numpy.greater¶

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) elementwise.
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 freshlyallocated 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 keywordonly arguments, see the ufunc docs.
Returns:  out : ndarray or scalar
Output array, elementwise comparison of x1 and x2. Typically of type bool, unless
dtype=object
is passed. This is a scalar if both x1 and x2 are scalars.
See also
Examples
>>> np.greater([4,2],[2,2]) array([ True, False])
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])