I have a generated file with thousands of lines like the following:
CODE,XXX,DATE,20101201,TIME,070400,CONDITION_CODES,LTXT,PRICE,999.0000,QUANTITY,100,TSN,151
If we're going to abstract it into a function anyway, it's not too hard to write "from scratch":
def pairs(iterable):
iterator = iter(iterable)
while True:
try: yield (iterator.next(), iterator.next())
except: return
robert's recipe version definitely wins points for flexibility, though.
import itertools
def grouper(n, iterable, fillvalue=None):
"grouper(3, 'ABCDEFG', 'x') --> ABC DEF Gxx"
args = [iter(iterable)] * n
return itertools.izip_longest(fillvalue=fillvalue, *args)
record = dict(grouper(2, line.strip().split(","))
source
Not so much better as just more efficient...
Full explanation
In Python 2 you could use izip
in the itertools
module and the magic of generator objects to write your own function to simplify the creation of pairs of values for the dict
records. I got the idea for pairwise()
from a similarly named (but functionally different) recipe in the Python 2 itertools
docs.
To use the approach in Python 3, you can just use plain zip()
since it does what izip()
did in Python 2 resulting in the latter's removal from itertools
— the example below addresses this and should work in both versions.
try:
from itertools import izip
except ImportError: # Python 3
izip = zip
def pairwise(iterable):
"s -> (s0,s1), (s2,s3), (s4, s5), ..."
a = iter(iterable)
return izip(a, a)
Which can be used like this in your file reading for
loop:
from sys import argv
records = {}
for line in open(argv[1]):
fields = (field.strip() for field in line.split(',')) # generator expr
record = dict(pairwise(fields))
records[record['TSN']] = record
print('Found %d records in the file.' % len(records))
But wait, there's more!
It's possible to create a generalized version I'll call grouper()
, which again corresponds to a similarly named, but functionally different itertools
recipe (which is listed right below pairwise()
):
def grouper(n, iterable):
"s -> (s0,s1,...sn-1), (sn,sn+1,...s2n-1), (s2n,s2n+1,...s3n-1), ..."
return izip(*[iter(iterable)]*n)
Which could be used like this in your for
loop:
record = dict(grouper(2, fields))
Of course, for specific cases like this, it's easy to use functools.partial()
and create a similar pairwise()
function with it (which will work in both Python 2 & 3):
import functools
pairwise = functools.partial(grouper, 2)
Postscript
Unless there's a really huge number of fields, you could instead create a actual sequence out of the pairs of line items (rather than using a generator expression which has no len()
):
fields = tuple(field.strip() for field in line.split(','))
The advantage being that it would allow the grouping to be done using simple slicing:
try:
xrange
except NameError: # Python 3
xrange = range
def grouper(n, sequence):
for i in xrange(0, len(sequence), n):
yield sequence[i:i+n]
pairwise = functools.partial(grouper, 2)