您可以设置依赖于另一个字典条目的字典值吗?

2023-07-06Python开发问题
6

本文介绍了您可以设置依赖于另一个字典条目的字典值吗?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着跟版网的小编来一起学习吧!

问题描述

我的想法是这样的:

dict1 = {key1:3, key2:5, key3:key1+key2}
# so key3 relate to the value: 8 (3+5)
dict1.update({key2:6})
# key3 will now relate to the value: 9 (3+6)

我试图避免更新不必要的条目,并基于在比较关系值时已经在一系列查找和更新中计算的值构建新的键值关系.字典的哈希性对于让我在查找时或多或少保持恒定时间至关重要.

I'm trying to avoid updating more entries than necessary as well as building new relations of key-value that's based on values that has already been calculated in a series of lookups and updates while comparing values of relations. The dictionarys' hashability is crucial to get me a more or less constant time on lookup.

推荐答案

这不是通用解决方案,但大致适用于您的示例:

This isn't a general solution but roughly works for your example:

class DynamicDict(dict):
    def __getitem__(self, key):
        value = super(DynamicDict, self).__getitem__(key)
        return eval(value, self) if isinstance(value, str) else value

>>> d = DynamicDict(key1=3, key2=5, key3='key1+key2')
>>> d.update({'key2': 6})
>>> d['key3']
9

这篇关于您可以设置依赖于另一个字典条目的字典值吗?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持跟版网!

The End

相关推荐

在xarray中按单个维度的多个坐标分组
groupby multiple coords along a single dimension in xarray(在xarray中按单个维度的多个坐标分组)...
2024-08-22 Python开发问题
15

Pandas中的GROUP BY AND SUM不丢失列
Group by and Sum in Pandas without losing columns(Pandas中的GROUP BY AND SUM不丢失列)...
2024-08-22 Python开发问题
17

GROUP BY+新列+基于条件的前一行抓取值
Group by + New Column + Grab value former row based on conditionals(GROUP BY+新列+基于条件的前一行抓取值)...
2024-08-22 Python开发问题
18

PANDA中的Groupby算法和插值算法
Groupby and interpolate in Pandas(PANDA中的Groupby算法和插值算法)...
2024-08-22 Python开发问题
11

PANAS-基于列对行进行分组,并将NaN替换为非空值
Pandas - Group Rows based on a column and replace NaN with non-null values(PANAS-基于列对行进行分组,并将NaN替换为非空值)...
2024-08-22 Python开发问题
10

按10分钟间隔对 pandas 数据帧进行分组
Grouping pandas DataFrame by 10 minute intervals(按10分钟间隔对 pandas 数据帧进行分组)...
2024-08-22 Python开发问题
11