healpy.pixelfunc.mask_good¶
-
healpy.pixelfunc.
mask_good
(m, badval=None, rtol=1e-05, atol=1e-08)¶ Returns a bool array with
False
where m is close to badval.Parameters: m : a map (may be a sequence of maps)
badval : float, optional
The value of the pixel considered as bad (
UNSEEN
by default)rtol : float, optional
The relative tolerance
atol : float, optional
The absolute tolerance
Returns: a bool array with the same shape as the input map,
False
where input map isclose to badval, and
True
elsewhere.Examples
>>> import healpy as hp >>> m = np.arange(12.) >>> m[3] = hp.UNSEEN >>> hp.mask_good(m) array([ True, True, True, False, True, True, True, True, True, True, True, True], dtype=bool)