Python在列表中查找项目索引的最快方法
如果要尝试在列表中查找某项的索引,则可以通过几种不同的方法来完成,这就是我所知道的最快的方法
If one was to attempt to find the indexes of an item in a list you could do it a couple different ways here is what I know to be the fastest
aList = [123, 'xyz', 'zara','xyz', 'abc'];
indices = [i for i, x in enumerate(aList) if x == "xyz"]
print(indices)
另一种方法不是pythonic且速度较慢
Another way not pythonic and slower
count = 0
indices = []
aList = [123, 'xyz', 'zara','xyz', 'abc'];
for i in range(0,len(aList):
if 'xyz' == aList[i]:
indices.append(i)
print(indices)
毫无疑问,第一种方法会更快,但是如果您想更快一点,该怎么办呢?第一个使用方法的索引
the first method is undoubtedly faster however what if you wanted to go faster is there a way? for the first index using method
aList = [123, 'xyz', 'zara','xyz', 'abc'];
print "Index for xyz : ", aList.index( 'xyz' )
速度非常快,但无法处理多个索引.如何加快速度?
is very fast but cant handle multiple indexes How might one go about speeding things up?
def find(target, myList):
for i in range(len(myList)):
if myList[i] == target:
yield i
def find_with_list(myList, target):
inds = []
for i in range(len(myList)):
if myList[i] == target:
inds += i,
return inds
In [8]: x = range(50)*200
In [9]: %timeit [i for i,j in enumerate(x) if j == 3]
1000 loops, best of 3: 598 us per loop
In [10]: %timeit list(find(3,x))
1000 loops, best of 3: 607 us per loop
In [11]: %timeit find(3,x)
1000000 loops, best of 3: 375 ns per loop
In [55]: %timeit find_with_list(x,3)
1000 loops, best of 3: 618 us per loop
假设您想要一个列表作为输出: 在我的测试中,所有选项似乎都表现出类似的时间性能,列表理解最快(几乎没有).
Assuming you want a list as your output: All options seemed exhibit similar time performance for my test with the list comprehension being the fastest (barely).
如果您对返回生成器很满意,那么它比其他方法要快得多.认为它并没有考虑实际对索引进行迭代,也没有存储索引,因此无法再次对inds进行迭代.
And if you're cool with returning a generator, it's way faster than the other approaches. Thought it doesn't account for actually iterating over the indices, nor does it store them, so the inds cannot be iterated over a second time.