元组对,使用 python 找到最小值
问题描述
我想找到按给定列排序的元组列表的最小值.例如,我将一些数据排列为 2 元组列表.
I want to find the minimum of a list of tuples sorting by a given column. I have some data arranged as a list of 2-tuples for example.
data = [ (1, 7.57), (2, 2.1), (3, 1.2), (4, 2.1), (5, 0.01),
(6, 0.5), (7, 0.2), (8, 0.6)]
如何仅通过比较元组中的第二个数字来找到数据集的最小值?
How may I find the min of the dataset by the comparison of the second number in the tuples only?
即
data[0][1] = 7.57
data[1][1] = 2.1
min( 数据 ) = (5, 0.01)
min( data ) = (5, 0.01)
min(data)
返回 (1, 7.57)
,我接受它对于索引 0 的最小值是正确的,但我想要索引 1 的最小值.
min( data )
returns (1, 7.57)
, which I accept is correct for the minimum of index 0, but I want minimum of index 1.
解决方案
In [2]: min(data, key = lambda t: t[1])
Out[2]: (5, 0.01)
或:
In [3]: import operator
In [4]: min(data, key=operator.itemgetter(1))
Out[4]: (5, 0.01)
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