.03672,E,0.009,,030716,,,D*62
$GNVTG,,T,,M,0.009,N,0.016,K,D*36
$GNGNS,124611.00,4951.69413,N,00839.03672,E,RR,15,0.70,162.5,47.6,1.0,0000*42
$GNGGA,124611.00,4951.69413,N,00839.03672,E,4,12,0.70,162.5,M,47.6,M,1.0,0000*6A
$GNGSA,A,3,16,25,29,20,31,26,05,21,,,,,1.31,0.70,1.10*11
$GNGSA,A,3,88,79,78,81,82,80,72,,,,,,1.31,0.70,1.10*17
$GPGSV,4,1,13,02,08,040,18,04,,,47,05,18,071,44,09,02,348,21*43
$GPGSV,4,2,13,12,03,118,24,16,
I already searched for similar problems. However I was not able to find a solution which workes for me.
I ended up with code like that:
import csv
def unfussy_reader(csv_reader):
while True:
try:
yield next(csv_reader)
except csv.Error:
# log the problem or whatever
print("Problem with some row")
continue
if __name__ == '__main__':
#
# Generate malformed csv file for
# demonstration purposes
#
with open("temp.csv", "w") as fout:
fout.write("abc,def\nghi\x00,klm\n123,456")
#
# Open the malformed file for reading, fire up a
# conventional CSV reader over it, wrap that reader
# in our "unfussy" generator and enumerate over that
# generator.
#
with open("Rover.ubx") as fin:
reader = unfussy_reader(csv.reader(fin))
for n, row in enumerate(reader):
fout.write(row[0])
However I was not able to simply write a file containing just all the rows read in with the unfuss_reader wrapper using the above code.
Would be glad if you could help me.
Here is an Image of how the .ubx file looks in notepad++image
Thanks!
I am not quite sure but your file looks pretty binary. You should try to open it as such
with open(INPUT_FILENAME, 'rb') as input_file:
It seems like you did not open the file with correct coding format.
So the raw message cannot be read correctly.
If it is encoded as UTF8, you need to open the file with coding option:
with open(INPUT_FILENAME, 'r', newline='', encoding='utf8') as input_file
Hey if anyone else has this proglem to read in NMEA sentences of uBlox .ubx files
this pyhton code worked for me:
def read_in():
with open('GNGGA.txt', 'w') as GNGGA:
with open('GNRMC.txt','w') as GNRMC:
with open('rover.ubx', 'rb') as f:
for line in f:
#print line
if line.startswith('$GNGGA'):
#print line
GNGGA.write(line)
if line.startswith('$GNRMC'):
GNRMC.write(line)
read_in()
You could also use the gnssdump command line utility which is installed with the PyGPSClient and pygnssutils Python packages.
e.g.
gnssdump filename=Rover.ubx msgfilter=GNGGA
See gnssdump -h for help.
Alternatively if you want a simple Python script you could use the pyubx2 Python package, e.g.
from pyubx2 import UBXReader
with open("Rover.ubx", "rb") as stream:
ubr = UBXReader(stream)
for (_, parsed_data) in ubr.iterate():
if parsed_data.identity in ("GNGGA", "GNRMC"):
print(parsed_data)
I am trying to run the script csv2json.py in the Command Prompt, but I get this error:
C:\Users\A\Documents\PROJECTS\Django\sw2>csv2json.py csvtest1.csv wkw1.Lawyer
Converting C:\Users\A\Documents\PROJECTS\Django\sw2csvtest1.csv from CSV to JSON as C:\Users\A\Documents\PROJECTS\Django\sw2csvtest1.csv.json
Traceback (most recent call last):
File "C:\Users\A\Documents\PROJECTS\Django\sw2\csv2json.py", line 37, in <module>
f = open(in_file, 'r' )
IOError: [Errno 2] No such file or directory: 'C:\\Users\\A\\Documents\\PROJECTS\\Django\\sw2csvtest1.csv'
Here are the relevant lines from the snippet:
31 in_file = dirname(__file__) + input_file_name
32 out_file = dirname(__file__) + input_file_name + ".json"
34 print "Converting %s from CSV to JSON as %s" % (in_file, out_file)
36 f = open(in_file, 'r' )
37 fo = open(out_file, 'w')
It seems that the directory name and file name are combined. How can I make this script run?
Thanks.
Edit:
Altering lines 31 and 32 as answered by Denis Otkidach worked fine. But I realized that the first column name needs to be pk and each row needs to start with an integer:
for row in reader:
if not header_row:
header_row = row
continue
pk = row[0]
model = model_name
fields = {}
for i in range(len(row)-1):
active_field = row[i+1]
So my csv row now looks like this (including the header row):
pk, firm_url, firm_name, first, last, school, year_graduated
1, http://www.graychase.com/aabbas, Gray & Chase, Amr A, Babas, The George Washington University Law School, 2005
Is this a requirement of the django fixture or json format? If so, I need to find a way to add the pk numbers to each row. Can I delete this pk column? Any suggestions?
Edit 2
I keep getting this ValidationError: "This value must be an integer". There is only one integer field and that's the pk. Is there a way to find out from the traceback what the line numbers refer to?
Problem installing fixture 'C:\Users\A\Documents\Projects\Django\sw2\wkw2\fixtures\csvtest1.csv.json': Traceback (most recent call last):
File "C:\Python26\Lib\site-packages\django\core\management\commands\loaddata.py", line 150, in handle
for obj in objects:
File "C:\Python26\lib\site-packages\django\core\serializers\json.py", line 41, in Deserializer
for obj in PythonDeserializer(simplejson.load(stream)):
File "C:\Python26\lib\site-packages\django\core\serializers\python.py", line 95, in Deserializer
data[field.attname] = field.rel.to._meta.get_field(field.rel.field_name).to_python(field_value)
File "C:\Python26\lib\site-packages\django\db\models\fields\__init__.py", line 356, in to_python
_("This value must be an integer."))
ValidationError: This value must be an integer.
+ is used incorrectly here, the proper way to combine directory name and file name is using os.path.join(). But there is no need to combine directory where script is located with file name, since it's common to pass relative path to current working directory. So, change lines 31-32 to the following:
in_file = input_file_name
out_file = in_file + '.json'
from os import path
in_file = path.join(dirname(__file__), input_file_name )
out_file = path.join(dirname(__file__), input_file_name + ".json" )
[...]
You should be using os.path.join rather than just concatenating dirname() and filenames.
import os.path
in_file = os.path.join(dirname(__file__), input_file_name)
out_file = os.path.join(dirname(__file__), input_file_name + ".json")
will fix your problem, though depending on what exactly you're doing, there's probably a more elegant way to do it.