我在列表和词典方面遇到了麻烦。我有一份滑雪者词典清单。与下面类似:
skier_1 = {'id': 123,
'first_name': 'John',
'last_name': 'Smith',
'times': [('race_1', 32.25), ('race_2', 33.5), ('race_3', 44)]}
skier_2 = {'id': 234,
'first_name': 'Allison',
'last_name': 'Anderson',
'times': [('race_1', 29.5), ('race_2', 41), ('race_3', 40.25)]}
skier_3 = {'id': 456,
'first_name': 'Bob',
'last_name': 'Johnson',
'times': [('race_1', 31), ('race_2', 41), ('race_3', 39.75)]}
skiers = [skier_1, skier_2, skier_3]
我应该写一个函数来返回n滑雪词典的列表,其中传递的比赛时间最快。如果有一个平局,它应该被滑雪者ID打破。
def fastest_n_times(skiers, race_name, n):
我对如何使用字典skier_x中列表中元组的值对列表进行排序感到困惑。我的计划是完全对列表进行排序,然后返回最高点。我可以很容易地按滑雪者身份排序。
def fastest_n_times(skiers, race_name, n):
by_id = []
from operator import itemgetter
by_id = sorted(skiers, key=itemgetter('id'))
然而,把时间从词典中删除了。我不知道。我试过了:
for skier in skiers:
fastest_skiers = sorted(skiers, key=itemgetter(sort_key)(itemgetter('assignments')(skier)))
我知道这个循环不是正确的方法。但是,这会返回错误TypeError: 'tuple' object is not callable
。我知道元组是不可改变的,但我不知道为什么它不可调用?
def fastest_n_times(skiers, race_name, n):
fastest_skiers = []
from operator import itemgetter
fastest_skiers = sorted(skiers, key=itemgetter('how to get a specific value from a list of tuples'))
有人能指出我正确的方向吗?
谢谢!
编辑:
预期结果应该是这样的:
print(fastest_n_times(skiers, 'race_1', 2))
> [skier_2, skier_3]
print(fastest_n_times(skiers,'race_3', 3))
> [skier_3, skier_2, skier_1]
print(fastest_n_times(skiers, 'race_1', 2))
> [skier_2, skier_1]
print(fastest_n_times(skiers, 'race_2', 3))
> [skier_1, skier_2, skier_3]
print(fastest_n_times(skiers, 'race_1', 1))
> [skier_2]
编辑2: 我现在正在尝试为密钥创建自己的函数。我可以让比赛时间正确,但我不知道如何将它作为关键。我有:
def fastest_n_times(skiers, race_name, n):
fastest_times = []
fastest_times = sorted(skiers, key=get_race_key(???, race_name))
return(fastest_times[:n])
def get_race_key(skier, race_name):
key_values = []
key_values = [y for x,y in skier['race_name'] if x == race_name]
return(key_values[0])
我通常知道它会是这样的: faster_times = sorted(滑雪者,key = get_race_key)
但我需要将race_name传入正确的时间。
答案 0 :(得分:0)
为了比较元组,你必须访问时间键的值:
import collections
new_dict = collections.OrderedDict()
skier_1 = {'id':123,
'first_name':'John',
'last_name':'Smith',
'times':[('race_1',32.25),('race_2',33.5),('race_3',44)]}
skier_2 = {'id':234,
'first_name':'Allison',
'last_name':'Anderson',
'times':[('race_1',29.5),('race_2',41),('race_3',40.25)]}
skier_3 = {'id':456,
'first_name':'Bob',
'last_name':'Johnson',
'times':[('race_1',31),('race_2',41),('race_3',39.75)]}
skiers = [skier_1, skier_2, skier_3]
skiers_names=['skier_1','skier_2','skier_3']
for i,j in zip(skiers,skiers_names):
new_dict[j]=i.get('times')
new=[]
for i in skiers:
new.append(i.get('times'))
race_1=[]
race_2=[]
race_3=[]
for i in new:
race_1.append(i[0])
race_2.append(i[1])
race_3.append(i[2])
race_1.sort(key=lambda tup: tup[1]) # sorts in place
race_2.sort(key=lambda tup: tup[1]) # sorts in place
race_3.sort(key=lambda tup: tup[1]) # sorts in place
def fastest_n_times(skiers, race_name, n):
return_list=[]
for i in race_name[:n]:
for j,k in new_dict.items():
if i in k:
if j not in return_list:
return_list.append(j)
return return_list
输出:
>> print(fastest_n_times(skiers, race_1, 2))
['skier_2', 'skier_3']
>> print(fastest_n_times(skiers,race_3, 3))
['skier_3', 'skier_2', 'skier_1']
>> print(fastest_n_times(skiers, race_2, 3))
['skier_1', 'skier_2', 'skier_3']
>> print(fastest_n_times(skiers, race_1, 1))
['skier_2']
答案 1 :(得分:0)
要实施 faster_n_times 功能,首先需要为每位滑雪者收集所选比赛的时间,以便按时间排序。
然后,您可以提取 n 最快的滑雪者。
例如:
def fastest_n_times(skiers, selected_race, n):
time_skier_list = []
for skier in skiers:
for race, time in skier['times']:
if race == selected_race:
time_skier_list.append((time, skier))
time_skier_list.sort()
n_fastest = time_skier_list[:n]
return [f[1] for f in n_fastest]