capability op• 資料種類:signal → table
• 呼叫: import fullseye as fs; fs.ledger.spc_capability(signal, lsl, usl, sigma=None)(要直接呼叫實作,import spc; spc.spc_capability(signal, lsl, usl, sigma=None);從台帳取用則 opsspc.get("spc_capability"))
> 該運算子的說明尚無譯文,以下照原文給出。
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).
• 範例資料目錄(下載 URL / 授權) —— 2-D 用 skimage.data(BSD/公有領域)加合成圖,3-D 給出真實資料源(Stanford/PDS 等)的下載 URL。
• 運算子來歷與參考文獻 —— 該運算子族所依據的研究/方法出處。
• 演算法的正典(作者、年份)與用途見上面的族使用指南。
• poc_spc — py -3.11 examples/poc_spc.py
table 作為輸入)msa_anova_table · msa_gauge_rr · msa_bias_linearity · msa_attribute_agreement · gum_standard_uncertainty · gum_propagate · gum_expanded · gum_monte_carlo
capability)—
*Provenance: spc.py — SPC 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.