从字典中删除混合数据类型的空对象和空对象 [英] Removing nulls and empty objects of mixed data types from a dictionary

问题描述

如何清理包含多种数据类型的null和空列表，字典等字典，例如

How would one go about cleaning a dictionary containing a variety of datatypes of nulls and empty lists, dicts etc. E.g.

raw = {'key': 'value', 'key1': [], 'key2': {}, 'key3': True, 'key4': None}

收件人:

refined = {'key': 'value', 'key3': true}

由于字典中数据类型的混合性质，因此使用:

Because of the mixed nature of data types in the dictionary, using:

refined = {k:v for k,v in processed.items() if len(v)>0}

抛出

TypeError:类型为'bool'的对象没有len()

TypeError: object of type 'bool' has no len()

是否有一种基于type(v) is bool的第二个条件的解决方案?

Is there a solution to make a second conditional based on type(v) is bool?

我发现我在使用解决方案时遇到的问题是数据结构的结果，并提出了一个单独的问题来解决这个问题.

I've found the issue I was encountering employing solutions was a result of the structure of the data, asking a separate question to deal with that.

推荐答案

您可以尝试一下.

refined={k:v for k,v in raw.items() if v or isinstance(v,bool)}

---

raw={'key': 'value',
 'key1': [],
 'key2': {},
 'key3': True,
 'key4': None,
 'key5': False}
refined={k:v for k,v in raw.items() if v or isinstance(v,bool)}
#{'key': 'value', 'key3': True, 'key5': False}

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