What Python function is used to perform element-wise mathematical operations on Numpy arrays?

The np.add() function can also be used to add a scalar value to a Numpy array. For example, if you have a Numpy array arr1 and you want to add the number 5 to each element of the array, you can use np.add(arr1, 5) like this:

“`

arr1 = np.array([1, 2, 3])
np.add(arr1, 5)
array([6, 7, 8])
“`

The np.add() function is a very versatile function that can be used to perform a variety of element-wise mathematical operations on Numpy arrays.

The other options are not correct because they are not used to perform element-wise mathematical operations on Numpy arrays.

• describe() is a function that is used to get a summary of the statistics of a Numpy array.
• plt.plot() is a function that is used to plot a Numpy array.
• df.apply() is a function that is used to apply a function to each row of a DataFrame.