How to filter rows of a numpy array

I am looking to apply a function to each row of a numpy array. If this function evaluates to True I will keep the row, otherwise I will discard it. For example, my function might be:

def f(row):    if sum(row)>10: return True    else: return False

I was wondering if there was something similar to:

np.apply_over_axes()

which applies a function to each row of a numpy array and returns the result. I was hoping for something like:

np.filter_over_axes()

which would apply a function to each row of a numpy array and only return rows for which the function returned True. Is there anything like this? Or should I just use a for loop?