Python：获取每个公司的最新日期

Question

I have a list of tuples, which consists of a date and a name of a company. A company can have info listed for multiple dates:

 [(Company A, datetime.date(1980,1,30)),
  (Company A, datetime.date(1990,1,30)),
  (Company B, datetime.date(1990,1,30)),
  (Company B, datetime.date(2000,1,30))]

What I want to do, is have a list that only includes the most recent date available for each company, ie the result:

 [(Company A, datetime.date(1990,1,30)),
  (Company B, datetime.date(2000,1,30))]

Any ideas?

Answer 1

how about using a groupby from itertools, then taking the max:

import datetime
x = [('Company A', datetime.date(1980,1,30)),
  ('Company A', datetime.date(1990,1,30)),
  ('Company B', datetime.date(1990,1,30)),
  ('Company B', datetime.date(2000,1,30))]

import itertools
out = []
for k,g in itertools.groupby(sorted(x, key = lambda y: y[0]), lambda y: y[0]):
    out.append(max(g, key = lambda y:y[1]))

out
[('Company A', datetime.date(1990, 1, 30)),
 ('Company B', datetime.date(2000, 1, 30))]

Answer 2

You could also use a dictionary ...

data = [('Company A', '1980,1,30'),
  ('Company A', '1990,1,30'),
  ('Company B', '1990,1,30'),
  ('Company B', '2000,1,30')]

datadict = { a:b for a,b in data }

for a, b in data:
    datadict[a] = max(b, datadict[a])

print(datadict)

Answer 3

Here's an example using reduce() :

import datetime

company_dates = [
  ('Company A', datetime.date(1980,1,30)),
  ('Company A', datetime.date(1990,1,30)),
  ('Company B', datetime.date(1990,1,30)),
  ('Company B', datetime.date(2000,1,30)),
]

def reducer(acc, company_date):
  try:
    acc[company_date[0]] = max(acc[company_date[0]], company_date[1])
  except KeyError:
    acc[company_date[0]] = company_date[1]

  return acc

sorted = reduce(reducer, company_dates, {})

print sorted.items()

Here's another alternative solution using different functions:

import datetime
import operator

company_dates = [
  ('Company A', datetime.date(1980,1,30)),
  ('Company A', datetime.date(1990,1,30)),
  ('Company B', datetime.date(1990,1,30)),
  ('Company B', datetime.date(2000,1,30)),
]

sorted = sorted(company_dates, key=operator.itemgetter(0, 1), reverse=True)
unique = set([company_date[0] for company_date in sorted])
top = [next(c for c in sorted if c[0] == company) for company in unique]

print top