Introduction
Another article where the main focus is to discuss on how ot handle the error message appear upon accessing the NumPy array elements. Basically, this error message appear upon the process of trial to access or to index the NumPy array element. The process for doing that is available in the previous article. It is an article with the title of ‘How to Access or to Index NumPy Array’ in this link. In order to use NumPy library and also define a NumPy array just take a look in the previous article to understand the setup. It is an article with the title of ‘How to Use NumPy’ in this link.
How to Solve Error Message IndexError: too many indices for array: array is 0-dimensional
Basically, after getting NumPy library and also defining NumPy array, the process for accessing an element inside NumPy array trigger an error message as follows :
Microsoft Windows [Version 10.0.22000.856] (c) Microsoft Corporation. All rights reserved. C:\Users\Personal>python Python 3.10.5 (tags/v3.10.5:f377153, Jun 6 2022, 16:14:13) [MSC v.1929 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import numpy as np >>> numpy_array = np.array(1) >>> print(numpy_array[0]) Traceback (most recent call last): File "<stdin>", line 1, in <module> IndexError: too many indices for array: array is 0-dimensional, but 1 were indexed >>>
Apparently, the solution for solving the above problem is very easy. It appears the trigger for the error message appear because of the false definition or declaration of the NumPy array itself. The following is the line which is defining or declaring the NumPy array :
>>> numpy_array = np.array(1)
Although it has an element which is become the parameter or the argument to declare or to define the NumPy array, the format is not suitable for further access. The above definition or declaration will only create a zero dimension NumPy array. It will cause the NumPy array to have no elements at all for further access. In that case, in order to access at least only one element from the NumPy array variable, just redeclare it with the correct format as follows :
>>> numpy_array = np.array([1])
It need to have a square bracket as an array definition to contain the element. So, after correcting the NumPy array declaration, it will handle the error message which is enabling to access and print the element as follows :
Microsoft Windows [Version 10.0.22000.856] (c) Microsoft Corporation. All rights reserved. C:\Users\Personal>python Python 3.10.5 (tags/v3.10.5:f377153, Jun 6 2022, 16:14:13) [MSC v.1929 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import numpy as np >>> numpy_array = np.array([1]) >>> print(numpy_array[0]) 1 >>>