如何在numpy数组中删除相邻的重复值? [英] How to remove the adjacent duplicate value in a numpy array?
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问题描述
给定一个numpy数组,我希望删除相邻的重复非零值和所有零值.例如,对于这样的数组:[0,0,1,1,1,2,2,0,1,3,3,3]
,我想将其转换为:[1,2,1,3]
.你知道怎么做吗?我只知道np.unique(arr)
,但是它将删除所有重复的值并保持零值.预先谢谢你!
Given a numpy array, I wish to remove the adjacent duplicate non-zero value and all the zero value. For instance, for an array like that: [0,0,1,1,1,2,2,0,1,3,3,3]
, I'd like to transform it to: [1,2,1,3]
. Do you know how to do it? I just know np.unique(arr)
but it would remove all the duplicate value and keep the zero value. Thank you in advance!
推荐答案
对于以下问题,可以将itertools
中的groupby
方法与列表理解结合使用:
You can use the groupby
method from itertools
combined with list comprehension for this problem:
from itertools import groupby
[k for k,g in groupby(a) if k!=0]
# [1,2,1,3]
数据:
a = [0,0,1,1,1,2,2,0,1,3,3,3]
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