healpy.pixelfunc.mask_bad¶
- healpy.pixelfunc.mask_bad(m, badval=<class 'Mock'>, rtol=1e-05, atol=1e-08)¶
Returns a bool array with True 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: mask :
a bool array with the same shape as the input map, True where input map is close to badval, and False elsewhere.
Examples
>>> import healpy as hp >>> import numpy as np >>> m = np.arange(12.) >>> m[3] = hp.UNSEEN >>> hp.mask_bad(m) array([False, False, False, True, False, False, False, False, False, False, False, False], dtype=bool)