z_adhoc.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "import pandas as pd\n",
    "DF = pd.DataFrame\n",
    "\n",
    "from NelsonCheck import NelsonCheck as NC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = [random.random() for i in range(0,500)]\n",
    "data = data + [.9,.9,.8,.9,.8,.9,.8,.9,.8,.9,.8,.9,.8,.9,.8,.7]\n",
    "\n",
    "nc = NC.NelsonCheck(data=data)#, exclude_rules=[1,2,3,5,6,7,8])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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        "plotlyServerURL": "https://plot.ly"
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      "text/plain": [
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