Combining logic statements AND in numpy array

Question

What would be the way to select elements when two conditions are True in a matrix? In R, it is basically possible to combine vectors of booleans.

So wha

Answer 1

you could just use &, eg:

x = np.arange(10)
(x<8) & (x>2)

gives

array([False, False, False,  True,  True,  True,  True,  True, False, False], dtype=bool)

A few details:

• This works because & is shorthand for the numpy ufunc bitwise_and, which for the bool type is the same as logical_and. That is, this could also be spelled out as
  bitwise_and(less(x,8), greater(x,2))
• You need the parentheses because in numpy & has higher precedence than < and >
• and does not work because it is ambiguous for numpy arrays, so rather than guess, numpy raise the exception.