问题描述
我为此花了很多时间.我对使用键参数进行排序有一些了解.
I have searched lot of time for this. I have got some idea about sorting using key parameter.
我有一个这样的元组列表.它是通过OpenCV Hough Circle检测获得的.
I have a list of tuple like this. It's got by OpenCV Hough Circle detection.
correctC = [(298, 172, 25), (210, 172, 25), (470, 172, 25), (386, 172, 22), (648, 172, 25), (384, 44, 22), (558, 110, 22), (562, 170, 25), (382, 108, 25), (734, 172, 25), (126, 172, 24), (646, 44, 22), (296, 110, 23), (126, 234, 26), (470, 236, 25), (296, 44, 25), (208, 108, 24), (38, 170, 25), (730, 110, 22), (730, 44, 25), (468, 110, 23), (468, 44, 25), (208, 44, 25), (124, 44, 22), (558, 44, 22), (36, 110, 24), (36, 44, 22), (298, 234, 26), (210, 236, 25), (648, 234, 25), (732, 234, 22), (562, 234, 26), (384, 236, 25), (38, 234, 26), (646, 110, 25), (124, 112, 27)]
它具有3个值.中心坐标(x，y)和半径.
It has 3 values. center coordinate(x,y) and radius.
我需要使用x和y值对所有元组进行排序.
I need to sort all tuples using it's x and y value.
我可以单独进行此排序.
I can do this sorting separately.
xS=sorted(correctC,key=lambda correctC: correctC[0])
这是根据x值排序的，仅 .
This is sort according to x value only.
yS=sorted(correctC,key=lambda correctC: correctC[1])
这是根据y值排序的，仅 .
This is sort according to y value only.
如何使用一个表达式同时执行两个操作(根据x值和y值)?
How can I do both(according to x value and y value) using one expression?
我正在使用Python 2.7
I'm using Python 2.7
推荐答案
据我所知，这很有帮助:
From what I can see, this helps:
sorted(correctC, key=lambda correctC:[correctC[0],correctC[1]])
排序结果:
[(36, 44, 22), (36, 110, 24), (38, 170, 25), (38, 234, 26), (124, 44, 22), (124, 112, 27), (126, 172, 24), (126, 234, 26), (208, 44, 25), (208, 108, 24), (210, 172, 25), (210, 236, 25), (296, 44, 25), (296, 110, 23), (298, 172, 25), (298, 234, 26), (382, 108, 25), (384, 44, 22), (384, 236, 25), (386, 172, 22), (468, 44, 25), (468, 110, 23), (470, 172, 25), (470, 236, 25), (558, 44, 22), (558, 110, 22), (562, 170, 25), (562, 234, 26), (646, 44, 22), (646, 110, 25), (648, 172, 25), (648, 234, 25), (730, 44, 25), (730, 110, 22), (732, 234, 22), (734, 172, 25)]
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