numpy.isposinf¶

numpy.isposinf(x,out=None,**kwargs)[source]¶

Test element-wise for positive infinity, return result as bool array.

Parameters:

x : array_like The input array. y : array_like, optional A boolean array with the same shape asx to store the result.

Returns:

out : ndarray A boolean array with the same dimensions as the input.If second argument is not supplied then a boolean array is returnedwith values True where the corresponding element of the input ispositive infinity and values False where the element of the input isnot positive infinity. If a second argument is supplied the result is stored there. If thetype of that array is a numeric type the result is represented as zerosand ones, if the type is boolean then as False and True.The return valueout is then a reference to that array.

See also

isinf,isneginf,isfinite,isnan

Notes

NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic(IEEE 754).

Errors result if the second argument is also supplied whenx is ascalar input, or if first and second arguments have different shapes.

Examples

>>>np.isposinf(np.PINF)array(True, dtype=bool)>>>np.isposinf(np.inf)array(True, dtype=bool)>>>np.isposinf(np.NINF)array(False, dtype=bool)>>>np.isposinf([-np.inf,0.,np.inf])array([False, False,  True], dtype=bool)

>>>x=np.array([-np.inf,0.,np.inf])>>>y=np.array([2,2,2])>>>np.isposinf(x,y)array([0, 0, 1])>>>yarray([0, 0, 1])