spc_capability — SPC capability op

• 数据种类:signal → table

• 调用: import fullseye as fs; fs.ledger.spc_capability(signal, lsl, usl, sigma=None)(要直接调用实现,import spc; spc.spc_capability(signal, lsl, usl, sigma=None);从台账取用则 opsspc.get("spc_capability"))

用法

> 该算子的说明尚无译文,以下照原文给出。

Process capability indices Cp and Cpk from measurements and spec limits.

`signal is a 1-D series of individual measurements; lsl / usl` are the

lower / upper specification limits (`lsl < usl). With the sample mean mu`

and standard deviation `sigma (sample std, ddof=1`, unless one is passed

in explicitly)::

Cp = (USL - LSL) / (6 sigma)

Cpk = min(USL - mu, mu - LSL) / (3 sigma)

Returns a dict with `mean / std / cp / cpk` and the echoed spec

limits and midpoint. `Cpk <= Cp` always, with equality exactly when the

process is centred (`mu` at the spec midpoint) — pinned in the tests.

Raises `ValueError`: a non-1-D / empty *signal*, fewer than two points

(no spread to estimate), `lsl >= usl`, non-finite limits, or a non-positive

standard deviation (a constant series has no capability to report).

参考(示例数据・文献)

• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。

• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。

• 算法的正典(作者・年份)与用途见上面的族使用指南。

可运行的示例(实际调用该算子并已验证的样例)

• poc_spc — py -3.11 examples/poc_spc.py

类型可衔接的下一个算子(可接受 table 作为输入)

—

同类别(capability)

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*Provenance: spc.py — SPC 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.