Reputation: 2405
I have a list of stings representing a month in a year (not sorted and not consecutive):
['1/2013', '7/2013', '2/2013', '3/2013', '4/2014', '12/2013', '10/2013', '11/2013', '1/2014', '2/2014']
I'm looking for a Pythonic way to sort all of them and separate each consecutive sequence as the following suggests:
[ ['1/2013', '2/2013', '3/2013', '4/2013'],
['7/2013'],
['10/2013', '11/2013', '12/2013', '1/2014', '2/2014']
]
Any ideas?
Upvotes: 4
Views: 535
Reputation: 414585
Based on the example from the docs that shows how to find runs of consecutive numbers using itertools.groupby()
:
from itertools import groupby
from pprint import pprint
def month_number(date):
month, year = date.split('/')
return int(year) * 12 + int(month)
L = [[date for _, date in run]
for _, run in groupby(enumerate(sorted(months, key=month_number)),
key=lambda (i, date): (i - month_number(date)))]
pprint(L)
The key to the solution is differencing with a range generated by enumerate()
so that consecutive months all appear in same group (run).
[['1/2013', '2/2013', '3/2013'],
['7/2013'],
['10/2013', '11/2013', '12/2013', '1/2014', '2/2014'],
['4/2014']]
Upvotes: 4
Reputation: 40894
Well, here's one without itertools and as short as I could make it without hurting readability. The trick is in use of zip
. It's basically @moe's answer unwrapped a bit.
def parseAsPair(piece):
"""Transforms things like '7/2014' into (2014, 7) """
m, y = piece.split('/')
return (int(y), int(m))
def goesAfter(earlier, later):
"""Returns True iff earlier goes right after later."""
earlier_y, earlier_m = earlier
later_y, later_m = later
if earlier_y == later_y: # same year?
return later_m == earlier_m + 1 # next month
else: # next year? must be Dec -> Jan
return later_y == earlier_y + 1 and earlier_m == 12 and later_m == 1
def groupSequentially(months):
result = [] # final result
if months:
sorted_months = sorted(months, key=parseAsPair)
span = [sorted_months[0]] # current span; has at least the first month
for earlier, later in zip(sorted_months, sorted_months[1:]):
if not goesAfter(parseAsPair(earlier), parseAsPair(later)):
# current span is over
result.append(span)
span = []
span.append(later)
# last span was not appended because sequence ended without breaking
result.append(span)
return result
Trying it:
months =['1/2013', '7/2013', '2/2013', '3/2013', '4/2014', '12/2013',
'10/2013', '11/2013', '1/2014', '2/2014']
print groupSequentially(months) # output wrapped manually
[['1/2013', '2/2013', '3/2013'],
['7/2013'],
['10/2013', '11/2013', '12/2013', '1/2014', '2/2014'],
['4/2014']]
We could save a bit of performance and cognitive load if we mapped parseAsPair
over the list in the very end. Then every invocation of parseAsPair
could be removed from groupSequentially
, but we'd have to transform the result to strings again.
Upvotes: 0
Reputation: 58281
If you wants to just sort your list then use sorted function and pass key
value = a function that converts date-string into Python's datetime
object as lambda d: datetime.strptime(d, '%m/%Y')
, check following code example for your list as L
:
>>> from datetime import datetime
>>> sorted(L, key = lambda d: datetime.strptime(d, '%m/%Y'))
['1/2013', '2/2013', '3/2013', '7/2013', '10/2013',
'11/2013', '12/2013', '1/2014', '2/2014', '4/2014'] # indented by hand
To split "list of month/year strings" into "list of list of consecutive months", you can use following script (read comments), In which, first I sorted the list L
then groups strings on the basis of consecutive month (to check consecutive month I written a function):
def is_cm(d1, d2):
""" is consecutive month pair?
: Assumption d1 is older day's date than d2
"""
d1 = datetime.strptime(d1, '%m/%Y')
d2 = datetime.strptime(d2, '%m/%Y')
y1, y2 = d1.year, d2.year
m1, m2 = d1.month, d2.month
if y1 == y2: # if years are same d2 should be in next month
return (m2 - m1) == 1
elif (y2 - y1) == 1: # if years are consecutive
return (m1 == 12 and m2 == 1)
It works as follows:
>>> is_cm('1/2012', '2/2012')
True # yes, consecutive
>>> is_cm('12/2012', '1/2013')
True # yes, consecutive
>>> is_cm('1/2015', '12/2012') # None --> # not consecutive
>>> is_cm('12/2012', '2/2013')
False # not consecutive
Code to split your code:
def result(dl):
"""
dl: dates list - a iterator of 'month/year' strings
type: list of strings
returns: list of lists of strings
"""
#Sort list:
s_dl = sorted(dl, key=lambda d: datetime.strptime(d, '%m/%Y'))
r_dl = [] # list to be return
# split list into list of lists
t_dl = [s_dl[0]] # temp list
for d in s_dl[1:]:
if not is_cm(t_dl[-1], d): # check if months are not consecutive
r_dl.append(t_dl)
t_dl = [d]
else:
t_dl.append(d)
return r_dl
result(L)
Don't forget to include from datetime import datetime
, This trick I believe you can easily update for a new list of dates in which dates are in other format.
After @9000 hint I could simplified my sorted function and removed old answer if you wants to check old script check @codepad.
Upvotes: 1
Reputation: 472
The groupby examples are cute, but too dense and will break on this input: ['1/2013', '2/2017']
, i.e. when there are adjacent months from non-adjacent years.
from datetime import datetime
from dateutil.relativedelta import relativedelta
def areAdjacent(old, new):
return old + relativedelta(months=1) == new
def parseDate(s):
return datetime.strptime(s, '%m/%Y')
def generateGroups(seq):
group = []
last = None
for (current, formatted) in sorted((parseDate(s), s) for s in seq):
if group and last is not None and not areAdjacent(last, current):
yield group
group = []
group.append(formatted)
last = current
if group:
yield group
Result:
[['1/2013', '2/2013', '3/2013'],
['7/2013'],
['10/2013', '11/2013', '12/2013', '1/2014', '2/2014'],
['4/2014']]
Upvotes: 2
Reputation: 114559
An easy solution in this specific case (not many elements) is just to iterate over all the months:
year = dates[0].split('/')[1]
result = []
current = []
for i in range(1, 13):
x = "%i/%s" % (i, year)
if x in dates:
current.append(x)
if len(current) == 1:
result.append(current)
else:
current = []
Upvotes: 0