Fix ValueError

✅ Solution

ValueError in NumPy usually arises from providing a function with an argument of the correct data type but an inappropriate value. To fix it, carefully inspect the function's documentation to ensure all argument values fall within acceptable ranges or fulfill required conditions (e.g., array shapes must be compatible, data within allowed limits, or non-empty inputs when required). Adding checks with `if` statements to validate arguments before passing them to the NumPy function helps prevent the error.