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) element-wise.

Parameters:

x1, x2 : array_like Input arrays. Ifx1.shape!=x2.shape, they must bebroadcastable to a common shape (which may be the shape of one orthe other). out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must havea shape that the inputs broadcast to. If not provided orNone,a freshly-allocated array is returned. A tuple (possible only as akeyword 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, valuesof 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 ifx1 andx2 are scalars.

See also

greater_equal,less,less_equal,equal,not_equal

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>barray([ True, False], dtype=bool)