‘numpy._dtypemeta’ object is not subscriptable

Explanation:

The error “numpy._dtypemeta’ object is not subscriptable” occurs when you try to access or index a non-indexable object in numpy. This typically happens when you mistakenly use square brackets on an object that does not support indexing, such as a numpy dtype object.

To better understand this error, let’s look at an example:

    import numpy as np
    
    arr = np.array([1, 2, 3])
    
    # Accessing an element using index - Correct
    print(arr[0])  # Output: 1
    
    dtype_obj = arr.dtype
    
    # Trying to use square brackets on dtype object - Error
    print(dtype_obj[0])  # Raises 'numpy._dtypemeta' object is not subscriptable
  

In the above example, we create a numpy array ‘arr’ and successfully access its first element using index 0. However, when we try to access an element using index on the dtype object ‘dtype_obj’, which represents the data type of ‘arr’, we get the mentioned error.

To fix this error, you need to make sure that you are accessing the elements using square brackets only on objects that support indexing. In this case, if you want to access the individual elements, you should use square brackets on the numpy array, not on the dtype object.

    import numpy as np
    
    arr = np.array([1, 2, 3])
    
    # Accessing an element using index - Correct
    print(arr[0])  # Output: 1
    
    dtype_obj = arr.dtype
    
    # Correct way to access dtype information
    print(dtype_obj)  # Output: int32
  

In the corrected example, we access the element of the numpy array ‘arr’ correctly using index 0. And to obtain the dtype information, you should simply print the dtype object without using square brackets on it.