In a list of list of dicts:
在一系列dicts列表中:
A = [
[{'x': 1, 'y': 0}, {'x': 2, 'y': 3}, {'x': 3, 'y': 4}, {'x': 4, 'y': 7}],
[{'x': 1, 'y': 0}, {'x': 2, 'y': 2}, {'x': 3, 'y': 13}, {'x': 4, 'y': 0}],
[{'x': 1, 'y': 20}, {'x': 2, 'y': 4}, {'x': 3, 'y': 0}, {'x': 4, 'y': 8}]
]
I need to retrieve the highest 'y' values from each of the list of dicts...so the resulting list would contain:
我需要从每个dicts列表中检索最高的'y'值...所以结果列表将包含:
Z = [(4, 7), (3,13), (1,20)]
In A, the 'x' is the key of each dict while 'y' is the value of each dict.
在A中,'x'是每个字典的关键,而'y'是每个字典的值。
Any ideas? Thank you.
有任何想法吗?谢谢。
4 个解决方案
#1
6
max
accept optional key
parameter.
max accept可选键参数。
A = [
[{'x': 1, 'y': 0}, {'x': 2, 'y': 3}, {'x': 3, 'y': 4}, {'x': 4, 'y': 7}],
[{'x': 1, 'y': 0}, {'x': 2, 'y': 2}, {'x': 3, 'y': 13}, {'x': 4, 'y': 0}],
[{'x': 1, 'y': 20}, {'x': 2, 'y': 4}, {'x': 3, 'y': 0}, {'x': 4, 'y': 8}]
]
Z = []
for a in A:
d = max(a, key=lambda d: d['y'])
Z.append((d['x'], d['y']))
print Z
UPDATE
UPDATE
suggested by – J.F. Sebastian:
建议 - J.F. Sebastian:
from operator import itemgetter
Z = [itemgetter(*'xy')(max(lst, key=itemgetter('y'))) for lst in A]
#2
5
I'd use itemgetter
and max
's key
argument:
我使用itemgetter和max的关键参数:
from operator import itemgetter
pair_getter = itemgetter('x', 'y')
[pair_getter(max(d, key=itemgetter('y'))) for d in A]
#3
4
[max(((d['x'], d['y']) for d in l), key=lambda t: t[1]) for l in A]
#4
2
The solution to your stated problem has been given, but I suggest changing your underlying data structure. Tuples are much faster for small elements such as a point. You may retain the clarity of a dictionary by using namedtuple
if you so desire.
已经给出了所述问题的解决方案,但我建议更改您的基础数据结构。对于诸如点之类的小元素,元组要快得多。如果您愿意,可以使用namedtuple保留字典的清晰度。
>>> from collections import namedtuple
>>> A = [
[{'x': 1, 'y': 0}, {'x': 2, 'y': 3}, {'x': 3, 'y': 4}, {'x': 4, 'y': 7}],
[{'x': 1, 'y': 0}, {'x': 2, 'y': 2}, {'x': 3, 'y': 13}, {'x': 4, 'y': 0}],
[{'x': 1, 'y': 20}, {'x': 2, 'y': 4}, {'x': 3, 'y': 0}, {'x': 4, 'y': 8}]
]
Making a Point
namedtuple is simple
制作一个名为littletuple的点很简单
>>> Point = namedtuple('Point', 'x y')
This is what an instance looks like
这是一个实例的样子
>>> Point(x=1, y=0) # Point(1, 0) also works
Point(x=1, y=0)
A
would then look like this
那么A会是这样的
>>> A = [[Point(**y) for y in x] for x in A]
>>> A
[[Point(x=1, y=0), Point(x=2, y=3), Point(x=3, y=4), Point(x=4, y=7)],
[Point(x=1, y=0), Point(x=2, y=2), Point(x=3, y=13), Point(x=4, y=0)],
[Point(x=1, y=20), Point(x=2, y=4), Point(x=3, y=0), Point(x=4, y=8)]]
Now working like this is much easier:
现在这样工作要容易得多:
>>> from operator import attrgetter
>>> [max(row, key=attrgetter('y')) for row in A]
[Point(x=4, y=7), Point(x=3, y=13), Point(x=1, y=20)]
To retain the speed advantages of tuples it's better to access by index:
要保留元组的速度优势,最好通过索引访问:
>>> from operator import itemgetter
>>> [max(row, key=itemgetter(2)) for row in A]
[Point(x=4, y=7), Point(x=3, y=13), Point(x=1, y=20)]
#1
6
max
accept optional key
parameter.
max accept可选键参数。
A = [
[{'x': 1, 'y': 0}, {'x': 2, 'y': 3}, {'x': 3, 'y': 4}, {'x': 4, 'y': 7}],
[{'x': 1, 'y': 0}, {'x': 2, 'y': 2}, {'x': 3, 'y': 13}, {'x': 4, 'y': 0}],
[{'x': 1, 'y': 20}, {'x': 2, 'y': 4}, {'x': 3, 'y': 0}, {'x': 4, 'y': 8}]
]
Z = []
for a in A:
d = max(a, key=lambda d: d['y'])
Z.append((d['x'], d['y']))
print Z
UPDATE
UPDATE
suggested by – J.F. Sebastian:
建议 - J.F. Sebastian:
from operator import itemgetter
Z = [itemgetter(*'xy')(max(lst, key=itemgetter('y'))) for lst in A]
#2
5
I'd use itemgetter
and max
's key
argument:
我使用itemgetter和max的关键参数:
from operator import itemgetter
pair_getter = itemgetter('x', 'y')
[pair_getter(max(d, key=itemgetter('y'))) for d in A]
#3
4
[max(((d['x'], d['y']) for d in l), key=lambda t: t[1]) for l in A]
#4
2
The solution to your stated problem has been given, but I suggest changing your underlying data structure. Tuples are much faster for small elements such as a point. You may retain the clarity of a dictionary by using namedtuple
if you so desire.
已经给出了所述问题的解决方案,但我建议更改您的基础数据结构。对于诸如点之类的小元素,元组要快得多。如果您愿意,可以使用namedtuple保留字典的清晰度。
>>> from collections import namedtuple
>>> A = [
[{'x': 1, 'y': 0}, {'x': 2, 'y': 3}, {'x': 3, 'y': 4}, {'x': 4, 'y': 7}],
[{'x': 1, 'y': 0}, {'x': 2, 'y': 2}, {'x': 3, 'y': 13}, {'x': 4, 'y': 0}],
[{'x': 1, 'y': 20}, {'x': 2, 'y': 4}, {'x': 3, 'y': 0}, {'x': 4, 'y': 8}]
]
Making a Point
namedtuple is simple
制作一个名为littletuple的点很简单
>>> Point = namedtuple('Point', 'x y')
This is what an instance looks like
这是一个实例的样子
>>> Point(x=1, y=0) # Point(1, 0) also works
Point(x=1, y=0)
A
would then look like this
那么A会是这样的
>>> A = [[Point(**y) for y in x] for x in A]
>>> A
[[Point(x=1, y=0), Point(x=2, y=3), Point(x=3, y=4), Point(x=4, y=7)],
[Point(x=1, y=0), Point(x=2, y=2), Point(x=3, y=13), Point(x=4, y=0)],
[Point(x=1, y=20), Point(x=2, y=4), Point(x=3, y=0), Point(x=4, y=8)]]
Now working like this is much easier:
现在这样工作要容易得多:
>>> from operator import attrgetter
>>> [max(row, key=attrgetter('y')) for row in A]
[Point(x=4, y=7), Point(x=3, y=13), Point(x=1, y=20)]
To retain the speed advantages of tuples it's better to access by index:
要保留元组的速度优势,最好通过索引访问:
>>> from operator import itemgetter
>>> [max(row, key=itemgetter(2)) for row in A]
[Point(x=4, y=7), Point(x=3, y=13), Point(x=1, y=20)]