1 print(hash(dictionary)) TypeError: unhashable type: 'dict' The code prints out the type to confirm the dictionary object is a ‘dict’ object. When we try to print the dictionary’s Solution 3: Use a Different Data Structure. If converting the dictionary to a hashable type isn’t an option, the second solution is using a different data structure that can manage unhashable types, like a list. For example, we can use a list of dictionaries instead of a dictionary of dictionaries Dict items support set-like operations, yes, but they are not sets. You cannot have anything unhashable in a set (and tuple with a list inside items is obviuosly unhashable). You can, of course, have unhashable values in a dictionary, and this does not restirct "set-like" operations Df = [HOST]_json(path,lines=True) TypeError: unhashable type: ‘dict’ Above is thrown by pandas for the same file for which it works in pandas The issue is tracked and apparently fixed in master which I suppose will make it into the next version
Pandas groupby throws: TypeError: unhashable type: …
The Python "TypeError: unhashable type: 'dict'" occurs when we use a dictionary as a key in another dictionary or as an element in a set. To solve the error, What causes a TypeError: unhashable type: ‘dict_keys’? A TypeError: unhashable type: ‘dict_keys’ occurs when you try to use a dictionary key as a hashable value. A hashable value is a value that can be used as the key in a dictionary. Dictionaries use hashable values to quickly find and access their data 1. You are trying to store multiple objects in your database at once. For this you have to create an object of type Farmers for each element of the list. You can then store these created objects in the database. def insert_data(): # The list of objects with their associated data. farmers = [ 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 Zip returns a list of tuples, not a tuple.. Besides, a tuple is only hashable if each of its elements are hashable. So a tuple of lists will not be hashable either. That said, there's nothing wrong with dict(zip(keys, values)) if keys is a list of hashable elements. Your problem is that datelist contains lists (results of [HOST]l) which are not hashable and The solution from Remove duplicate dict in list in Python is not fully appliccable because you have inner lists. You would need to tuplify them as well for usage in a set. One way to do it would be I understand that dicts/sets should be created/updated with hashable objects only due to their implementation, so when this kind of code fails >>> {{}} # empty dict of empty dict Traceback (most recent call last): File "", line 1, in TypeError: unhashable type: 'dict' it's ok and I've seen tons of this kind of messages You have two issues; the query needs to be constructed as a dictionary (yours creates a tuple), and the first parameter of the find needs to just be query not {query}.. This should be closer to what you need
TypeError: unhashable type: 'list' from attempt to create dict
It gives you a TypeError, when you are trying to use d1 as a key, because keys can only be of hashable types. You can't use dict as a key in another dict, unless it is a custom class dict where the __hash__ method is defined. As it was said, this will do: for item in (d1,d2): [HOST](item) print(d3) Hello. I have only been using Dash a few weeks and I’m now trying pattern matching callbacks. My app works completely fine as a standalone app (not sure if this is the correct terminology), but returns TypeError: unhashable type: ‘dict’ when integrating it into my Django project as a stateless Django app. There appears to be 2 problems: Teams. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Learn more about Teams 2. i have 2 data frames ds and dk and want to merge that with a common column result using the merge command: result = [HOST](ds,dk,on='result') but the result column is actually a dictionary and resulting in the error: "unhashable type: dict". what is the possible solution for merging these frames? At @fuzzzy_09, as requested, answer updated, you only require to enumerate the lists in data array, give it an index, and add it to each dataframe to append to df. Probably not the most efficient way (using append), but will get your job done. – Anzel TypeError: format requires a mapping TypeError: unhashable type: 'dict' TypeError: not enough arguments for format string python; Share. Improve this question. Follow asked Sep 4, at user user 1. Can't you just add myname as another entry in the dict? You’re trying to use a dict as a key to another dict or in a set. That does not work because the keys have to be hashable. That does not work because the keys have to be hashable. As a general rule, only immutable objects (strings, integers, floats, frozensets, tuples of immutables) are hashable (though exceptions are possible) Silver2row (set_) October 30, , am 1. Hello, Here is my error: TypeError: unhashable type: 'dict' Here is the source that is used to handle such an output error: #