healpy.pixelfunc.mask_good¶
- healpy.pixelfunc.mask_good(m, badval=<class 'Mock'>, 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)