@dataclass (frozen=True) Set unsafe_hash=True, which will create a __hash__ method but leave your class mutable. You need to write your column names in one list not as list of lists: df3_query = df3[['Cont NUMBER', 'PL NUMBER', 'NAME', 'LOAN COUNT', 'SCORE MINIMUM', 'COUNT PERCENT']] From docs: You can pass a list of columns to [] to select columns in that order. As I understand from TypeError: unhashable type: 'dict', I can use frozenset() to get keys. The error: TypeError: unhashable type: ‘list’ occurs when trying to get the hash value of a list. Annotated type-checking. uniform (size= (10,2)). You could use it in a following manner: df_exploded = df. To solve this problem, you should generate a hashable key from the combination of args and kwargs. _domainOfVariable[tuple(var)] = copy. len () == 0). From your sample dataframe, it appears your airline series consists of list objects. TypeError: unhashable type: 'dict' The reason why e. 3. First is used for the OrderedGroup of pipes. TypeError: unhashable type: 'list' in Django/djangorestframework. When you try to typecast a nested list object directly into a set object using the set() function. 4. Jump to solution. If you are sure that this code worked in Python 2, print results to see its content. So if need specify sheet_name use: df = pd. For your case you can simply do: tmp1 = tmp [list (tmp) [0]] However this can be quite expensive. So replace: lookup_field = ['username'] by. JDiMatteo JDiMatteo. TypeError: unhashable type: 'set' sage: s = X. This was a deliberate design decision, and can best be explained by first understanding how Python dictionaries work. Several ideas! a) word = corpus. We cannot access elements in a set using subscript notation. 7; pandas; pandas-groupby; Share. They are very useful to count the number of occurrences of “simple” items. contains (heavy_rain_indicator)) I want the columns Heavy rain indicator to be TRUE when heavy rain indicators are present and light rain indicator to be TRUE when light rain indicators are present. robert robert. For example, you can use (assuming all values of args and kwargs are hashable) key = ( args , tuple (. All we need to do is to use the hashable type object instead of unhashable types. Wrapping an unhashable type in a tuple doesn't make it hashable. 出てしまいうまく出来ません。. What causes the “TypeError: unhashable type: ‘list'” error? What is a list in Python? In Python, a list is a sequence of values. Copy link ghost commented Jul 30, 2018 @Akasurde That makes sense, when I switched to the snippet below, it worked, however for some reason is doing the task twice per node. If just name is supplied, typing. replace for regex clean. Examples of unhashable types include lists, sets, and dictionaries themselves. apply(tuple) . It should be corrected as. The provided code snippet resolves the issue. Python dictionary : TypeError: unhashable type: 'list' 0. Improve this question. You are passing it a sequence of dicts some of whose values are coroutines. dumps (temp_dict, default = date_handler) Otherwise, if l_user_type_data is a string for the key,. Steps to reproduce Run this code import streamlit as st import pandas as pd @st. If a column is not contained in the DataFrame, an exception will be raised. If you want to use lru_cache the arguments must be, for example, tuple s instead of list s. For " get all the distinct Pythagorean triples [for me (3,4,5)=(4,3,5)]. This will return the subset of rows where at least a single cell is a list, which should help you locate the problem. 02-25-2013 11:43 AM. I have converted to tuple as you had suggest (I have updated the code in question). I have listA=[[0,1,2]], and listB=[[0,1,2],[0,1,3],[0,2,3]], and want to obtain elements that are in listB but not in listA, i. The problem is that a Python list is a mutable type, and hence unhashable. g. My dataset is composed of a column “extrait” ( that’s the input text) and a column “_Labels” ( which is a string of labels seperated by a space) Since you’re trying to solve a multi-label problem, you need to define your datablock accordingly. Make it a string return_dict['transactions'] = transactions. compile_channels (channels) if channel in channel_list: a. Specify list for multiple sort orders. You probably wanted to create a dictionary instead and pass it to json. If ngrams is a list of lists, as you've indicated in a comment to your question, then FreqDist () may be attempting to create a dictionary using the elements of ngrams as keys. 由于元组（tuple）是不可变的数据类型，所以它是可哈希的。因此，我们可以将列表（list）转换为元组，然后将其用作字典或集合的键。 下面是一个示例代码： Lists cannot be hashed because they are mutable (if the list changed the hash would change) and thus lists can't be counted by Counter objects. The. How to fix the Python TypeError: Unhashable Type: ‘List’ errorDescribe the bug After restarting the webui today, the program that was running normally did not start, and it seems to no file changes were made to the file during that time. 0. 2 Answers. add_loss(loss) --> TypeError: unhashable type: 'ListWrapper' Problem ? 👀 5 NickDatLe, federicoAntosiano, meera-m-t, shanglike, and SongShuCheng reacted with eyes emojiBUG: to_datetime throws TypeError: unhashable type: 'list' even with errors='ignore' #39756. Sometimes mutable types like lists (or Series in this case) can sneak into your collection of immutable objects. iloc[:,:1] For your second problem, the X input needs to be a matrix, not a vector, so either include more columns or use the syntax:Unfortunately, it looks like mailing list archive links are unstable. temp = nr. The issue is that lists can't be keys in a set - as they are mutable. As a result the hash can change violating the contract. files. A Counter is a dict subclass for counting hashable objects. 4420. That’s because the hash value of an object must remain constant during its lifetime. Since you set eq=True and left frozen at the default ( False ), your dataclass is unhashable. fromkeys will accept any iterable as an argument (this is duck-typing ). そのエラー(おそらく正確にはTypeError: unhashable type: 'numpy. , my desired output is listC=[[0,1,3],[0,2,3]]. Share FollowTypeError: unhashable type: 'set' When I print out the respective elements in the iteration, it shows that the result of the set comprehension contains not the expected scalars but lists: print {tup[1] for tup in list_of_tuples} set([100, 101, 102])The element of set need to be hashable, which means immutable, use tuple instead of list. Dec 3, 2022 at 8:31. I want group by year and month, then calculate the means,why it has wrong? python; python-2. "An object is hashable if it has a hash value. A list object is mutable however, because it can change (as shown by the sort function, which permanently rearranges the list) which means that it isn't hashable so doesn't work with set. 1248行6列のデータで学習させようとしています。. str. So I was getting dicts and attempting to use those dicts as keys into dicts. It. Slicing DataFrames incorrectly or using iterrows without unpacking the return value can produce Series values when. ', '') data2 = data2. 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: my_dict = {1: 'A', tuple({2: 'B', 3: 'C'}): 'D'}. GETTING A TypeError: unhashable type: 'list' 0. Stack Overflow. スライスを. Unhashable objects will be treated as if they are hashable. 4 Replies 29571 Views list many2many. Share Improve this answerTypeError: unhashable type: 'list' You can resolve this issue by casting list to tuple . 要解决 TypeError: unhashable type: ‘list’ 错误，我们可以尝试以下几种方法： 1. 103 1 1 silver badge 10 10 bronze badges. You are returning a list to something that expects a hashable type, like an int, a string or a tuple of hashable types. 03:01 The same goes for dictionaries, unhashable type: 'dict'. Wrapping an unhashable type in a tuple doesn't make it hashable. How to fix 'TypeError: unhashable type: 'list' error? 0. But as lists are mutable objects, they do. Q&A for work. TypeError: unhashable type: 'list' Code : Why Python TypeError: unhashable type: 'list' Hot Network Questions Do creatures attempt a saving throw immediately when a Whirlwind is moved onto them on a turn subsequent to the initial casting? Python の TypeError: unhashable type: 'list' このエラーは、リストなどのハッシュ不可能なオブジェクトをキーとして Python 辞書に渡したり、関数のハッシュ値を検索したりするときに発生します。 Dictionaries は Python のデータ構造であり、キーと値のペアで機能します。 The hash() function is a built-in Python method utilized to generate a distinct numerical value. Otherwise, if you want that each element of the set is a list, you should use a list for visited instead of a set and implement a solution to avoid duplicates. When I try running the program I get a Type error: unhashable type: 'list'. assign( Text = lambda x: x['Text']. TypeError: unhashable type: ‘list’ error occurs mainly when we use any list as a hash object. dict, list, set are all inherently mutable and therefore unhashable. The rest of the code you have posted will work as expected with the below solution. split () ld (tuple (s), tuple (t)) Otherwise, you may avoid using lru_cached functions by using loops with extra space, where you memoize calculations. In simple terms, if you use a list as a key in the dictionary, you will encounter a. Learn more about Teams1 Answer. 1. TypeError: unhashable type: 'list'. If you want to use lru_cache the arguments must be, for example, tuple s instead of list s. Sorted by: 3. asked Nov 7, 2015 at 8:59. TypeError: unhashable type: 'list' df_data = df[columns] Hot Network Questions grep: Get one word at all Why is CO2 so low in the atmosphere? Should we put file names in Bash in Quotes or Double quotes? What is the standard?. schemes(v) with v equal to this list. append (channel) top = flask. The variable v in this expression: key, v = spl [0], spl [1:] is a list with the remaining values. Summary. callback( Output('piechart','figure'), [Input('piechartinput', 'value')] ) def update_piechart(new_val): return {px. This answer to What makes lists unhashable? include the following: If the hash value changes after it gets stored at a particular slot in the dictionary, it will lead to an inconsistent dictionary. Mi-Creativity. Here is my partial code: keyvalue = {}; input_list_new = input_list;. This is a list: If so, I'll show you the steps - how to investigate the errors and possible solution depending on the reason. Returns a graph from Pandas DataFrame containing an edge list. inplace bool, default False. TypeError("unhashable type: 'dict'") Hot Network Questions Lighter than air vs heavier than air? Is it illegal for King Charles not to vote in Australia? Locking myself from ever changing license Company is making my position redundant due to cost cutting but asking me to. Try. So the way to achieve this is to first convert the dict to a list (which is sliceable). 왜냐하면, 사실상 a[result]에서 요청하는 값이 a[[1]] 이런 모양이기 때문이다. decode ("utf-8") myFoodKey = IDMapping. From a text file containing three columns of data I want to be able to just take a slice of data from all three columns where the values in the first column are equal to the values defined in above. Viewed 2k times -1 Closed. Q&A for work. This will return the subset of rows where at least a single cell is a list, which should help you locate the problem. The problem is that when you pass df['B'] into top_frequent(), df['B'] is a column of list, you can view is as a list of list. Since DataFrame. However, since a Python list is a mutable and ordered data type, we can both access any of its items and modify them: # Access the 1st item of the list. The . datablock = DataBlock (blocks = [text_block, MultiCategoryBlock], get_x=ColReader (twipper. Note that, instead of checking if a word is in the dictionary, you can use a defaultdict, as so:but it has an error: TypeError: unhashable type: 'list'. dict, set ). then, i check the type of reference and candidate, both from the original code and the modified, it return the same type list. How to fix 'TypeError: unhashable type: 'list' error? 0. To solve this you can convert the inner lists to tuples before counting them: ALL_ipAddDict = dict (Counter (map (tuple, ALL_ipAdd)). List is a mutable type which cannot be hashed. if you are using "oracle 11g" then use following code: from sqlalchemy import event from sqlalchemy. What causes the “TypeError: unhashable type: ‘list'” error? What is a list in Python? In Python, a list is a sequence of values. unhashable: list, dict, set; となっていますが、ここで hashable の方に入っているものは、ハッシュ値が生存期間中変わらないことが保証されています。では、ユーザ定義オブジェクトの場合はどうでしょうか？ ユーザ定義オブジェクトの場合 unhashable な. 2. python perform an operation by group. Reload to refresh your session. for p in punctuations: data = data. There are no duplicates allowed. We can access an element from a list using subscript notation. 3. OutlineInstallationBasic ClassesGenerating GraphsAnalyzing GraphsSave/LoadPlotting (Matplotlib) Basic Example. TypeError: unhashable type: 'list' Does anyone know how I could do this? Thanks. Station. 0 "TypeError: unhashable type: 'list'" yet I'm trying to only slice the value of the list, not use the list itself. So when you do fd[i] += 1 you are indexing fd with a list, which with a dictionary or something that uses dictionaries in their implementation is not possible, because lists are not hashable. TypeError: unhashable type: 'list' ----> 4 df ['Heavy Rain Indicator'] = (df ['Weather']. You are using list as an key in the dictionary. Ok, thanks for updating the question with the full code and traceback. >>> print (dict. In the above example, we create a tuple my_tuple and a dictionary my_dict. Data columns. When you reference a key, you’ll be able to retrieve the value associated with that key. It would load all countries with the name DummyCountry, but only name and id fields. words () to store all words of the corpus in one list. Follow edited Nov 17, 2022 at 20:04. If anyone wants to shed some light on the other bugs are also. In DefaultPlot. Here’s a plot of execution time for various Fibonacci numbers. Highest score (default) USE sqlalchemy 1. fromkeys. using this code: def create_from_arr (): baby_array=pd. FreqDist (doc) for doc in docs] to get a list that contains a FreqDist for each document. Ludovica Ludovica. 1. also, you may check your variable col which it is not defined in your function, this may be a list. 4. defaultdict(list) Ask Question Asked 1 year, 1 month ago. So you can. Looking at the code logic, you probably want to do this anyway: for value in. Possible Duplicate: Python: removing duplicates from a list of lists Say i have list a=[1,2,1,2,1,3] If all elements in a are hashable (like in that case), this would do the job: list(set. If all you need is any element from the dictionary then you could do:You can't groupby by any column that contains an unhashable type, a list is one of those, for instance if you did df. test. You can convert to tuple first if want use value_counts: vc = df. read() data2 = infile2. 例如，如果我们尝试使用 list 或 numpy. Consider also Series. Now there is a problem to know which object is hashable and which object is not. df['Ratings'] = df. I have made this column "FN3LN4ZIP" using another larger dataframe. Follow edited Dec 21, 2015 at 0:09. You signed out in another tab or window. Python の TypeError: unhashable type: 'slice' を修正. When you save and load the data, chances are that it is converted to string, which enables the hash to be calculated. Improve this answer. This also tells me that in your rogue list is. Ideally I would like to sort the values in place and create an additional column of a concatenated string. That’s because the hash value of an object must remain constant during its lifetime. Follow edited Jul 10, 2020 at 19:34. 2. Hashable. 99% time saved. Therefore, any operation that involves index values like slicing will throw the. TypeError: unhashable type: 'list' when using built-in set function (4 answers) Closed last year. asked Jun 18, 2020 at 7:32. Follow edited Jun 18, 2020 at 18:45. If you're using a class because you want to save some state on the instance, this sounds like a bit of an antipattern but you'd be able to get away with it like so: If you just want the class for the semantics/namespace (you should. An answer explains that list is not a hashable type in python and. Here's one way to generate a list of all words that appear in either document: infile1 = open("1. And, the model contains three entries for the. TypeError: unhashable type: 'dict' - pandas groupby. A tuple is immutable, so after construction, the values cannot change and therefore the hash cannot change either (or at least a good implementation should not let the hash change). A list is not a hashable data type and cannot be used as a key in a dictionary. sum () If no NaN s values is possible use IanS solution: l = (df ['files']. TypeError: unhashable type: 'list' We see that Python tuples can be either hashable or unhashable. I am using below code for updating an excel (. Why Python TypeError: unhashable type: 'list' Hot Network Questions How would computers develop in a society where a Cherokee-like language is the dominant lingua franca?In this article we will we looking the Python exception TypeError: Unhashable Type: ‘slice’. Besides, a tuple is only hashable if each of its elements are hashable. So there were 3 issues primarily: missing closing ) at few places; The method to access a dictionary key value should be dict[key] and if the dictionary is nested then it should be dict[key1][key2] and not dict[key1[key2]]; get_average() expects just the student name (i. Line 7: The NumPy ndarray arr is converted to a tuple tuple_arr using the tuple () constructor to resolve the issue. contains (heavy_rain_indicator)) I want the columns Heavy rain indicator to be TRUE when heavy rain indicators are present and light rain indicator to be TRUE when light rain indicators are present. assign (Bar=1) to obtain the Foo and Bar columns was taken. Now, a question may arise in your mind, which are washable and which are unhashable. Follow edited Nov 7, 2016 at 17:54. Deep typing. uniquePathsHelper (obstacleGrid,start. The name gives away the purpose of a slice: it is “a slice” of a sequence. )) function and iterate through it so that you can retrieve the POS tag and tokens, i. We are passing a list as 4th key. Hugo atm Hugo atm. Akasurde changed the title TypeError: unhashable type: 'list' delegate_to: fails with "TypeError: unhashable type: 'list'" Jul 28, 2018. filter pandas dataframe by cell type. 2 Answers. In BasePlot. 2 Answers. The best I can point you to is the archive link for that entire month of messages ; you can Ctrl-F for { to find the relevant ones (and a few false positives). logging_level_ENUM = ('critical', 'error', 'warning', 'info', 'debug') Basically, when you create a dictionnary in python (which is most probably happening in your call to the ENUM function), the keys need to be. The labels on the control types are also weirdly duplicated: It appears to be passing values like ["Lineart","Lineart"] instead of just "Lineart" to select_control_type. lst = [1, 2, 3] tup = tuple (lst) Keep in mind that you can't change the elements of a tuple after creation, such as; tup [0] = 1. The "TypeError: unhashable type: 'list'" error occurs when attempting to use a list as a hashable object. If you want to get the hash of a container object, you should cast the list to a tuple before hashing. Since you are not modifying the lists, but only slicing, you may pass tuples, which are hashable. tolist () array = [tuple (i) for i in temp] This should create the input in the required format. txt", 'r') data1 = infile1. 1 Answer. Otherwise it returns a more formal wrapper. piRSquared. To get nunique or unique in a pandas. 1 Answer. The idea is that I analyse a set of facial features from a prepared. Improve this question. Follow edited Nov 26, 2021 at 20:21. 왜냐하면, 사실상 a [result]에서 요청하는 값이 a [ [1]] 이런 모양이기 때문이다. In Standard. Python lists are not hashable because they are mutable. TypeError: unhashable type: 'list' in python. 5. TypeError: unhashable type: 'list' df_data = df[columns] 0. Python lists are not hashable because they are mutable. 1. What could be the reason and how to solve it. Internally, GroupBy relies on hashing. # first just use set to grab all the possible elements (make lists hashable by # passing through tuple) -- this is a set comprehension seen_set = {tuple(x) for x in original_list} # the duplicates are just ones with counts > 1 duplicate_set = {t for t in seen_set if original_list. It can be employed with user-defined objects that remain unaltered after initialization. descending. An Unhashable Type List is a list of objects of certain types that can’t be used as a key in a Python dictionary. unique() function compares values in the column to each other using their hash values. The issue is that you have a surrounding set of braces - {. You can transform Categories_1 to tuple then do the groupby: joined ['Categories_1'] = joined ['Categories_1']. keys or dict. but it has an error: TypeError: unhashable type: 'list'. We can of course get around this by using an unmutable type in its place. wovano. Or stacks contains other data and you didn't showed the right node. Quick Approach. The labels on the control types are also weirdly duplicated: It appears to be passing values like ["Lineart","Lineart"] instead of just "Lineart" to select_control_type. ndarray 错误Creates a new dataclass with name cls_name, fields as defined in fields, base classes as given in bases, and initialized with a namespace as given in namespace. If the l_user_type_data is a variable contains a string, you should do: temp_dict = dict () temp_dict [l_user_type_data] = user_type_data result = json. python; list; graph; tuples; Share. Python의 TypeError: unhashable type: 'list'. I used 'extends' instead of 'append' when pulling from a file. keras_model. So you don't actually need that tuple conversion. def animals_mix (k, l): list1 = combine2 (FishList, dic [k]) in the first line of animals_mix () you are actually trying to do. 281 1 1 gold badge 6 6 silver badges 13 13 bronze badges. Keys are the identifiers that are bound to a value. Improve this question. The problem is that when you pass df['B'] into top_frequent(), df['B'] is a column of list, you can view is as a list of list. The problem is that list() items are not hashable. The dict keys need to be hashable (which usually means that keys need to be immutable) So, if there is any place where you are using lists, you can convert it into a tuple before adding to a dict. I tried the other answers but they didn't solve what I needed (large dataframe with multiple list columns). Lê Hồng Nhật. TypeError: unhashable type: 'list' 上記のようなエラーが出た時の対処法。. Reload to refresh your session. If an object’s content can change (making it mutable, like lists or dictionaries), it’s typically unhashable. Defaults to 'pk'. Since we only merge on item, result gets two columns of a and b -- the ones from bar are called a_y, and b_y. drop duplicates in Python Pandas DataFrame not. For example, when I type this code: df. –A list is a mutable type, and cannot be used as a key in a dictionary (it could change in-place making the key no longer locatable in the internal hash table of the dictionary). Getting TypeError: unhashable type: 'list' and AttributeError: dlsym(0x7fa8c57be020, AttachDebuggerTracing): symbol not found errors when I create my model based on Word2Vec implementation of the gensim module. lst = [ ['Descendant Without A Conscience', 'good', 'happy'], ['Wolf Of The Solstice. You signed out in another tab or window. 6. An object is hashable if it has a hash value which never changes during its lifetime (it needs a __hash__ () method), and can be compared to other objects (it needs. That said, there's nothing wrong with dict (zip (keys, values)) if keys is a list of hashable elements. Connect and share knowledge within a single location that is structured and easy to search. setparams. items, dict. asked Nov 15, 2022 at 14:37. Teams. My first troubleshooting video was well received. To use a dict as a key you need to turn it into something that may be hashed first. for key, value in dct. A Counter is a dict subclass for counting hashable objects. len for count lists, then sum all True s of boolean mask: l = (df ['files']. In this tutorial we are going solve unhashable type error. If you want to use the slice syntax to select from a dataframe you have to use. I tried hacking it to check for instance of List and just take the first argument but the ui for loading the Preprocessor and Model just spins and spins. getCostOfActions(self. xlsx') If need processing all sheetnames converted to DataFrame s:The type class returns the type of an object. TypeError: unhashable type: 'list' for comparing pandas columns. If True, perform operation in-place. See also TypeError: unhashable type: 'list' when using built-in set function for more information on that. You need to write your column names in one list not as list of lists: df3_query = df3[['Cont NUMBER', 'PL NUMBER', 'NAME', 'LOAN COUNT', 'SCORE MINIMUM', 'COUNT PERCENT']] From docs: You can pass a list of columns to [] to select columns in that order. fields is an iterable whose elements are each either name, (name, type) , or (name, type, Field). Viewed 5k times 1 I am trying to create a scatter plot using a dataset on movies. This means that Python interprets your structure as a single set, to which you attempt to add a single item, which is a list - but lists cannot be hashed as they are mutable. This error occurs when trying to hash a list, which is an unhashable object. Hashability makes an. From what I can understand, you got lists in your data frame and python or Pandas can not hash lists. But at few places classdict[student] (which is a dictionary) was being. Immutable vs. Sorted by: 3. Even if it seem to work, it is a terrible solution. Method 4: Flatten List of Lists + Set Comprehension. # Additional Resources. append (key) values. dict, set ). keys()の戻り値は下記のようになるが、（多分）これが純粋なlistではない故に発生するエラーなのに、エラー内容がTypeError: unhashable type: 'list'というのは分かりづらい…。If an object has logical equality, updating that object would change its hash, violating rule 2. Slicing DataFrames incorrectly or using iterrows without unpacking the return value can produce Series values when it's not the intended type. 最も基本的な修正は、スライスをサポートするシーケンスを使用することです。. P. 1 Answer. Modified 6 years, 5 months ago. close() infile2. In the first example (without `lru_cache`), calculating the 40th Fibonacci number took approximately 19. I am looking to get all times which for each user takes to watch each screen. 00:00 Immutable objects are a type of object that cannot be modified after they were created. I was trying to set index with column A and column C (multiindex) in order to explode columns B,D,E only. iloc () I'm currently doing some AI research for a project and for that I have to get used to a framework called "Pytorch". dict. 0. Doing valuable suggestions during group meeting suffices to be considered as a co-author? What language was the first to treat null checks as smart casts to non-nullable types?Your problem is in the line return_dict[transactions] = transactions. Annotated type hints in guaranteed constant time. I have the following error, that I couldn't understand: TypeError: unhashable type: 'dict'. Try this: [dict (t) for t in {tuple (d. This is also the reason why the punctuation is not removed. Sep 1, 2022 at 15:45. That causes the message about unhashable type: list. ? [. I am trying to build a keyword extractor using code snippets from many many programs as I am a noob to python. Dictionaries consist of two parts: keys and values. これらには、リスト、文字列、辞書、タプル、およびその他のサポートされているシーケンスが含まれます。. Again: with some fonts parenthesis and square brackets are very similar. The update method is used to fill in NaN values from a with corresponding values from a_y, and then the same is also done for b. Why Python TypeError: unhashable type: 'list' Hot Network Questions Exploring the Concept of "No Mind" in Eastern Philosophy: An Inquiry into the Foundations and Implications 1 # Unhashable type (list) 2 my_list = [1, 2, 3] ----> 3 print (hash (my_list)) TypeError: unhashable type: 'list'. An object is hashable if it has a hash value that remains the same during its lifetime. Edit: My df looks like this: python; pandas; syntax-error; typeerror; Share. Improve this question. import random import statistics from time import sleep i=0 a=0 var1=input ("min random : ") var2=input ("max random : ") bb=int (var1) ba=int (var2) data = [ []for z.