Fix ValueError

✅ Solution

ValueError in NumPy often arises from passing an argument of incorrect type or shape to a function (e.g., incompatible array dimensions or incorrect data type). Fix it by carefully inspecting the function's documentation for expected argument types and shapes, and ensure that the input data conforms to these requirements through type casting or reshaping if needed. Thoroughly test your code with various input scenarios, including edge cases like empty arrays, to catch such errors early.