pyei/examples/model_eval_and_comparison_demo.ipynb

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    "# Model exploration, checking, and comparison\n",
    "\n",
    "An important goal of creating PyEI was to facilitate the exploration, evaluation, and comparison of models for ecological inference. We wanted to make it easier to perform the kinds of checks that are typically part of a Bayesian workflow, such as prior predictive checks, posterior predictive checks, diagnostics checks for the samples, etc. This notebooks is a work in progress, meant to demonstrate some ways to use pyei to better understand the underlying models. We briefly show examples of:\n",
    "\n",
    "- loading example data\n",
    "- setting up the model\n",
    "- sampling from and inspecting the prior predictive distribution\n",
    "- fitting the model and generating posterior samples\n",
    "- Using Arviz to inspect traceplots, report convergence diagnostics like effective sample size and rhat, and compare prior and posterior distributions\n",
    "\n",
    "Much of this functionality comes from 1) PyEI's reliance of pymc3 and 2) using ArviZ for exploratory analysis. The documentation for these libraries are a helpful resource."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pymc as pm\n",
    "from matplotlib import pyplot as plt\n",
    "from pyei.two_by_two import TwoByTwoEI\n",
    "from pyei.goodmans_er import GoodmansER, GoodmansERBayes\n",
    "from pyei.data import Datasets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load some example data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load example data\n",
    "data = Datasets.Santa_Clara.to_dataframe()\n",
    "X = np.array(data[\"pct_e_asian_vote\"])\n",
    "T = np.array(data[\"pct_for_hardy2\"])\n",
    "N = np.array(data[\"total2\"])\n",
    "demographic_group_name = \"e_asian\"\n",
    "candidate_name=\"Hardy\"\n",
    "precinct_names = data['precinct']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set up the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "ei = TwoByTwoEI(model_name=\"king99_pareto_modification\", pareto_scale=8, pareto_shape=2)\n",
    "\n",
    "# NOTE: the fit function is the easiest way to set the model (ei.sim_model), which we need for the prior predictive\n",
    "# But, we of course don't use the draws from the posterior in the prior predictive checks!\n",
    "# Note that the prior predictive draws of votes_count *DO* depend on precinct_pops and demographic_group_fractions\n",
    "ei.fit(X, T, N, demographic_group_name=demographic_group_name, candidate_name=candidate_name, precinct_names=precinct_names, draw_samples=False)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Sample from the prior predictive distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Sample from the prior predictive distributions\n",
    "with ei.sim_model as sim_model:\n",
    "    idata = pm.sample_prior_predictive(10000) # creates an InferenceData object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Examine the prior predictive distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['phi_1', 'kappa_1', 'phi_2', 'kappa_2', 'b_1', 'b_2', 'votes_count']"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# A list of the named random variables in the model (so that we know what we can examine)\n",
    "pm.util.get_default_varnames(ei.sim_model.named_vars, include_transformed=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
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       "    arviz_version:              0.12.0\n",
       "    inference_library:          pymc\n",
       "    inference_library_version:  4.0.0b5</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6b09e9aa-6d1a-4e63-b6a3-377f32315638' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6b09e9aa-6d1a-4e63-b6a3-377f32315638' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 1</li><li><span class='xr-has-index'>draw</span>: 10000</li><li><span class='xr-has-index'>b_1_dim_0</span>: 42</li><li><span class='xr-has-index'>b_2_dim_0</span>: 42</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f385c818-d22b-41f5-a138-af8ce6ce33db' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f385c818-d22b-41f5-a138-af8ce6ce33db' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-be9a12d3-b869-4077-9014-b9bb29cff887' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-be9a12d3-b869-4077-9014-b9bb29cff887' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc5d1d86-d232-416f-897a-9a81a135d8b7' class='xr-var-data-in' type='checkbox'><label for='data-dc5d1d86-d232-416f-897a-9a81a135d8b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 9996 9997 9998 9999</div><input id='attrs-5c4a451f-a06f-4b4d-84f5-fa6a14e873bd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c4a451f-a06f-4b4d-84f5-fa6a14e873bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcb52afa-378f-48d4-8d74-22643cfdd771' class='xr-var-data-in' type='checkbox'><label for='data-dcb52afa-378f-48d4-8d74-22643cfdd771' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 9997, 9998, 9999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>b_1_dim_0</span></div><div class='xr-var-dims'>(b_1_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 36 37 38 39 40 41</div><input id='attrs-4b8b235c-f3e7-4ade-9c25-3514aefc6a2f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4b8b235c-f3e7-4ade-9c25-3514aefc6a2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c5f8ac8-30a5-4bb9-8aaa-a936b3a90e7c' class='xr-var-data-in' type='checkbox'><label for='data-5c5f8ac8-30a5-4bb9-8aaa-a936b3a90e7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>b_2_dim_0</span></div><div class='xr-var-dims'>(b_2_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 36 37 38 39 40 41</div><input id='attrs-046a8d91-dca0-454e-a882-c3928a1a9e77' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-046a8d91-dca0-454e-a882-c3928a1a9e77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1491108b-9274-49c9-9d21-9350584e5f8a' class='xr-var-data-in' type='checkbox'><label for='data-1491108b-9274-49c9-9d21-9350584e5f8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cd0c88b9-dfd7-4b38-ae69-7340d1916c02' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cd0c88b9-dfd7-4b38-ae69-7340d1916c02' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>b_1</span></div><div class='xr-var-dims'>(chain, draw, b_1_dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5242 0.5167 ... 0.8061 0.775</div><input id='attrs-189d2aa3-7d0d-4e20-96d5-fe6c26c6ac09' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-189d2aa3-7d0d-4e20-96d5-fe6c26c6ac09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3137686-ff14-41e0-9e74-32820228b57d' class='xr-var-data-in' type='checkbox'><label for='data-d3137686-ff14-41e0-9e74-32820228b57d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0.52421207, 0.51665723, 0.60231425, ..., 0.67552805,\n",
       "         0.6386846 , 0.5210061 ],\n",
       "        [0.84258011, 0.69288459, 0.91004383, ..., 0.95941262,\n",
       "         0.87592021, 0.87977207],\n",
       "        [0.17850404, 0.1293847 , 0.11489937, ..., 0.06600144,\n",
       "         0.15012137, 0.13246339],\n",
       "        ...,\n",
       "        [0.50717484, 0.68422665, 0.55695489, ..., 0.43861759,\n",
       "         0.74769873, 0.7183736 ],\n",
       "        [0.83485567, 0.53124131, 0.55398479, ..., 0.44370171,\n",
       "         0.79892509, 0.63508941],\n",
       "        [0.86084573, 0.83393921, 0.83024589, ..., 0.86982745,\n",
       "         0.80606398, 0.77499272]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kappa_2</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.31 9.577 29.78 ... 13.13 8.345</div><input id='attrs-5d72537b-2c24-4814-8c6e-4221820c54c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5d72537b-2c24-4814-8c6e-4221820c54c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1437ff36-8937-4f4b-bd87-c80d5530ad90' class='xr-var-data-in' type='checkbox'><label for='data-1437ff36-8937-4f4b-bd87-c80d5530ad90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[12.3122385 ,  9.57709609, 29.77627103, ...,  9.25041148,\n",
       "        13.12575067,  8.34536687]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phi_1</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6049 0.8604 ... 0.7059 0.7816</div><input id='attrs-bf39d614-e4cb-4f3b-9611-96838dace415' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bf39d614-e4cb-4f3b-9611-96838dace415' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0ebe0bf-de99-4f86-8cc9-b99fdd8a9d91' class='xr-var-data-in' type='checkbox'><label for='data-a0ebe0bf-de99-4f86-8cc9-b99fdd8a9d91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.60488687, 0.86035552, 0.13572184, ..., 0.55722773, 0.70585456,\n",
       "        0.78159088]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kappa_1</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>17.94 20.12 26.76 ... 14.36 26.4</div><input id='attrs-026b2321-cb80-4388-852d-74e410f67299' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-026b2321-cb80-4388-852d-74e410f67299' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67d88301-89bc-495a-9e93-462ba88b06e0' class='xr-var-data-in' type='checkbox'><label for='data-67d88301-89bc-495a-9e93-462ba88b06e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[17.93857818, 20.12297806, 26.76200054, ..., 11.51505786,\n",
       "        14.36198676, 26.40137556]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_2</span></div><div class='xr-var-dims'>(chain, draw, b_2_dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.06061 0.2211 ... 0.2851 0.3758</div><input id='attrs-b0a6e43f-94fd-48fc-b348-f8f3d6e78346' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b0a6e43f-94fd-48fc-b348-f8f3d6e78346' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55a17d63-b201-4001-a4e0-1db6a9e263ad' class='xr-var-data-in' type='checkbox'><label for='data-55a17d63-b201-4001-a4e0-1db6a9e263ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0.06060789, 0.22114189, 0.15061701, ..., 0.13991915,\n",
       "         0.36708148, 0.37304628],\n",
       "        [0.3167439 , 0.18548319, 0.14977814, ..., 0.33353961,\n",
       "         0.09543151, 0.1866319 ],\n",
       "        [0.4620365 , 0.44247084, 0.19401814, ..., 0.17754756,\n",
       "         0.33796838, 0.28149322],\n",
       "        ...,\n",
       "        [0.65187249, 0.38210699, 0.48540608, ..., 0.41413715,\n",
       "         0.60596296, 0.60890954],\n",
       "        [0.31254983, 0.53347732, 0.51048694, ..., 0.39339889,\n",
       "         0.5589443 , 0.57325233],\n",
       "        [0.39729456, 0.6511723 , 0.27798106, ..., 0.38213057,\n",
       "         0.2851067 , 0.37584415]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phi_2</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2237 0.1835 ... 0.5697 0.4033</div><input id='attrs-67e6cae8-6ad0-4961-8343-66eada2d7447' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-67e6cae8-6ad0-4961-8343-66eada2d7447' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4adad52-891e-4d95-a7ce-771fec0f6f4c' class='xr-var-data-in' type='checkbox'><label for='data-b4adad52-891e-4d95-a7ce-771fec0f6f4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.22371642, 0.18350998, 0.27848818, ..., 0.51751301, 0.56972899,\n",
       "        0.40333849]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2fb2fcde-4301-4676-a409-2ea964c1d5e0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2fb2fcde-4301-4676-a409-2ea964c1d5e0' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2022-04-25T19:32:45.715545</dd><dt><span>arviz_version :</span></dt><dd>0.12.0</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>4.0.0b5</dd></dl></div></li></ul></div></div><br></div>\n",
       "                      </ul>\n",
       "                  </div>\n",
       "            </li>\n",
       "            \n",
       "            <li class = \"xr-section-item\">\n",
       "                  <input id=\"idata_prior_predictive557dda91-2c5d-4b8a-a039-39ee5d284f15\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
       "                  <label for=\"idata_prior_predictive557dda91-2c5d-4b8a-a039-39ee5d284f15\" class = \"xr-section-summary\">prior_predictive</label>\n",
       "                  <div class=\"xr-section-inline-details\"></div>\n",
       "                  <div class=\"xr-section-details\">\n",
       "                      <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
       "                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
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       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
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       "\n",
       "html[theme=dark],\n",
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       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
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       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
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       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
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       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
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       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
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       "\n",
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       "\n",
       ".xr-sections {\n",
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       ".xr-section-item {\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-dim-list li {\n",
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       ".xr-var-data-in:checked ~ .xr-var-data {\n",
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       "\n",
       ".xr-var-data > table {\n",
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       "\n",
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       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
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       "\n",
       "dl.xr-attrs {\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
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       "\n",
       ".xr-attrs dt:hover span {\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
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       ".xr-icon-file-text2 {\n",
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       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:            (chain: 1, draw: 10000, votes_count_dim_0: 42)\n",
       "Coordinates:\n",
       "  * chain              (chain) int64 0\n",
       "  * draw               (draw) int64 0 1 2 3 4 5 ... 9995 9996 9997 9998 9999\n",
       "  * votes_count_dim_0  (votes_count_dim_0) int64 0 1 2 3 4 5 ... 37 38 39 40 41\n",
       "Data variables:\n",
       "    votes_count        (chain, draw, votes_count_dim_0) int64 36 93 ... 153 151\n",
       "Attributes:\n",
       "    created_at:                 2022-04-25T19:32:45.719592\n",
       "    arviz_version:              0.12.0\n",
       "    inference_library:          pymc\n",
       "    inference_library_version:  4.0.0b5</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a1d9aa77-387f-4205-93f2-1264ddf53798' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a1d9aa77-387f-4205-93f2-1264ddf53798' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 1</li><li><span class='xr-has-index'>draw</span>: 10000</li><li><span class='xr-has-index'>votes_count_dim_0</span>: 42</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2c3a019c-e464-42c8-ac55-30400f130a51' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2c3a019c-e464-42c8-ac55-30400f130a51' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-fb206c4f-e60b-4dd2-bba1-092c4ffda714' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fb206c4f-e60b-4dd2-bba1-092c4ffda714' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-964b2d49-6126-41ab-a555-be546ddae013' class='xr-var-data-in' type='checkbox'><label for='data-964b2d49-6126-41ab-a555-be546ddae013' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 9996 9997 9998 9999</div><input id='attrs-cda1328b-ba85-43e0-bcde-4c407a5de045' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cda1328b-ba85-43e0-bcde-4c407a5de045' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe9c4f8e-98dc-4c28-ad2b-3b0482cb9c1f' class='xr-var-data-in' type='checkbox'><label for='data-fe9c4f8e-98dc-4c28-ad2b-3b0482cb9c1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 9997, 9998, 9999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>votes_count_dim_0</span></div><div class='xr-var-dims'>(votes_count_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 36 37 38 39 40 41</div><input id='attrs-7d7ed127-3bc0-4c57-9427-b7545320ddca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7d7ed127-3bc0-4c57-9427-b7545320ddca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5263b93-cef2-4c05-83e7-5bf238cc1a6b' class='xr-var-data-in' type='checkbox'><label for='data-a5263b93-cef2-4c05-83e7-5bf238cc1a6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4972fe05-0b5d-49c5-8580-d0b692e6fd1e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4972fe05-0b5d-49c5-8580-d0b692e6fd1e' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>votes_count</span></div><div class='xr-var-dims'>(chain, draw, votes_count_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>36 93 106 151 ... 231 156 153 151</div><input id='attrs-9819199c-3497-4033-920b-1385774a50d9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9819199c-3497-4033-920b-1385774a50d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f43bb4e-41c3-4b9e-a1a6-4a8b3fa8f7f1' class='xr-var-data-in' type='checkbox'><label for='data-7f43bb4e-41c3-4b9e-a1a6-4a8b3fa8f7f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[ 36,  93, 106, ...,  89, 174, 142],\n",
       "        [243, 106, 116, ..., 178,  76,  90],\n",
       "        [295, 147,  96, ...,  50, 135,  92],\n",
       "        ...,\n",
       "        [427, 160, 280, ..., 144, 266, 208],\n",
       "        [235, 207, 250, ..., 130, 245, 189],\n",
       "        [278, 270, 164, ..., 156, 153, 151]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-107fd2c5-4540-409b-b49b-16ff676d1f99' class='xr-section-summary-in' type='checkbox'  checked><label for='section-107fd2c5-4540-409b-b49b-16ff676d1f99' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2022-04-25T19:32:45.719592</dd><dt><span>arviz_version :</span></dt><dd>0.12.0</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>4.0.0b5</dd></dl></div></li></ul></div></div><br></div>\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       ".xr-section-summary-in:checked + label > span {\n",
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       "\n",
       ".xr-section-summary,\n",
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       "  padding-bottom: 4px;\n",
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       "\n",
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       "\n",
       ".xr-section-details {\n",
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       "  margin-bottom: 5px;\n",
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       "\n",
       ".xr-dim-list li {\n",
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       "  display: none;\n",
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       "\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
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       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
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       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
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       ".xr-icon-database,\n",
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       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:            (votes_count_dim_0: 42)\n",
       "Coordinates:\n",
       "  * votes_count_dim_0  (votes_count_dim_0) int64 0 1 2 3 4 5 ... 37 38 39 40 41\n",
       "Data variables:\n",
       "    votes_count        (votes_count_dim_0) int64 161 125 137 147 ... 100 138 119\n",
       "Attributes:\n",
       "    created_at:                 2022-04-25T19:32:45.720674\n",
       "    arviz_version:              0.12.0\n",
       "    inference_library:          pymc\n",
       "    inference_library_version:  4.0.0b5</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-19199d03-1acc-4133-8f7e-6007de70d8d4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-19199d03-1acc-4133-8f7e-6007de70d8d4' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>votes_count_dim_0</span>: 42</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-575a1173-dd79-4018-9706-08e361a60b0e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-575a1173-dd79-4018-9706-08e361a60b0e' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>votes_count_dim_0</span></div><div class='xr-var-dims'>(votes_count_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 36 37 38 39 40 41</div><input id='attrs-a6bd2dc6-6001-478f-b9ed-97928d2bc320' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a6bd2dc6-6001-478f-b9ed-97928d2bc320' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b99fd0bb-b8da-492f-9ac7-bea2ce11a497' class='xr-var-data-in' type='checkbox'><label for='data-b99fd0bb-b8da-492f-9ac7-bea2ce11a497' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9bc2e23b-923e-4c9e-a55d-3a37e2fd5315' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9bc2e23b-923e-4c9e-a55d-3a37e2fd5315' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>votes_count</span></div><div class='xr-var-dims'>(votes_count_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>161 125 137 147 ... 141 100 138 119</div><input id='attrs-3bf26ec0-82bb-43b7-91fe-39830386b81e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3bf26ec0-82bb-43b7-91fe-39830386b81e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ea35b7d-5b96-4b12-a293-d677bc2e56cc' class='xr-var-data-in' type='checkbox'><label for='data-6ea35b7d-5b96-4b12-a293-d677bc2e56cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([161, 125, 137, 147, 101, 122, 132, 155, 169, 144, 236, 198, 151,\n",
       "       191, 168, 133, 128, 144, 196, 143, 193, 117, 159, 143, 194, 134,\n",
       "       102, 163, 164, 134, 193, 124, 192, 190, 170, 155, 130, 130, 141,\n",
       "       100, 138, 119])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f1e67d0c-b515-4ab2-8f96-3f4601a60768' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f1e67d0c-b515-4ab2-8f96-3f4601a60768' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2022-04-25T19:32:45.720674</dd><dt><span>arviz_version :</span></dt><dd>0.12.0</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>4.0.0b5</dd></dl></div></li></ul></div></div><br></div>\n",
       "                      </ul>\n",
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       "            \n",
       "              </ul>\n",
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       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt, dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       ".xr-wrap{width:700px!important;} </style>"
      ],
      "text/plain": [
       "Inference data with groups:\n",
       "\t> prior\n",
       "\t> prior_predictive\n",
       "\t> observed_data"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 10000, 42)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idata['prior_predictive']['votes_count'].values.shape # number of prior predictive draws x num_precincts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([1131.,  999.,  971.,  927.,  956.,  972.,  979.,  948.,  993.,\n",
       "        1124.]),\n",
       " array([  0. ,  65.8, 131.6, 197.4, 263.2, 329. , 394.8, 460.6, 526.4,\n",
       "        592.2, 658. ]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Z6B2g/Vf9S8AtTH/fNwHvSPIkg2XKNyf5ONPfN1X1TNueBj7DYMlj6vtuvcy3/wkC3MvgTWAWel+SizH0Z/WnHo4Au9v+buC+ofquJJcl2QxsAR5cgf5IEgZrncer6oNDd01170nWJrmy7b8ceAvwdaa876raV1UbqmoTg9fxF6rqXUx530kuT/LKn+4DvwE8ypT3DVBV3wKeTvLaVtoBPMYM9L5kK/2X5JfiBryNwSdLvgG8b6X7WaS/TwKngB8zuFK4A/hZ4CjweNteNTT+fe25nADeuoJ9/zqD/7r+O/BIu71t2nsHfgl4uPX9KPCnrT7VfZ/1HN7E/396Z6r7ZrAu/tV2O/bTf4PT3vdQL68H5trr5e+BNbPS+1Ju/gyDJHXkYlzekSSdg6EvSR0x9CWpI4a+JHXE0Jekjhj6ktQRQ1+SOvK/OZ92lnNfXLYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot a histogram of the prior predictive draws of the count of votes in the 0'th county\n",
    "plt.hist(idata['prior_predictive']['votes_count'].values[0,:,0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([1360.,  956.,  925.,  950.,  893.,  851.,  923.,  929.,  908.,\n",
       "        1305.]),\n",
       " array([0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1. ]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(idata['prior']['b_1'][0,:,0]) #0th chain, 0th precinct"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([1333.,  925.,  933.,  901.,  893.,  919.,  955.,  916.,  886.,\n",
       "        1339.]),\n",
       " array([1.89857114e-138, 1.00000000e-001, 2.00000000e-001, 3.00000000e-001,\n",
       "        4.00000000e-001, 5.00000000e-001, 6.00000000e-001, 7.00000000e-001,\n",
       "        8.00000000e-001, 9.00000000e-001, 1.00000000e+000]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(idata['prior']['b_2'][0,:,0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([1037., 1068.,  958., 1014.,  980.,  986.,  978.,  987., 1014.,\n",
       "         978.]),\n",
       " array([5.99275700e-05, 1.00045570e-01, 2.00031212e-01, 3.00016854e-01,\n",
       "        4.00002496e-01, 4.99988139e-01, 5.99973781e-01, 6.99959423e-01,\n",
       "        7.99945065e-01, 8.99930707e-01, 9.99916350e-01]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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g1upd8J5Ncgx4KfDgZKY4cWNv14VweWeQWzscAt7W/ST8KuBbVXVy0hMdk/OuN8mLgLuBt67gs75+511zVW2uqk1VtQm4C/j1FRx8GOzf9T3AzyRZneS59O5Ye3TC8xynQdZ8nN7/2ZDkcuAlwFcmOsvJGnu7VvyZfp3j1g5JfrV7/wP0fpvjOmAW+G96Zwsr0oDr/V3gh4HbujPf07WC71A44JovKIOsuaqOJvkE8EXg+8DtVbXgr/6tBAP+Pf8ecEeSL9G79PGuqlqxt1xOcifwemBtkjngFuBZsHTt8jYMktSQC+HyjiRpQEZfkhpi9CWpIUZfkhpi9CWpIUZfkhpi9CWpIf8LGYQco6qfFAIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(idata['prior']['phi_1'][0,:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([1007.,  962., 1025., 1001., 1044.,  985., 1001.,  965.,  987.,\n",
       "        1023.]),\n",
       " array([8.33260684e-07, 1.00000749e-01, 2.00000665e-01, 3.00000580e-01,\n",
       "        4.00000496e-01, 5.00000412e-01, 6.00000328e-01, 7.00000243e-01,\n",
       "        8.00000159e-01, 9.00000075e-01, 9.99999990e-01]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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B26q34D2b5BjwSuCByZQ4cWPProtheWeQWzscBN7VvRJ+DfDNqjox6ULH5ILzTXIlcBfwzhV81dfvgnOuqs1VtamqNgF3Ar++ggMfBvu5vhv4mSSrk7yQ3h1rj0y4znEaZM7H6f1mQ5IrgFcAX5tolZM19uxa8Vf6dY5bOyT51e74R+m9m+N6YBb4X3pXCyvSgPP9PeCHgdu7K99TtYLvUDjgnC8qg8y5qo4k+TzwCPA94I6qWvCtfyvBgN/n3wc+keRReksf76uqFXvL5SSfAd4MrE0yB9wKPA+WLru8DYMkNeRiWN6RJA3I0Jekhhj6ktQQQ1+SGmLoS1JDDH1JaoihL0kN+T+FCQMfnN3NSgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can weight by population and obtain district-level voting preferences \n",
    "# from the prior predictive samples, if desired\n",
    "\n",
    "samples_converted_to_pops_gp1 = (\n",
    "    idata[\"prior\"][\"b_1\"].stack(all_draws=[\"chain\", \"draw\"]).values.T\n",
    "    * N\n",
    ")  # shape: num_samples x num_precincts\n",
    "samples_converted_to_pops_gp2 = (\n",
    "    idata[\"prior\"][\"b_2\"].stack(all_draws=[\"chain\", \"draw\"]).values.T\n",
    "    * N\n",
    ")  # shape: num_samples x num_precincts\n",
    "\n",
    "# obtain samples of total votes summed across all precinct for the candidate for each group\n",
    "samples_of_votes_summed_across_district_gp1 = samples_converted_to_pops_gp1.sum(axis=1)\n",
    "samples_of_votes_summed_across_district_gp2 = samples_converted_to_pops_gp2.sum(axis=1)\n",
    "\n",
    "# obtain samples of the districtwide proportion of each demog. group voting for candidate\n",
    "sampled_voting_prefs_gp2 = (\n",
    "    samples_of_votes_summed_across_district_gp1 / N.sum()\n",
    ")  # sampled voted prefs across precincts\n",
    "sampled_voting_prefs_gp1 = (\n",
    "    samples_of_votes_summed_across_district_gp2 / N.sum()\n",
    "        )  # sampled voted prefs across precincts\n",
    "# We can explore a histogram of these district-level voting preferences:\n",
    "plt.hist(sampled_voting_prefs_gp1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 204.,  570., 1010., 1315., 1783., 1757., 1411., 1023.,  656.,\n",
       "         271.]),\n",
       " array([-0.99175428, -0.79551757, -0.59928086, -0.40304415, -0.20680744,\n",
       "        -0.01057072,  0.18566599,  0.3819027 ,  0.57813941,  0.77437612,\n",
       "         0.97061283]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Here we consider the differences in the voting preferences between the two groups, \n",
    "# as sampled from the prior predictive\n",
    "plt.hist(sampled_voting_prefs_gp1 - sampled_voting_prefs_gp2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8069"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We can probe, e.g., what percentage of samples from the prior predictive l\n",
    "# ook polarized according to this measure\n",
    "(abs(sampled_voting_prefs_gp1 - sampled_voting_prefs_gp2) > 0.1).sum() / len(sampled_voting_prefs_gp1)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fitting the model and generating posterior samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Compiling...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/karin/miniconda/envs/pyei_4/lib/python3.10/site-packages/pymc/aesaraf.py:996: UserWarning: The parameter 'updates' of aesara.function() expects an OrderedDict, got <class 'dict'>. Using a standard dictionary here results in non-deterministic behavior. You should use an OrderedDict if you are using Python 2.7 (collections.OrderedDict for older python), or use a list of (shared, update) pairs. Do not just convert your dictionary to this type before the call as the conversion will still be non-deterministic.\n",
      "  aesara_function = aesara.function(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Compilation time =  0:00:04.346943\n",
      "Sampling...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sampling time =  0:00:24.809691\n",
      "Transforming variables...\n",
      "Transformation time =  0:00:00.176812\n"
     ]
    }
   ],
   "source": [
    "## Fitting the model\n",
    "ei.fit(X, T, N, demographic_group_name=demographic_group_name, candidate_name=candidate_name, precinct_names=precinct_names, tune=3000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Sample from the posterior predictive"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:            (chain: 4, draw: 1000, votes_count_dim_0: 42)\n",
       "Coordinates:\n",
       "  * chain              (chain) int64 0 1 2 3\n",
       "  * draw               (draw) int64 0 1 2 3 4 5 6 ... 994 995 996 997 998 999\n",
       "  * votes_count_dim_0  (votes_count_dim_0) int64 0 1 2 3 4 5 ... 37 38 39 40 41\n",
       "Data variables:\n",
       "    votes_count        (chain, draw, votes_count_dim_0) int64 157 129 ... 132 98\n",
       "Attributes:\n",
       "    created_at:                 2022-04-25T19:47:27.096251\n",
       "    arviz_version:              0.12.0\n",
       "    inference_library:          pymc\n",
       "    inference_library_version:  4.0.0b5</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b18d26cd-a71c-4bc7-876c-b698aed6a472' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b18d26cd-a71c-4bc7-876c-b698aed6a472' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 4</li><li><span class='xr-has-index'>draw</span>: 1000</li><li><span class='xr-has-index'>votes_count_dim_0</span>: 42</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6cde314d-79ad-478b-919b-1a52dbca0e34' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6cde314d-79ad-478b-919b-1a52dbca0e34' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-5ce40726-330e-4302-ab9b-0aec737105f4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5ce40726-330e-4302-ab9b-0aec737105f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1747731c-3ddf-4c22-aa67-3e96c0f224f6' class='xr-var-data-in' type='checkbox'><label for='data-1747731c-3ddf-4c22-aa67-3e96c0f224f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-6f36fbc4-c3ed-47f2-901d-7694b7760bd6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6f36fbc4-c3ed-47f2-901d-7694b7760bd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4160f02f-6928-42a7-a87f-75f1875c3d58' class='xr-var-data-in' type='checkbox'><label for='data-4160f02f-6928-42a7-a87f-75f1875c3d58' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 997, 998, 999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>votes_count_dim_0</span></div><div class='xr-var-dims'>(votes_count_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 36 37 38 39 40 41</div><input id='attrs-5cad7552-d6b5-4e9a-bd77-234d64336e2a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5cad7552-d6b5-4e9a-bd77-234d64336e2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db8625f9-ae1a-42c7-8920-91a4a0977494' class='xr-var-data-in' type='checkbox'><label for='data-db8625f9-ae1a-42c7-8920-91a4a0977494' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9745e85e-3db2-4dbd-acfa-a40bd9b9d968' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9745e85e-3db2-4dbd-acfa-a40bd9b9d968' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>votes_count</span></div><div class='xr-var-dims'>(chain, draw, votes_count_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>157 129 163 144 ... 123 111 132 98</div><input id='attrs-ce658860-0b74-4223-b2d3-779b9fc44fe7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ce658860-0b74-4223-b2d3-779b9fc44fe7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a301a341-bbc5-41d4-aa95-f36bf3313718' class='xr-var-data-in' type='checkbox'><label for='data-a301a341-bbc5-41d4-aa95-f36bf3313718' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[157, 129, 163, ..., 105, 141, 108],\n",
       "        [156, 117, 136, ..., 104, 138,  84],\n",
       "        [141, 122, 134, ..., 114, 147, 111],\n",
       "        ...,\n",
       "        [191, 130, 155, ..., 114, 128, 114],\n",
       "        [170, 120, 146, ..., 114, 139, 114],\n",
       "        [151, 110, 130, ..., 114, 145, 100]],\n",
       "\n",
       "       [[157, 118, 129, ..., 101, 139, 127],\n",
       "        [168, 153, 154, ..., 107, 140, 121],\n",
       "        [170, 129, 142, ...,  92, 125, 129],\n",
       "        ...,\n",
       "        [152, 107, 116, ..., 112, 141, 133],\n",
       "        [154, 142, 127, ...,  87, 121, 100],\n",
       "        [163, 107, 147, ..., 104, 134, 128]],\n",
       "\n",
       "       [[159, 110, 166, ..., 107, 164, 115],\n",
       "        [148, 161, 111, ..., 101, 123, 134],\n",
       "        [160, 156, 145, ..., 103, 136, 118],\n",
       "        ...,\n",
       "        [168, 105, 145, ..., 103, 155, 104],\n",
       "        [173, 111, 135, ..., 116, 133, 125],\n",
       "        [171, 120, 142, ..., 122, 134, 122]],\n",
       "\n",
       "       [[166, 161, 135, ..., 119, 126, 114],\n",
       "        [156, 127, 151, ..., 106, 124, 101],\n",
       "        [152, 116, 129, ...,  98, 126, 123],\n",
       "        ...,\n",
       "        [180, 137, 166, ...,  97, 128, 123],\n",
       "        [174, 149, 127, ..., 121, 139, 117],\n",
       "        [156, 109, 146, ..., 111, 132,  98]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8be766d9-de6b-4b05-a219-8f4cd6fe064b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8be766d9-de6b-4b05-a219-8f4cd6fe064b' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2022-04-25T19:47:27.096251</dd><dt><span>arviz_version :</span></dt><dd>0.12.0</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>4.0.0b5</dd></dl></div></li></ul></div></div><br></div>\n",
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       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:            (votes_count_dim_0: 42)\n",
       "Coordinates:\n",
       "  * votes_count_dim_0  (votes_count_dim_0) int64 0 1 2 3 4 5 ... 37 38 39 40 41\n",
       "Data variables:\n",
       "    votes_count        (votes_count_dim_0) int64 161 125 137 147 ... 100 138 119\n",
       "Attributes:\n",
       "    created_at:                 2022-04-25T19:47:27.097248\n",
       "    arviz_version:              0.12.0\n",
       "    inference_library:          pymc\n",
       "    inference_library_version:  4.0.0b5</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1dac2068-1271-47ae-b2e8-14a11590ff24' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1dac2068-1271-47ae-b2e8-14a11590ff24' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>votes_count_dim_0</span>: 42</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8ea6da19-2349-4102-9938-1ace2f2339de' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8ea6da19-2349-4102-9938-1ace2f2339de' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>votes_count_dim_0</span></div><div class='xr-var-dims'>(votes_count_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 36 37 38 39 40 41</div><input id='attrs-15ecb0eb-55c4-4295-bcac-bf9baf4ef804' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-15ecb0eb-55c4-4295-bcac-bf9baf4ef804' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fcd74c5-c608-4f45-a522-be6a95ad7187' class='xr-var-data-in' type='checkbox'><label for='data-3fcd74c5-c608-4f45-a522-be6a95ad7187' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ccdd91ee-2065-43e0-994f-0ce3e1cc5ff9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ccdd91ee-2065-43e0-994f-0ce3e1cc5ff9' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>votes_count</span></div><div class='xr-var-dims'>(votes_count_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>161 125 137 147 ... 141 100 138 119</div><input id='attrs-97afc8e0-352b-4adc-8779-a5a8ee25a786' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-97afc8e0-352b-4adc-8779-a5a8ee25a786' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b085740-0c03-4f50-934e-9be5254b1a51' class='xr-var-data-in' type='checkbox'><label for='data-0b085740-0c03-4f50-934e-9be5254b1a51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([161, 125, 137, 147, 101, 122, 132, 155, 169, 144, 236, 198, 151,\n",
       "       191, 168, 133, 128, 144, 196, 143, 193, 117, 159, 143, 194, 134,\n",
       "       102, 163, 164, 134, 193, 124, 192, 190, 170, 155, 130, 130, 141,\n",
       "       100, 138, 119])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-149a9a41-dfa2-4c13-909e-da8948ac640e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-149a9a41-dfa2-4c13-909e-da8948ac640e' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2022-04-25T19:47:27.097248</dd><dt><span>arviz_version :</span></dt><dd>0.12.0</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>4.0.0b5</dd></dl></div></li></ul></div></div><br></div>\n",
       "                      </ul>\n",
       "                  </div>\n",
       "            </li>\n",
       "            \n",
       "              </ul>\n",
       "            </div>\n",
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       ".xr-wrap{width:700px!important;} </style>"
      ],
      "text/plain": [
       "Inference data with groups:\n",
       "\t> posterior_predictive\n",
       "\t> observed_data"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with ei.sim_model as sim_model:\n",
    "    posterior_pred = pm.sample_posterior_predictive(ei.sim_trace)\n",
    "posterior_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([  5.,  18.,  50., 149., 203., 274., 179.,  80.,  34.,   8.]),\n",
       " array([114. , 123.6, 133.2, 142.8, 152.4, 162. , 171.6, 181.2, 190.8,\n",
       "        200.4, 210. ]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(posterior_pred['posterior_predictive']['votes_count'][0,:,0]) # Simulated vote counts for the 0th county"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Using arviz to explore the model:\n",
    "\n",
    "Pyei works well with arviz, a library for exploratory analysis of bayesian models.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We'll use the outputs of pyei and pymc and will create a data inference object that has prior predictive, posterior, and posterior predictive distributions all contained within it. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "# with arviz\n",
    "# data = az.from_pymc3(\n",
    "#     posterior=ei.sim_trace, #the posterior distribution\n",
    "#     prior=idata['prior_predictive'],\n",
    "#     posterior_predictive=posterior_pred['posterior_predictive'],\n",
    "#     model=ei.sim_model,\n",
    "# )\n",
    "# data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We can look at some convergence diagnostics like rhat and the effective sample size for each variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
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       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (b_1_dim_0: 42, b_2_dim_0: 42)\n",
       "Coordinates:\n",
       "  * b_1_dim_0  (b_1_dim_0) int64 0 1 2 3 4 5 6 7 8 ... 34 35 36 37 38 39 40 41\n",
       "  * b_2_dim_0  (b_2_dim_0) int64 0 1 2 3 4 5 6 7 8 ... 34 35 36 37 38 39 40 41\n",
       "Data variables:\n",
       "    phi_1      float64 91.95\n",
       "    kappa_1    float64 628.7\n",
       "    phi_2      float64 87.15\n",
       "    kappa_2    float64 902.8\n",
       "    b_1        (b_1_dim_0) float64 207.2 188.0 179.1 177.3 ... 300.1 188.4 169.7\n",
       "    b_2        (b_2_dim_0) float64 680.8 522.3 396.2 453.5 ... 341.8 453.5 493.8</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1b06ceb6-e43e-4ec2-9622-34653ae71a3e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1b06ceb6-e43e-4ec2-9622-34653ae71a3e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>b_1_dim_0</span>: 42</li><li><span class='xr-has-index'>b_2_dim_0</span>: 42</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b2884b7c-1359-44eb-a145-9f295a67b53f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b2884b7c-1359-44eb-a145-9f295a67b53f' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>b_1_dim_0</span></div><div class='xr-var-dims'>(b_1_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 36 37 38 39 40 41</div><input id='attrs-c3b91a14-6079-4ae3-be90-389783e9d965' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c3b91a14-6079-4ae3-be90-389783e9d965' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a4eb055-658c-4041-93ec-1bf0bf92a248' class='xr-var-data-in' type='checkbox'><label for='data-4a4eb055-658c-4041-93ec-1bf0bf92a248' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>b_2_dim_0</span></div><div class='xr-var-dims'>(b_2_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 36 37 38 39 40 41</div><input id='attrs-7e7f8ae6-2c77-4423-a57c-b88adfbced9a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7e7f8ae6-2c77-4423-a57c-b88adfbced9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7db881ce-68d9-471e-ace8-a4dbd5f5c93d' class='xr-var-data-in' type='checkbox'><label for='data-7db881ce-68d9-471e-ace8-a4dbd5f5c93d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6c8c1b53-cd2f-4ce4-b180-15f48c7d1cd9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6c8c1b53-cd2f-4ce4-b180-15f48c7d1cd9' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>phi_1</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>91.95</div><input id='attrs-58b62e80-a76c-4487-9739-cbfe708f62c1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-58b62e80-a76c-4487-9739-cbfe708f62c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea6ab19e-7d41-43c6-92fd-42c2564e5615' class='xr-var-data-in' type='checkbox'><label for='data-ea6ab19e-7d41-43c6-92fd-42c2564e5615' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(91.94953105)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kappa_1</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>628.7</div><input id='attrs-ae02b047-76f1-4101-bace-51fbbc149070' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ae02b047-76f1-4101-bace-51fbbc149070' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fb84f50-d785-41bb-a69a-35da36f812be' class='xr-var-data-in' type='checkbox'><label for='data-9fb84f50-d785-41bb-a69a-35da36f812be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(628.70329616)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phi_2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>87.15</div><input id='attrs-0ca1abb4-584f-4e8d-b102-8a28fdba0b36' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0ca1abb4-584f-4e8d-b102-8a28fdba0b36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5c6afa1-ad43-44ce-889f-6c499fb93fe6' class='xr-var-data-in' type='checkbox'><label for='data-e5c6afa1-ad43-44ce-889f-6c499fb93fe6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(87.14967845)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kappa_2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>902.8</div><input id='attrs-8a24f6b3-07f0-4291-ba04-772da8bb3367' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8a24f6b3-07f0-4291-ba04-772da8bb3367' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f53aa8c-1481-4b07-b257-21ccc15a7482' class='xr-var-data-in' type='checkbox'><label for='data-1f53aa8c-1481-4b07-b257-21ccc15a7482' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(902.84499787)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_1</span></div><div class='xr-var-dims'>(b_1_dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>207.2 188.0 179.1 ... 188.4 169.7</div><input id='attrs-5ec953c7-270f-4545-abab-cbb0c55336c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5ec953c7-270f-4545-abab-cbb0c55336c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78776e8e-a9e5-490c-82a4-0309759d068e' class='xr-var-data-in' type='checkbox'><label for='data-78776e8e-a9e5-490c-82a4-0309759d068e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([207.15429139, 188.00959505, 179.11673095, 177.27797244,\n",
       "       169.31398275, 180.04947514, 173.65340583, 222.47818249,\n",
       "       176.93456933, 178.86861412, 184.12486699, 199.86521405,\n",
       "       124.30945079, 139.40390117, 178.03140912, 168.11022163,\n",
       "       175.90005678, 174.8871144 , 198.70181696, 169.66247961,\n",
       "       220.31380989, 215.77407859, 201.67073448, 168.73626973,\n",
       "       198.8615471 , 233.00337172, 225.75082842, 182.25719419,\n",
       "       178.81931845, 231.01765002, 171.47743325, 226.64002352,\n",
       "       171.74778976, 215.48220679, 200.53541158, 194.2327715 ,\n",
       "       206.25739033, 234.19989904, 166.51089841, 300.12241827,\n",
       "       188.41688152, 169.69159752])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_2</span></div><div class='xr-var-dims'>(b_2_dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>680.8 522.3 396.2 ... 453.5 493.8</div><input id='attrs-1b72afc4-e142-42d3-8a12-0c35405a4678' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1b72afc4-e142-42d3-8a12-0c35405a4678' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-168d4edb-2e84-4e65-83f1-20fed636ca9b' class='xr-var-data-in' type='checkbox'><label for='data-168d4edb-2e84-4e65-83f1-20fed636ca9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([680.82486376, 522.32743195, 396.23779562, 453.5333746 ,\n",
       "       386.04966671, 380.53273695, 540.78075889, 805.53939215,\n",
       "       345.65632138, 440.02971377, 603.94665847, 536.73079809,\n",
       "       556.05846173, 162.15886266, 683.28601058, 299.74428928,\n",
       "       384.48441558, 611.73611021, 448.18894675, 559.20024994,\n",
       "       469.42617771, 770.91233003, 252.69946053, 511.96994505,\n",
       "       351.12799851, 518.43328068, 422.98334686, 444.04241833,\n",
       "       412.03828778, 755.98593645, 367.30719092, 231.11312617,\n",
       "       328.52193483, 391.89563079, 407.79851216, 554.49650223,\n",
       "       335.88529633, 282.84399389, 436.19527017, 341.84571216,\n",
       "       453.47161066, 493.78238392])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c3b8b83c-7526-456b-b0d3-5f618750fb72' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c3b8b83c-7526-456b-b0d3-5f618750fb72' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (b_1_dim_0: 42, b_2_dim_0: 42)\n",
       "Coordinates:\n",
       "  * b_1_dim_0  (b_1_dim_0) int64 0 1 2 3 4 5 6 7 8 ... 34 35 36 37 38 39 40 41\n",
       "  * b_2_dim_0  (b_2_dim_0) int64 0 1 2 3 4 5 6 7 8 ... 34 35 36 37 38 39 40 41\n",
       "Data variables:\n",
       "    phi_1      float64 91.95\n",
       "    kappa_1    float64 628.7\n",
       "    phi_2      float64 87.15\n",
       "    kappa_2    float64 902.8\n",
       "    b_1        (b_1_dim_0) float64 207.2 188.0 179.1 177.3 ... 300.1 188.4 169.7\n",
       "    b_2        (b_2_dim_0) float64 680.8 522.3 396.2 453.5 ... 341.8 453.5 493.8"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "az.ess(ei.sim_trace)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
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       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (b_1_dim_0: 42, b_2_dim_0: 42)\n",
       "Coordinates:\n",
       "  * b_1_dim_0  (b_1_dim_0) int64 0 1 2 3 4 5 6 7 8 ... 34 35 36 37 38 39 40 41\n",
       "  * b_2_dim_0  (b_2_dim_0) int64 0 1 2 3 4 5 6 7 8 ... 34 35 36 37 38 39 40 41\n",
       "Data variables:\n",
       "    phi_1      float64 1.055\n",
       "    kappa_1    float64 1.01\n",
       "    phi_2      float64 1.047\n",
       "    kappa_2    float64 1.006\n",
       "    b_1        (b_1_dim_0) float64 1.023 1.026 1.029 1.028 ... 1.021 1.026 1.028\n",
       "    b_2        (b_2_dim_0) float64 1.007 1.011 1.016 1.012 ... 1.018 1.013 1.011</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-cc10388c-552f-48b9-8c1f-c6eba17c7833' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cc10388c-552f-48b9-8c1f-c6eba17c7833' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>b_1_dim_0</span>: 42</li><li><span class='xr-has-index'>b_2_dim_0</span>: 42</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-aeb0862c-590b-4583-bf3c-4951027fbe96' class='xr-section-summary-in' type='checkbox'  checked><label for='section-aeb0862c-590b-4583-bf3c-4951027fbe96' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>b_1_dim_0</span></div><div class='xr-var-dims'>(b_1_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 36 37 38 39 40 41</div><input id='attrs-546a680b-c3bf-476e-afc1-a8aeb11a0d05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-546a680b-c3bf-476e-afc1-a8aeb11a0d05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-141d64ac-039d-44c3-965c-a08669d968d1' class='xr-var-data-in' type='checkbox'><label for='data-141d64ac-039d-44c3-965c-a08669d968d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>b_2_dim_0</span></div><div class='xr-var-dims'>(b_2_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 36 37 38 39 40 41</div><input id='attrs-374c6243-60a1-4b48-96ff-b125dbb06f3e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-374c6243-60a1-4b48-96ff-b125dbb06f3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3a350cf-5676-4e9c-bb8c-669983abc9df' class='xr-var-data-in' type='checkbox'><label for='data-d3a350cf-5676-4e9c-bb8c-669983abc9df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b7ebba7c-3672-4715-a251-d82fdd82be7a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b7ebba7c-3672-4715-a251-d82fdd82be7a' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>phi_1</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.055</div><input id='attrs-093b70b5-fe1c-412a-9d5d-cda3c1859f67' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-093b70b5-fe1c-412a-9d5d-cda3c1859f67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b90a0960-6769-4477-9133-49a962e8bda1' class='xr-var-data-in' type='checkbox'><label for='data-b90a0960-6769-4477-9133-49a962e8bda1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.05455596)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kappa_1</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.01</div><input id='attrs-d0c84873-42af-455e-ad4b-2c7b486fc3f4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d0c84873-42af-455e-ad4b-2c7b486fc3f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b7f9e29-f738-4af4-adf2-fb62a4eac632' class='xr-var-data-in' type='checkbox'><label for='data-3b7f9e29-f738-4af4-adf2-fb62a4eac632' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.00966377)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phi_2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.047</div><input id='attrs-4cbb90ba-2437-4473-b90d-bdf79604c510' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4cbb90ba-2437-4473-b90d-bdf79604c510' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c29e35d2-c948-4b00-8f6c-588b56518e09' class='xr-var-data-in' type='checkbox'><label for='data-c29e35d2-c948-4b00-8f6c-588b56518e09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.04695483)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kappa_2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.006</div><input id='attrs-1b4b0ffa-1ca9-4f2d-b3b1-80e3104f1f26' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1b4b0ffa-1ca9-4f2d-b3b1-80e3104f1f26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5443e78-b61a-4364-a9f3-e924cce0dbe3' class='xr-var-data-in' type='checkbox'><label for='data-e5443e78-b61a-4364-a9f3-e924cce0dbe3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.00622289)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_1</span></div><div class='xr-var-dims'>(b_1_dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.023 1.026 1.029 ... 1.026 1.028</div><input id='attrs-f1f0bd61-2304-4a2f-83c7-8b6f2c2bf1e8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f1f0bd61-2304-4a2f-83c7-8b6f2c2bf1e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9580943f-7e38-4965-a08c-614d91737a5b' class='xr-var-data-in' type='checkbox'><label for='data-9580943f-7e38-4965-a08c-614d91737a5b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.02302346, 1.02581128, 1.02892674, 1.02771012, 1.02870502,\n",
       "       1.02835245, 1.02447465, 1.02148608, 1.02633052, 1.02772263,\n",
       "       1.02762737, 1.02629061, 1.03244118, 1.03074512, 1.02437431,\n",
       "       1.02944157, 1.02861176, 1.02765571, 1.02562079, 1.02491489,\n",
       "       1.02385778, 1.02237488, 1.02497034, 1.02784089, 1.02733579,\n",
       "       1.021771  , 1.02704109, 1.02385939, 1.027204  , 1.01890462,\n",
       "       1.03050091, 1.02066193, 1.03013496, 1.02148572, 1.02277403,\n",
       "       1.02408701, 1.02589634, 1.02372682, 1.02863012, 1.02057226,\n",
       "       1.02556615, 1.02842526])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b_2</span></div><div class='xr-var-dims'>(b_2_dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.007 1.011 1.016 ... 1.013 1.011</div><input id='attrs-d3e4dbd1-2134-4e5e-8997-0f47066bf99a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d3e4dbd1-2134-4e5e-8997-0f47066bf99a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ba6f8a4-600e-4998-b00e-422f6208297c' class='xr-var-data-in' type='checkbox'><label for='data-7ba6f8a4-600e-4998-b00e-422f6208297c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.00738208, 1.01106283, 1.01632172, 1.01181723, 1.01508367,\n",
       "       1.01389122, 1.01046333, 1.00629095, 1.01508568, 1.01151122,\n",
       "       1.01146597, 1.00914562, 1.00985098, 1.0254844 , 1.0069703 ,\n",
       "       1.01638399, 1.01526714, 1.01015147, 1.01398475, 1.01010887,\n",
       "       1.0127873 , 1.0081527 , 1.02344982, 1.0114777 , 1.01847459,\n",
       "       1.01057814, 1.01346642, 1.01014254, 1.01239579, 1.00714832,\n",
       "       1.01301319, 1.01966673, 1.01915553, 1.01205197, 1.01146447,\n",
       "       1.01092493, 1.01591215, 1.01844608, 1.01412162, 1.01844812,\n",
       "       1.01318252, 1.01097152])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d737698f-53e9-4d3e-89f7-40d9fbd9758f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d737698f-53e9-4d3e-89f7-40d9fbd9758f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (b_1_dim_0: 42, b_2_dim_0: 42)\n",
       "Coordinates:\n",
       "  * b_1_dim_0  (b_1_dim_0) int64 0 1 2 3 4 5 6 7 8 ... 34 35 36 37 38 39 40 41\n",
       "  * b_2_dim_0  (b_2_dim_0) int64 0 1 2 3 4 5 6 7 8 ... 34 35 36 37 38 39 40 41\n",
       "Data variables:\n",
       "    phi_1      float64 1.055\n",
       "    kappa_1    float64 1.01\n",
       "    phi_2      float64 1.047\n",
       "    kappa_2    float64 1.006\n",
       "    b_1        (b_1_dim_0) float64 1.023 1.026 1.029 1.028 ... 1.021 1.026 1.028\n",
       "    b_2        (b_2_dim_0) float64 1.007 1.011 1.016 1.012 ... 1.018 1.013 1.011"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "az.rhat(ei.sim_trace)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Traceplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'phi_1'}>,\n",
       "        <AxesSubplot:title={'center':'phi_1'}>],\n",
       "       [<AxesSubplot:title={'center':'kappa_1'}>,\n",
       "        <AxesSubplot:title={'center':'kappa_1'}>],\n",
       "       [<AxesSubplot:title={'center':'phi_2'}>,\n",
       "        <AxesSubplot:title={'center':'phi_2'}>],\n",
       "       [<AxesSubplot:title={'center':'kappa_2'}>,\n",
       "        <AxesSubplot:title={'center':'kappa_2'}>],\n",
       "       [<AxesSubplot:title={'center':'b_1'}>,\n",
       "        <AxesSubplot:title={'center':'b_1'}>],\n",
       "       [<AxesSubplot:title={'center':'b_2'}>,\n",
       "        <AxesSubplot:title={'center':'b_2'}>]], dtype=object)"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "az.plot_trace(ei.sim_trace, compact=True)\n",
    "# each color here is a different chain, vertical tick marks mark divergences\n",
    "# Set compact = False to see each county on a different plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='votes_count / votes_count'>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## We can look at posterior predictive draws\n",
    "az.plot_ppc(posterior_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We can compare prior and posterior distributions of variables of interest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>]], dtype=object)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 993.6x662.4 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "az.plot_dist_comparison(data, var_names='phi_1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "#az.plot_dist_comparison(data, var_names='b_2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data.posterior['voting_prefs_gp1'] =  ei.sampled_voting_prefs[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data.posterior['voting_prefs_gp2'] =  ei.sampled_voting_prefs[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "#az.plot_dist(data.posterior['voting_prefs_gp1'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Draws from the prior predictive distribution are one source of simulated data on which we can test our model\n",
    "\n",
    "\n",
    "Note that the prior predictive distribution will use the precinct populations (here, N) and the group fractions (here X) in generating the vote counts for each county. Here we'll come up with fictional X and N before we use them to generate the votes.\n",
    "\n",
    "This is a generous-to-the-model way to make fake data for our model -- since the data comes from the generative model itself! We also want to think about what happens if the data in the real world doesn't look much like data from the generative model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_precincts = 10\n",
    "X = np.linspace(0.1, 0.9, num_precincts)\n",
    "N = 100 * np.ones(num_precincts)\n",
    "T = 50 * np.ones(num_precincts) / N #ei.fit needs a vote_counts, value, even though this won't get used in the prior predictive"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Sample from the prior predictive\n",
    "ei.fit(X, T, N, draw_samples=False)\n",
    "with ei.sim_model as model:\n",
    "    prior_pred_for_simulation = pm.sample_prior_predictive()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.4 , 0.68, 0.45, 0.49, 0.62, 0.31, 0.69, 0.14, 0.42, 0.21])"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use one of the prior predictive samples as simulated data\n",
    "sample_num = 0\n",
    "simulated_vote_fraction = prior_pred_for_simulation['prior_predictive']['votes_count'].values[0,sample_num,:] / N\n",
    "simulated_vote_fraction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Compiling...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/karin/miniconda/envs/pyei_4/lib/python3.10/site-packages/pymc/aesaraf.py:996: UserWarning: The parameter 'updates' of aesara.function() expects an OrderedDict, got <class 'dict'>. Using a standard dictionary here results in non-deterministic behavior. You should use an OrderedDict if you are using Python 2.7 (collections.OrderedDict for older python), or use a list of (shared, update) pairs. Do not just convert your dictionary to this type before the call as the conversion will still be non-deterministic.\n",
      "  aesara_function = aesara.function(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Compilation time =  0:00:04.263724\n",
      "Sampling...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sampling time =  0:00:14.018543\n",
      "Transforming variables...\n",
      "Transformation time =  0:00:00.185133\n"
     ]
    }
   ],
   "source": [
    "ei.fit(X, simulated_vote_fraction, N)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<AxesSubplot:xlabel='Support for given candidate'>,\n",
       " <AxesSubplot:title={'center':'EI Summary'}>)"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ei.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "# compute true district-level voting preferences\n",
    "voting_pref_gp1 = (prior_pred_for_simulation['prior']['b_1'][0,sample_num,:] * N).sum() / N.sum()\n",
    "voting_pref_gp2 = (prior_pred_for_simulation['prior']['b_2'][0,sample_num,:] * N).sum() / N.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: king99_pareto_modification\n",
      "        Computed from the raw b_i samples by multiplying by population and then getting\n",
      "        the proportion of the total pop (total pop=summed across all districts):\n",
      "        The posterior mean for the district-level voting preference of\n",
      "        given demographic group for given candidate is\n",
      "        0.312\n",
      "        The posterior mean for the district-level voting preference of\n",
      "        non-given demographic group for given candidate is\n",
      "        0.576\n",
      "        95% equal-tailed Bayesian credible interval for district-level voting preference of\n",
      "        given demographic group for given candidate is\n",
      "        [0.18644538 0.45425549]\n",
      "        95% equal-tailed Bayesian credible interval for district-level voting preference of\n",
      "        non-given demographic group for given candidate is\n",
      "        [0.44178501 0.70193284]\n",
      "        \n",
      "true values: 0.3307041382294177 0.6264206059156274\n"
     ]
    }
   ],
   "source": [
    "print(ei.summary())\n",
    "print(\"true values:\", voting_pref_gp1.values, voting_pref_gp2.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>actual</th>\n",
       "      <th>inferred</th>\n",
       "      <th>95% CI lower</th>\n",
       "      <th>95% CI upper</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.459735</td>\n",
       "      <td>0.289624</td>\n",
       "      <td>0.046509</td>\n",
       "      <td>0.634498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.426647</td>\n",
       "      <td>0.340791</td>\n",
       "      <td>0.051523</td>\n",
       "      <td>0.693895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.391560</td>\n",
       "      <td>0.285128</td>\n",
       "      <td>0.040398</td>\n",
       "      <td>0.634832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.150013</td>\n",
       "      <td>0.304015</td>\n",
       "      <td>0.049136</td>\n",
       "      <td>0.636519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.515927</td>\n",
       "      <td>0.437640</td>\n",
       "      <td>0.148943</td>\n",
       "      <td>0.739348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.050121</td>\n",
       "      <td>0.205443</td>\n",
       "      <td>0.037688</td>\n",
       "      <td>0.431972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.639518</td>\n",
       "      <td>0.609708</td>\n",
       "      <td>0.421691</td>\n",
       "      <td>0.800909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.078026</td>\n",
       "      <td>0.097811</td>\n",
       "      <td>0.014676</td>\n",
       "      <td>0.210281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.414379</td>\n",
       "      <td>0.366381</td>\n",
       "      <td>0.232744</td>\n",
       "      <td>0.507241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.181114</td>\n",
       "      <td>0.184530</td>\n",
       "      <td>0.095820</td>\n",
       "      <td>0.280126</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     actual  inferred  95% CI lower  95% CI upper\n",
       "0  0.459735  0.289624      0.046509      0.634498\n",
       "1  0.426647  0.340791      0.051523      0.693895\n",
       "2  0.391560  0.285128      0.040398      0.634832\n",
       "3  0.150013  0.304015      0.049136      0.636519\n",
       "4  0.515927  0.437640      0.148943      0.739348\n",
       "5  0.050121  0.205443      0.037688      0.431972\n",
       "6  0.639518  0.609708      0.421691      0.800909\n",
       "7  0.078026  0.097811      0.014676      0.210281\n",
       "8  0.414379  0.366381      0.232744      0.507241\n",
       "9  0.181114  0.184530      0.095820      0.280126"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we can compare the inferred betas to the actual ones\n",
    "prior_pred_for_simulation['prior']['b_1'][0,sample_num,:] #actual\n",
    "precinct_posterior_means, precinct_credible_intervals = ei.precinct_level_estimates() # inferred\n",
    "b_1_posterior_means = precinct_posterior_means[:,0, 0]\n",
    "b_2_posterior_means = precinct_posterior_means[:,1, 0]\n",
    "b_1_credible_ints = precinct_credible_intervals[:, 0, 0, :]\n",
    "b_2_credible_ints = precinct_credible_intervals[:, 1, 0, :]\n",
    "\n",
    "b_1_int_lower = [x[0] for x in b_1_credible_ints]\n",
    "b_1_int_upper = [x[1] for x in b_1_credible_ints]\n",
    "b_2_int_lower = [x[0] for x in b_2_credible_ints]\n",
    "b_2_int_upper = [x[1] for x in b_2_credible_ints]\n",
    "import pandas as pd\n",
    "df_b1 = pd.DataFrame({'actual': prior_pred_for_simulation['prior']['b_1'][0,sample_num,:], 'inferred': b_1_posterior_means, '95% CI lower':b_1_int_lower, '95% CI upper':b_1_int_upper})\n",
    "df_b2 = pd.DataFrame({'actual': prior_pred_for_simulation['prior']['b_2'][0,sample_num,:], 'inferred': b_2_posterior_means, '95% CI lower':b_2_int_lower, '95% CI upper':b_2_int_upper})\n",
    "df_b1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'county level actual and estimate support of group 1 for candidate 1')"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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siIjh/J2mNYkDqo3NmTOHFStWtLoMs64mabA7oVgL+RSfmZm1JQeUmZm1JQeUmZm1JQeUmZm1JQeUmZm1JQdUHUi6QNJDkn5dZbgkfVlSj6TbJR3Y7BrNzDqNA6o+LiTdlbuaI0h3D94LWEx6FpOZmQ3CAVUHEXEd6Rb61RxNetR1RMQNpCe51vXJk2b2vK9ddy+33L+x1WXYKDmgmmMG/R/F3EuVx1pLWixphaQV69evb0pxZt1kydU9fHbZnXz/l8N5BJ21IwdUc1R6fHPFu/RGxHkRsSAiFkyb5ruvmA3Hkqt7OGf53Ry9/3Q+ffRLW12OjZIDqjl6gVmF7pmkJ3OaWZ0Uw+kLb9ufcdtU+l1oncQB1RxXAO/KrfkOAR6NiHWtLsqsWzicupNvFlsHki4GDgOmSuoFzgDGA0TEUmAZcCTQAzwFnNCaSs26j8Opezmg6iAijhtieADvb1I5ZmOGw6m7+RSfmXUkh1P3c0CZWcdxOI0NDigz6ygOp7HDAWVmHcPhNLY4oMysIzicxh4HlJm1PYfT2OSAMrO25nAauxxQZta2HE5jmwPKzNqSw8kcUGbWdhxOBg4oM2szDicrcUCZWdtwOFmRA8rM2oLDyco5oMys5RxOVokDysxayuFk1TigzKxlHE42GAeUmbWEw8mG4oAys6ZzOFktHFBm1lQOJ6uVA8rMmsbhZMPhgDKzpnA42XA5oMys4RxONhIOKDNrKIeTjZQDyswaxuFko+GAMrOGcDjZaDmgzKzuHE5WDw4oM6srh5PViwPKrEOdeeUqzrxyVavL6MfhZPW0basLMLORuWPtY60uoR+Hk9Wbj6DMbNQcTtYIDigzGxWHkzWKA6pOJB0u6W5JPZJOrzB8Z0lXSvqVpFWSTmhFnWb15HCyRnJA1YGkccAS4AhgPnCcpPllo70fuCMi9gMOAz4vaUJTCzWrI4eTNZoDqj4OAnoi4t6I2AxcAhxdNk4AkyUJ2BF4BHi2uWWa1YfDyZrBAVUfM4DVhe7e3K/oK8BLgLXASuBDEbG1fEaSFktaIWnF+vXrG1Wv2Yg5nKxZHFD1UWkLjbLuhcBtwHRgf+ArknYaMFHEeRGxICIWTJs2rd51mo2Kw8mayQFVH73ArEL3TNKRUtEJwGWR9AD3AXs3qT6zUXM4WbM5oOrjZmAvSXvmhg/HAleUjfMA8DoASS8A5gH3NrVKsxFyOFkr+E4SdRARz0o6GVgOjAMuiIhVkk7Kw5cCnwYulLSSdErwtIjY0LKizWrkcLJWcUDVSUQsA5aV9VtaeL0WeGOz6zIbDYeTtZJP8Zk1QDveyHW4HE7Waj6CMmuAdruR63A5nKwd+AjKzPpxOFm7cECZ2XMcTtZOHFBmBjicrP04oMzM4WRtyQFlNsY5nKxdOaDMxjCHk7UzB5TZGOVwsnbngDIbgxxO1gkcUGZluuEuEINxOFmn8J0kzMp0+l0gBuNwsk7iIyizMcLhZJ3GAWU2BjicrBM5oMy6nMPJOpUDyqyLOZyskzmgzLqUw8k6nQPKrAs5nKwbOKDMuozDybqFA8qsizicrJs4oMy6hMPJuo0DyqwLOJysGzmgbES6/X51ncThZN3K9+KzEen0+9WVwvWMo/Zp6DSNtmZTn8PJupYDysakkQRsu4Xymk199G7sczhZ1/IpPrMOtOTqHno39rHbpAkOJ+taDiizDlO65rTbpAnMnTbJ4WRdy6f4zDpIsUHEuk19SA4n614+gjLrEMVwes1e07ht9aPceN8jHHr2VVx+65pWl2dWdw4osw5QHk7/ePmv2bxlK5AaS3z0spUOKes6Dqg6kXS4pLsl9Ug6vco4h0m6TdIqSdc2u0brTOV/5/T5n/6Gvme29Bun75ktnLP87hZVaNYYvgaVSXrLYMMj4rJBph0HLAHeAPQCN0u6IiLuKIwzBTgXODwiHpC0e10Kt65W6Y9w127qqzhutf5mncoB9byj8v+7A68CrsrdfwZcA1QNKOAgoCci7gWQdAlwNHBHYZzjgcsi4gGAiHiobpVbV6p2h4jpUyaypkIYTZ8ysdklmjWUT/FlEXFCRJwABDA/Io6JiGOAWm4bMANYXejuzf2KXgzsIukaSbdIelelGUlaLGmFpBXr168fwSexbjDY7YtOWTiPiePH9Rt/4vhxnLJwXrPLNGsoH0ENNCci1hW6HySFy2AqtfWNsu5tgZcDrwMmAr+QdENE/KbfRBHnAecBLFiwoHweNgYMdW+9RQek3z6nfu92Nm/ZyowpEzll4bzn+pt1CwfUQNdIWg5cTAqZY4Grh5imF5hV6J4JrK0wzoaIeBJ4UtJ1wH7AbzDLar3x66IDZnDxTQ8A8J0TX9nMEs2axqf4ykTEycBSUnjsD5wXER8YYrKbgb0k7SlpAinUrigb5wfAn0jaVtIOwMHAnXUt3jqa70pu1p+PoCr7JfB4RPy3pB0kTY6Ix6uNHBHPSjoZWA6MAy6IiFWSTsrDl0bEnZJ+AtwObAXOj4hfN+GzWAdwOJkN5IAqI+lvgcXArsBcUmOHpaRrR1VFxDJgWVm/pWXd5wDn1LNe63wOJ7PKfIpvoPcDhwKPAUTEb0lNz83qzuFkVp0DaqA/RMTmUoekbRnYIs9s1BxOZoNzQA10raSPARMlvQH4LnBli2uyLuNwMhuaA2qg04H1wErgRGBZRPxja0uybuJwMquNG0kM9IGI+BLwtVIPSR/K/cxGxeFkVjsfQQ301xX6vbvZRVj3cTiZDY+PoDJJx5Fu6LqnpOIf2U4GHm5NVdYtHE5mw+eAet71wDpgKvD5Qv/HSX9cazYiDiezkXFAZRFxP3A/4BubWd04nMxGztegykg6RNLNkp6QtFnSFkmPtbou6zxrNvU5nMxGwQE10FeA44Dfkh6L8V7g/7W0Ius4azb10buxz+FkNgo+xVdBRPRIGhcRW4CvS7q+1TVZ51hydQ+9G/vYbdIEh5PZKDigBnoqPzLjNkn/TGo4ManFNVmDnXnlKgDOOKqWByhXV7rmtNukCcydNsnhZDYKPsU30DtJj8w4GXiS9CDCY1pakTXcHWsf4461o7vUWGwQMXfaJCSHk9loOKDKRMT9EdEXEY9FxJkR8Q8R0dPquqy9lbfWcziZjZ4DqoykN0u6VdIjkh6T9Lhb8dlg3JTcrDF8DWqgLwJvAVZGhB+zYYNyOJk1jo+gBloN/NrhZENxOJk1lo+gBjoVWCbpWuAPpZ4R8YXWlWTtxuFk1ngOqIE+CzwBbA9MaHEt1oYcTmbN4YAaaNeIeGOri7D25NsXmTWPr0EN9N+SHFA2gG9fZNZcDqiB3g/8RFKfm5lbiW9fZNZ8DqgyETE5IraJiIkRsVPu3qnVdVnrDPf2RZffuoZbH9jEjfc9wqFnX8Xlt65pUqVm3cXXoDJJe0fEXZIOrDQ8In7Z7Jqs9YoNItZt6hvyDhGX37qGj162ks1btgLptOBHL1sJwKIDZjS8XrNu4oB63j8Ai+n/NN2SAF7b3HKs1cpb6x3/tRuGnOac5XfT98yWfv36ntnCOcvvdkCZDZMDKouIxfnlERHxdHGYpO1bUJK10Ehb663d1Des/mZWna9BDVTp2U9+HtQYMprWetOnTBxWfzOrzgGVSfojSS8HJko6QNKB+d9hwA6trW70zrxy1XPPPLLqRtta75SF85g4fly/fhPHj+OUhfPqWabZmOBTfM9bCLwbmEm6DlXaMz0OfKxFNdXNaJ91NBaUTuuN5mGDpetMp37vdjZv2cqMKRM5ZeE8X38yGwEHVBYR/wH8h6RjIuL7ra7Hmqt4Wq+W1nqDWXTADC6+6QEAvnPiK+tVotmY41N8A82UtJOS8yX9spY7S0g6XNLdknoknT7IeK+QtEXSW+tbto1U+Wm9TnnY4PzpOzF/uv9Ez7qXj6AG+puI+JKkhcDuwAnA14H/qjaBpHHAEuANQC9ws6QrIuKOCuN9DljeqOJteIb7R7jt5Iyj9ml1CWYN5SOogUp7qDcBX4+IXxX6VXMQ0BMR90bEZuAS4OgK430A+D7wUL2KtZErNiWfO21Sxxw5mY0VDqiBbpG0HDgCWC5pMrB1iGlmkB50WNKb+z1H0gzgL4Clg81I0mJJKyStWL9+/bCLt9qUNyV3OJm1HwfUQO8Bfg78MCKeAnYB/m6IaSrt3cqfyPtF4LSI2FJh3OcnijgvIhZExIJp06bVVrENi2/8atYZHFADLQFeAByeux8Hhnqabi8wq9A9E1hbNs4C4BJJvwPeCpwradFoi7Xh6eRrTmZjjRtJDHRwRBwo6VaAiNgoaagn694M7CVpT2ANcCxwfHGEiNiz9FrShaQjtMvrWbgNrtqNX0t3H9+8ZSuHnn0V24/fhqk7btfias3MR1ADPZNb2wWApGkMcQ0qIp4FTia1zrsTuDQiVkk6SdJJjS7YhlZ+49diOJXfffy+DU+y4Yk/tLJcM8NHUJV8GfhPYHdJnyWdjvv4UBNFxDJgWVm/ig0iIuLdoy/TalUeTsXTepXuPr41YPUjvrmrWas5oMpExLck3QK8jtT4YVFE3NnismyEBgsnqH6X8dIRlZm1jgOqgoi4C7ir1XXY6AwVTpDuMr6mQkhNGOez32at5q3QulIt4QSV7z6+jWDWrn48hlmrOaCs69QaTpBu7HrWW1723BHTLjuMRxL3rH+SQ8++istvXdOsss2sjAPKuspwwqlk0QEzOGD2FOZOm8TTz2xly9b0N9ZrNvXx0ctWOqTMWsQBZV1jJOFUtPqRvgEt+vqe2cI5y++uZ5lmViMHlHWF0YYTVG+5V62ln5k1lgPKOl49wgmqt9ybPsUNJsxawQFlHa1e4QSp5V55i76J48dxysJ5oy3TzEbAAWUdq57hBDB1x+36teibMWUiZ73lZSw6YMYQU5pZI/gPdW3Yym+uesrCeU3fidc7nEoWHTCDi296AIDvnPjKuszTzEbGR1A2LJVurtrsptiNCiczay8OKBuWSjdXbWZTbIeT2djhgLJhqdbkuhlNsVsZTqXTmjfe94jvMGHWJA4oG5ZqTa4b3RS7nuE03LBph9OaZmORA8qGpdLNVRvdFLve4VQpbAZ7QGGrT2uajVUOKBuW8purNropdr1P61ULm8EeUNjK05pmY5mbmduwNaspdiOuOY3kAYXVnhnlO0yYNZaPoKwtNapBRLVQGewBha04rWlmDihrQ41srVctbAZ7QGGzT2uaWeJTfNZWGt2UvBQqp37vdjZv2cqMKRM5ZeG8505ZDjad7zBh1lwOKKurM69cBcAZR+0z7Gmb9XdOlcJmqIAys+ZzQFld3bH2sRFN5ztEmFk5X4OylnM4mVklDihrKYeTmVXjgLKWcTiZ2WAcUNYSDiczG4oDyprO4WRmtXBAWVM5nMysVg6oMaBdnmXkcDKz4XBA1YmkwyXdLalH0ukVhr9d0u353/WS9mtGXe3yLCOHk5kNlwOqDiSNA5YARwDzgeMkzS8b7T7gNRGxL/Bp4Lxm1NYOzzJyOJnZSPhOEvVxENATEfcCSLoEOBq4ozRCRFxfGP8GYGYzCmv1s4w6JZzmT9+p1SWYWRkHVH3MAFYXunuBgwcZ/z3AjysNkLQYWAwwe/bsURfWzGcZla51bd6ylUPPvor9Z03hRyvXtX04wcjuHWhmjeVTfPVRac8bFUeU/owUUKdVGh4R50XEgohYMG3atFEX1qxnGVW61vWjlet4+exd2j6czKw9+QiqPnqBWYXumcDa8pEk7QucDxwREQ83o7Bqj5eo97OMKl3rAlj3aJ/DycxGxAFVHzcDe0naE1gDHAscXxxB0mzgMuCdEfGbZhY32LOMRvN4jKJq17TWPfr0qOZrZmOXA6oOIuJZSScDy4FxwAURsUrSSXn4UuATwG7AuZIAno2IBa2quWSkj8co18xrXWY2Njig6iQilgHLyvotLbx+L/DeZtfVLPvPmjIgoBpxrcvMxg43krBRW3J1z3MNIsbn600zpkzkrLe8rO7Xusxs7PARlI1K+d85Hf+1G4CB17rMzIbLR1A2Yms29XXEH+GaWWdyQNmIrNnUR+/GPoeTmTWMA8qGbcnVPfRu7GO3SRMcTmbWMA4oG5bSNafdJk1g7rRJDiczaxg3krCaFRtErNvUR/57LjOzhvARlNWkvLWew8nMGs0BZUPqlEdmmFl3cUDZoBxOZtYqDiiryuFkZq3kRhJWkcNpdPyEXrPRc0CNYeVPwC09J8rhNHp+Qq/Z6DmgxqhKT8D96GUr+ekdD3bMY9rNrLv5GtQYVekJuH3PbHE4mVnbcECNUdWegAs4nMysLTigxqhqT7qdvvP2DiczawsOqDHqlIXzmDh+XL9+22+7DacevneLKjIz688BNUYtOmAGr9179+e6p++8PWcfs6+fgGtmbcOt+Mao0mPaS3clv/SkV7W6JDOzfhxQY5DvSm5mncCn+MYY35XczDqFA2oMWbOpz3eIMLOO4VN8Y8SaTX30buxreDj5HnRmVi8OqDFgydU99G7sY7dJExp+5OR70JlZvfgUX5crXXMqtdbzaT0z6xQ+gupibq1nZp3MR1Bdyq31zKzTOaC6kJ/nZGbdwAHVZRxOZtYtHFBdxOFkZt3EAVUnkg6XdLekHkmnVxguSV/Ow2+XdGA939/hZGbdxgFVB5LGAUuAI4D5wHGS5peNdgSwV/63GPhqvd7f4WRm3cjNzOvjIKAnIu4FkHQJcDRwR2Gco4GLIiKAGyRNkfTCiFg3mjdeeu09LQmnbr5jRDd/NrNO4oCqjxnA6kJ3L3BwDePMAPoFlKTFpCMsZs+ePeQb77HrDhxz4Ez++a37NvXIqZvvGFHtszm4zJrLAVUflZIhRjAOEXEecB7AggULBgwvd8TLXsgRL3thLTVawUjCpptD2awdOaDqoxeYVeieCawdwTgN41///TlszNqfA6o+bgb2krQnsAY4Fji+bJwrgJPz9amDgUdHe/1pOLxDNrNO44Cqg4h4VtLJwHJgHHBBRKySdFIevhRYBhwJ9ABPASe0ql4zs07ggKqTiFhGCqFiv6WF1wG8v9l1mZl1Kv8dlJmZtSUfQY1xbjxhZu3KATXGufGEmbUrn+IzM7O2pHTt3tqRpPXA/TWMOhXY0OByRqOd62vn2qC962vn2qD2+vaIiGmNLsaGzwHVBSStiIgFra6jmnaur51rg/aur51rg/avz4bmU3xmZtaWHFBmZtaWHFDd4bxWFzCEdq6vnWuD9q6vnWuD9q/PhuBrUGZm1pZ8BGVmZm3JAWVmZm3JAdVBJB0u6W5JPZJOrzBckr6ch98u6cA2qu3tuabbJV0vab9m1VZLfYXxXiFpi6S3tlNtkg6TdJukVZKubVZttdQnaWdJV0r6Va6vaXfql3SBpIck/brK8JZtE1YHEeF/HfCP9BiPe4A/BiYAvwLml41zJPBj0tN7DwFubKPaXgXskl8f0azaaq2vMN5VpLvSv7VdagOmAHcAs3P37u207ICPAZ/Lr6cBjwATmlTfnwIHAr+uMrwl24T/1eefj6A6x0FAT0TcGxGbgUuAo8vGORq4KJIbgCmSmvE8+CFri4jrI2Jj7ryB9EThZqll2QF8APg+8FCb1XY8cFlEPAAQEe1WXwCTJQnYkRRQzzajuIi4Lr9fNa3aJqwOHFCdYwawutDdm/sNd5xGGO77vof0q7ZZhqxP0gzgL4ClNFcty+7FwC6SrpF0i6R3Na262ur7CvASYC2wEvhQRGxtTnlDatU2YXXgu5l3DlXoV/43ArWM0wg1v6+kPyMF1KsbWlHZ21boV17fF4HTImJLOhBomlpq2xZ4OfA6YCLwC0k3RMRvGl0ctdW3ELgNeC0wF/ippP+JiMcaXFstWrVNWB04oDpHLzCr0D2T9It1uOM0Qk3vK2lf4HzgiIh4uAl1ldRS3wLgkhxOU4EjJT0bEZe3QW29wIaIeBJ4UtJ1wH5AMwKqlvpOAM6OiAB6JN0H7A3c1IT6htKqbcLqwKf4OsfNwF6S9pQ0ATgWuKJsnCuAd+WWS4cAj0bEunaoTdJs4DLgnU365T+s+iJiz4iYExFzgO8B72tCONVUG/AD4E8kbStpB+Bg4M4m1FZrfQ+Qju6Q9AJgHnBvk+obSqu2CasDH0F1iIh4VtLJwHJSy6oLImKVpJPy8KWk1mdHAj3AU6Rftu1S2yeA3YBz81HKs9GkO03XWF9L1FJbRNwp6SfA7cBW4PyIqNisuhX1AZ8GLpS0knRK7bSIaMpjOCRdDBwGTJXUC5wBjC/U1pJtwurDtzoyM7O25FN8ZmbWlhxQZmbWlhxQZmbWlhxQZmbWlhxQZmbWlhxQZjWQNEXS+1pdh9lY4oAyq80UYEBASRrX/FLMxgYHlFltzgbm5mcy3SzpaknfBlZKmlN8HpGkj0j6ZH49V9JP8k1e/0fS3i2q36zj+E4SZrU5HXhpROwv6TDgR7n7PklzBpnuPOCkiPitpIOBc0k3VTWzITigzEbmpoi4b7ARJO1IelDjdwt3SN+u0YWZdQsHlNnIPFl4/Sz9T5dvn//fBtgUEfs3qyizbuJrUGa1eRyYXGXYg8DuknaTtB3wZoD8PKT7JP0lQL6j9n5NqdasC/gIyqwGEfGwpJ/nxhB9pFAqDXtG0qeAG4H7gLsKk74d+Kqkj5Pusn0J8KvmVW7WuXw3czMza0s+xWdmZm3JAWVmZm3JAWVmZm3JAWVmZm3JAWVmZm3JAWVmZm3JAWVmZm3p/wOuKbMmg0Lr+gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "plt.scatter(df_b1['actual'], df_b1['inferred'])\n",
    "for true_val, cred_int in zip(df_b1['actual'], b_1_credible_ints):\n",
    "    plt.axvline(x=true_val, ymin=cred_int[0], ymax=cred_int[1])\n",
    "plt.plot((0,1), (0,1))\n",
    "plt.axis('square')\n",
    "plt.xlabel('true')\n",
    "plt.ylabel('estimated')\n",
    "plt.title(\"county level actual and estimate support of group 1 for candidate 1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'county level actual and estimate support of group 2 for candidate 2')"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "plt.scatter(df_b2['actual'], df_b2['inferred'])\n",
    "for true_val, cred_int in zip(df_b2['actual'], b_2_credible_ints):\n",
    "    plt.axvline(x=true_val, ymin=cred_int[0], ymax=cred_int[1])\n",
    "plt.plot((0,1), (0,1))\n",
    "plt.axis('square')\n",
    "plt.xlabel('true')\n",
    "plt.ylabel('estimated')\n",
    "plt.title(\"county level actual and estimate support of group 2 for candidate 2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Precinct level estimates of voting preferences'}, xlabel='Percent vote for candidate', ylabel='Precinct'>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x280.8 with 1 Axes>"
      ]
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