healpy.pixelfunc.mask_good¶
-
healpy.pixelfunc.
mask_good
(m, badval=-1.6375e+30, 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 is
- close 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)