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How To Resolve IndexError: Too Many Indices For Array In Python - LearnShareIT

How To Resolve IndexError: Too Many Indices For Array In Python

IndexError: too many indices for array in Python

To fix the “IndexError: too many indices for array” error in Python, there are two solutions we have effectively tested. Follow the article to better understand.

What causes the “IndexError: too many indices for array” error?

IndexError: An error occurs when you try to access an item in the list that is out of bounds.

Python arrays include one-dimensional arrays and two-dimensional arrays. A two-dimensional array consisting of one or more arrays within it. To access the 2D array, we will refer to two indices. The first index is the position of the array inside. The second index is the position of the element in that array.

The “IndexError: too many indices for array” error occurs when you access a one-dimensional array as 2D, so the following error occurs.

Example: 

import numpy as np

myArray = np.array([1, 2, 3, 4, 5, 6, 7, 8], dtype = int)
print("myArray[1:2]=", myArray[1, 2])

Output:

Traceback (most recent call last):
  File "prog.py", line 4, in <module>
    print("myArray [1:2]=", myArray [1,2])
IndexError: too many indices for array

In the code above the error occurs when you declare a one-dimensional array but print it out as a two-dimensional array.

How to solve this error?

Check the dimension of the array you declared

Instead of declaring a one-dimensional array, you should declare a two-dimensional array and check its dimension.

Syntax:

array.shape

Example

import numpy as np

myArray = np.array([[1, 2], [3, 4], [5, 6], [7, 8]])

print("The dimension of arr", myArray.shape)
print("myArray[] =", myArray[:, 1])

Output:

The dimension of arr (4, 2)
myArray[] = [2 4 6 8]

After correctly defining the declared array as a 2D array consisting of 4 1-dimensional sub-arrays, each 1-dimensional sub-array consists of 2 elements.

The outputs will return the elements located in column 1 of the 2-dimensional array.

Check if the element in the subarray of the 2D array has the same size

Syntax:

len(name_array.shape)

Example:

import numpy as np

myArray = np.array([[1, 2], [3, 4], [5, 6], [7, 8]])

print("Element of the subarray :", len(myArray.shape))
print("myArray[] =", myArray[:, 1])

Output:

Element of the subarray : 2
myArray[] = [2 4 6 8]

After checking the number of elements in the subarray of the 2D array, you can be sure the subarrays are full of elements. Outputting the elements of a 2D array will not throw an error.

Note: Inhomogeneity in the size of the subarrays also causes the “IndexError: too many indices for array” error.

Summary

If you have any questions about the “IndexError: too many indices for array” error in python, leave a comment below. I will answer your questions.

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