List object has no attribute shape python

How to Solve Python AttributeError: ‘list’ object has no attribute ‘shape’

In Python, the list data structure stores elements in sequential order. The numpy.shape() function gives us the number of elements in each dimension of an array. We cannot use the shape function on a list. If we try to use the numpy.shape() function on a list, you will raise the error “AttributeError: ‘list’ object has no attribute ‘shape’”.

We have to convert the list to a numpy array using numpy.array() before trying to use any NumPy functions. We can check what the type of an object is by using type()

This tutorial will go into detail on the error definition. We will go through an example that causes the error and how to solve it.

Table of contents

AttributeError: ‘list’ object has no attribute ‘shape’

AttributeError occurs in a Python program when we try to access an attribute (method or property) that does not exist for a particular object. The part “‘list’ object has no attribute ‘shape’” tells us that the list object we are handling does not have the shape attribute. We will raise this error if we try to call the numpy.shape() method on a list object. shape() is a NumPy function that returns a tuple containing the number of elements in each dimension of an array.

NumPy shape Syntax

The syntax for the NumPy array method shape is as follows:

• shape: tuple of ints. The elements of the shape tuple provide the lengths of the input array dimensions.

Let’s look at an example of getting the shape of two NumPy arrays:

import numpy as np arr = np.array([[2, 4, 6], [1, 3, 5]]) arr2 = np.array([[[2, 4], [6, 8]],[[1, 3], [5, 7]]]) print(f'The shape of the first array is ') print(f'The shape of the second array is ')

The shape of the first array is (2, 3) The shape of the second array is (2, 2, 2)

The example above tells us that the shape of the first array is (2, 3) and the second array is (2, 2, 2). arr has two dimensions and each dimension has three elements. arr2 has three dimensions and each dimension has two rows and two columns.

Example

Let’s look at an example of where we try to get the shape of a list:

lst = [[2, 4, 6], [8, 10, 12]] print(lst.shape)

--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) 1 lst = [2, 4, 6, 8, 10, 12] 2 ----≻ 3 print(lst.shape) AttributeError: 'list' object has no attribute 'shape'

We get an error because we can only get the shape of NumPy arrays.

Solution: Convert List to NumPy Array Using numpy.array()

To convert a list to an array we can use the numpy.array() method. Let’s look at the revised code:

lst = [[2, 4, 6], [8, 10, 12]] print(type(lst)) arr = np.array(lst) print(type(arr)) print(f'The shape of the array is ')

Let’s run the code to get the result:

≺class 'list'≻ ≺class 'numpy.ndarray'≻ The shape of the array is (2, 3)

The output tells us that the original object is a list, the numpy.array() method returns a NumPy ndarray, and that the shape of this array is (2, 3). The array has two dimensions and each dimension has three elements.

Summary

Congratulations on reading to the end of this tutorial! The error “AttributeError: ‘list’ object has no attribute ‘shape’” occurs when you try to use the NumPy array method shape to get the shape of a list.

The shape() method is suitable for NumPy arrays. If you want to use the shape() method you have to convert the list to an array using the numpy.array() method.

Generally, check the type of object you are using before you call the shape() method.

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.

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How To Solve “AttributeError: ‘List’ Object Has No Attribute ‘Shape’” In Python

The error “AttributeError: ‘list’ object has no attribute ‘shape’” happens when accessing the ‘shape’ property in a list. To fix the error in Python, follow the article to better understand.

AttributeError: ‘list’ object has no attribute ‘shape’

lstNumber = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] print(f'The shape of the array is ')

Traceback (most recent call last): File "prog.py", line 2, in print(f'The shape of the array is ') AttributeError: 'list' object has no attribute 'shape'

The error happens when accessing the ‘shape’ property in a list. Because the ‘shape’ property tells us the shape of the array, using it on a list will cause an error.

How to solve this error?

Use numpy.array to convert the list to a numpy array

Numpy (numeric in Python) is a math library in Python. This library is quite popular and influential, allowing users to work efficiently with arrays and matrices, especially with extensive data, with the processing speed of numpy letters. The library is many times faster than pure ‘core Python’.

To be able to solve the above error, it is necessary to return the list to the numpy array form using the numpy.array function, the ‘shape’ attribute can be used without causing program errors.

The ‘shape’ attribute returns the tuple that is the size of that array.

import numpy as np lstNumber = [[1,2,3], [4,5,6], [7,8,9]] print(type(lstNumber)) # Convert list to numpy array myArray = np.array(lstNumber) print(type(myArray)) # Accessing property 'shape' print(f'The shape of the array is ')

  The shape of the array is (3, 3)

First, lstNumber is a list, then I use the function numpy.array to convert it to type ndarray and access the attribute ‘shape’. The ‘shape’ attribute returns the tuple of the size of the array. The above example ‘shape’ attribute returns a three-dimensional array and three elements.

Use numpy.shape method

In the first method, I solve the problem by the indirect method. With this 2nd method, I will use numpy.shape function directly to solve the problem. Argument of function as an array object and returns the shape of the array.

import numpy as np arrNumber = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) print(f'The shape of the array is ')

The shape of the array is (3, 3)

The numpy.shape method returns a tuple that is a three-dimensional and three-element array.

Summary

If you have any questions about the error “AttributeError: ‘list’ object has no attribute ‘shape’” in Python, let leave a comment below. I will answer your questions.

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AttributeError: list object has no attribute shape ( Solved )

AttributeError: list object has no attribute shape error occurs when we invoke shape attribute from list type object. However, shape() is not defined within the list class. The best way to fix this issue is to use len() function. Since this list data structure is only one dimensional and it has only length. Hence the shape will be nothing but the length. The shape() function works with two-dimensional data structures like dataframe or multi-dimensional n-array.

AttributeError: list object has no attribute shape ( Solution ) –

There are two main concepts to fix this error. One is to either change the object or class which has the correct attributeerror. The second way is to change the attribute with the correct base class which provides the same functionality. To understand the concept read the below article.

AttributeError: list object has no attribute [ Attribute_Name] ( Solved )

Now, lets us specifically understand to fix this error but before that, we will replace this error, and then we will fix it. For this we will create the sample list and then invoke the shape() AttributeError.

Solution 1: Converting a list to Numpy Array –

Here we will convert the list to a numpy array and then we invoke this shape function. Since numpy has the already shape() function attribute then the interpreter will not throw any error.

import numpy sample_list=['A','B','C'] sample_arr=numpy.array(sample_list) sample_arr.shape

Solution 2 : Using len() function as alternative –

Since the intent is to check the shape and hence we can use len() function like below.

import numpy sample_list=['A','B','C'] print(len(sample_list))

Conclusion –

There is so many errors in a similar context but the fix will be on the same pitch. Please go through the below article for a strong hold.

AttributeError list object has no attribute split ( Solved )

AttributeError list object has no attribute split ( Solved )

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Attributeerror: list object has no attribute shape [SOLVED]

The “AttributeError: ‘list’ object has no attribute ‘shape’” is a Python error message that occurs when you try to access the “shape” attribute of a list object.

In this article, we are going to fix the Attributeerror: list object has no attribute shape . We will provide a brief discussion, of the causes, and solutions regarding the error.

What is Attributeerror: list object has no attribute shape?

In Python, the AttributeError is a type of error that is raised when an object does not have the attribute that is being referenced or called.

In this particular case, the error message “AttributeError: list object has no attribute ‘shape’” means that you are trying to access the shape attribute of a Python list object. However, list objects do not have a shape attribute, which is commonly used with numpy arrays.

The shape attribute is used to get the dimensions of an array. Therefore, this error usually occurs when you are trying to treat a list as an array and are using a function or attribute that is specific to arrays, such as shape.

Why Attributeerror: list object has no attribute shape occurs?

The error “AttributeError: ‘list’ object has no attribute ‘shape’” occurs because the attribute “shape” is not defined for a list object in Python.

The “shape” attribute is used to retrieve the dimensions of a NumPy array, but it is not applicable to a Python list because lists are not structured as arrays with defined dimensions.

Here’s an example code that could raise the AttributeError:

import numpy as np my_list = [1, 2, 3, 4, 5] my_list.shape

In this code, we first import the numpy library, which provides an array object that has a shape attribute. Then, we create a simple Python list my_list with five elements.

The error occurs when we try to access the shape attribute of my_list by calling my_list.shape. Since my_list is a list and not a numpy array, it does not have a shape attribute, resulting in the AttributeError being raised.

my_list.shape AttributeError: 'list' object has no attribute 'shape'

How to Fix Attributeerror: list object has no attribute shape?

There are two ways to resolve This AttributeError. One is to modify the object or class that is causing the error to have the correct attribute. The other way is to modify the attribute itself by using a base class that provides the desired functionality. To clearly understand this concept, refer to read the article below.

Solution Number 1. Convert my_list to a numpy array using the np.array() function.

If you are trying to work with arrays, you should use NumPy arrays instead of lists.

Try to use this given code example:

my_array = np.array(my_list) print(my_array.shape)

Here is the first solution that we apply to our given example error above.

import numpy as np my_list = [1, 2, 3, 4, 5] my_array = np.array(my_list) print(my_array.shape)

Solution Number 2. Use functions that are specific to lists, such as len() to get the length of the list.

If you are not working with arrays and just need to access the length of a list, you can use the len() function as follows:

Here is the Second solution that we apply to our given example error above

import numpy as np my_list = [1, 2, 3, 4, 5] print(len(my_list))

Conclusion

In conclusion, the article Attributeerror: list object has no attribute shape is a Python error message that occurs when you try to access the “shape” attribute of a list object.

By following the given solution, surely you can fix the error quickly and proceed to your coding project again.

If you have any questions or suggestions, please leave a comment below. For more attributeerror tutorials in Python, visit our website.

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