{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e2152ec1-a255-4f17-a62b-662e85b81ddc",
   "metadata": {},
   "source": [
    "# Figure 2:  Decay as a function of the number of samples and sites\n",
    "\n",
    "These series of plots shows how the overall root mean squared error (RMSE) decays as we increase the number of totol samples and the number of sites for different choices of samples per site. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "88c13a6d-5792-4028-ac57-5dc8576b3506",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import smpsite as smp\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1fbb560e-a747-4657-b61e-47e9c5a7ddfa",
   "metadata": {},
   "source": [
    "## 1. Figures a & b: Decay as a function of the number of total samples $n$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "dc12a478-95dd-4347-9185-1d7bde51f0f9",
   "metadata": {},
   "outputs": [
    {
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       "<p>776 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0  Unnamed: 1  error_angle_mean  error_angle_median  \\\n",
       "0             0           0          4.418425            4.068730   \n",
       "1             1           0          3.564401            3.307917   \n",
       "2             2           0          7.039044            6.605681   \n",
       "3             3           0          1.238532            1.158910   \n",
       "4             4           0          1.129028            1.053866   \n",
       "..          ...         ...               ...                 ...   \n",
       "771         771           0          1.534570            1.439038   \n",
       "772         772           0          1.215589            1.158157   \n",
       "773         773           0          2.524885            2.360240   \n",
       "774         774           0          5.089531            4.711650   \n",
       "775         775           0          1.662648            1.569897   \n",
       "\n",
       "     error_angle_25  error_angle_75  error_angle_95  error_angle_std  \\\n",
       "0          2.574621        5.931969        8.843983         2.389484   \n",
       "1          2.101149        4.756044        7.050093         1.916513   \n",
       "2          4.265727        9.247352       13.943720         3.726799   \n",
       "3          0.764595        1.644945        2.368667         0.645502   \n",
       "4          0.674889        1.512438        2.201005         0.590024   \n",
       "..              ...             ...             ...              ...   \n",
       "771        0.929228        2.031131        2.954905         0.789545   \n",
       "772        0.741750        1.638733        2.333324         0.615145   \n",
       "773        1.513693        3.397144        4.986915         1.338083   \n",
       "774        2.986586        6.697563       10.387042         2.796089   \n",
       "775        1.007462        2.204899        3.196883         0.861498   \n",
       "\n",
       "     error_angle_S2  error_angle_S  ...    N  n0  kappa_within_site  site_lat  \\\n",
       "0         25.229262       5.022874  ...   10   3                 50      30.0   \n",
       "1         16.376137       4.046744  ...   24   1                 50      30.0   \n",
       "2         63.430232       7.964310  ...    4   3                 50      30.0   \n",
       "3          1.950427       1.396577  ...  229   1                 50      30.0   \n",
       "4          1.622659       1.273836  ...  277   1                 50      30.0   \n",
       "..              ...            ...  ...  ...  ..                ...       ...   \n",
       "771        2.977974       1.725681  ...   87   3                 50      30.0   \n",
       "772        1.855872       1.362304  ...  242   1                 50      30.0   \n",
       "773        8.164615       2.857379  ...   35   2                 50      30.0   \n",
       "774       33.717527       5.806680  ...   11   1                 50      30.0   \n",
       "775        3.506206       1.872487  ...  117   1                 50      30.0   \n",
       "\n",
       "     site_long  outlier_rate  secular_method  kappa_secular ignore_outliers  \\\n",
       "0          0.0           0.0               G            NaN           False   \n",
       "1          0.0           0.0               G            NaN           False   \n",
       "2          0.0           0.0               G            NaN           False   \n",
       "3          0.0           0.0               G            NaN           False   \n",
       "4          0.0           0.0               G            NaN           False   \n",
       "..         ...           ...             ...            ...             ...   \n",
       "771        0.0           0.0               G            NaN           False   \n",
       "772        0.0           0.0               G            NaN           False   \n",
       "773        0.0           0.0               G            NaN           False   \n",
       "774        0.0           0.0               G            NaN           False   \n",
       "775        0.0           0.0               G            NaN           False   \n",
       "\n",
       "     total_simulations  \n",
       "0                 2000  \n",
       "1                 2000  \n",
       "2                 2000  \n",
       "3                 2000  \n",
       "4                 2000  \n",
       "..                 ...  \n",
       "771               2000  \n",
       "772               2000  \n",
       "773               2000  \n",
       "774               2000  \n",
       "775               2000  \n",
       "\n",
       "[776 rows x 22 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('../../outputs/fig2ab_2000sim_summary.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d3cd8781-f58c-43cd-baba-d8465bd2c17b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"error_kappa_theoretical\"] = df.apply(lambda row: smp.kappa_theoretical(smp.Params(N=row.N, \n",
    "                                                                                      n0=row.n0, \n",
    "                                                                                      kappa_within_site=row.kappa_within_site,\n",
    "                                                                                      site_lat=row.site_lat,\n",
    "                                                                                      site_long=row.site_long, \n",
    "                                                                                      outlier_rate=row.outlier_rate, \n",
    "                                                                                      secular_method=row.secular_method, \n",
    "                                                                                      kappa_secular=row.kappa_secular)), axis=1)\n",
    "df[\"error_angle_theoretical\"] = df.apply(lambda row: float(smp.kappa2angular(row.error_kappa_theoretical)), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "39872d72-8891-43c7-a85d-a1b5478f44eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,8))\n",
    "\n",
    "log_scale = True \n",
    "\n",
    "import matplotlib\n",
    "palette = {x : matplotlib.cm.get_cmap('viridis')((x-1)/7) for x in np.arange(1,8)}\n",
    "\n",
    "sizes = {i:5 - 0.4*(i-1) for i in range(1,8)}\n",
    "\n",
    "sns.lineplot(ax=ax, data=df, x='n_tot', y='error_angle_S', hue='n0', size='n0', palette=palette, sizes=sizes)\n",
    "sns.lineplot(ax=ax, data=df, x='n_tot', y='error_angle_theoretical', hue='n0', size=0.1, linewidth=2, palette=palette, legend=False, linestyle='dashdot')\n",
    "# plt.xscale(\"log\")\n",
    "\n",
    "plt.xlabel(\"Total number of samples ($n$)\", fontsize=20)\n",
    "plt.ylabel(\"RMSE (degrees)\", fontsize=20)\n",
    "plt.yticks(fontsize=18)\n",
    "\n",
    "leg = plt.legend(title=\"Samples per site\", loc=\"upper right\", fontsize=18, title_fontsize=18)\n",
    "for i in range(7):\n",
    "    leg.get_lines()[i].set_linewidth(1.5*sizes[i+1])\n",
    "ax.spines[['right', 'top']].set_visible(False)\n",
    "\n",
    "if log_scale:\n",
    "    plt.xscale(\"log\")\n",
    "    plt.yscale(\"log\")\n",
    "    plt.xticks(fontsize=18)\n",
    "    plt.savefig(\"Figure2b_log.pdf\", format=\"pdf\", bbox_inches='tight')\n",
    "    plt.savefig(\"Figure2b_log.png\", format=\"png\", bbox_inches='tight')\n",
    "else:\n",
    "    plt.xticks([0, 50, 100, 150, 200, 250, 300], fontsize=18)\n",
    "    plt.xlim(0, 300)\n",
    "    plt.ylim(0, 8)\n",
    "    plt.savefig(\"Figure2a.pdf\", format=\"pdf\", bbox_inches='tight')\n",
    "    plt.savefig(\"Figure2a.png\", format=\"png\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d931cf59-9ded-4adc-8001-49280080f510",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"error_kappa_theoretical\"] = df.apply(lambda row: smp.kappa_theoretical(smp.Params(N=row.N, \n",
    "                                                                                      n0=row.n0, \n",
    "                                                                                      kappa_within_site=row.kappa_within_site,\n",
    "                                                                                      site_lat=row.site_lat,\n",
    "                                                                                      site_long=row.site_long,   \n",
    "                                                                                      outlier_rate=row.outlier_rate, \n",
    "                                                                                      secular_method=row.secular_method, \n",
    "                                                                                      kappa_secular=row.kappa_secular)), axis=1)\n",
    "df[\"error_angle_theoretical\"] = df.apply(lambda row: float(smp.kappa2angular(row.error_kappa_theoretical)), axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4febea2d-442c-442b-9366-fc65f5e44797",
   "metadata": {},
   "source": [
    "## Figure c & d: Decay as a function of the number of sites"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5eaa918e-3499-4074-8a7d-77dbaba0a4f9",
   "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>Unnamed: 0</th>\n",
       "      <th>Unnamed: 1</th>\n",
       "      <th>error_angle_mean</th>\n",
       "      <th>error_angle_median</th>\n",
       "      <th>error_angle_25</th>\n",
       "      <th>error_angle_75</th>\n",
       "      <th>error_angle_95</th>\n",
       "      <th>error_angle_std</th>\n",
       "      <th>error_angle_S2</th>\n",
       "      <th>error_vgp_scatter</th>\n",
       "      <th>...</th>\n",
       "      <th>N</th>\n",
       "      <th>n0</th>\n",
       "      <th>kappa_within_site</th>\n",
       "      <th>site_lat</th>\n",
       "      <th>site_long</th>\n",
       "      <th>outlier_rate</th>\n",
       "      <th>secular_method</th>\n",
       "      <th>kappa_secular</th>\n",
       "      <th>ignore_outliers</th>\n",
       "      <th>total_simulations</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.507303</td>\n",
       "      <td>3.326483</td>\n",
       "      <td>2.133586</td>\n",
       "      <td>4.603671</td>\n",
       "      <td>6.762467</td>\n",
       "      <td>1.803921</td>\n",
       "      <td>15.553678</td>\n",
       "      <td>2.244988</td>\n",
       "      <td>...</td>\n",
       "      <td>14</td>\n",
       "      <td>6</td>\n",
       "      <td>50</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>G</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.824976</td>\n",
       "      <td>1.716661</td>\n",
       "      <td>1.092270</td>\n",
       "      <td>2.457725</td>\n",
       "      <td>3.515834</td>\n",
       "      <td>0.944936</td>\n",
       "      <td>4.222996</td>\n",
       "      <td>1.319370</td>\n",
       "      <td>...</td>\n",
       "      <td>70</td>\n",
       "      <td>2</td>\n",
       "      <td>50</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>G</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2.755531</td>\n",
       "      <td>2.596467</td>\n",
       "      <td>1.664463</td>\n",
       "      <td>3.666091</td>\n",
       "      <td>5.281088</td>\n",
       "      <td>1.430537</td>\n",
       "      <td>9.638365</td>\n",
       "      <td>2.061391</td>\n",
       "      <td>...</td>\n",
       "      <td>30</td>\n",
       "      <td>2</td>\n",
       "      <td>50</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>G</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3.865201</td>\n",
       "      <td>3.690096</td>\n",
       "      <td>2.323372</td>\n",
       "      <td>5.129322</td>\n",
       "      <td>7.579034</td>\n",
       "      <td>2.014398</td>\n",
       "      <td>18.995552</td>\n",
       "      <td>2.327094</td>\n",
       "      <td>...</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>50</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>G</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2.231617</td>\n",
       "      <td>2.061765</td>\n",
       "      <td>1.363932</td>\n",
       "      <td>2.949242</td>\n",
       "      <td>4.350726</td>\n",
       "      <td>1.154125</td>\n",
       "      <td>6.311454</td>\n",
       "      <td>1.434520</td>\n",
       "      <td>...</td>\n",
       "      <td>36</td>\n",
       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>G</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>352</td>\n",
       "      <td>0</td>\n",
       "      <td>2.462295</td>\n",
       "      <td>2.297074</td>\n",
       "      <td>1.502908</td>\n",
       "      <td>3.300662</td>\n",
       "      <td>4.778267</td>\n",
       "      <td>1.280982</td>\n",
       "      <td>7.702988</td>\n",
       "      <td>1.632359</td>\n",
       "      <td>...</td>\n",
       "      <td>32</td>\n",
       "      <td>4</td>\n",
       "      <td>50</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>G</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>353</td>\n",
       "      <td>0</td>\n",
       "      <td>1.979653</td>\n",
       "      <td>1.858608</td>\n",
       "      <td>1.168008</td>\n",
       "      <td>2.691842</td>\n",
       "      <td>3.864772</td>\n",
       "      <td>1.057756</td>\n",
       "      <td>5.037314</td>\n",
       "      <td>1.223433</td>\n",
       "      <td>...</td>\n",
       "      <td>44</td>\n",
       "      <td>7</td>\n",
       "      <td>50</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>G</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>354</td>\n",
       "      <td>0</td>\n",
       "      <td>1.361468</td>\n",
       "      <td>1.278077</td>\n",
       "      <td>0.825126</td>\n",
       "      <td>1.807194</td>\n",
       "      <td>2.679220</td>\n",
       "      <td>0.722299</td>\n",
       "      <td>2.375049</td>\n",
       "      <td>0.878151</td>\n",
       "      <td>...</td>\n",
       "      <td>98</td>\n",
       "      <td>4</td>\n",
       "      <td>50</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>G</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>355</td>\n",
       "      <td>0</td>\n",
       "      <td>2.096491</td>\n",
       "      <td>1.979148</td>\n",
       "      <td>1.295316</td>\n",
       "      <td>2.769094</td>\n",
       "      <td>4.051376</td>\n",
       "      <td>1.073121</td>\n",
       "      <td>5.546288</td>\n",
       "      <td>1.378519</td>\n",
       "      <td>...</td>\n",
       "      <td>46</td>\n",
       "      <td>3</td>\n",
       "      <td>50</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>G</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>356</td>\n",
       "      <td>0</td>\n",
       "      <td>1.515558</td>\n",
       "      <td>1.421238</td>\n",
       "      <td>0.915071</td>\n",
       "      <td>2.030036</td>\n",
       "      <td>2.954767</td>\n",
       "      <td>0.801870</td>\n",
       "      <td>2.939590</td>\n",
       "      <td>0.954425</td>\n",
       "      <td>...</td>\n",
       "      <td>80</td>\n",
       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>G</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>357 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0  Unnamed: 1  error_angle_mean  error_angle_median  \\\n",
       "0             0           0          3.507303            3.326483   \n",
       "1             1           0          1.824976            1.716661   \n",
       "2             2           0          2.755531            2.596467   \n",
       "3             3           0          3.865201            3.690096   \n",
       "4             4           0          2.231617            2.061765   \n",
       "..          ...         ...               ...                 ...   \n",
       "352         352           0          2.462295            2.297074   \n",
       "353         353           0          1.979653            1.858608   \n",
       "354         354           0          1.361468            1.278077   \n",
       "355         355           0          2.096491            1.979148   \n",
       "356         356           0          1.515558            1.421238   \n",
       "\n",
       "     error_angle_25  error_angle_75  error_angle_95  error_angle_std  \\\n",
       "0          2.133586        4.603671        6.762467         1.803921   \n",
       "1          1.092270        2.457725        3.515834         0.944936   \n",
       "2          1.664463        3.666091        5.281088         1.430537   \n",
       "3          2.323372        5.129322        7.579034         2.014398   \n",
       "4          1.363932        2.949242        4.350726         1.154125   \n",
       "..              ...             ...             ...              ...   \n",
       "352        1.502908        3.300662        4.778267         1.280982   \n",
       "353        1.168008        2.691842        3.864772         1.057756   \n",
       "354        0.825126        1.807194        2.679220         0.722299   \n",
       "355        1.295316        2.769094        4.051376         1.073121   \n",
       "356        0.915071        2.030036        2.954767         0.801870   \n",
       "\n",
       "     error_angle_S2  error_vgp_scatter  ...   N  n0  kappa_within_site  \\\n",
       "0         15.553678           2.244988  ...  14   6                 50   \n",
       "1          4.222996           1.319370  ...  70   2                 50   \n",
       "2          9.638365           2.061391  ...  30   2                 50   \n",
       "3         18.995552           2.327094  ...  12   7                 50   \n",
       "4          6.311454           1.434520  ...  36   5                 50   \n",
       "..              ...                ...  ...  ..  ..                ...   \n",
       "352        7.702988           1.632359  ...  32   4                 50   \n",
       "353        5.037314           1.223433  ...  44   7                 50   \n",
       "354        2.375049           0.878151  ...  98   4                 50   \n",
       "355        5.546288           1.378519  ...  46   3                 50   \n",
       "356        2.939590           0.954425  ...  80   5                 50   \n",
       "\n",
       "     site_lat  site_long  outlier_rate  secular_method kappa_secular  \\\n",
       "0        30.0        0.0           0.0               G           NaN   \n",
       "1        30.0        0.0           0.0               G           NaN   \n",
       "2        30.0        0.0           0.0               G           NaN   \n",
       "3        30.0        0.0           0.0               G           NaN   \n",
       "4        30.0        0.0           0.0               G           NaN   \n",
       "..        ...        ...           ...             ...           ...   \n",
       "352      30.0        0.0           0.0               G           NaN   \n",
       "353      30.0        0.0           0.0               G           NaN   \n",
       "354      30.0        0.0           0.0               G           NaN   \n",
       "355      30.0        0.0           0.0               G           NaN   \n",
       "356      30.0        0.0           0.0               G           NaN   \n",
       "\n",
       "     ignore_outliers  total_simulations  \n",
       "0              False               2000  \n",
       "1              False               2000  \n",
       "2              False               2000  \n",
       "3              False               2000  \n",
       "4              False               2000  \n",
       "..               ...                ...  \n",
       "352            False               2000  \n",
       "353            False               2000  \n",
       "354            False               2000  \n",
       "355            False               2000  \n",
       "356            False               2000  \n",
       "\n",
       "[357 rows x 21 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('../../outputs/fig2cd_2000sim_summary.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f19df204-2ad7-449a-a85e-77666e9ae6d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"error_angle_S\"] = df[\"error_angle_S2\"] ** .5 \n",
    "\n",
    "df[\"error_kappa_theoretical\"] = df.apply(lambda row: smp.kappa_theoretical(smp.Params(N=row.N, \n",
    "                                                                                    n0=row.n0, \n",
    "                                                                                    kappa_within_site=row.kappa_within_site,\n",
    "                                                                                    site_lat=row.site_lat,\n",
    "                                                                                    site_long=row.site_long, \n",
    "                                                                                    outlier_rate=row.outlier_rate, \n",
    "                                                                                    secular_method=row.secular_method, \n",
    "                                                                                    kappa_secular=row.kappa_secular)), axis=1)\n",
    "df[\"error_angle_theoretical\"] = df.apply(lambda row: float(smp.kappa2angular(row.error_kappa_theoretical)), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e9ad5f70-55cf-4bc3-aafd-0678100b304d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,8))\n",
    "\n",
    "log_scale = False\n",
    "plot_theory = True\n",
    "\n",
    "import matplotlib\n",
    "palette = {x : matplotlib.cm.get_cmap('viridis')((x-1)/7) for x in np.arange(1,8)}\n",
    "\n",
    "sizes = {i:5 - 0.4*(i-1) for i in range(1,8)}\n",
    "\n",
    "sns.lineplot(ax=ax, data=df, x='N', y='error_angle_S', hue='n0', size='n0', palette=palette, sizes=sizes)\n",
    "if plot_theory:\n",
    "    sns.lineplot(ax=ax, data=df, x='N', y='error_angle_theoretical', hue='n0', linewidth=2, palette=palette, legend=False, linestyle='dashdot')\n",
    "\n",
    "\n",
    "plt.xlabel(\"Total number of sites ($N$)\", fontsize=20)\n",
    "plt.ylabel(\"RMSE (degrees)\", fontsize=20)\n",
    "plt.yticks(fontsize=18)\n",
    "\n",
    "leg = plt.legend(title=\"Samples per site\", loc=\"upper right\", fontsize=18, title_fontsize=18)\n",
    "for i in range(7):\n",
    "    leg.get_lines()[i].set_linewidth(1.5*sizes[i+1])\n",
    "ax.spines[['right', 'top']].set_visible(False)\n",
    "\n",
    "if log_scale:\n",
    "    plt.xscale(\"log\")\n",
    "    plt.yscale(\"log\")\n",
    "    plt.xticks(fontsize=18)\n",
    "    plt.savefig(\"Figure2d_log.pdf\", format=\"pdf\", bbox_inches='tight')\n",
    "    plt.savefig(\"Figure2d_log.png\", format=\"png\", bbox_inches='tight')\n",
    "else:\n",
    "    plt.xticks(np.arange(0, 101, 20), fontsize=18)\n",
    "    plt.xlim(0, 100)\n",
    "    plt.ylim(0, 8)\n",
    "    plt.savefig(\"Figure2c.pdf\", format=\"pdf\", bbox_inches='tight')\n",
    "    plt.savefig(\"Figure2c.png\", format=\"png\", bbox_inches='tight')\n"
   ]
  }
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