sigclip_combine_1d
sigclip_combine_1d(
values,
*,
mask=None,
combine,
sigma=(3.0, 3.0),
maxiters=5,
ddof=0,
nkeep=0,
maxrej=None,
cenfunc='median',
clip_cen=None,
stdfunc='std',
revert_on_nkeep=False,
validate=True,
)Return a 1-D sigma-clipped mean or median.
Parameters
values : (ndarray, shape(N))-
One sample vector.
mask : ndarray or None = None-
Same shape as the input;
Trueexcludes a sample. DefaultNone. sigma : float or (float, float) = (3.0, 3.0)-
Finite, nonnegative lower and upper multipliers; default
(3.0, 3.0). Samples exactly on a threshold survive. maxiters : int = 5-
Maximum attempted passes; default
5.0applies initial exclusions only. ddof : int = 0-
Divide squared deviations by
n - ddof; default0. Ignored for MAD. Undefined statistics stop the current pass without changing the mask. nkeep : int = 0-
Rollback minimum, active only with
revert_on_nkeep=True; default0. This is not a final minimum-count requirement. maxrej : int or None = None-
Roll back a pass if total exclusions exceed this count. Counts input masks and nonfinite samples as well as clipping; default
None(unlimited). cenfunc : str = 'median'-
Rejection center:
"median"(default),"lmedian", or"mean". clip_cen : str or None = None-
Dispersion center:
"mean","median","lmedian", or"cenfunc"to use the computed rejection center directly.Nonefollowscenfunc’s estimator, preserving its arithmetic; defaultNone. stdfunc : str = 'std'-
"std"(default) or"mad"(median absolute deviation times 1.4826). revert_on_nkeep : bool = False-
Enable whole-pass survivor rollback; default
False. Earlier accepted rejections and initial exclusions remain after rollback. combine : str-
Required statistic:
"mean","average","avg","median", or"med". validate : bool = True-
Validate/promote arrays; default
True. WithFalse, supply a 1-D float32/float64 vector.
Returns
value : float-
Clipped mean or median; NaN if none survive.
Notes
NaN, infinities, and input masks are excluded before clipping. Inputs are never modified. Accepted rejections accumulate. Empty/all-excluded inputs have all-excluded masks, NaN extrema/spread, and NaN fused reductions.
With validate=True, float32 and float64 are preserved; uint8, uint16, and int16 use float32, and int32 uses float64. Other dtypes are rejected. Noncontiguous input is copied only when needed. Centers and MAD round to the input dtype before threshold comparisons. Squared residuals and limits can overflow or underflow.