fieldict(filename) reads a file in DOT format and returns a dictionary with the DOT CMPLID, converted to an integer, as the key, and a tuple as the corresponding value for that key. The format of the tuple is: (manufacturer, date, crash, city, state)
fieldict("DOT500.txt")[416]
('DAIMLERCHRYSLER CORPORATION', datetime.date(1995, 1, 9), False, 'ARCADIA',
so far, I have tried
from collections import defaultdict
import datetime
def fieldict(filename):
with open(filename) as f:
x=[line.split('\t')[0].strip() for line in f] #list of complaint numbers
y= line.split('\t') #list of full complaints
d={}
for j in x:
Y= True
N= False
d[j] = tuple(y[2],datetime.date(y[7]), y[6], y[12], y[13]) #dict with number of complaint as key and tuple with index as values
return d
No luck... I think I am close..any help is greatly appreciated
EDIT: each complaint is formatted like this
'11\t958128\tDAIMLERCHRYSLER CORPORATION\tDODGE\tSHADOW\t1990\tY\t19941117\tN\t0\t0\tENGINE AND ENGINE COOLING:ENGINE\tWILMINGTON \tDE\t1B3XT44KXLN\t19950103\t19950103\t\t1\tENGINE MOTOR MOUNTS FAILED, RESULTING IN ENGINE NOISE. *AK\tEVOQ\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tV\t\r\n'
Entry without character marks showing :
11 958128 DAIMLERCHRYSLER CORPORATION DODGE SHADOW 1990 Y 19941117 N 0 0 ENGINE AND ENGINE COOLING:ENGINE WILMINGTON DE 1B3XT44KXLN 19950103 19950103 1 ENGINE MOTOR MOUNTS FAILED, RESULTING IN ENGINE NOISE. *AK EVOQ
Note: Trimming the newline is left up to the reader.
A clean way of accomplishing this is to use dict(zip(headers,data_list))
Presuming your sample data looks like
joe\tSan Francisco\tapple
frank\tNew York City\torange
tim\tHawaii\tpineapple
You could do something like:
results = []
headers = ['person','place','fruit']
for line in open('datafile.txt').readlines():
record = line.split('\t')
results.append(dict(zip(headers,record)))
Which will make a dict for each line and append it to the end of 'results'.
Looking like:
[{'fruit': 'apple\n', 'person': 'joe', 'place': 'San Francisco'},
{'fruit': 'orange\n', 'person': 'frank', 'place': 'New York City'},
{'fruit': 'pineapple\n', 'person': 'tim', 'place': 'Hawaii'}]
Looks like you want to make friends with the csv
module, as this looks like tab formatted csv text. The csv.reader()
has a .next()
method which is called when you throw it in a for loop, so you can go line by line through the file.
As a general tip, read PEP8, and use understandable variable names. With python, if it starts to feel hard that's a good sign that there usually is a better way.
import csv
import datetime
def _build_datetime(line)
year_idx = x
month_idx = y
day_idx = z
indexes = (year_idx, month_idx, day_idx)
result_datetime = None
if all(line[idx] for idx in indexes): # check that expected values are populated
int_values = [int(line[idx]) for idx in indexes]
result_datetime = datetime.date(*int_values)
return result_datetime
def format2dict(filename):
complaints = {}
with open(filename, "rb") as in_f:
reader = csv.reader(in_f, delimiter='\t')
complaint_id_idx = 0
manufacturer_idx = 2
crash_idx = x
city_idx = 12
state_idx = 13
for line in reader:
complaint_id = int(line[complaint_id_idx])
data= (
line[manufacturer_idx],
_build_datetime(line),
line[crash_idx],
line[city_idx],
line[state_idx],
)
complaints[complaint_id] = data
return complaints
if __name__ == "__main__":
formatted_data = format2dict("DOT500.txt")
You're on the right track with line.split('\\t') to break up text into pieces. Try something like this to build up the tuple from the split pieces.
import datetime
a = '11\t958128\tDAIMLERCHRYSLER CORPORATION\tDODGE\tSHADOW\t1990\tY\t19941117\tN\t0\t0\tENGINE AND ENGINE COOLING:ENGINE\tWILMINGTON \tDE\t1B3XT44KXLN\t19950103\t19950103\t\t1\tENGINE MOTOR MOUNTS FAILED, RESULTING IN ENGINE NOISE. *AK\tEVOQ\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tV\t'
fields = a.split('\t')
recordNum = fields[0]
mfr = fields[2]
recDate = datetime.date(int(fields[5]),1,2)
make = fields[4]
DOTrecord = recordNum,mfr, recDate,make
print DOTrecord
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