我需要一个函数,它接受一个列表并输出True,如果输入列表中的所有元素使用标准相等运算符计算彼此相等,否则输出False。
我觉得最好是遍历列表,比较相邻的元素,然后与所有结果布尔值。但我不知道最python的方法是什么。
我需要一个函数,它接受一个列表并输出True,如果输入列表中的所有元素使用标准相等运算符计算彼此相等,否则输出False。
我觉得最好是遍历列表,比较相邻的元素,然后与所有结果布尔值。但我不知道最python的方法是什么。
当前回答
lambda lst: reduce(lambda a,b:(b,b==a[0] and a[1]), lst, (lst[0], True))[1]
下一个会短路:
all(itertools.imap(lambda i:yourlist[i]==yourlist[i+1], xrange(len(yourlist)-1)))
其他回答
最佳答案
Twitter上有一个不错的帖子,介绍了实现all_equal()函数的各种方法。
给定一个列表输入,最好的提交是:
t.count(t[0]) == len(t)
其他方法
下面是线程的结果:
Have groupby() compare adjacent entries. This has an early-out for a mismatch, does not use extra memory, and it runs at C speed. g = itertools.groupby(s) next(g, True) and not next(g, False) Compare two slices offset from one another by one position. This uses extra memory but runs at C speed. s[1:] == s[:-1] Iterator version of slice comparison. It runs at C speed and does not use extra memory; however, the eq calls are expensive. all(map(operator.eq, s, itertools.islice(s, 1, None))) Compare the lowest and highest values. This runs at C speed, doesn't use extra memory, but does cost two inequality tests per datum. min(s) == max(s) # s must be non-empty Build a set. This runs at C speed and uses little extra memory but requires hashability and does not have an early-out. len(set(t))==1. At great cost, this handles NaNs and other objects with exotic equality relations. all(itertools.starmap(eq, itertools.product(s, repeat=2))) Pull out the first element and compare all the others to it, stopping at the first mismatch. Only disadvantage is that this doesn't run at C speed. it = iter(s) a = next(it, None) return all(a == b for b in it) Just count the first element. This is fast, simple, elegant. It runs at C speed, requires no additional memory, uses only equality tests, and makes only a single pass over the data. t.count(t[0]) == len(t)
lambda lst: reduce(lambda a,b:(b,b==a[0] and a[1]), lst, (lst[0], True))[1]
下一个会短路:
all(itertools.imap(lambda i:yourlist[i]==yourlist[i+1], xrange(len(yourlist)-1)))
我想做的事:
not any((x[i] != x[i+1] for i in range(0, len(x)-1)))
as any一旦找到True条件就会停止搜索可迭代对象。
或者使用numpy的diff方法:
import numpy as np
def allthesame(l):
return np.unique(l).shape[0]<=1
并呼吁:
print(allthesame([1,1,1]))
输出:
True
不管怎样,这是最近在python想法邮件列表中出现的。事实证明,已经有一个itertools配方可以做到这一点
def all_equal(iterable):
"Returns True if all the elements are equal to each other"
g = groupby(iterable)
return next(g, True) and not next(g, False)
据说它的性能非常好,有一些不错的属性。
短路:一旦发现第一个不相等的项,它就会停止从可迭代对象中消费项目。 不要求项是可哈希的。 它是懒惰的,只需要O(1)个额外的内存来进行检查。
换句话说,我不能把提出这个解决方案的功劳占为己有,甚至我也不能把找到它的功劳占为己有。