imcombiners
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Tutorials
01 Quickstart Workflow
02 Usage Patterns
03 Diagnostic Flags
04 Zero Scale
05 Rejection Methods
06 Offset Stacking
07 IRAF Compatibility
08 1-D Arrays
Performance
How To Get Maximum Performance
2-D Image Benchmarks
1-D Array Benchmarks
API
2 Kernel API
kernels.mean_1d
Function reference
1 Pipeline API
Combiner
SigClip
CcdClip
LinearClip
MinMaxClip
PClip
Rejector
SampleFlags
OutputFlags
resolve_zero_scale
2 Kernel API
kernels.mean
kernels.median
kernels.lmedian
kernels.summation
kernels.minimum
kernels.maximum
kernels.variance
kernels.weighted_average
kernels.mean_1d
kernels.median_1d
kernels.lmedian_1d
kernels.sum_1d
kernels.min_1d
kernels.max_1d
kernels.var_1d
kernels.wvg_1d
kernels.grow_mask
kernels.sigclip
kernels.sigclip_1d
kernels.sigclip_mask
kernels.sigclip_combine
kernels.sigclip_combine_1d
kernels.ccdclip
kernels.ccdclip_1d
kernels.ccdclip_mask
kernels.ccdclip_mask_1d
kernels.ccdclip_combine
kernels.ccdclip_combine_1d
kernels.linearclip
kernels.linearclip_1d
kernels.minmax
kernels.minmax_1d
kernels.minmax_mask
kernels.minmax_mask_1d
kernels.minmax_combine
kernels.minmax_combine_1d
kernels.pclip
kernels.pclip_1d
kernels.pclip_mask
kernels.pclip_mask_1d
kernels.pclip_combine
kernels.pclip_combine_1d
3 Compatibility API
ndcombine
place_into_padded
4 Parallel Controls
get_rayon_num_threads
set_rayon_num_threads
get_parallel_threshold
set_parallel_threshold
get_minmax_1d_parallel_threshold
set_minmax_1d_parallel_threshold
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kernels.mean_1d
2 Kernel API
kernels.mean_1d
kernels.mean_1d
kernels.mean_1d(values,
*
, validate
=
True
)
Return the NaN-aware mean of a 1-D value vector.