{ "cells": [ { "cell_type": "markdown", "id": "7e6c5ce1", "metadata": {}, "source": "# Quickstart\n\nThis walks the whole flow on a small dataset: load a table, attach the spec\nlimits, run an analysis, read the result. Every cell runs, so open it in Colab\nand change the numbers to your own.\n\n
" }, { "cell_type": "markdown", "id": "fb1e2a9b", "metadata": {}, "source": [ "Install it first (skip this if mfgQC is already in your environment):" ] }, { "cell_type": "code", "execution_count": null, "id": "cb81a900", "metadata": { "execution": { "iopub.execute_input": "2026-06-26T13:25:43.885634Z", "iopub.status.busy": "2026-06-26T13:25:43.885432Z", "iopub.status.idle": "2026-06-26T13:25:44.776590Z", "shell.execute_reply": "2026-06-26T13:25:44.775740Z" }, "tags": [ "skip-execution" ] }, "outputs": [], "source": [ "!pip install mfgqc" ] }, { "cell_type": "markdown", "id": "86c80c5c", "metadata": {}, "source": [ "## 1. Load a table and attach the spec\n", "\n", "mfgQC analyses take a `QCData` object. You build one by loading a tidy\n", "DataFrame, naming the measurement column, and attaching the engineering\n", "tolerances. Here is a made-up run of 100 widths in 20 subgroups of 5." ] }, { "cell_type": "code", "execution_count": 2, "id": "58ba973f", "metadata": { "execution": { "iopub.execute_input": "2026-06-26T13:25:44.779229Z", "iopub.status.busy": "2026-06-26T13:25:44.779045Z", "iopub.status.idle": "2026-06-26T13:25:45.619252Z", "shell.execute_reply": "2026-06-26T13:25:45.618866Z" } }, "outputs": [ { "data": { "text/plain": [ "QCData(measure='width', n=100, roles={subgroup}, spec(lower=1.0, upper=2.0, target=1.5), history=2 steps)" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import numpy as np, pandas as pd, mfgqc\n", "\n", "rng = np.random.default_rng(7)\n", "df = pd.DataFrame({\n", " \"width\": np.round(rng.normal(1.50, 0.11, 100), 3),\n", " \"lot\": np.repeat(np.arange(1, 21), 5),\n", "})\n", "\n", "qc = (mfgqc.load(df, measure=\"width\", subgroup=\"lot\", subgroup_size=5)\n", " .spec(lower=1.0, upper=2.0, target=1.5))\n", "qc" ] }, { "cell_type": "markdown", "id": "9b4a052a", "metadata": {}, "source": [ "`measure` is the value column, `subgroup` groups the rows into rational\n", "subgroups, and `.spec(...)` attaches the limits. Everything is immutable, so\n", "each call hands back a new object." ] }, { "cell_type": "markdown", "id": "7cc1dfce", "metadata": {}, "source": [ "## 2. Capability\n", "\n", "Run it and print the report." ] }, { "cell_type": "code", "execution_count": 3, "id": "c669b9c5", "metadata": { "execution": { "iopub.execute_input": "2026-06-26T13:25:45.620354Z", "iopub.status.busy": "2026-06-26T13:25:45.620272Z", "iopub.status.idle": "2026-06-26T13:25:45.630130Z", "shell.execute_reply": "2026-06-26T13:25:45.629773Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Process Capability (method=normal)\n", "==================================\n", "n = 100 mean = 1.4809\n", "sigma (within) = 0.1013\n", "sigma (overall) = 0.096767\n", "Cp/Cpk sigma = within (R-bar/d2)\n", "\n", "Cp = 1.645 95% CI (1.42, 1.87)\n", "Cpk = 1.583 95% CI (1.35, 1.81) (Cpu=1.708, Cpl=1.583)\n", "Pp = 1.722 Ppk = 1.657 (Ppu=1.788, Ppl=1.657)\n", "Cpm = 1.69\n", "\n", "Assumption checks:\n", " [PASS] normality (Anderson-Darling): AD=0.305, p=0.563; est. Cpk impact 4.9%; n=100\n", " [FAIL] subgroup_sufficiency (subgroup count >= 25): subgroup count 20; n=20\n", "\n", "Recommendations:\n", " - Only 20 subgroups; >=25 recommended for a stable within-sigma estimate.\n" ] } ], "source": [ "print(qc.capability())" ] }, { "cell_type": "markdown", "id": "d58110ba", "metadata": {}, "source": [ "Three things to notice. Both sigma families are reported: within-subgroup\n", "(Cp, Cpk) and overall (Pp, Ppk), with the estimator named. Confidence\n", "intervals are shown because small-sample point estimates run optimistic. And\n", "the assumptions are checked and printed. Here normality passes but the\n", "subgroup count is flagged as low. mfgQC tells you and recommends a fix. It does\n", "not quietly change the math.\n", "\n", "Every result also draws its own chart." ] }, { "cell_type": "code", "execution_count": 4, "id": "5ef4210e", "metadata": { "execution": { "iopub.execute_input": "2026-06-26T13:25:45.631071Z", "iopub.status.busy": "2026-06-26T13:25:45.631023Z", "iopub.status.idle": "2026-06-26T13:25:45.883121Z", "shell.execute_reply": "2026-06-26T13:25:45.882770Z" } }, "outputs": [ { "data": { "image/png": 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", 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