使用Python替换列表中的值 [英] Replace values in list using Python
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问题描述
我有一个列表,希望在其中condition()返回True的情况下用None替换值.
I have a list where I want to replace values with None where condition() returns True.
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
例如,如果条件检查bool(item%2)应该返回:
For example, if condition checks bool(item%2) should return:
[None, 1, None, 3, None, 5, None, 7, None, 9, None]
最有效的方法是什么?
推荐答案
使用列表理解功能构建新列表:
Build a new list with a list comprehension:
new_items = [x if x % 2 else None for x in items]
如果需要,您可以就地修改原始列表,但实际上并没有节省时间:
You can modify the original list in-place if you want, but it doesn't actually save time:
items = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
for index, item in enumerate(items):
if not (item % 2):
items[index] = None
以下(Python 3.6.3)计时说明了非节时:
Here are (Python 3.6.3) timings demonstrating the non-timesave:
In [1]: %%timeit
...: items = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
...: for index, item in enumerate(items):
...: if not (item % 2):
...: items[index] = None
...:
1.06 µs ± 33.7 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each)
In [2]: %%timeit
...: items = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
...: new_items = [x if x % 2 else None for x in items]
...:
891 ns ± 13.6 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each)
和Python 2.7.6的计时:
And Python 2.7.6 timings:
In [1]: %%timeit
...: items = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
...: for index, item in enumerate(items):
...: if not (item % 2):
...: items[index] = None
...:
1000000 loops, best of 3: 1.27 µs per loop
In [2]: %%timeit
...: items = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
...: new_items = [x if x % 2 else None for x in items]
...:
1000000 loops, best of 3: 1.14 µs per loop
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