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[英]Pandas Python - How to reorder second level row indexes according to a specific list of labels
[英]Reorder a tree node according to specific attribute in python
簡單樹的代碼
class A_1:
saveable =True
class A_2:
saveable =False
class B_1:
saveable =True
class B_2:
saveable =False
class C_1:
saveable =False
class C_2:
saveable =True
class A:
saveable = True
inline = [A_1,A_2]
class B:
saveable = False
inline = [B_1,B_2]
class C:
saveable = True
inline = [C_1,C_2]
class Main:
inline =[A,B,C]
我想要一個 function 或根據可保存屬性對節點進行排序的方法。 我想要 output 像:
>>Main.inline
[B, C, A]
>>A.inline
[A_2,A_1]
等等
雖然我不同意這種方法,但這是您需要做的:(我盡可能少地修改了代碼,並在底部添加了測試以證明它有效)
import operator
class A_1:
saveable =True
class A_2:
saveable =False
class B_1:
saveable =True
class B_2:
saveable =False
class C_1:
saveable =False
class C_2:
saveable =True
class Ordered(type):
def __new__(cls, name, bases, attr):
new_klass = super(Ordered, cls).__new__(cls, name, bases, attr)
# Uncomment the line bellow after you've read the comment in all the
# way at the bottom of the code.
#
# new_klass.inline.sort(key=lambda x: x.__name__, reverse=True)
new_klass.inline.sort(key=operator.attrgetter('saveable'))
return new_klass
class A(metaclass=Ordered):
saveable = True
inline = [A_1,A_2]
class B(metaclass=Ordered):
saveable = False
inline = [B_1,B_2]
class C(metaclass=Ordered):
saveable = True
inline = [C_1,C_2]
class Main(metaclass=Ordered):
inline =[A,B,C]
# this differs from your example slightly, since you asked
# for `[B, C, A]`, in order to get that working, is just a
# matter of changing the `sort()` above, and uncommenting
# the commented line in the function. I left it there in
# case you REALLY wanted it. I figured this would be enough
# and the alternative just complicates things further
assert Main.inline == [B, A, C]
# assert Main.inline == [B, C, A]
assert A.inline == [A_2, A_1]
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