[英]How to group a list of tuples based on similar fields and then keep the maximum based on another field? (without using Pandas)
我有類似的元組列表
bottles = [(1234, 'ICED', 'MOC12', 3), (1234, 'ICED', 'MOC12', 2), (3456, 'HOT', 'CAR23', 1), (3456, 'HOT', 'YUP23', 2)]
我想要每個組對應於最后一個字段的最大值的元組。 這些組由前三個值定義。
輸出：
result = [(1234, 'ICED', 'MOC12', 3),(3456, 'HOT', 'CAR23', 1),(3456, 'HOT','YUP23', 2)]
bottles = [(1234, 'ICED', 'MOC12', 3), (1234, 'ICED', 'MOC12', 2), (3456, 'HOT', 'CAR23', 1), (3456, 'HOT', 'YUP23', 2)]
sorted(bottles, key= lambda x: x[:3])
>>> [(1234, 'ICED', 'MOC12', 3),
(1234, 'ICED', 'MOC12', 2),
(3456, 'HOT', 'CAR23', 1),
(3456, 'HOT', 'YUP23', 2)]
您也可以使用max而不是sorted直接獲取max。
根據您的評論，這應該可行：
from itertools import groupby
bottles = [(1234, 'ICED', 'MOC12', 3), (1234, 'ICED', 'MOC12', 2), (3456, 'HOT', 'CAR23', 1), (3456, 'HOT', 'YUP23', 2)]
print([max(group) for key, group in groupby(sorted(bottles), lambda a: a[:3])])
如何將列表中的元組分組，這些元組具有與一項相似的值，然后根據另一項對它們進行排序？
[英]How can I group tuples inside a list that have a similar value of one item and then sort them based on another item?
如何根據元組中另一個值（第三個值）的降序對元組的排序列表（基於第二個值）中的相似值進行排序
[英]How to sort similar values in a sorted list (based on second value) of tuples based on another value(third value) in the tuple in descending order
如何基於最大值返回具有唯一元素的元組列表？
[英]How to return a list of tuples with unique elements based on maximum values?
Python (pandas) - 如何對一列中的值進行分組，然后根據另一列中的值刪除或保留該組
[英]Python (pandas) - How to group values in one column and then delete or keep that group based on values in another column
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