如何使用 lambda 和 hasattr 过滤嵌套属性上的对象数组?

How to filter an array of objects on nested attribute using lambda and hasattr?

我有以下 Python 代码:

myArray = [{ "id": 1, "desc": "foo", "specs": { "width": 1, "height": 1}}, { "id": 2, "desc": "bar", "specs": { "width": 2, "height": 2, "color": "black"}}, { "id": 3, "desc": "foobar"}]
print len(myArray)

myArray_filtered = filter(lambda item : hasattr(item, "specs") and hasattr(item.specs, "color"), myArray)
print len(myArray_filtered)

我希望在第二次打印时得到长度 1,但它是 0。你能告诉我我的代码有什么问题吗?

鉴于您的嵌套结构,您可以使用 dict.get 和一些默认值:

>>> myArray_filtered = list(filter(lambda d: d.get("specs", {}).get("color") is not None, myArray))
>>> len(myArray_filtered)
1
>>> myArray_filtered
[{'id': 2, 'desc': 'bar', 'specs': {'width': 2, 'height': 2, 'color': 'black'}}]
myArray_filtered = [v for v in myArray if v.get('specs', {}).get('color')]
print(len(myArray_filtered))

使用列表推导稍微简单一些。

并且您可以添加条件:

myArray_filtered = [v for v in myArray if v.get('specs', {}).get('color') and v.get('specs', {}).get('width') == 2]
print(len(myArray_filtered))