# How to calculate the cube of a vector using NumPy?

Hi, I want to know if Is there a dedicated function in NumPy for calculating the cube of an entire vector, similar to “np.square()” for squaring. Please provide code snippets.

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Yes, there is a method to calculate the cube of a vector. The following code example uses the `**` operator to cube each element of a vector:

In this example, a Numpy array is created using NumPy’s `np.array` method. The `**` operator is then used to raise each element of the vector to the power of 3, which effectively cubes all the elements.

I hope this helps.

Another way to find the cube of a vector is using the Numpy `np.multiply()` method. The code snippet below describes the logic.

It creates a NumPy array “Z” and raises each element of “Z” to the power of 3 using the `multiply()` function, which is equivalent to using the `** operator`. Finally, it stores the result in a new array “Z_cubed” and prints out the first five elements of this array.
Note that this method involves two calls to the multiply function and may be slower for very large vectors.