我知道之前已经详细介绍了扁平化嵌套列表的主题,但我认为我的任务有点不同,我找不到任何信息。
我正在写一个刮刀,作为输出我得到一个嵌套列表。顶级列表元素应该成为电子表格形式的数据行。但是,由于嵌套列表通常具有不同的长度,因此我需要在展平列表之前展开它们。
这是一个例子。我有
[ [ "id1", [["x", "y", "z"], [1, 2]], ["a", "b", "c"]],
[ "id2", [["x", "y", "z"], [1, 2, 3]], ["a", "b"]],
[ "id3", [["x", "y"], [1, 2, 3]], ["a", "b", "c", ""]] ]
我最终想要的输出是
[[ "id1", "x", "y", z, 1, 2, "", "a", "b", "c", ""],
[ "id2", "x", "y", z, 1, 2, 3, "a", "b", "", ""],
[ "id3", "x", "y", "", 1, 2, 3, "a", "b", "c", ""]]
但是,像这样的中间列表
[ [ "id1", [["x", "y", "z"], [1, 2, ""]], ["a", "b", "c", ""]],
[ "id2", [["x", "y", "z"], [1, 2, 3]], ["a", "b", "", ""]],
[ "id3", [["x", "y", ""], [1, 2, 3]], ["a", "b", "c", ""]] ]
然后我可以简单地扁平化也可以。
顶级列表元素(行)在每次迭代中构建,并附加到完整列表。我想在最后转换完整列表更容易?
元素嵌套的结构应该是相同的,但是我现在还不能确定它。如果结构看起来像这样,我想我有问题。
[ [ "id1", [[x, y, z], [1, 2]], ["a", "b", "c"]],
[ "id2", [[x, y, z], [1, 2, 3]], ["bla"], ["a", "b"]],
[ "id3", [[x, y], [1, 2, 3]], ["a", "b", "c", ""]] ]
应该成为
[[ "id1", x, y, z, 1, 2, "", "", "a", "b", "c", ""],
[ "id2", x, y, z, 1, 2, 3, "bla", "a", "b", "", ""],
[ "id3", x, y, "", 1, 2, 3, "", "a", "b", "c", ""]]
感谢您提出任何意见,请原谅,如果这是微不足道的话,我对Python很陌生。
答案 0 :(得分:6)
我使用递归生成器和izip_longest
中的itertools
函数为“相同结构”案例提供了一个简单的解决方案。这段代码适用于Python 2,但经过一些调整(在注释中注明),它可以在Python 3上运行:
from itertools import izip_longest # in py3, this is renamed zip_longest
def flatten(nested_list):
return zip(*_flattengen(nested_list)) # in py3, wrap this in list()
def _flattengen(iterable):
for element in izip_longest(*iterable, fillvalue=""):
if isinstance(element[0], list):
for e in _flattengen(element):
yield e
else:
yield element
在Python 3.3中,由于PEP 380允许递归步骤for e in _flatengen(element): yield e
成为yield from _flattengen(element)
,它将变得更加简单。
答案 1 :(得分:3)
实际上,对于结构不相同的通用案例,没有解决方案。
例如,普通算法会将["bla"]
与["a", "b", "c"]
匹配,结果将为
[ [ "id1", x, y, z, 1, 2, "", "a", "b", "c", "", "", ""],
[ "id2", x, y, z, 1, 2, 3, "bla", "", "", "", "a", "b"],
[ "id3", x, y, "", 1, 2, 3, "a", "b", "c", "", "", ""]]
但是如果你知道你会有多个行,每个行都以ID开头,后面跟一个嵌套列表结构,下面的算法应该有效:
import itertools
def normalize(l):
# just hack the first item to have only lists of lists or lists of items
for sublist in l:
sublist[0] = [sublist[0]]
# break the nesting
def flatten(l):
for item in l:
if not isinstance(item, list) or 0 == len([x for x in item if isinstance(x, list)]):
yield item
else:
for subitem in flatten(item):
yield subitem
l = [list(flatten(i)) for i in l]
# extend all lists to greatest length
list_lengths = { }
for i in range(0, len(l[0])):
for item in l:
list_lengths[i] = max(len(item[i]), list_lengths.get(i, 0))
for i in range(0, len(l[0])):
for item in l:
item[i] += [''] * (list_lengths[i] - len(item[i]))
# flatten each row
return [list(itertools.chain(*sublist)) for sublist in l]
l = [ [ "id1", [["x", "y", "z"], [1, 2]], ["a", "b", "c"]],
[ "id2", [["x", "y", "z"], [1, 2, 3]], ["a", "b"]],
[ "id3", [["x", "y"], [1, 2, 3]], ["a", "b", "c", ""]] ]
l = normalize(l)
print l
答案 2 :(得分:0)
def recursive_pad(l, spacer=""):
# Make the function never modify it's arguments.
l = list(l)
is_list = lambda x: isinstance(x, list)
are_subelements_lists = map(is_list, l)
if not any(are_subelements_lists):
return l
# Would catch [[], [], "42"]
if not all(are_subelements_lists) and any(are_subelements_lists):
raise Exception("Cannot mix lists and non-lists!")
lengths = map(len, l)
if max(lengths) == min(lengths):
#We're already done
return l
# Pad it out
map(lambda x: list_pad(x, spacer, max(lengths)), l)
return l
def list_pad(l, spacer, pad_to):
for i in range(len(l), pad_to):
l.append(spacer)
if __name__ == "__main__":
print(recursive_pad([[[[["x", "y", "z"], [1, 2]], ["a", "b", "c"]], [[[x, y, z], [1, 2, 3]], ["a", "b"]], [[["x", "y"], [1, 2, 3]], ["a", "b", "c", ""]] ]))
编辑:实际上,我误解了你的问题。这段代码解决了一个稍微不同的问题