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:
- ma map (may be a sequence of maps)
- badvalfloat, optional
The value of the pixel considered as bad (
UNSEEN
by default)- rtolfloat, optional
The relative tolerance
- atolfloat, 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.
- a bool array with the same shape as the input map,
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)