Difference between numpy.round and numpy.around

Question

So, I was searching for ways to round off all the numbers in a numpy array. I found 2 similar functions, numpy.round and numpy.around. Both take seemingly same arguments for a beginner like me.

So what is the difference between these two in terms of:

• General difference
• Speed
• Accuracy
• Being used in practice

Answer 1

They are the exact same function:

def round_(a, decimals=0, out=None):
    """
    Round an array to the given number of decimals.
    Refer to `around` for full documentation.
    See Also
    --------
    around : equivalent function
    """
    return around(a, decimals=decimals, out=out)

Answer 2

The main difference is that round is a ufunc of the ndarray class, while np.around is a module-level function.

Functionally, both of them are equivalent as they do the same thing - evenly round floats to the nearest integer. ndarray.round calls around from within its source code.