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. 自分で定義したオブジェクトを辞書のkeyに設定しようとすると、ハッシュ化できないからエラーになる。. TypeError: unhashable type: 'set' sage: s = X. transform(lambda k: frozenset(k. explode ("phone") df_exploded [df_exploded. The unhashable part refers to the key only. If all you need is to identify the second set of 100, note that mclist will have that the second time. variables [0] or self. The docs say:. I then want to put the slice of data into a new array called slice (I am using Python 2. I submit the following code to the website to solve a problem that involves counting the number of ways to traverse a matrix that includes a number of obstacles: from functools import cache class Solution: def uniquePathsWithObstacles (self, obstacleGrid: List [List [int]]) -> int: start = (0,0) return self. TypeError: unhashable type: 'dict' The problem is that a list/dict can't be used as the key in a dict, since dict keys need to be immutable and unique. Internally, GroupBy relies on hashing. Follow edited Nov 17, 2022 at 20:04. Each entry has three parts which are presented within a list. This would make it hard for Python to know what values are cached. So you don't actually need that tuple conversion. Hot Network Questions Implementation of recursive `ls` utility"TypeError: unhashable type: 'list'" What's wrong? python; pandas; Share. – zzzeek. Since you set eq=True and left frozen at the default ( False ), your dataclass is unhashable. condaenvsscorecard_py_3_5libsite. – 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). Ratings. Symmetric difference of two pandas dataframes. This is because the implementation uses some hash table to lookup the arguments efficiently. Method 5: Convert Inner Lists to Strings. Python Dict requires keys to be immutable (i. Line 7: The NumPy ndarray arr is converted to a tuple tuple_arr using the tuple () constructor to resolve the issue. 当我们的数据取两列作为key时，它的key的类型就会变为列表。这时候如果要进行针对于可以的操作，就会出现上方所说的“TypeError: unhashable type: 'list'”，查看了一些其他资料后发现Python不支持dict的key为list或set或dict类型，因为list和dict类型是unhashable（不可哈希）的。TypeError: unhashable type: 'list' What am I doing wrong? python; pandas; dataframe; typeerror; function-definition; Share. str. TypeError: unhashable type: 'list' Subscribe. You can transform Categories_1 to tuple then do the groupby: joined ['Categories_1'] = joined ['Categories_1']. John Y. 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. In this group, the initial pipe batches are added: pipes = pyglet. A Counter is a dict subclass for counting hashable objects. TypeError: unhashable type: 'list' on the following line of code: total_unique_words = list(set(total_words)) Does anyone know a possible solution to this problem? Is this because in most cases the original structure isn't a list? Thanks! python; list; set; duplicates; typeerror; Share. ndarray' errors respectively. Hash values are a numeric constructs that can’t change and thus allows to uniquely identify each object. When you try to typecast a nested list object directly into a set object using the set() function. 02-25-2013 11:43 AM. Then in. This also tells me that in your rogue list is. I am going to write a function instead of my old line by line code but looks like it doesn't work. also a good explanation from a kind mate: " but I think the reason for lists not working is the following. 1. for key, value in dct. Here is when you can get the unhashable type ‘list’ error in Python… Let’s create a set of numbers: >>> numbers = {1, 2, 3, 4} >>> type(numbers) <class 'set'> All good so. uniform (size= (10,2)). Share. You need to change your code to: X. 0. 따라서 이를 해결하기 위해서는 a[1] 과 같이 접근해야하고, 그럼 int type으로 변환이 필요하다. For hashing an object it. values depending on your use case. for key, value in dct. Improve this question. Consider also Series. In the place you'd put in the groupby criterion df. It can be employed with user-defined objects that remain unaltered after initialization. kind {‘quicksort’, ‘mergesort’, ‘heapsort’, ‘stable’}, default ‘quicksort’Python初学者之TypeError: unhashable type: 'list' 创建一个比较复杂的参数的时候，将参数定义成了一个字典，然后格式化了一下，报错TypeError: unhashable type: 'list'Teams. So this does not work: >>> dict_key = {"a": "b"} >>> some_dict [dict_key] = True Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: unhashable type: 'dict'. Since we assume this list contains only one element, we take the first, and use list. 8. When counting the unique words, the code however yields. 03:07 So now that you know what immutable and hashable mean, let’s look at how we can define sets. In BasePlot. 3. TypeError: unhashable type: 'matrix' [closed] Ask Question Asked 6 years, 5 months ago. You can convert to tuple first if want use value_counts: vc = df. 16. Hashability makes an. So a tuple of lists will not be hashable either. any(1)]. Modified 4 years, 6 months ago. S: The code has a whole lot of bugs so don't mind that. TypeError: unhashable type: 'dict' - pandas groupby. In your case: print (binary_search (tuple (data), target, low, high)) should work. Python dictionary : TypeError: unhashable type: 'list' 0. data. Immutable vs. Is there a better way to do what I am trying to do? python; python-2. Improve this question. split () ld (tuple (s), tuple (t)) Otherwise, you may avoid using lru_cached functions by using loops with extra space, where you memoize calculations. read() data2 = infile2. Why Python TypeError: unhashable type: 'list' Hot Network Questions Exploring the Concept of "No Mind" in Eastern Philosophy: An Inquiry into the Foundations and Implicationspython遇到TypeError: unhashable type: ‘list’ 今天在写这个泰坦尼克号的时候，出现了这个bug。后来检查后，才发现Embarked这一列被我改成list类型了，自然不能够hash。因此对原始数据，重新跑一遍后，结果正确。 Examples of hashable objects: int, float, decimal, complex, bool, string, tuple, range, frozenset, bytes Examples of Unhash1 # Unhashable type (list) 2 my_list = [1, 2, 3] ----> 3 print (hash (my_list)) TypeError: unhashable type: 'list'. So in your for j in a:, you are getting item from outer list. Sorted by: 3. So, it can not be used as key in the dictionary. When we try to hash the tuple using the built-in hash () function, we get a unique hash value. hi all , i am trying to add a new fields (many to many fields to product. The key of a dict must be hashable. As workaround, consider assign of flags to then query against. int, float, decimal, complex, bool, string, tuple, range, etc are the hashable type, on the other hand, list, dict, set, bytearray, and user-defined classes are the. 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). The name gives away the purpose of a slice: it is “a slice” of a sequence. 2. The solution is to use a string or a tuple as a key instead of a list. Diving into the details. uniquePathsHelper (obstacleGrid,start. If you must, you can convert the list into a tuple to use it in a dictionary as a key. It means at least one (if not more) of the values in that column is a list not a string. containsApparently somewhere in your list of lists you have a 3rd layer of lists. txt", 'r') data1 = infile1. 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. How to fix 'TypeError: unhashable type: 'list' error? 0. ndarray error, you can modify the code by converting the NumPy ndarray to a hashable type, like a tuple. Connect and share knowledge within a single location that is structured and easy to search. ・リストを集合型のキーとして使用している？. A list is not a hashable data type and cannot be used as a key in a dictionary. items (): keys. smci. Series, my preferred approaches are. 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. リスト型が入れ子に出来たので、集合型でも試してみたのですが. You cannot use a list to index a dictionary, so this: del dic [v] will fail. 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. Next actually keeping the list of tokenized words and then the list of pos tags and then the list of lemmas separately sounds logical but since the function finally only returns the function, you should be able to chain up the pos_tag(word_tokenize(. The "TypeError: unhashable type: 'list'" error occurs when attempting to use a list as a hashable object. , "Flexible function and variable annotations")-compliant typing. Random number generator, unhashable type 'list'. Besides, a tuple is only hashable if each of its elements are hashable. actions) You've probably attempted to use mutable objects such as lists, as the key for a dictionary, or as a member of a set. Python list cannot be an element of a set. 4. This was a deliberate design decision, and can best be explained by first understanding how Python dictionaries work. index [-1]) df_list. If you try to slice a…Misunderstanding in the author list. Here is one way, by turning your series of lists into separate columns, and only keeping the non-duplicates: df [~df [0]. Import系(ImportError) ImportError: No module named そんなモジュールねーよ！どうなってんだ！ Attribute系(AttributeError) AttributeError: 'X' object has no. TypeError: unhashable type: ‘Scatter’ when trying to create scatter plot with multiple axes. 1 Answer. Xarray’s transpose accepts the target dimensions as multiple arguments, not a list of dimensions. apply (pandas. read_excel ('example. 例如，如果我们尝试使用 list 或 numpy. Furthermore, unintended Series objects may be the cause. from typing vs directly referring type as list/tuple/etc 82 TypeError: unhashable type: 'list' when using built-in set function Use something like df[df. 0. Dictionaries can have custom key values and are not indexed from zero. Consider a tuple which has a list (mutable). Hashability makes an object usable as a dictionary key and a set member, because these data structures use the hash value internally. 4. product. The issue is that you have a surrounding set of braces - {. A list is not a hashable data type and cannot be used as a key in a dictionary. This question needs debugging details. . 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. unhashable type nested list into a set Like above, We can convert the nested list into the tuple. pie. Another simple and useful way, how to deal with list objects in DataFrames, is using explode method which is transforming list-like elements to a row (but be aware it replicates index). answered May 2, 2017 at 20:01. I guess they ran out of (types of) braces. inplace bool, default False. Follow edited May 23, 2017 at 12:02. Edit: My df looks like this: python; pandas; syntax-error; typeerror; Share. def addVariableDomain(self,var,domain): self. 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. From your sample dataframe, it appears your airline series consists of list objects. 2 Answers. 1. 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. 要解决 TypeError: unhashable type: ‘list’ 错误，我们可以尝试以下几种方法： 1. You need to pass a list of list of strings to gensim's Word2Vec. gather ( * [get_details (category) for category in category_list] ) return [ {'category': category. As a result the hash can change violating the contract. 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. 0. Furthermore, unintended Series objects may be the cause. str. @dataclass (frozen=True) Set unsafe_hash=True, which will create a __hash__ method but leave your class mutable. replace (p, "") instead. 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. Slicing DataFrames incorrectly or using iterrows without unpacking the return value can produce Series values when it's not the intended type. Tuples are hashable. group (1) foodName = foodName. python; pandas; Share. deepcopy(domain) You may have to do the same wherever var is used as a dictionary key. Generic type-checking. For "TypeError: unhashable type: 'list'", it is because you are actually passing the list in your dict when you seemingly intend to pass the key then access that list: animals_mix (dic ['reptiles'], tmp). 説明変数と目的変数を指定したいのですが、TypeError: unhashable type: 'slice'が. AMC. ndarray をキーとして使用しようとすると、TypeError: unhashable type: 'list'および TypeError: unhashable type: 'numpy. 0. 1 # Unhashable type (dict) 2 my_dict = {'Name': 'Jim', 'Age': 26} ----> 3 print (hash (my_dict)) TypeError: unhashable type: 'dict'. Hashable. NOTE: It wouldn't hurt if the col values are lists and string type. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Community Bot. In the string data type, the values are characters. If True, perform operation in-place. The hash value of an object is meant to semi-uniquely represent that object. 2. Assuming each list within your airline series consists of only one element, you can transform your data before grouping. read_csv (filename) data = data. xlsx', sheet_name='my_sheet') Or for first: df = pd. So you rather want call something like (i don't know what menas your args variable) So you rather want call something like (i. Q&A for work. Dash Python. , my desired output is listC=[[0,1,3],[0,2,3]]. So lists are unhashable: >>> { [1,2]:3 } TypeError: unhashable type: 'list' The following page gives an explanation: . OrderedGroup (1) However, it is then used for a list of pipes. TypeError: unhashable type: 'list' I don't understand the problem because the list is fine. Problem with dictionary iteration in python. For example, using a list as a key in a Python dictionary will cause this error since dictionaries only accept hashable data types as a key. Here's one way to generate a list of all words that appear in either document: infile1 = open("1. That’s because the hash value of an object must remain constant during its lifetime. the list of reference and `candidate' dispaled as below. count(list(t)) > 1} unique_set = seen_set - duplicate_setTypeError: unhashable type: 'numpy. Generally, the cause of the unhashable “TypeError” in Python is when your code is directly or indirectly trying to hash an unhashable data type like lists and Pandas “Series”. 1. Reload to refresh your session. Follow edited May 23, 2017 at 12:09. transform (tuple) – Panwen Wang. If a column is not contained in the DataFrame, an exception will be raised. transpose ('lat','lon','sector','time') Share. Tuples work if you only have two elements each "sub-list", but if you want to remove duplicate sub-lists more generally if you have a list like: 1. gather accepts coroutine (or other awaitable) arguments and returns a tuple of their results in the same order. 1 X,y = df_concat[:1248,[0,2,3,4]],df_concat[:1248,5] 1 件の 質問へ. "TypeError: unhashable type: 'list'" yet I'm trying to only slice the value of the list, not use the list itself. That cannot be done because, as the traceback clearly states, you cannot hash a list type (meaning you. As a solution, simply add the lists together before trying to apply FreqDist, like so: allWords = [] for wordList in words: allWords += wordList FreqDist (allWords) A more complete revision to do what you would like. 4. Since Python 3. Python unhashable type: slice on list. You cannot use a list to index a dictionary, so this: del dic [v] will fail. 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. Learn more about TeamsTypeError: unhashable type: 'list' when using collections. TypeError: unhashable type: 'list' ----> 4 df ['Heavy Rain Indicator'] = (df ['Weather']. How Dictionaries Work. dumps() :2. A list on the other hand is mutable: one can later add/remove/alter elements. TypeError: unhashable type: 'list' in python nltk. But as lists are mutable objects, they do not have a fixed hash value. It's always the same: for one variable to group it's fine, for multiples I get the error: TypeError: unhashable type: 'list' For sure, all these variables are columns in df. In this article, you will learn about how to fix TypeError: unhashable type: ‘list’ in python. string). Now when I am self joining it,it is giving error, TypeError: unhashable type: 'list' . Because a list is mutable, while a tuple is not. Python structures such as Dictionary or a pandas DataFrame or Series objects, require that each object instance is uniquely identified . TypeError: unhashable type: 'list' for comparing pandas columns. You can learn more about the related topics by checking out the following tutorials: TypeError: unhashable type: 'set' in Python [Solved]But not quite. Stack Overflow. Since lists are unhashable types, we get the error TypeError: unhashable type: 'list'. 9,554 10 10 gold badges 38. g. 出てしまいうまく出来ません。. def animals_mix (k, l): list1 = combine2 (FishList, dic [k]) in the first line of animals_mix () you are actually trying to do. From your sample dataframe, it appears your airline series consists of list objects. Also, nested lists might needed to be flattened. When you save and load the data, chances are that it is converted to string, which enables the hash to be calculated. Generally, the cause of the unhashable “TypeError” in Python is when your code is directly or indirectly trying to hash an unhashable data type like lists and Pandas “Series” objects. I have made this column "FN3LN4ZIP" using another larger dataframe. Viewed 3k times. Improve this question. 10 environment on Windows. Here i am using two functions for copying and pasting some required range of cells from one position to another and want to copy the. this error occurs when you try to hash an unhashable object it will result an error. To check if element exists in some List you use in operator, elem in list. variables [0] or self. schemes(v) with v equal to this list. asked Nov 7, 2015 at 8:59. 0 "TypeError: unhashable type: 'list'" yet I'm trying to only slice the value of the list, not use the list itself. Reload to refresh your session. apply (str) Data. In python, a list cannot be used as key in a dict. str. Improve this answer. Internally, GroupBy relies on hashing. Python の TypeError: unhashable type: 'slice' を修正. TypeError: unhashable type: 'list' when using built-in set function. duplicated ("phone")] # name kind phone # 2 [Carol Sway. Wrapping an unhashable type in a tuple doesn't make it hashable. That's fine and all but following the official tutorial (found here) the code doesn't run properly. userThrow = raw_input ("Enter Rock [r] Paper [p] or Scissors [s]") # raw_input () returns a string, and. txt", 'r') infile2 = open("2. 0. Why do I get TypeError: unhashable type when using NLTK lemmatizer on sentence? 1. Unhashable Type ‘List’ in Python. getCostOfActions(self. Hashable objects, on the other hand, are a type of. Immutable Data Types: The built-in hash() function works natively with immutable data types like strings, integers, floats, and tuples. DataFrame'> RangeIndex: 4637 entries, 0 to 4636. Data columns. str. Problems arise when we are not particular about the data type of keys. If an object’s content can change (making it mutable, like lists or dictionaries), it’s typically unhashable. A set needs a list of hashable objects; that is, they are immutable and their state doesn't change after they are created. 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. If an object’s content can change (making it mutable, like lists or dictionaries), it’s typically unhashable. TypeError: unhashable type: 'list' ----> 4 df ['Heavy Rain Indicator'] = (df ['Weather']. In general, if you have some complex expression that causes an exception, the first thing you should do is try to figure out which part of the expression is causing the problem. What could be the reason and how to solve it. Pandas, unique conditional with column string appending. Deep typing. An answer explains that list is not a hashable type in python and. 7 dictionaries are ordered data collections; in Python 3. parameters['scheme'] then you call DefaultPlot. How to lemmatize a list of sentences. ndarray'. You have 3 options: Set frozen=True (in combination with the default eq=True ), which will make your class immutable and hashable. But you can just use a tuple instead. This is a reasonable enough question -- but your lack of a minimal reproducible example is what is probably leading to the downvotes. get (myFoodKey) This results in: TypeError: unhashable type: 'list'. test. items ()) for d in l}] The strategy is to convert the list of dictionaries to a list of tuples where the tuples contain the items of the dictionary. Related. 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. Country = Data. @ForceBru the python docs recommend using set() to create empty sets. Hashing is a mathematical process that turns data into a unique, fixed-length digital representation. Address: 1178 Broadway, 3rd Floor, New York, NY 10001, United States. 5. Viewed 141 times 0 I want to append text column of my dataframe with image paths columns using collections. Sometimes mutable types like lists (or Series in this case) can sneak into your collection of immutable objects. eq(list). dict([d. However, for a few of the columns, such a command does not work. You'd need to make the dict comprehension use nested loops to pull this off, since each value in YiW is a list of keys to make, not a single key. I have 2 questions for the Python Guru's: a) When I look at the Python definition of Hashable -. Teams. I have already checked some question-answers related to Unhashable type : 'list' in stackoverflow, but none of them helped me. append (key) values. Dictionary with lists: TypeError: unhashable type: 'list' 2. What does "TypeError: unhashable type: 'slice'" mean? And how can I fix it? 0. 4. To solve this you can convert the inner lists to tuples before counting them: ALL_ipAddDict = dict (Counter (map (tuple, ALL_ipAdd)). Or stacks contains other data and you didn't showed the right node. Since list is mutable and not hashable, it can't be used for grouping operations. I am guessing it has something to do with df because it works when I am not using data that was loaded in. Improve this question. You are allowed to have a list as a dictionary value. values_counts() I get 2 for Japan and 1 for India. join(drop_values), join the list and pass into str. If you have a list, you can also convert the list to a tuple to make it hashable. 6. My desired output is like: list date_time name value 1 0 2015-05-22 05:37:59 Tom 129 1 2015-05-22 05:37:59 Kate 0 2. What you need is to get just the first item in list, written like so k = list[0]. For ex. append (value) Please don't use dict as a variable name; you are shadowing the built-in type by doing that. If the dictionary contains sub-dictionaries, we might have to take a recursive approach to make it hashable. defaultdict(list). keys or dict. For example, you can use (assuming all values of args and kwargs are hashable) key = ( args , tuple (. 0. cache. Thanks for your answer. 6. There are 4 different ckpt models in models/Stable-diffusion/. cartier April 3, 2018, 4:37am 1. fields is an iterable whose elements are each either name, (name, type) , or (name, type, Field). if userThrow in CompThrowSelection and len (userThrow) == 1: # this checks user's input value is present in your list CompThrowSelection and check the length of input is 1 MatchAssess () and. JDiMatteo JDiMatteo. From the Python glossary: 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 an __eq__ () or __cmp__ () method). You are clearly passing single-element list (square brackets around newk variable). lower(), keep_flag = lambda. Python lists are not hashable because they are mutable. from typing vs directly referring type as list/tuple/etc 82 TypeError: unhashable type: 'list' when using built-in set functionUse something like df[df. Why are slice objects not hashable in python. Learn what this error means, why you see it, and how to solve it with an. Improve this question. head() produces the error: TypeError: unhashable type: 'list' If instead you had tuples as the data then you can groupby that column, you can convert by doing the following: In [454]:TypeError: unhashable type: ‘dict’. Assuming each list within your airline series consists of only one element, you can transform your data before grouping. 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. thor thor. items()[0] for d in new_list_of_dict]) Explanation: items() returns a list of the dictionary's key-value pairs, where each element in the list is a tuple (key, value). The idea is that I analyse a set of facial features from a prepared. Whereas,A dict is not a valid key; it is not a “hashable type” i. also, you may check your variable col which it is not defined in your function, this may be a list. Why Python TypeError: unhashable type: 'list' Hot Network Questions Is a buyout of this kind of an inheritance even an option? Why do most French cities that have more than one word contain dashes in them?. Solution 1 – By Converting list into a tuple. How can I merge rows in pandas Dataframes when the value of a cell in a particular column is same. Hot Network Questions Cramer-Rao bound for biased estimators Drawing chemistry rings with charges on them 70's or 80's movie in which an older gentleman uses a magic paintbrush to paint living children into paintings they can't escape Why not put a crystal oscillator inside the. As a result, it is challenging for the program or application to indicate what is wrong in your script, halting further procedures and terminating the. words () to store all words of the corpus in one list. ndarray'でしょう)は、df1[51]またはdf2[41]のどちらかが文字列の場合に発生するでしょう。 表示されたデータフレームからすると、df2[41]の方が文字列と思われます。 両方とも文字列の場合はエラーは発生しないようです。One way is to convert the troublesome types to hashable alternatives. 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. 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. Jump to solution. Teams. Although Python is what's called a dynamically typed language (meaning you don't have to declare the type while assigning a value to a variable), you can annotate your functions, methods, classes, and objects in general to explicitly tell what kind of. Lê Hồng Nhật. asked Jun 18, 2020 at 7:32. This fails because a list is unhashable. xlsm) file and copying some values from it to some other positions in the same file. You may have observed this, in case you ever tried to use lists as keys in a dictionary. Since it is unhashable, a Series object is not a good fit for any of these. – Eric O. The main difference is that tuples are immutable (cannot be modified after initiation). 2 Answers. b) words = [w for doc in docs for w in doc] to merge your word lists to a single one. An object is hashable if it has a hash value that remains the same during its lifetime.