转载https://www.cnblogs.com/wushaogui/p/9241931.html
1.定义减层方法
import functools
import itertools
import numpy
import operator
import perfplot
from collections import Iterable # or from collections.abc import Iterable
from iteration_utilities import deepflatten
#使用两次for循环
def forfor(a):
return [item for sublist in a for item in sublist]
#通过sum
def sum_brackets(a):
return sum(a, [])
#使用functools內建模块
def functools_reduce(a):
return functools.reduce(operator.concat, a)
#使用itertools內建模块
def itertools_chain(a):
return list(itertools.chain.from_iterable(a))
#使用numpy
def numpy_flat(a):
return list(numpy.array(a).flat)
#使用numpy
def numpy_concatenate(a):
return list(numpy.concatenate(a))
#自定义函数
def flatten(items):
"""Yield items from any nested iterable; see REF."""
for x in items:
if isinstance(x, Iterable) and not isinstance(x, (str, bytes)):
yield from flatten(x)
else:
yield x
def pylangs_flatten(a):
return list(flatten(a))
#使用库iteration_utilities
def iteration_utilities_deepflatten(a):
return list(deepflatten(a, depth=1))
2.测试
a=[[1,2,3],[4,5,6],[7,8,9]]
print(a)
print('--------------------------')
print(forfor(a))
print(sum_brackets(a))
print(functools_reduce(a))
print(itertools_chain(a))
print(numpy_flat(a))
print(numpy_concatenate(a))
print(pylangs_flatten(a))
print(iteration_utilities_deepflatten(a))
输出:
[[1, 2, 3], [4, 5, 6], [7, 8, 9]]
--------------------------
[1, 2, 3, 4, 5, 6, 7, 8, 9]
[1, 2, 3, 4, 5, 6, 7, 8, 9]
[1, 2, 3, 4, 5, 6, 7, 8, 9]
[1, 2, 3, 4, 5, 6, 7, 8, 9]
[1, 2, 3, 4, 5, 6, 7, 8, 9]
[1, 2, 3, 4, 5, 6, 7, 8, 9]
[1, 2, 3, 4, 5, 6, 7, 8, 9]
[1, 2, 3, 4, 5, 6, 7, 8, 9]

本文介绍并对比了多种在Python中实现列表扁平化的技术,包括使用双层for循环、sum函数、functools模块、itertools模块、numpy库、自定义函数以及iteration_utilities库的方法。
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