{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ffd6f22b",
   "metadata": {},
   "source": [
    "# Calculating median and quantiles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "79fa4319-28ee-4c43-8b59-d56c16fea592",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import core as core\n",
    "from iosacal import R"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea4b9d86-5f26-4e58-a94b-362d1e3db57b",
   "metadata": {},
   "source": [
    "This notebook demonstrates how to compute a calibrated median and 68 or 95% confidence interval from a radiocarbon datum.[^download]\n",
    "[^download]: This notebook can be downloaded as {nb-download}`quantiles_demo.ipynb`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "afa25524-97aa-4c88-a4f7-18887c81d535",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " Median = 1969.0 \n",
      " 1σ = [1611.0, 2330.0] \n",
      " 2σ = [1355.0, 2710.0] \n",
      "\n",
      " Median = 3171.0 \n",
      " 1σ = [2854.0, 3453.0] \n",
      " 2σ = [2494.0, 3834.0] \n",
      "\n",
      " Median = 5155.0 \n",
      " 1σ = [5052.0, 5287.0] \n",
      " 2σ = [4976.0, 5312.0] \n",
      "\n",
      " Median = 7395.0 \n",
      " 1σ = [7324.0, 7474.0] \n",
      " 2σ = [7273.0, 7562.0] \n"
     ]
    }
   ],
   "source": [
    "#example radiocarbon\n",
    "c14_ages = [2000, 3000, 4500, 6500]\n",
    "c14_1σ = [300, 260, 50, 70]\n",
    "\n",
    "for age, oneσ in zip(c14_ages, c14_1σ):\n",
    "\n",
    "\n",
    "    cr = R(age, oneσ, 'test')\n",
    "    cal = cr.calibrate('intcal20')\n",
    "\n",
    "    quants = cal.quantiles()\n",
    "\n",
    "    print(f'\\n Median = {quants[50]} \\n 1σ = {quants[68]} \\n 2σ = {quants[95]} ')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c85d3b2d-ab3e-4078-b6e8-292afd9d87c8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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