我试图循环一个带有for
循环的字典,以按其中一个值元素(击球顺序号)的顺序显示键和值。
我可以按照预期的格式打印键和值,但我无法弄清楚如何以正确的击球顺序获得线条。
我需要在for循环和中使用逻辑来完成此任务,而不使用lambda或函数。这是我到目前为止所拥有的:
print ('Rays starters' + "\n")
rays_starters = {
'DeJesus' : ['DH', 6, 299],
'Loney' : ['1B', 4, 222],
'Rivera' : ['C', 9, 194],
'Forsythe' : ['2B', 5, 304],
'Souza Jr' : ['RF', 2, 229],
'Longoria' : ['3B', 3, 282],
'Cabrera' : ['SS', 7, 214],
'Kiermaier' : ['CF', 1, 240],
'Guyer' : ['LF', 8, 274] }
for player in rays_starters:
print (player + str(rays_starters[player]))
print ('\n' + 'Today\'s lineup' + '\n')
for player in rays_starters:
batting_order = rays_starters.get(player)
print('Batting ' + str(batting_order[1]) + ' : ' + str(batting_order[0]) + ' ' + player + ' ,current avg: ' + str(batting_order[2]))
输出应如下所示:
Rays starters
DeJesus ['DH', 6, 299]
Loney ['1B', 4, 222]
Rivera ['C', 9, 194]
Forsythe ['2B', 5, 304]
Souza Jr ['RF', 2, 229]
Longoria ['3B', 3, 282]
Cabrera ['SS', 7, 214]
Kiermaier ['CF', 1, 240]
Guyer ['LF', 8, 274]
Today's lineup
Batting 1 : CF Kiermaier ,current avg: 240
Batting 2 : RF Souza Jr ,current avg: 229
Batting 3 : 3B Longoria ,current avg: 282
Batting 4 : 1B Loney ,current avg: 222
Batting 5 : 2B Forsythe ,current avg: 304
Batting 6 : DH DeJesus ,current avg: 299
Batting 7 : SS Cabrera ,current avg: 214
Batting 8 : LF Guyer ,current avg: 274
Batting 9 : C Rivera ,current avg: 194
我的输出实际上看起来与此完全相同,但击球顺序不正常。请帮助我走上正确的轨道并记住我在这里学习,所以欢迎任何有用的批评!
答案 0 :(得分:4)
这是一种有效的方式,因为我们知道将有9个击球手。
lineup = [None] * 9
for player, stats in rays_starters.items():
lineup[stats[1]-1] = player, stats
print ('\nToday\'s lineup\n')
for player, batting_order in lineup:
print('Batting ' + str(batting_order[1]) + ' : ' + str(batting_order[0]) + ' ' + player + ' ,current avg: ' + str(batting_order[2]))
我们所做的就是初始化一个包含9个元素的数组,并使用击球顺序将玩家和统计数据作为元组映射到正确的数组索引。然后我们遍历播放器和统计元组的数组,并打印所需的格式化输出。这是O(n)。
这个概念基本上来自Radix sort,或者更具体地来说,是Counting sort的一个非常简单的例子,其中所有频率都是1而“关键函数”只是从击球顺序中减去1获取数组索引。
正如@PadraicCunningham在评论中指出的那样,理论上可以使用len
函数将其用于任意数量的击球手。
答案 1 :(得分:2)
字典没有订单,因此您无法对它们进行排序。但是,您可以迭代其值in a sorted manner。为此,您可以使用sorted()
和一个键函数来指定在传递(key, value)
元组时如何获取值:
for player, batting in sorted(rays_starters.items(), key=lambda x: x[1][1]):
print('Batting {1} : {0} {player}, current avg: {2}'.format(*batting, player=player))
对于您的rays_starters
字典,这将产生以下结果:
Batting 1 : CF Kiermaier, current avg: 240
Batting 2 : RF Souza Jr, current avg: 229
Batting 3 : 3B Longoria, current avg: 282
Batting 4 : 1B Loney, current avg: 222
Batting 5 : 2B Forsythe, current avg: 304
Batting 6 : DH DeJesus, current avg: 299
Batting 7 : SS Cabrera, current avg: 214
Batting 8 : LF Guyer, current avg: 274
Batting 9 : C Rivera, current avg: 194
如果您无法指定此类关键功能,则必须自行实施排序。为此,您可以先将字典转换为列表,然后再对其进行排序。为了不需要键功能,您应该构造该列表,以便您要排序的值是列表中的第一个:
data = []
for player, batting in rays_starters.items():
data.append((batting[1], player, batting[0], batting[2]))
# now sort the list
data.sort()
# and iterate and print
for player in data:
print('Batting {0} : {1} {2}, current avg: {3}'.format(*player))
您还可以使用列表推导创建data
列表:
data = [(b[1], p, b[0], b[2]) for p, b in rays_starters.items()]
答案 2 :(得分:2)
如果你不能使用min,lambdas,sorted和其他函数调用等手动找到从最低点开始播放击球次数最少的玩家:
out = []
cp = rays_starters.copy()
# keep going while the dict is not empty
while cp:
mn = float("inf")
it = None
# iterate over the item to find the min each time
# from remaining items
for k, v in cp.items():
if v[1] < mn:
mn = v[1]
it = (k, v)
# append current it k/v pair which has the lowest
# batting number
out.append(it)
# remove the key so we can get the next lowest
del cp[it[0]]
for k,v in out:
print("{} {}".format(k,v))
输出:
Kiermaier ['CF', 1, 240]
Souza Jr ['RF', 2, 229]
Longoria ['3B', 3, 282]
Loney ['1B', 4, 222]
Forsythe ['2B', 5, 304]
DeJesus ['DH', 6, 299]
Cabrera ['SS', 7, 214]
Guyer ['LF', 8, 274]
Rivera ['C', 9, 194]
或者没有复制:
out = []
seen = set()
# for every player in the dict
for _ in rays_starters):
mn = float("inf")
it = None
# again get min each time based on the batting number
for k, v in rays_starters.items():
# this time we make sure we have not already used
# the player
if v[1] < mn and k not in seen:
mn = v[1]
it = (k, v)
out.append(it)
# add the name of the player that matches our current min
seen.add(it[0])
for k,v in out:
print("{} {}".format(k,v))
如果你可以实际排序或使用排序使用击球数作为关键,只需对项目进行排序:
temp = {v[1]:[k]+v for k, v in rays_starters.items()}
for k ,v in sorted(temp.items()):
print("{} {}".format(v[0], v[1:]))
Kiermaier ['CF', 1, 240]
Souza Jr ['RF', 2, 229]
Longoria ['3B', 3, 282]
Loney ['1B', 4, 222]
Forsythe ['2B', 5, 304]
DeJesus ['DH', 6, 299]
Cabrera ['SS', 7, 214]
Guyer ['LF', 8, 274]
Rivera ['C', 9, 194]
如果击球总是从1开始:
temp = {v[1]:[k]+v for k, v in rays_starters.items()}
for k in range(1,len(rays_starters)+1):
v = temp[k]
print("{} {}".format(v[0], list(v[1:])))
您可以打开包装进行打印:
temp = {v[1]:[k]+v for k, v in rays_starters.items()}
for k in range(1,len(rays_starters)+1):
name, nm, btn, avg = temp[k]
print("Batting: {} {} {}, current avg: {}".format(btn, name, nm, avg))
输出:
Batting: 1 Kiermaier CF, current avg: 240
Batting: 2 Souza Jr RF, current avg: 229
Batting: 3 Longoria 3B, current avg: 282
Batting: 4 Loney 1B, current avg: 222
Batting: 5 Forsythe 2B, current avg: 304
Batting: 6 DeJesus DH, current avg: 299
Batting: 7 Cabrera SS, current avg: 214
Batting: 8 Guyer LF, current avg: 274
Batting: 9 Rivera C, current avg: 194
答案 3 :(得分:2)
这样做非常简单而且非常无效的方法是在数组上迭代len(rays_starters)次数,并且每次只打印匹配顺序的结果。
for i in range (1, len(rays_starters)+1):
for player in rays_starters:
if rays_starters[player][1] == i:
print('Batting ' + str(rays_starters[player][1]) + ' : ' + \
rays_starters[player][1] + ' ' + player + ' ,current avg: ' + \
rays_starters[player][1])
答案 4 :(得分:1)
似乎更好的方法是处理namedtuples
from collections import namedtuple
Player = namedtuple("Player", ['name', 'position', 'order', 'avg'])
players = [Player(*info) for info in [("DeJesus", "DH", 6, 299),
('Loney', '1B', 4, 222),
...]]
players.sort(key=lambda p: p.order)
for player in players:
print("Batting {p.order} : {p.position} {p.name}, current avg {p.avg}".format(p=p))
答案 5 :(得分:0)
我迟到了,但我想加入这个黑客攻击:
>>> for x in {v[1]:'Batting {2} : {1} {0} ,current avg: {3}'.format(k,*v)
for k,v in rays_starters.items()}.values():
print(x)
Batting 1 : CF Kiermaier ,current avg: 240
Batting 2 : RF Souza Jr ,current avg: 229
Batting 3 : 3B Longoria ,current avg: 282
Batting 4 : 1B Loney ,current avg: 222
Batting 5 : 2B Forsythe ,current avg: 304
Batting 6 : DH DeJesus ,current avg: 299
Batting 7 : SS Cabrera ,current avg: 214
Batting 8 : LF Guyer ,current avg: 274
Batting 9 : C Rivera ,current avg: 194
不要这样做,它依赖于字典项的实际但不保证的顺序。我只是发布它用于寓教于乐。
另一方面,如果你删除一些玩家,它仍然有效,不像接受的答案:-P