This means that you’re using an unhashable value as a key in a dict or set. Keys need to be hashable for these to work because fast lookup is based on dividing values into small “buckets”, each of which contains very few values (ideally just 0 or 1 value). The distribution of values is based on the hash function of the key. In order for dictionary Python dictionary: TypeError: unhashable type: 'list' Related. How to sort a list of dictionaries by a value of the dictionary in Python? How to determine a Python variable's type? How do I get the number of elements in a list (length of a list) in Python? You are passing a dict to be looked up as a dict key. vuln_type = vuln_set['data']['type_results'], its a dict try printing [HOST] need to select one of the possible keys from that dict to continue deeper into the hierarchy to [HOST]'s not quite clear what you want to do, perhaps you intended to iterate over the items in the type_results Traceback (most recent call last): File "J:#", line 21, in data = {name: {user_details}} TypeError: unhashable type: 'dict' So as far as I understood, we cannot use dictionary as a key in a dict "key: value" relationship. This is the part of the code causing the issue on line 21 The value of body is a set ({ } without key-value is a set literal, e.g., {1,2} is a set). Inside this set you have a dictionary. Items in a set have to be hashable, and dictionary isn't. As the comment from @Carcigenicate says, it seems like a typo of having { { }} instead of { } for the value of body. Elasticsearch documentation shows that TypeError: unhashable type: ‘dict’. Dictionaries consist of two parts: keys and values. Keys are the identifiers that are bound to a value. When you reference a key, you’ll be able to retrieve the value associated with that key. Only hashable objects can be keys in a dictionary
Python - TypeError("unhashable type: 'dict'") - Stack Overflow
TypeError: unhashable type: 'Series' - can't work out how to pass a one column df as a non-series object if even possible? Ask Question Asked 4 I do not see the uniqueId initialization but it seems that it is a dictionary type. You can check keys in the dictionary but the keys are hashed. To search by key, the SAP_only_EAs['UNIQUE The Solution. To solve this problem, we need to set the dictionary name properly. In previous, we have added a dictionary as a key. We need to use f[”name”]as the name of our dictionary key for avoiding this
Unhashable Type Python Error Explained: How To Fix It
1. When you iterate csv reader you get lists, so when you do. for row in psv_f: [HOST](row) Row is actually a list instance. so attendees1 / attendees2 is a list of lists. When you convert it to set () it need to make sure no item appear more than once, and set () relay on hash function of the items in the list. so you are getting Error: unhashable type: 'dict' with @dataclass. name: str. signature: Dict[str, Type[DBType]] prinmary_key: str. foreign_keys: Dict[str, Type[ForeignKey]] indexed: List[str] Don't understand what's the problem. frozen=True prevents you from assigning new values to the attributes; it does not prevent you from mutating the existing mutable values The Python TypeError: unhashable type: 'dict' can be fixed by casting a dictionary to a hashable object such as tuple before using it as a key in another dictionary: print (my_dict) In the example above, the tuple () function is used to convert the dictionary to a tuple. The above code runs successfully and produces the correct output