A = [a1, a2, a3...] #a1<a2<a3...
B = [b1, b2...] #b1<b2<b3...
A和B是不相交的。我是不是事先知道A / B中元素的数量和它们的价值。我想比较list和delete元素iff中的元素值:
delete a[i+1] if there is no b[j] such that a[i]<b[j]<a[i+1]
delete b[i+1] if there is no a[j] such that b[i]<a[j]<b[i+1]
最后,我想分开列表,而不是A和B的组合。
例如,如果A[0] < B[0]
,A = [1,10,40],B = [15,30]。首先比较A[1]
和B[0]
。删除10
,因为B中的元素不在1到15之间。
然后删除15
,因为btw 15和30不再存在任何元素。输出应为:如果您尝试对新2列表的元素进行排序,则应为A[0]<B[0]<A[1]<B[1]<...
如果A[0] > B[0]
,反之亦然。
答案 0 :(得分:1)
在编辑之前我想出了这个。但似乎输出不是你所期望的。无论如何,它可能会帮助你走上正确的轨道:
a = range(0, 30, 3)
b = range(0, 20, 2)
a.sort()
b.sort()
A = [a[i+1] for i in range(len(a)-1) if any(a[i]<b[j]<a[i+1] for j in range(len(b)-1))]
B = [b[i+1] for i in range(len(b)-1) if any(b[i]<a[j]<b[i+1] for j in range(len(a)-1))]
result = sorted(A+B)
print a, b
print result
这是“字面上”你所表达的内容,但result
这里并不是你所期望的。我会尽力改善这一点。
答案 1 :(得分:1)
a = [1, 10, 40]
b = [15, 30]
srcs = [a, b]
dsts = [[], []]
prev_which = -1
while all(srcs):
which = int(srcs[0][0] > srcs[1][0])
elem = srcs[which].pop(0)
if prev_which != which:
dsts[which].append(elem)
prev_which = which
for src, dst in zip(srcs,dsts):
if src:
dst.append(src.pop(0))
a, b = dsts
返回:
a = [1, 40]
b = [15]
和
a = [3, 4, 6, 7, 8, 9]
b = [1, 2, 5, 10]
它返回[3, 6]
和[1, 5, 10]
。
编辑:另一种可能性:
import itertools as it
import operator as op
a = [3, 4, 6, 7, 8, 9]
b = [1, 2, 5, 10]
srcs = [a, b]
dsts = [[], []]
for which, elems in it.groupby(sorted((x, i) for i in (0,1) for x in srcs[i]), key=op.itemgetter(1)):
dsts[which].append(next(elems)[0])
a, b = dsts
答案 2 :(得分:0)
我知道使用bisect模块可能是一个很好的解决方案:
>>> def sort_relative(L1, L2):
# Switch if needed
if L1[0] > L2[0]:
L1, L2 = L2, L1
i = 0
while i + 1 < max(len(L1), len(L2)):
try:
# We know that L1[i] < L2[i]
# Get indexes where L2[i] and L2[i + 1] should be inserted
i11 = bisect.bisect_left(L1, L2[i])
i12 = bisect.bisect_left(L1, L2[i + 1])
# This condition allows to know if one element of L1
# was found between L2[i] and L2[i + 1]:
# - if so, we have L1[i] < L2[i] < L1[i + 1] < L2[i + 1]
# - else we have L1[i] < L2[i] < L1[i + 1] but
# we don't know between L1[i + 1] and L2[i + 1]
if L1[i11] < L2[i + 1]:
L1 = L1[:i + 1] + [L1[i11]] + L1[i12:]
index1, index2 = i + 1, i + 2
else:
L1 = L1[:i + 1] + L1[i12:]
index1, index2 = i, i + 1
# Do the same kind of symetric search,
# with indexes computed above
i21 = bisect.bisect_left(L2, L1[index1])
i22 = bisect.bisect_left(L2, L1[index2])
if L2[i21] < L1[index2]:
L2 = L2[:index1] + [L2[i21]] + L2[i22:]
else:
L2 = L2[:index1] + L2[i22:]
# Little trick not to test indexes everywhere:
# lists are browsed at the same time
except IndexError:
pass
# Next index !
i += 1
# Show result
print 'L1:', L1, '- L2:', L2
>>> sort_relative([1, 10, 50], [15, 30])
L1: [1, 50] - L2: [15]
>>> sort_relative([17, 18, 50], [15, 30])
L1: [15, 30] - L2: [17, 50]
>>> sort_relative([1, 10, 12, 25, 27, 50], [15, 30, 70])
L1: [1, 25, 50] - L2: [15, 30, 70]
>>> sort_relative([1, 10, 12, 25, 27, 50], [15, 30, 34, 70])
L1: [1, 25, 50] - L2: [15, 30, 70]
>>>
当A
和B
中的数字同时出现时,我没有考虑这种情况。
答案 3 :(得分:0)
所以,如果我正确阅读,你的例子中所需的输出是[1,40]和[15],是吗?
如果是这样,以下结果会得到正确的结果,但我确信有更严格的方法可以做到。
a = [1, 10, 40]
b = [15, 30]
c = sorted([[e_a,'a'] for e_a in a] + [[e_b,'b'] for e_b in b])
indices = []
for i in range(len(c)-1):
if c[i][1] == c[i+1][1]:
indices.append(i+1)
for e in sorted(indices, reverse=True):
del c[e]
a,b = [e[0] for e in c if e[1]=='a'],[e[0] for e in c if e[1]=='b']
首先 - 合并列表并对其进行排序,同时跟踪它们来自哪个列表。
秒 - 然后删除合并列表中下一个项目来自同一源列表的所有实例。
第三 - 更新a和b。