numpy.greater — NumPy v1.13 Manual (original) (raw)

numpy. greater(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, _subok=True_[, signature, _extobj_]) = <ufunc 'greater'>¶

Return the truth value of (x1 > x2) element-wise.

Parameters:	x1, x2 : array_like Input arrays. If x1.shape != x2.shape, they must be broadcastable to a common shape (which may be the shape of one or the other). out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs. where : array_like, optional Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone. **kwargs For other keyword-only arguments, see theufunc docs.
Returns:	out : bool or ndarray of bool Array of bools, or a single bool if x1 and x2 are scalars.

Parameters:

x1, x2 : array_like Input arrays. If x1.shape != x2.shape, they must be broadcastable to a common shape (which may be the shape of one or the other). out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs. where : array_like, optional Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone. **kwargs For other keyword-only arguments, see theufunc docs.

Returns:

out : bool or ndarray of bool Array of bools, or a single bool if x1 and x2 are scalars.

Examples

np.greater([4,2],[2,2]) array([ True, False], dtype=bool)

If the inputs are ndarrays, then np.greater is equivalent to ‘>’.

a = np.array([4,2]) b = np.array([2,2]) a > b array([ True, False], dtype=bool)