Python列表中去重的多种方法,,怎么快速的对列表进行
Python列表中去重的多种方法,,怎么快速的对列表进行
怎么快速的对列表进行去重呢,去重之后原来的顺序会不会改变呢?
去重之后顺序会改变
set去重
列表去重改变原列表的顺序了
l1 = [1,4,4,2,3,4,5,6,1]l2 = list(set(l1))print(l2) # [1, 2, 3, 4, 5, 6]
但是,可以通过列表中索引(index)的方法保证去重后的顺序不变。
l1 = [1,4,4,2,3,4,5,6,1]l2 = list(set(l1))l2.sort(key=l1.index)print(l2) # [1, 4, 2, 3, 5, 6]itertools.groupby
itertools.groupby
import itertoolsl1 = [1,4,4,2,3,4,5,6,1]l1.sort()l = []it = itertools.groupby(l1)for k,g in it: l.append(k)print(l) # [1, 2, 3, 4, 5, 6]
fromkeys
l1 = [1,4,4,2,3,4,5,6,1]t = list({}.fromkeys(l1).keys())# 解决顺序问题t.sort(key=l1.index)print(t) # [1, 4, 2, 3, 5, 6]
通过删除索引
l1 = [1,4,4,2,3,4,5,6,1]t = l1[:]for i in l1: while t.count(i) >1: del t[t.index(i)]# 解决顺序问题t.sort(key=l1.index)print(t) # [1, 4, 2, 3, 5, 6]
去重不改变顺序
建立新列表[]
l1 = [1,4,4,2,3,4,5,6,1]new_l1 = []for i in l1: if i not in new_l1: new_l1.append(i)print(new_l1) # [1, 4, 2, 3, 5, 6]
reduce方法
from functools import reducel1 = [1,4,4,2,3,4,5,6,1]func = lambda x,y:x if y in x else x + [y]print(reduce(func,[[],]+l1)) # [1, 4, 2, 3, 5, 6]
Python列表中去重的多种方法
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