python class does not support item assignment

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TypeError: Type object does not support item assignment: How to fix it?

TypeError: Type object does not support item assignment

Have you ever tried to assign a value to a property of a type object and received a TypeError? If so, you’re not alone. This error is a common one, and it can be frustrating to figure out what went wrong.

In this article, we’ll take a look at what a type object is, why you can’t assign values to its properties, and how to avoid this error. We’ll also provide some examples of how to work with type objects correctly.

So, if you’re ready to learn more about TypeErrors and type objects, read on!

What is a type object?

A type object is a special kind of object that represents a data type. For example, the `int` type object represents the integer data type, and the `str` type object represents the string data type.

Type objects are created when you use the `type()` function. For example, the following code creates a type object for the integer data type:

python int_type = type(1)

Type objects have a number of properties that you can use to get information about them. For example, the `__name__` property returns the name of the type, and the `__bases__` property returns a list of the type’s base classes.

Why can’t you assign values to type objects?

Type objects are immutable, which means that their values cannot be changed. This is because type objects are used to represent the abstract concept of a data type, and their values are not meant to be changed.

If you try to assign a value to a property of a type object, you’ll receive a TypeError. For example, the following code will raise a TypeError:

python int_type.name = “New name”

How to avoid TypeErrors

To avoid TypeErrors, you should never try to assign values to properties of type objects. If you need to change the value of a property, you should create a new object with the desired value.

For example, the following code correctly changes the value of the `name` property of an integer object:

python new_int = int(1) new_int.name = “New name”

TypeErrors can be frustrating, but they can usually be avoided by understanding what type objects are and how they work. By following the tips in this article, you can avoid these errors and write more robust code.

A TypeError is a type of error that occurs when an operation or function is applied to an object of an inappropriate type. For example, trying to assign a value to an attribute of a type object will result in a TypeError.

TypeErrors can be difficult to debug, because they can occur in a variety of situations. However, by understanding what causes a TypeError, you can be better equipped to avoid them.

What causes a TypeError?

There are a few different things that can cause a TypeError:

Using an incompatible data type: One of the most common causes of a TypeError is using an incompatible data type. For example, trying to add a string to a number will result in a TypeError.
Using an invalid operator: Another common cause of a TypeError is using an invalid operator. For example, trying to divide a number by zero will result in a TypeError.
Calling a method on an object that doesn’t support it: Finally, trying to call a method on an object that doesn’t support it can also result in a TypeError. For example, trying to call the `.sort()` method on a string will result in a TypeError.

There are a few things you can do to avoid TypeErrors:

Be careful about the data types you use: Make sure that you are using the correct data types for your operations. For example, if you are adding two numbers, make sure that both numbers are numbers.
Use the correct operators: Make sure that you are using the correct operators for your operations. For example, if you are dividing two numbers, use the `/` operator.
Read the documentation: If you are not sure whether a method is supported by an object, read the documentation to find out.

By following these tips, you can help to avoid TypeErrors in your code.

TypeErrors can be a frustrating experience, but they can also be a learning opportunity. By understanding what causes a TypeError, you can be better equipped to avoid them. And by following the tips in this article, you can help to reduce the number of TypeErrors in your code.

Additional resources

[Python TypeError documentation](https://docs.python.org/3/library/exceptions.htmlTypeError)
[Stack Overflow: TypeError questions](https://stackoverflow.com/questions/tagged/typeerror)
[Real Python: How to avoid TypeErrors in Python](https://realpython.com/python-typeerror/)

3. How to fix a TypeError?

To fix a TypeError, you need to identify the cause of the error and then take steps to correct it. Some common fixes include:

Using the correct data type

Using the correct operator

Calling the correct method on the object

Let’s take a look at some examples of how to fix each of these types of errors.

One of the most common causes of TypeErrors is using the wrong data type. For example, if you try to add a string to an integer, you will get a TypeError because strings and integers are different data types. To fix this error, you need to convert the string to an integer or the integer to a string.

x = ‘123’ y = 456

This will raise a TypeError because you cannot add a string to an integer z = x + y

To fix this error, you can convert the string to an integer z = int(x) + y

Another common cause of TypeErrors is using the wrong operator. For example, if you try to divide an integer by a string, you will get a TypeError because you cannot divide an integer by a string. To fix this error, you need to use the correct operator.

x = 123 y = ‘456’

This will raise a TypeError because you cannot divide an integer by a string z = x / y

To fix this error, you can use the `str()` function to convert the string to an integer z = x / int(y)

Finally, another common cause of TypeErrors is calling the wrong method on an object. For example, if you try to call the `len()` method on a string, you will get a TypeError because the `len()` method is not defined for strings. To fix this error, you need to call the correct method on the object.

x = ‘hello’

This will raise a TypeError because the `len()` method is not defined for strings y = len(x)

To fix this error, you can use the `str()` function to convert the string to an integer y = len(str(x))

By following these tips, you can help to avoid TypeErrors in your Python code.

4. Examples of TypeErrors

Here are some examples of TypeErrors:

x = ‘hello’ x[0] = ‘a’

This will result in a TypeError because strings are immutable and cannot be changed.

print(int(‘123’))

This will also result in a TypeError because the string ‘123’ cannot be converted to an integer.

class MyClass: def __init__(self, name): self.name = name

my_class = MyClass(‘John’) my_class.name = ‘Jane’

This will also result in a TypeError because the method `name` is not defined on the `MyClass` object.

TypeErrors are a common problem in Python, but they can be easily avoided by following the tips in this article. By using the correct data types, operators, and methods, you can help to ensure that your Python code is free of errors.

Q: What does the error “TypeError: type object does not support item assignment” mean?

A: This error occurs when you try to assign a value to a property of a type object. For example, the following code will raise an error:

>>> type = type(‘MyType’, (object,), {}) >>> type.name = ‘MyType’ Traceback (most recent call last): File “ “, line 1, in TypeError: type object does not support item assignment

The reason for this error is that type objects are immutable, which means that their properties cannot be changed after they are created. If you need to change the value of a property of a type object, you can create a new type object with the desired value.

Q: How can I fix the error “TypeError: type object does not support item assignment”?

A: There are two ways to fix this error. The first way is to create a new type object with the desired value. For example, the following code will fix the error in the example above:

>>> type = type(‘MyType’, (object,), {‘name’: ‘MyType’}) >>> type.name ‘MyType’

The second way to fix this error is to use a dictionary to store the properties of the type object. For example, the following code will also fix the error in the example above:

>>> type = type(‘MyType’, (object,), {}) >>> type.__dict__[‘name’] = ‘MyType’ >>> type.name ‘MyType’

Q: What are some common causes of the error “TypeError: type object does not support item assignment”?

A: There are a few common causes of this error. The first is trying to assign a value to a property of a type object that does not exist. For example, the following code will raise an error:

>>> type = type(‘MyType’, (object,), {}) >>> type.foo = ‘bar’ Traceback (most recent call last): File “ “, line 1, in AttributeError: type object has no attribute ‘foo’

The second is trying to assign a value to a property of a type object that is read-only. For example, the following code will also raise an error:

>>> type = type(‘MyType’, (object,), {}) >>> type.name = ‘MyType’ Traceback (most recent call last): File “ “, line 1, in TypeError: can’t set attribute ‘name’ of type object

The third is trying to assign a value to a property of a type object that is not a valid type. For example, the following code will also raise an error:

>>> type = type(‘MyType’, (object,), {}) >>> type.name = 123 Traceback (most recent call last): File “ “, line 1, in TypeError: can’t assign int to str object

Q: How can I avoid the error “TypeError: type object does not support item assignment”?

A: There are a few things you can do to avoid this error. First, make sure that you are trying to assign a value to a property of a type object that exists. Second, make sure that you are not trying to assign a value to a property of a type object that is read-only. Third, make sure that you are not trying to assign a value to a property of a type object that is not a valid type.

Here are some specific examples of how to avoid this error:

Instead of trying to assign a value to the `name` property of a type object, you can create a new type object with the desired value. For example:

>>> type = type(‘MyType’, (object,), {‘name’: ‘MyType’})

Instead of trying to assign a value to the `name` property of a type object, you can use a dictionary to store the properties of the type object. For example:

>>> type = type(‘MyType’, (object,), {}) >>> type.__dict__[‘name’] = ‘MyType’

Instead of trying to assign a value to the `name` property of a type object, you can use a getter and setter method to access the property. For example:

In this blog post, we discussed the TypeError: type object does not support item assignment error. We first explained what the error is and then provided several ways to fix it. We also discussed some common causes of the error and how to avoid them.

We hope that this blog post has been helpful and that you now have a better understanding of the TypeError: type object does not support item assignment error. If you have any other questions or comments, please feel free to leave them below.

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TypeError: 'tuple' object does not support item assignment

Last updated: Apr 8, 2024 Reading time · 4 min

# TypeError: 'tuple' object does not support item assignment

The Python "TypeError: 'tuple' object does not support item assignment" occurs when we try to change the value of an item in a tuple.

To solve the error, convert the tuple to a list, change the item at the specific index and convert the list back to a tuple.

Here is an example of how the error occurs.

We tried to update an element in a tuple, but tuple objects are immutable which caused the error.

# Convert the tuple to a list to solve the error

We cannot assign a value to an individual item of a tuple.

Instead, we have to convert the tuple to a list.

convert tuple to list to solve the error

This is a three-step process:

Use the list() class to convert the tuple to a list.
Update the item at the specified index.
Use the tuple() class to convert the list back to a tuple.

Once we have a list, we can update the item at the specified index and optionally convert the result back to a tuple.

Python indexes are zero-based, so the first item in a tuple has an index of 0 , and the last item has an index of -1 or len(my_tuple) - 1 .

# Constructing a new tuple with the updated element

Alternatively, you can construct a new tuple that contains the updated element at the specified index.

construct new tuple with updated element

The get_updated_tuple function takes a tuple, an index and a new value and returns a new tuple with the updated value at the specified index.

The original tuple remains unchanged because tuples are immutable.

We updated the tuple element at index 1 , setting it to Z .

If you only have to do this once, you don't have to define a function.

The code sample achieves the same result without using a reusable function.

The values on the left and right-hand sides of the addition (+) operator have to all be tuples.

The syntax for tuple slicing is my_tuple[start:stop:step] .

The start index is inclusive and the stop index is exclusive (up to, but not including).

If the start index is omitted, it is considered to be 0 , if the stop index is omitted, the slice goes to the end of the tuple.

# Using a list instead of a tuple

Alternatively, you can declare a list from the beginning by wrapping the elements in square brackets (not parentheses).

Declaring a list from the beginning is much more efficient if you have to change the values in the collection often.

Tuples are intended to store values that never change.

# How tuples are constructed in Python

In case you declared a tuple by mistake, tuples are constructed in multiple ways:

Using a pair of parentheses () creates an empty tuple
Using a trailing comma - a, or (a,)
Separating items with commas - a, b or (a, b)
Using the tuple() constructor

# Checking if the value is a tuple

You can also handle the error by checking if the value is a tuple before the assignment.

If the variable stores a tuple, we set it to a list to be able to update the value at the specified index.

The isinstance() function returns True if the passed-in object is an instance or a subclass of the passed-in class.

If you aren't sure what type a variable stores, use the built-in type() class.

The type class returns the type of an object.

# Additional Resources

You can learn more about the related topics by checking out the following tutorials:

How to convert a Tuple to an Integer in Python
How to convert a Tuple to JSON in Python
Find Min and Max values in Tuple or List of Tuples in Python
Get the Nth element of a Tuple or List of Tuples in Python
Creating a Tuple or a Set from user Input in Python
How to Iterate through a List of Tuples in Python
Write a List of Tuples to a File in Python
AttributeError: 'tuple' object has no attribute X in Python
TypeError: 'tuple' object is not callable in Python [Fixed]

Borislav Hadzhiev

Web Developer

[Solved] TypeError: ‘str’ Object Does Not Support Item Assignment

In this article, we will be discussing the TypeError:’str’ Object Does Not Support Item Assignment exception . We will also be going through solutions to this problem with example programs.

Why is This Error Raised?

When you attempt to change a character within a string using the assignment operator, you will receive the Python error TypeError: ‘str’ object does not support item assignment.

As we know, strings are immutable. If you attempt to change the content of a string, you will receive the error TypeError: ‘str’ object does not support item assignment .

There are four other similar variations based on immutable data types :

TypeError: 'tuple' object does not support item assignment
TypeError: 'int' object does not support item assignment
TypeError: 'float' object does not support item assignment
TypeError: 'bool' object does not support item assignment

Replacing String Characters using Assignment Operators

Replicate these errors yourself online to get a better idea here .

In this code, we will attempt to replace characters in a string.

Strings are an immutable data type. However, we can change the memory to a different set of characters like so:

TypeError: ‘str’ Object Does Not Support Item Assignment in JSON

Let’s review the following code, which retrieves data from a JSON file.

In line 5, we are assigning data['sample'] to a string instead of an actual dictionary. This causes the interpreter to believe we are reassigning the value for an immutable string type.

TypeError: ‘str’ Object Does Not Support Item Assignment in PySpark

The following program reads files from a folder in a loop and creates data frames.

This occurs when a PySpark function is overwritten with a string. You can try directly importing the functions like so:

TypeError: ‘str’ Object Does Not Support Item Assignment in PyMongo

The following program writes decoded messages in a MongoDB collection. The decoded message is in a Python Dictionary.

At the 10th visible line, the variable x is converted as a string.

It’s better to use:

Please note that msg are a dictionary and NOT an object of context.

TypeError: ‘str’ Object Does Not Support Item Assignment in Random Shuffle

The below implementation takes an input main and the value is shuffled. The shuffled value is placed into Second .

random.shuffle is being called on a string, which is not supported. Convert the string type into a list and back to a string as an output in Second

TypeError: ‘str’ Object Does Not Support Item Assignment in Pandas Data Frame

The following program attempts to add a new column into the data frame

The iteration statement for dataset in df: loops through all the column names of “sample.csv”. To add an extra column, remove the iteration and simply pass dataset['Column'] = 1 .

[Solved] runtimeerror: cuda error: invalid device ordinal

These are the causes for TypeErrors : – Incompatible operations between 2 operands: – Passing a non-callable identifier – Incorrect list index type – Iterating a non-iterable identifier.

The data types that support item assignment are: – Lists – Dictionaries – and Sets These data types are mutable and support item assignment

As we know, TypeErrors occur due to unsupported operations between operands. To avoid facing such errors, we must: – Learn Proper Python syntax for all Data Types. – Establish the mutable and immutable Data Types. – Figure how list indexing works and other data types that support indexing. – Explore how function calls work in Python and various ways to call a function. – Establish the difference between an iterable and non-iterable identifier. – Learn the properties of Python Data Types.

We have looked at various error cases in TypeError:’str’ Object Does Not Support Item Assignment. Solutions for these cases have been provided. We have also mentioned similar variations of this exception.

Fix Python TypeError: 'str' object does not support item assignment

by Nathan Sebhastian

Posted on Jan 11, 2023

Reading time: 4 minutes

python class does not support item assignment

Python shows TypeError: 'str' object does not support item assignment error when you try to access and modify a string object using the square brackets ( [] ) notation.

To solve this error, use the replace() method to modify the string instead.

This error occurs because a string in Python is immutable, meaning you can’t change its value after it has been defined.

For example, suppose you want to replace the first character in your string as follows:

The code above attempts to replace the letter H with J by adding the index operator [0] .

But because assigning a new value to a string is not possible, Python responds with the following error:

To fix this error, you can create a new string with the desired modifications, instead of trying to modify the original string.

This can be done by calling the replace() method from the string. See the example below:

The replace() method allows you to replace all occurrences of a substring in your string.

This method accepts 3 parameters:

old - the substring you want to replace
new - the replacement for old value
count - how many times to replace old (optional)

By default, the replace() method replaces all occurrences of the old string:

You can control how many times the replacement occurs by passing the third count parameter.

The code below replaces only the first occurrence of the old value:

And that’s how you can modify a string using the replace() method.

If you want more control over the modification, you can use a list.

Convert the string to a list first, then access the element you need to change as shown below:

After you modify the list element, merge the list back as a string by using the join() method.

This solution gives you more control as you can select the character you want to replace. You can replace the first, middle, or last occurrence of a specific character.

Another way you can modify a string is to use the string slicing and concatenation method.

Consider the two examples below:

In both examples, the string slicing operator is used to extract substrings of the old_str variable.

In the first example, the slice operator is used to extract the substring starting from index 1 to the end of the string with old_str[1:] and concatenates it with the character ‘J’ .

In the second example, the slice operator is used to extract the substring before index 7 with old_str[:7] and the substring after index 8 with old_str[8:] syntax.

Both substrings are joined together while putting the character x in the middle.

The examples show how you can use slicing to extract substrings and concatenate them to create new strings.

But using slicing and concatenation can be more confusing than using a list, so I would recommend you use a list unless you have a strong reason.

The Python error TypeError: 'str' object does not support item assignment occurs when you try to modify a string object using the subscript or index operator assignment.

This error happens because strings in Python are immutable and can’t be modified.

The solution is to create a new string with the required modifications. There are three ways you can do it:

Use replace() method
Convert the string to a list, apply the modifications, merge the list back to a string
Use string slicing and concatenation to create a new string

Now you’ve learned how to modify a string in Python. Nice work!

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Typeerror: nonetype object does not support item assignment

When working with Python projects, we may come across an error that reads “Typeerror: nonetype object does not support item assignment” .

At first glance, this error message can seem cryptic and frustrating. However, it’s actually a helpful clue that points toward the root of the problem.

In this guide, we’ll explore the causes of this error as well as provide practical examples of how to resolve it.

By the end of this guide, we’ll have a better understanding of how to prevent and fix this error in Python.

What is Typeerror: nonetype object does not support item assignment?

The Python error TypeError: ‘NoneType’ object does not support item assignment occurs means that we are trying to assign a value to an object that has a value of None (or null in other programming languages).

Moreover, None is a special value that represents the absence of a value.

Thus it is often used as a default value for function arguments or to indicate that a variable has not been initialized.

Take a look at the next section on how this error occurs…

How to reproduce Typeerror: nonetype object does not support item assignment

Here’s an example code snippet that could produce this error:

In this code, we have a variable x that has not been assigned a value. Its value will be None by default.

Therefore if we try to assign a value to x[0] , you will get a TypeError because you cannot assign a value to an index of None.

Now let’s find the possible factors why and when we can get this error. Hence you might consider in finding solutions.

When do we get this error?

These are the common possible causes when we got the TypeError: ‘NoneType’ object does not support item assignment.

Trying to assign a value to a variable that has not been initialized or is set to None.
Using the wrong data type in an operation that requires a mutable object, such as a list or dictionary.
Calling a function that returns None and trying to perform an item assignment on the result.
Accessing an object that does not exist, which results in None.
Overwriting a variable with a function that returns None, causing the variable to become None.
Using the wrong variable name or referencing the wrong object in a function call.

This time let’s figure out what are the solutions to this error…

How to fix nonetype object does not support item assignment

Here are the possible solutions you can try in fixing the error nonetype object does not support item assignment .

Solution 1: Verify why the variable is assigned to the value None

The first way to fix the error is to ensure why the variable is assigned to None.

Meanwhile, if we assigned a mutable collection of objects (list, set, array, etc.) in a variable it will definitely fix the error.

For example:

[10, 20, 30]

Solution 2: Skip assigning the value using the index if variable is None

In this solution, we should avoid assigning the value using the index, when the variable is assigned to None.

In short, accessing value with an index is pointless.

We should do this way instead:

Solution 3: Create a list with a value assigned to None

Create a list with values assigned to when a variable is assigned to None needs to store values in the variable.

Moreover, the index should be available in the list. Wherein the list assigned to the value None is changeable by adding values to the index.

[5, None, None, None, None, None, None, None, None, None]

Anyway, we also have a solution for Typeerror series objects are mutable thus they cannot be hashed errors, you might encounter.

To conclude, Typeerror: nonetype object does not support item assignment occurs when we are trying to assign a value to an object which has a value of None.

To fix this error, we need to make sure that the variable we are trying to access has a valid value before trying to assign an item to it.

I think that’s all for this guide. We hope you have learned and we helped you fix your error.

Thank you for reading! 😊

TypeError: 'src' object does not support item assignment

The assignment str[i] = str[j] is working inconsistently. Please refer to the screenshots and let me know if I am missing something.

We are receiving TypeError: ‘src’ object does not support item assignment

Regards, Praveen. Thank you!

Please don’t use screenshots. Show the code and the traceback as text.

Strings are immutable. You can’t modify a string by trying to change a character within.

You can create a new string with the bits before, the bits after, and whatever you want in between.

Yeah, you cannot assign a string to a variable, and then modify the string, but you can use the string to create a new one and assign that result to the same variable. Borrowing some code from @BowlOfRed above, you can do this:

How to Fix: ‘numpy.float64’ object does not support item assignment

One common error you may encounter when using Python is:

This error usually occurs when you attempt to use brackets to assign a new value to a NumPy variable that has a type of float64 .

The following example shows how to resolve this error in practice.

How to Reproduce the Error

Suppose we create some NumPy variable that has a value of 15.22 and we attempt to use brackets to assign it a new value of 13.7 :

We receive the error that ‘numpy.float64’ object does not support item assignment .

We received this error because one_float is a scalar but we attempted to treat it like an array where we could use brackets to change the value in index position 0.

Since one_float is not an array, we can’t use brackets when attempting to change its value.

How to Fix the Error

The way to resolve this error is to simply not use brackets when assigning a new value to the float:

We’re able to successfully change the value from 15.22 to 13.7 because we didn’t use brackets.

Note that it’s fine to use brackets to change values in specific index positions as long as you’re working with an array.

For example, the following code shows how to change the first element in a NumPy array from 15.22 to 13.7 by using bracket notation:

This time we don’t receive an error either because we’re working with a NumPy array so it makes sense to use brackets.

Additional Resources

The following tutorials explain how to fix other common errors in Python:

How to Fix in Python: ‘numpy.ndarray’ object is not callable How to Fix: TypeError: ‘numpy.float64’ object is not callable How to Fix: Typeerror: expected string or bytes-like object

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Python ‘str’ object does not support item assignment solution

Strings in Python are immutable. This means that they cannot be changed. If you try to change the contents of an existing string, you’re liable to find an error that says something like “‘str’ object does not support item assignment”.

In this guide, we’re going to talk about this common Python error and how it works. We’ll walk through a code snippet with this error present so we can explore how to fix it.

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The problem: ‘str’ object does not support item assignment.

Let’s start by taking a look at our error: Typeerror: ‘str’ object does not support item assignment.

This error message tells us that a string object (a sequence of characters) cannot be assigned an item. This error is raised when you try to change the value of a string using the assignment operator.

The most common scenario in which this error is raised is when you try to change a string by its index values . The following code yields the item assignment error:

You cannot change the character at the index position 0 because strings are immutable.

You should check to see if there are any string methods that you can use to create a modified copy of a string if applicable. You could also use slicing if you want to create a new string based on parts of an old string.

An Example Scenario

We’re going to write a program that checks whether a number is in a string. If a number is in a string, it should be replaced with an empty string. This will remove the number. Our program is below:

This code accepts a username from the user using the input() method . It then loops through every character in the username using a for loop and checks if that character is a number. If it is, we try to replace that character with an empty string. Let’s run our code and see what happens:

Our code has returned an error.

The cause of this error is that we’re trying to assign a string to an index value in “name”:

The Solution

We can solve this error by adding non-numeric characters to a new string. Let’s see how it works:

This code replaces the character at name[c] with an empty string.

We have created a separate variable called “final_username”. This variable is initially an empty string. If our for loop finds a character that is not a number, that character is added to the end of the “final_username” string. Otherwise, nothing happens. We check to see if a character is a number using the isnumeric() method.

We add a character to the “final_username” string using the addition assignment operator. This operator adds one value to another value. In this case, the operator adds a character to the end of the “final_username” string.

Let’s run our code:

Our code successfully removed all of the numbers from our string. This code works because we are no longer trying to change an existing string. We instead create a new string called “final_username” to which we add all the letter-based characters from our username string.

In Python, strings cannot be modified. You need to create a new string based on the contents of an old one if you want to change a string.

The “‘str’ object does not support item assignment” error tells you that you are trying to modify the value of an existing string.

Now you’re ready to solve this Python error like an expert.

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How to Solve Python TypeError: ‘tuple’ object does not support item assignment

by Suf | Programming , Python , Tips

Tuples are immutable objects, which means you cannot change them once created. If you try to change a tuple in place using the indexing operator [], you will raise the TypeError: ‘tuple’ object does not support item assignment.

To solve this error, you can convert the tuple to a list, perform an index assignment then convert the list back to a tuple.

This tutorial will go through how to solve this error and solve it with the help of code examples.

Typeerror: ‘tuple’ object does not support item assignment.

Let’s break up the error message to understand what the error means. TypeError occurs whenever you attempt to use an illegal operation for a specific data type.

The part 'tuple' object tells us that the error concerns an illegal operation for tuples.

The part does not support item assignment tells us that item assignment is the illegal operation we are attempting.

Tuples are immutable objects, which means we cannot change them once created. We have to convert the tuple to a list, a mutable data type suitable for item assignment.

Let’s look at an example of assigning items to a list. We will iterate over a list and check if each item is even. If the number is even, we will assign the square of that number in place at that index position.

Let’s run the code to see the result:

We can successfully do item assignments on a list.

Let’s see what happens when we try to change a tuple using item assignment:

We throw the TypeError because the tuple object is immutable.

To solve this error, we need to convert the tuple to a list then perform the item assignment. We will then convert the list back to a tuple. However, you can leave the object as a list if you do not need a tuple.

Let’s run the code to see the updated tuple:

Congratulations on reading to the end of this tutorial. The TypeError: ‘tuple’ object does not support item assignment occurs when you try to change a tuple in-place using the indexing operator [] . You cannot modify a tuple once you create it. To solve this error, you need to convert the tuple to a list, update it, then convert it back to a tuple.

For further reading on TypeErrors, go to the article:

How to Solve Python TypeError: ‘str’ object does not support item assignment

To learn more about Python for data science and machine learning, go to the online courses page on Python for the most comprehensive courses available.

Have fun and happy researching!