{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Atomic Mass Evaluation (2016)\n",
    "\n",
    "In this brief notebook, we use the processed AME data to explore and visualize some attributes. Let us start by importing the necessary packages.\n",
    "\n",
    "**NOTE: This notebook is not meant to be a complete exploration resource. You are responsible for exploring and validating the data.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-05T21:52:48.689331Z",
     "start_time": "2021-05-05T21:52:48.685830Z"
    }
   },
   "outputs": [],
   "source": [
    "# # PROTOTYPE\n",
    "# import sys\n",
    "# sys.path.append(\"../..\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-05T21:52:51.355907Z",
     "start_time": "2021-05-05T21:52:49.813316Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "\n",
    "pd.set_option('display.max_columns', 500)\n",
    "\n",
    "import nucml.datasets as nuc_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-05T21:52:52.177112Z",
     "start_time": "2021-05-05T21:52:52.173610Z"
    }
   },
   "outputs": [],
   "source": [
    "# This is were our figures will be stored\n",
    "fig_dir = \"Figures/\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading Merged AME Files with Natural Data AND with and without NaNs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-05T21:52:55.004018Z",
     "start_time": "2021-05-05T21:52:54.908518Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:AME: Reading and loading Atomic Mass Evaluation files from: \n",
      " C:/Users/Pedro/Desktop/ML_Nuclear_Data/AME/CSV_Files\\AME_all_merged.csv\n",
      "INFO:root:AME: Reading and loading Atomic Mass Evaluation files from: \n",
      " C:/Users/Pedro/Desktop/ML_Nuclear_Data/AME/CSV_Files\\AME_Natural_Properties_no_NaN.csv\n"
     ]
    }
   ],
   "source": [
    "ame = nuc_data.load_ame()\n",
    "ame_filled = nuc_data.load_ame(natural=True, imputed_nan=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-05T21:52:55.923825Z",
     "start_time": "2021-05-05T21:52:55.917325Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3436, 65)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ame.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-05T21:52:57.460824Z",
     "start_time": "2021-05-05T21:52:57.453322Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "46.16% of the rows have missing values.\n"
     ]
    }
   ],
   "source": [
    "# How many rows with missing values exists?\n",
    "rows_w_missing = ame[ame.isnull().any(axis=1)].shape[0]\n",
    "print(\"{:.2f}% of the rows have missing values.\".format(100 * (rows_w_missing/ame.shape[0])))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can get some quick statistics for each numerical feature of the AME dataset. The `count` value shows approximatedly how many missing values are per feature."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-23T20:05:48.389845Z",
     "start_time": "2021-02-23T20:05:48.236847Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\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>N</th>\n",
       "      <th>Z</th>\n",
       "      <th>A</th>\n",
       "      <th>Mass_Excess</th>\n",
       "      <th>dMass_Excess</th>\n",
       "      <th>Binding_Energy</th>\n",
       "      <th>dBinding_Energy</th>\n",
       "      <th>B_Decay_Energy</th>\n",
       "      <th>dB_Decay_Energy</th>\n",
       "      <th>Atomic_Mass_Micro</th>\n",
       "      <th>dAtomic_Mass_Micro</th>\n",
       "      <th>S(2n)</th>\n",
       "      <th>dS(2n)</th>\n",
       "      <th>S(2p)</th>\n",
       "      <th>dS(2p)</th>\n",
       "      <th>Q(a)</th>\n",
       "      <th>dQ(a)</th>\n",
       "      <th>Q(2B-)</th>\n",
       "      <th>dQ(2B-)</th>\n",
       "      <th>Q(ep)</th>\n",
       "      <th>dQ(ep)</th>\n",
       "      <th>Q(B-n)</th>\n",
       "      <th>dQ(B-n)</th>\n",
       "      <th>S(n)</th>\n",
       "      <th>dS(n)</th>\n",
       "      <th>S(p)</th>\n",
       "      <th>dS(p)</th>\n",
       "      <th>Q(4B-)</th>\n",
       "      <th>dQ(4B-)</th>\n",
       "      <th>Q(d,a)</th>\n",
       "      <th>dQ(d,a)</th>\n",
       "      <th>Q(p,a)</th>\n",
       "      <th>dQ(p,a)</th>\n",
       "      <th>Q(n,a)</th>\n",
       "      <th>dQ(n,a)</th>\n",
       "      <th>Q(g,p)</th>\n",
       "      <th>Q(g,n)</th>\n",
       "      <th>Q(g,pn)</th>\n",
       "      <th>Q(g,d)</th>\n",
       "      <th>Q(g,t)</th>\n",
       "      <th>Q(g,He3)</th>\n",
       "      <th>Q(g,2p)</th>\n",
       "      <th>Q(g,2n)</th>\n",
       "      <th>Q(g,a)</th>\n",
       "      <th>Q(p,n)</th>\n",
       "      <th>Q(p,2p)</th>\n",
       "      <th>Q(p,pn)</th>\n",
       "      <th>Q(p,d)</th>\n",
       "      <th>Q(p,2n)</th>\n",
       "      <th>Q(p,t)</th>\n",
       "      <th>Q(p,3He)</th>\n",
       "      <th>Q(n,2p)</th>\n",
       "      <th>Q(n,np)</th>\n",
       "      <th>Q(n,d)</th>\n",
       "      <th>Q(n,2n)</th>\n",
       "      <th>Q(n,t)</th>\n",
       "      <th>Q(n,3He)</th>\n",
       "      <th>Q(d,t)</th>\n",
       "      <th>Q(d,3He)</th>\n",
       "      <th>Q(3He,t)</th>\n",
       "      <th>Q(3He,a)</th>\n",
       "      <th>Q(t,a)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3436.000000</td>\n",
       "      <td>3436.000000</td>\n",
       "      <td>3436.000000</td>\n",
       "      <td>3436.000000</td>\n",
       "      <td>3436.000000</td>\n",
       "      <td>3436.000000</td>\n",
       "      <td>3436.000000</td>\n",
       "      <td>3141.000000</td>\n",
       "      <td>3141.000000</td>\n",
       "      <td>3.436000e+03</td>\n",
       "      <td>3436.000000</td>\n",
       "      <td>3199.000000</td>\n",
       "      <td>3199.000000</td>\n",
       "      <td>3081.000000</td>\n",
       "      <td>3081.000000</td>\n",
       "      <td>3298.000000</td>\n",
       "      <td>3298.000000</td>\n",
       "      <td>2848.000000</td>\n",
       "      <td>2848.000000</td>\n",
       "      <td>2964.000000</td>\n",
       "      <td>2964.000000</td>\n",
       "      <td>3023.000000</td>\n",
       "      <td>3023.000000</td>\n",
       "      <td>3318.000000</td>\n",
       "      <td>3318.000000</td>\n",
       "      <td>3258.000000</td>\n",
       "      <td>3258.000000</td>\n",
       "      <td>2284.000000</td>\n",
       "      <td>2284.000000</td>\n",
       "      <td>3367.000000</td>\n",
       "      <td>3367.000000</td>\n",
       "      <td>3331.000000</td>\n",
       "      <td>3331.000000</td>\n",
       "      <td>3195.000000</td>\n",
       "      <td>3195.000000</td>\n",
       "      <td>3258.000000</td>\n",
       "      <td>3318.000000</td>\n",
       "      <td>3367.000000</td>\n",
       "      <td>3367.000000</td>\n",
       "      <td>3331.000000</td>\n",
       "      <td>3195.000000</td>\n",
       "      <td>3081.000000</td>\n",
       "      <td>3199.000000</td>\n",
       "      <td>3298.000000</td>\n",
       "      <td>3141.000000</td>\n",
       "      <td>3258.000000</td>\n",
       "      <td>3318.000000</td>\n",
       "      <td>3318.000000</td>\n",
       "      <td>3023.000000</td>\n",
       "      <td>3199.000000</td>\n",
       "      <td>3367.000000</td>\n",
       "      <td>2964.000000</td>\n",
       "      <td>3258.000000</td>\n",
       "      <td>3258.000000</td>\n",
       "      <td>3318.000000</td>\n",
       "      <td>3367.000000</td>\n",
       "      <td>3081.000000</td>\n",
       "      <td>3318.000000</td>\n",
       "      <td>3258.000000</td>\n",
       "      <td>3141.000000</td>\n",
       "      <td>3318.000000</td>\n",
       "      <td>3258.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>82.034051</td>\n",
       "      <td>57.857392</td>\n",
       "      <td>139.891444</td>\n",
       "      <td>-24144.120957</td>\n",
       "      <td>123.588536</td>\n",
       "      <td>7959.806728</td>\n",
       "      <td>1.838921</td>\n",
       "      <td>-100.991337</td>\n",
       "      <td>155.851106</td>\n",
       "      <td>1.398655e+08</td>\n",
       "      <td>132.654412</td>\n",
       "      <td>15464.510253</td>\n",
       "      <td>156.349187</td>\n",
       "      <td>13711.908945</td>\n",
       "      <td>153.876813</td>\n",
       "      <td>-1028.352902</td>\n",
       "      <td>141.749175</td>\n",
       "      <td>-158.406791</td>\n",
       "      <td>148.478968</td>\n",
       "      <td>-6755.747156</td>\n",
       "      <td>150.761589</td>\n",
       "      <td>-7807.666279</td>\n",
       "      <td>151.842233</td>\n",
       "      <td>7755.557459</td>\n",
       "      <td>164.216263</td>\n",
       "      <td>6869.773398</td>\n",
       "      <td>160.008898</td>\n",
       "      <td>-324.475306</td>\n",
       "      <td>162.191690</td>\n",
       "      <td>11414.314298</td>\n",
       "      <td>175.347868</td>\n",
       "      <td>5894.960498</td>\n",
       "      <td>169.043993</td>\n",
       "      <td>6792.835383</td>\n",
       "      <td>160.967815</td>\n",
       "      <td>-6869.773398</td>\n",
       "      <td>-7755.557459</td>\n",
       "      <td>-14656.779602</td>\n",
       "      <td>-12432.213602</td>\n",
       "      <td>-13918.904402</td>\n",
       "      <td>-13784.784017</td>\n",
       "      <td>-13711.908945</td>\n",
       "      <td>-15464.510253</td>\n",
       "      <td>-1028.352902</td>\n",
       "      <td>-883.337837</td>\n",
       "      <td>-6869.773398</td>\n",
       "      <td>-7755.557459</td>\n",
       "      <td>-5530.991459</td>\n",
       "      <td>-8590.012779</td>\n",
       "      <td>-6982.715353</td>\n",
       "      <td>-6938.739202</td>\n",
       "      <td>-5973.400656</td>\n",
       "      <td>-6869.773398</td>\n",
       "      <td>-4645.207398</td>\n",
       "      <td>-7755.557459</td>\n",
       "      <td>-6174.984602</td>\n",
       "      <td>-5993.868545</td>\n",
       "      <td>-1498.328459</td>\n",
       "      <td>-1376.298998</td>\n",
       "      <td>-119.583337</td>\n",
       "      <td>12822.061941</td>\n",
       "      <td>12944.091502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>43.293558</td>\n",
       "      <td>27.809406</td>\n",
       "      <td>70.599410</td>\n",
       "      <td>56200.705700</td>\n",
       "      <td>197.547987</td>\n",
       "      <td>738.982115</td>\n",
       "      <td>15.031735</td>\n",
       "      <td>8063.858254</td>\n",
       "      <td>239.079983</td>\n",
       "      <td>7.063095e+07</td>\n",
       "      <td>212.043923</td>\n",
       "      <td>6550.042919</td>\n",
       "      <td>242.338186</td>\n",
       "      <td>10078.915472</td>\n",
       "      <td>235.628998</td>\n",
       "      <td>6989.405614</td>\n",
       "      <td>233.060316</td>\n",
       "      <td>14319.652534</td>\n",
       "      <td>217.688173</td>\n",
       "      <td>12278.480250</td>\n",
       "      <td>225.980065</td>\n",
       "      <td>10536.785128</td>\n",
       "      <td>229.821244</td>\n",
       "      <td>3631.746683</td>\n",
       "      <td>254.377651</td>\n",
       "      <td>5444.802214</td>\n",
       "      <td>250.538488</td>\n",
       "      <td>23373.457604</td>\n",
       "      <td>203.785478</td>\n",
       "      <td>3977.016875</td>\n",
       "      <td>264.596607</td>\n",
       "      <td>4615.611122</td>\n",
       "      <td>257.035502</td>\n",
       "      <td>8215.124941</td>\n",
       "      <td>246.518545</td>\n",
       "      <td>5444.802214</td>\n",
       "      <td>3631.746683</td>\n",
       "      <td>3977.016875</td>\n",
       "      <td>3977.016875</td>\n",
       "      <td>4615.611122</td>\n",
       "      <td>8215.124941</td>\n",
       "      <td>10078.915472</td>\n",
       "      <td>6550.042919</td>\n",
       "      <td>6989.405614</td>\n",
       "      <td>8063.858254</td>\n",
       "      <td>5444.802214</td>\n",
       "      <td>3631.746683</td>\n",
       "      <td>3631.746683</td>\n",
       "      <td>10536.785128</td>\n",
       "      <td>6550.042919</td>\n",
       "      <td>3977.016875</td>\n",
       "      <td>12278.480250</td>\n",
       "      <td>5444.802214</td>\n",
       "      <td>5444.802214</td>\n",
       "      <td>3631.746683</td>\n",
       "      <td>3977.016875</td>\n",
       "      <td>10078.915472</td>\n",
       "      <td>3631.746683</td>\n",
       "      <td>5444.802214</td>\n",
       "      <td>8063.858254</td>\n",
       "      <td>3631.746683</td>\n",
       "      <td>5444.802214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-91652.853000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-2267.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-28945.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.007825e+06</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-3120.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-7630.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-25474.730000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-37359.770000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-52959.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-39622.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-2488.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-4527.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-59615.000000</td>\n",
       "      <td>0.140000</td>\n",
       "      <td>-4128.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-13545.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-26083.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-31008.000000</td>\n",
       "      <td>-27715.000000</td>\n",
       "      <td>-30199.093900</td>\n",
       "      <td>-27974.527900</td>\n",
       "      <td>-33358.864900</td>\n",
       "      <td>-46660.619400</td>\n",
       "      <td>-55187.000000</td>\n",
       "      <td>-40541.000000</td>\n",
       "      <td>-25474.730000</td>\n",
       "      <td>-29727.346500</td>\n",
       "      <td>-31008.000000</td>\n",
       "      <td>-27715.000000</td>\n",
       "      <td>-25490.434000</td>\n",
       "      <td>-40404.346500</td>\n",
       "      <td>-32059.205100</td>\n",
       "      <td>-22481.053500</td>\n",
       "      <td>-52176.653500</td>\n",
       "      <td>-31008.000000</td>\n",
       "      <td>-28783.434000</td>\n",
       "      <td>-27715.000000</td>\n",
       "      <td>-21717.298900</td>\n",
       "      <td>-47468.959600</td>\n",
       "      <td>-21457.771000</td>\n",
       "      <td>-25514.525600</td>\n",
       "      <td>-28963.592000</td>\n",
       "      <td>-7137.380600</td>\n",
       "      <td>-11194.135100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>47.000000</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>84.000000</td>\n",
       "      <td>-65400.443000</td>\n",
       "      <td>3.005750</td>\n",
       "      <td>7730.734250</td>\n",
       "      <td>0.024000</td>\n",
       "      <td>-5356.454000</td>\n",
       "      <td>6.406000</td>\n",
       "      <td>8.392781e+07</td>\n",
       "      <td>3.226500</td>\n",
       "      <td>11068.100000</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>5819.440000</td>\n",
       "      <td>6.550000</td>\n",
       "      <td>-6262.357500</td>\n",
       "      <td>3.782500</td>\n",
       "      <td>-9937.682500</td>\n",
       "      <td>8.100000</td>\n",
       "      <td>-14125.250000</td>\n",
       "      <td>7.277500</td>\n",
       "      <td>-14561.930000</td>\n",
       "      <td>7.100000</td>\n",
       "      <td>5414.787500</td>\n",
       "      <td>5.140000</td>\n",
       "      <td>2772.250000</td>\n",
       "      <td>5.842500</td>\n",
       "      <td>-17485.152500</td>\n",
       "      <td>11.670000</td>\n",
       "      <td>8767.635000</td>\n",
       "      <td>6.160000</td>\n",
       "      <td>3353.955000</td>\n",
       "      <td>5.900000</td>\n",
       "      <td>1986.590000</td>\n",
       "      <td>6.190000</td>\n",
       "      <td>-9949.867500</td>\n",
       "      <td>-9654.657500</td>\n",
       "      <td>-17303.458900</td>\n",
       "      <td>-15078.892900</td>\n",
       "      <td>-16459.909900</td>\n",
       "      <td>-18591.029400</td>\n",
       "      <td>-19423.390000</td>\n",
       "      <td>-19082.195000</td>\n",
       "      <td>-6262.357500</td>\n",
       "      <td>-6138.800500</td>\n",
       "      <td>-9949.867500</td>\n",
       "      <td>-9654.657500</td>\n",
       "      <td>-7430.091500</td>\n",
       "      <td>-15344.276500</td>\n",
       "      <td>-10600.400100</td>\n",
       "      <td>-9585.418500</td>\n",
       "      <td>-13342.903500</td>\n",
       "      <td>-9949.867500</td>\n",
       "      <td>-7725.301500</td>\n",
       "      <td>-9654.657500</td>\n",
       "      <td>-8821.663900</td>\n",
       "      <td>-11705.349600</td>\n",
       "      <td>-3397.428500</td>\n",
       "      <td>-4456.393100</td>\n",
       "      <td>-5375.046000</td>\n",
       "      <td>10922.961900</td>\n",
       "      <td>9863.997400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>81.000000</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>139.000000</td>\n",
       "      <td>-39335.024000</td>\n",
       "      <td>14.474000</td>\n",
       "      <td>8073.000000</td>\n",
       "      <td>0.094000</td>\n",
       "      <td>-858.530000</td>\n",
       "      <td>27.916000</td>\n",
       "      <td>1.389127e+08</td>\n",
       "      <td>15.537500</td>\n",
       "      <td>14614.250000</td>\n",
       "      <td>23.320000</td>\n",
       "      <td>11755.380000</td>\n",
       "      <td>26.170000</td>\n",
       "      <td>-430.320000</td>\n",
       "      <td>18.690000</td>\n",
       "      <td>-1685.250000</td>\n",
       "      <td>28.090000</td>\n",
       "      <td>-4924.250000</td>\n",
       "      <td>28.120000</td>\n",
       "      <td>-8243.100000</td>\n",
       "      <td>27.950000</td>\n",
       "      <td>7249.960000</td>\n",
       "      <td>25.005000</td>\n",
       "      <td>5799.335000</td>\n",
       "      <td>24.815000</td>\n",
       "      <td>-2903.405000</td>\n",
       "      <td>42.070000</td>\n",
       "      <td>11813.880000</td>\n",
       "      <td>28.990000</td>\n",
       "      <td>6308.000000</td>\n",
       "      <td>26.760000</td>\n",
       "      <td>8407.020000</td>\n",
       "      <td>27.600000</td>\n",
       "      <td>-5799.335000</td>\n",
       "      <td>-7249.960000</td>\n",
       "      <td>-14257.213900</td>\n",
       "      <td>-12032.647900</td>\n",
       "      <td>-13505.864900</td>\n",
       "      <td>-12170.599400</td>\n",
       "      <td>-11755.380000</td>\n",
       "      <td>-14614.250000</td>\n",
       "      <td>-430.320000</td>\n",
       "      <td>-1640.876500</td>\n",
       "      <td>-5799.335000</td>\n",
       "      <td>-7249.960000</td>\n",
       "      <td>-5025.394000</td>\n",
       "      <td>-9025.446500</td>\n",
       "      <td>-6132.455100</td>\n",
       "      <td>-6539.173500</td>\n",
       "      <td>-4141.903500</td>\n",
       "      <td>-5799.335000</td>\n",
       "      <td>-3574.769000</td>\n",
       "      <td>-7249.960000</td>\n",
       "      <td>-5775.418900</td>\n",
       "      <td>-4037.339600</td>\n",
       "      <td>-992.731000</td>\n",
       "      <td>-305.860600</td>\n",
       "      <td>-877.122000</td>\n",
       "      <td>13327.659400</td>\n",
       "      <td>14014.529900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>114.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>1172.301000</td>\n",
       "      <td>196.000000</td>\n",
       "      <td>8367.375000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4700.000000</td>\n",
       "      <td>236.000000</td>\n",
       "      <td>1.939668e+08</td>\n",
       "      <td>211.000000</td>\n",
       "      <td>19082.195000</td>\n",
       "      <td>228.000000</td>\n",
       "      <td>19423.390000</td>\n",
       "      <td>229.590000</td>\n",
       "      <td>4561.017500</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>8501.250000</td>\n",
       "      <td>263.052500</td>\n",
       "      <td>1947.500000</td>\n",
       "      <td>251.000000</td>\n",
       "      <td>-1284.525000</td>\n",
       "      <td>235.500000</td>\n",
       "      <td>9654.657500</td>\n",
       "      <td>269.057500</td>\n",
       "      <td>9949.867500</td>\n",
       "      <td>232.250000</td>\n",
       "      <td>14141.572500</td>\n",
       "      <td>298.000000</td>\n",
       "      <td>14414.505000</td>\n",
       "      <td>284.000000</td>\n",
       "      <td>9053.995000</td>\n",
       "      <td>277.000000</td>\n",
       "      <td>13247.000000</td>\n",
       "      <td>259.275000</td>\n",
       "      <td>-2772.250000</td>\n",
       "      <td>-5414.787500</td>\n",
       "      <td>-11656.588900</td>\n",
       "      <td>-9432.022900</td>\n",
       "      <td>-10759.869900</td>\n",
       "      <td>-7330.619400</td>\n",
       "      <td>-5819.440000</td>\n",
       "      <td>-11068.100000</td>\n",
       "      <td>4561.017500</td>\n",
       "      <td>3917.653500</td>\n",
       "      <td>-2772.250000</td>\n",
       "      <td>-5414.787500</td>\n",
       "      <td>-3190.221500</td>\n",
       "      <td>-2066.871500</td>\n",
       "      <td>-2586.305100</td>\n",
       "      <td>-3938.548500</td>\n",
       "      <td>2729.846500</td>\n",
       "      <td>-2772.250000</td>\n",
       "      <td>-547.684000</td>\n",
       "      <td>-5414.787500</td>\n",
       "      <td>-3174.793900</td>\n",
       "      <td>1898.600400</td>\n",
       "      <td>842.441500</td>\n",
       "      <td>2721.224400</td>\n",
       "      <td>4681.408000</td>\n",
       "      <td>15162.831900</td>\n",
       "      <td>17041.614900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>177.000000</td>\n",
       "      <td>118.000000</td>\n",
       "      <td>295.000000</td>\n",
       "      <td>201512.000000</td>\n",
       "      <td>2003.000000</td>\n",
       "      <td>8794.553000</td>\n",
       "      <td>667.000000</td>\n",
       "      <td>31687.000000</td>\n",
       "      <td>2003.000000</td>\n",
       "      <td>2.952163e+08</td>\n",
       "      <td>2150.000000</td>\n",
       "      <td>40541.000000</td>\n",
       "      <td>2003.000000</td>\n",
       "      <td>55187.000000</td>\n",
       "      <td>2014.000000</td>\n",
       "      <td>11920.000000</td>\n",
       "      <td>2042.000000</td>\n",
       "      <td>52098.000000</td>\n",
       "      <td>2003.000000</td>\n",
       "      <td>28352.000000</td>\n",
       "      <td>2003.000000</td>\n",
       "      <td>31755.000000</td>\n",
       "      <td>2003.000000</td>\n",
       "      <td>27715.000000</td>\n",
       "      <td>2011.000000</td>\n",
       "      <td>31008.000000</td>\n",
       "      <td>2832.000000</td>\n",
       "      <td>77377.000000</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>23846.530000</td>\n",
       "      <td>2830.000000</td>\n",
       "      <td>21413.860000</td>\n",
       "      <td>2003.000000</td>\n",
       "      <td>24299.000000</td>\n",
       "      <td>2830.000000</td>\n",
       "      <td>4527.000000</td>\n",
       "      <td>2488.000000</td>\n",
       "      <td>-2224.563900</td>\n",
       "      <td>0.002100</td>\n",
       "      <td>1599.995100</td>\n",
       "      <td>3721.380600</td>\n",
       "      <td>7630.000000</td>\n",
       "      <td>3120.000000</td>\n",
       "      <td>11920.000000</td>\n",
       "      <td>30904.653500</td>\n",
       "      <td>4527.000000</td>\n",
       "      <td>2488.000000</td>\n",
       "      <td>4712.566000</td>\n",
       "      <td>30972.653500</td>\n",
       "      <td>11601.794900</td>\n",
       "      <td>5493.476500</td>\n",
       "      <td>29134.346500</td>\n",
       "      <td>4527.000000</td>\n",
       "      <td>6751.566000</td>\n",
       "      <td>2488.000000</td>\n",
       "      <td>6257.231100</td>\n",
       "      <td>15348.040400</td>\n",
       "      <td>8745.229000</td>\n",
       "      <td>10020.474400</td>\n",
       "      <td>31668.408000</td>\n",
       "      <td>23065.619400</td>\n",
       "      <td>24340.864900</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 N            Z            A    Mass_Excess  dMass_Excess  \\\n",
       "count  3436.000000  3436.000000  3436.000000    3436.000000   3436.000000   \n",
       "mean     82.034051    57.857392   139.891444  -24144.120957    123.588536   \n",
       "std      43.293558    27.809406    70.599410   56200.705700    197.547987   \n",
       "min       0.000000     0.000000     1.000000  -91652.853000      0.000000   \n",
       "25%      47.000000    36.000000    84.000000  -65400.443000      3.005750   \n",
       "50%      81.000000    58.000000   139.000000  -39335.024000     14.474000   \n",
       "75%     114.000000    80.000000   194.000000    1172.301000    196.000000   \n",
       "max     177.000000   118.000000   295.000000  201512.000000   2003.000000   \n",
       "\n",
       "       Binding_Energy  dBinding_Energy  B_Decay_Energy  dB_Decay_Energy  \\\n",
       "count     3436.000000      3436.000000     3141.000000      3141.000000   \n",
       "mean      7959.806728         1.838921     -100.991337       155.851106   \n",
       "std        738.982115        15.031735     8063.858254       239.079983   \n",
       "min      -2267.000000         0.000000   -28945.000000         0.000000   \n",
       "25%       7730.734250         0.024000    -5356.454000         6.406000   \n",
       "50%       8073.000000         0.094000     -858.530000        27.916000   \n",
       "75%       8367.375000         1.000000     4700.000000       236.000000   \n",
       "max       8794.553000       667.000000    31687.000000      2003.000000   \n",
       "\n",
       "       Atomic_Mass_Micro  dAtomic_Mass_Micro         S(2n)       dS(2n)  \\\n",
       "count       3.436000e+03         3436.000000   3199.000000  3199.000000   \n",
       "mean        1.398655e+08          132.654412  15464.510253   156.349187   \n",
       "std         7.063095e+07          212.043923   6550.042919   242.338186   \n",
       "min         1.007825e+06            0.000000  -3120.000000     0.000000   \n",
       "25%         8.392781e+07            3.226500  11068.100000     5.400000   \n",
       "50%         1.389127e+08           15.537500  14614.250000    23.320000   \n",
       "75%         1.939668e+08          211.000000  19082.195000   228.000000   \n",
       "max         2.952163e+08         2150.000000  40541.000000  2003.000000   \n",
       "\n",
       "              S(2p)       dS(2p)          Q(a)        dQ(a)        Q(2B-)  \\\n",
       "count   3081.000000  3081.000000   3298.000000  3298.000000   2848.000000   \n",
       "mean   13711.908945   153.876813  -1028.352902   141.749175   -158.406791   \n",
       "std    10078.915472   235.628998   6989.405614   233.060316  14319.652534   \n",
       "min    -7630.000000     0.000000 -25474.730000     0.000000 -37359.770000   \n",
       "25%     5819.440000     6.550000  -6262.357500     3.782500  -9937.682500   \n",
       "50%    11755.380000    26.170000   -430.320000    18.690000  -1685.250000   \n",
       "75%    19423.390000   229.590000   4561.017500   200.000000   8501.250000   \n",
       "max    55187.000000  2014.000000  11920.000000  2042.000000  52098.000000   \n",
       "\n",
       "           dQ(2B-)         Q(ep)       dQ(ep)        Q(B-n)      dQ(B-n)  \\\n",
       "count  2848.000000   2964.000000  2964.000000   3023.000000  3023.000000   \n",
       "mean    148.478968  -6755.747156   150.761589  -7807.666279   151.842233   \n",
       "std     217.688173  12278.480250   225.980065  10536.785128   229.821244   \n",
       "min       0.000000 -52959.000000     0.000000 -39622.000000     0.000000   \n",
       "25%       8.100000 -14125.250000     7.277500 -14561.930000     7.100000   \n",
       "50%      28.090000  -4924.250000    28.120000  -8243.100000    27.950000   \n",
       "75%     263.052500   1947.500000   251.000000  -1284.525000   235.500000   \n",
       "max    2003.000000  28352.000000  2003.000000  31755.000000  2003.000000   \n",
       "\n",
       "               S(n)        dS(n)          S(p)        dS(p)        Q(4B-)  \\\n",
       "count   3318.000000  3318.000000   3258.000000  3258.000000   2284.000000   \n",
       "mean    7755.557459   164.216263   6869.773398   160.008898   -324.475306   \n",
       "std     3631.746683   254.377651   5444.802214   250.538488  23373.457604   \n",
       "min    -2488.000000     0.000000  -4527.000000     0.000000 -59615.000000   \n",
       "25%     5414.787500     5.140000   2772.250000     5.842500 -17485.152500   \n",
       "50%     7249.960000    25.005000   5799.335000    24.815000  -2903.405000   \n",
       "75%     9654.657500   269.057500   9949.867500   232.250000  14141.572500   \n",
       "max    27715.000000  2011.000000  31008.000000  2832.000000  77377.000000   \n",
       "\n",
       "           dQ(4B-)        Q(d,a)      dQ(d,a)        Q(p,a)      dQ(p,a)  \\\n",
       "count  2284.000000   3367.000000  3367.000000   3331.000000  3331.000000   \n",
       "mean    162.191690  11414.314298   175.347868   5894.960498   169.043993   \n",
       "std     203.785478   3977.016875   264.596607   4615.611122   257.035502   \n",
       "min       0.140000  -4128.000000     0.000000 -13545.000000     0.000000   \n",
       "25%      11.670000   8767.635000     6.160000   3353.955000     5.900000   \n",
       "50%      42.070000  11813.880000    28.990000   6308.000000    26.760000   \n",
       "75%     298.000000  14414.505000   284.000000   9053.995000   277.000000   \n",
       "max    2019.000000  23846.530000  2830.000000  21413.860000  2003.000000   \n",
       "\n",
       "             Q(n,a)      dQ(n,a)        Q(g,p)        Q(g,n)       Q(g,pn)  \\\n",
       "count   3195.000000  3195.000000   3258.000000   3318.000000   3367.000000   \n",
       "mean    6792.835383   160.967815  -6869.773398  -7755.557459 -14656.779602   \n",
       "std     8215.124941   246.518545   5444.802214   3631.746683   3977.016875   \n",
       "min   -26083.000000     0.000000 -31008.000000 -27715.000000 -30199.093900   \n",
       "25%     1986.590000     6.190000  -9949.867500  -9654.657500 -17303.458900   \n",
       "50%     8407.020000    27.600000  -5799.335000  -7249.960000 -14257.213900   \n",
       "75%    13247.000000   259.275000  -2772.250000  -5414.787500 -11656.588900   \n",
       "max    24299.000000  2830.000000   4527.000000   2488.000000  -2224.563900   \n",
       "\n",
       "             Q(g,d)        Q(g,t)      Q(g,He3)       Q(g,2p)       Q(g,2n)  \\\n",
       "count   3367.000000   3331.000000   3195.000000   3081.000000   3199.000000   \n",
       "mean  -12432.213602 -13918.904402 -13784.784017 -13711.908945 -15464.510253   \n",
       "std     3977.016875   4615.611122   8215.124941  10078.915472   6550.042919   \n",
       "min   -27974.527900 -33358.864900 -46660.619400 -55187.000000 -40541.000000   \n",
       "25%   -15078.892900 -16459.909900 -18591.029400 -19423.390000 -19082.195000   \n",
       "50%   -12032.647900 -13505.864900 -12170.599400 -11755.380000 -14614.250000   \n",
       "75%    -9432.022900 -10759.869900  -7330.619400  -5819.440000 -11068.100000   \n",
       "max        0.002100   1599.995100   3721.380600   7630.000000   3120.000000   \n",
       "\n",
       "             Q(g,a)        Q(p,n)       Q(p,2p)       Q(p,pn)        Q(p,d)  \\\n",
       "count   3298.000000   3141.000000   3258.000000   3318.000000   3318.000000   \n",
       "mean   -1028.352902   -883.337837  -6869.773398  -7755.557459  -5530.991459   \n",
       "std     6989.405614   8063.858254   5444.802214   3631.746683   3631.746683   \n",
       "min   -25474.730000 -29727.346500 -31008.000000 -27715.000000 -25490.434000   \n",
       "25%    -6262.357500  -6138.800500  -9949.867500  -9654.657500  -7430.091500   \n",
       "50%     -430.320000  -1640.876500  -5799.335000  -7249.960000  -5025.394000   \n",
       "75%     4561.017500   3917.653500  -2772.250000  -5414.787500  -3190.221500   \n",
       "max    11920.000000  30904.653500   4527.000000   2488.000000   4712.566000   \n",
       "\n",
       "            Q(p,2n)        Q(p,t)      Q(p,3He)       Q(n,2p)       Q(n,np)  \\\n",
       "count   3023.000000   3199.000000   3367.000000   2964.000000   3258.000000   \n",
       "mean   -8590.012779  -6982.715353  -6938.739202  -5973.400656  -6869.773398   \n",
       "std    10536.785128   6550.042919   3977.016875  12278.480250   5444.802214   \n",
       "min   -40404.346500 -32059.205100 -22481.053500 -52176.653500 -31008.000000   \n",
       "25%   -15344.276500 -10600.400100  -9585.418500 -13342.903500  -9949.867500   \n",
       "50%    -9025.446500  -6132.455100  -6539.173500  -4141.903500  -5799.335000   \n",
       "75%    -2066.871500  -2586.305100  -3938.548500   2729.846500  -2772.250000   \n",
       "max    30972.653500  11601.794900   5493.476500  29134.346500   4527.000000   \n",
       "\n",
       "             Q(n,d)       Q(n,2n)        Q(n,t)      Q(n,3He)        Q(d,t)  \\\n",
       "count   3258.000000   3318.000000   3367.000000   3081.000000   3318.000000   \n",
       "mean   -4645.207398  -7755.557459  -6174.984602  -5993.868545  -1498.328459   \n",
       "std     5444.802214   3631.746683   3977.016875  10078.915472   3631.746683   \n",
       "min   -28783.434000 -27715.000000 -21717.298900 -47468.959600 -21457.771000   \n",
       "25%    -7725.301500  -9654.657500  -8821.663900 -11705.349600  -3397.428500   \n",
       "50%    -3574.769000  -7249.960000  -5775.418900  -4037.339600   -992.731000   \n",
       "75%     -547.684000  -5414.787500  -3174.793900   1898.600400    842.441500   \n",
       "max     6751.566000   2488.000000   6257.231100  15348.040400   8745.229000   \n",
       "\n",
       "           Q(d,3He)      Q(3He,t)      Q(3He,a)        Q(t,a)  \n",
       "count   3258.000000   3141.000000   3318.000000   3258.000000  \n",
       "mean   -1376.298998   -119.583337  12822.061941  12944.091502  \n",
       "std     5444.802214   8063.858254   3631.746683   5444.802214  \n",
       "min   -25514.525600 -28963.592000  -7137.380600 -11194.135100  \n",
       "25%    -4456.393100  -5375.046000  10922.961900   9863.997400  \n",
       "50%     -305.860600   -877.122000  13327.659400  14014.529900  \n",
       "75%     2721.224400   4681.408000  15162.831900  17041.614900  \n",
       "max    10020.474400  31668.408000  23065.619400  24340.864900  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# What is the minimum/maximum of the features in ame\n",
    "ame.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing some Features "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-23T20:06:46.523948Z",
     "start_time": "2021-02-23T20:06:46.518949Z"
    }
   },
   "outputs": [],
   "source": [
    "sns.set(style=\"white\", font_scale=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Binding Energy per Nucleon\n",
    "\n",
    "We can easily plot the binding energy per nucleon using `seaborn`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-23T20:07:12.173806Z",
     "start_time": "2021-02-23T20:07:10.206920Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(x=\"A\", y=\"Binding_Energy\", kind=\"line\", data=ame, height=8, aspect=1.5, ci=\"sd\")\n",
    "plt.xlabel(\"Mass Number (A)\")\n",
    "plt.ylabel(\"Binding Energy per Nucleon (eV)\")\n",
    "plt.savefig(os.path.join(fig_dir, \"AME_BE_per_A.png\"), bbox_inches='tight', dpi=500) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Packing Fraction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-23T20:09:44.953192Z",
     "start_time": "2021-02-23T20:09:44.949190Z"
    }
   },
   "outputs": [],
   "source": [
    "ame[\"packing_fraction\"] = ((ame.Atomic_Mass_Micro/1E6) - ame.A) / ame.A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-23T20:09:48.810252Z",
     "start_time": "2021-02-23T20:09:46.988159Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.relplot(x=\"A\", y=\"packing_fraction\", kind=\"line\", data=ame, height=8, aspect=1.5, ci=\"sd\")\n",
    "plt.xlabel(\"Mass Number (A)\")\n",
    "plt.ylabel(\"Packing Fraction\")\n",
    "g.axes[0][0].axhline(0, ls='--')\n",
    "plt.savefig(os.path.join(fig_dir, \"AME_packing_fraction.png\"), bbox_inches='tight', dpi=500) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Proton-Neutron Behaviour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-23T20:10:25.859056Z",
     "start_time": "2021-02-23T20:10:23.860786Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:matplotlib.axes._axes:*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2-D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1008x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,10))\n",
    "ame.plot(x=\"Z\", y=\"N\", kind='scatter', figsize=(14,10))\n",
    "plt.plot(ame.Z, ame.Z, linewidth=4, color=\"orange\")\n",
    "plt.xlabel(\"Protons (Z)\")\n",
    "plt.ylabel(\"Neutrons (N)\")\n",
    "plt.savefig(os.path.join(fig_dir, \"AME_Z_vs_N.png\"), bbox_inches='tight', dpi=500) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Original vs Imputed AME Dataset\n",
    "\n",
    "As mentioned in the loading data section of the documentation, the values for the imputed version of the AME dataset were obtained by linear interpolation. We can visualize the imputed values by overlapping both the AME dataset with and without NaN values. For example, let us visualize the Mass Excess value for natural uranium (remember that we needed natural data for EXFOR's natural target samples):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-23T20:12:41.274976Z",
     "start_time": "2021-02-23T20:12:41.065974Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Atomic Mass Number')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18,8))\n",
    "\n",
    "plt.scatter(ame_filled[ame_filled.Z == 92].sort_values(by=\"A\").A, \n",
    "            ame_filled[ame_filled.Z == 92].sort_values(by=\"A\").Mass_Excess)\n",
    "plt.scatter(ame[ame.Z == 92].sort_values(by=\"A\").A, \n",
    "            ame[ame.Z == 92].sort_values(by=\"A\").Mass_Excess)\n",
    "plt.ylabel(\"Mass Excess (keV)\")\n",
    "plt.xlabel(\"Atomic Mass Number\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can automate the creation of these plots:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-23T20:13:06.382394Z",
     "start_time": "2021-02-23T20:13:06.377393Z"
    }
   },
   "outputs": [],
   "source": [
    "def plot_comparison(protons, feature, ax=None):\n",
    "    if ax is None:\n",
    "        ax = plt.gca()\n",
    "    ax.scatter(ame_filled[ame_filled.Z == protons].sort_values(by=\"A\").A, \n",
    "             ame_filled[ame_filled.Z == protons].sort_values(by=\"A\")[feature])\n",
    "    ax.scatter(ame[ame.Z == protons].sort_values(by=\"A\").A, \n",
    "             ame[ame.Z == protons].sort_values(by=\"A\")[feature])\n",
    "    ax.set_ylabel(feature.replace(\"_\" ,\" \"))\n",
    "#     ax.set_xlabel(\"Atomic Mass Number\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the following plots, the blue points represent the imputed values either for a natural data point or an isotope for which a value was not reported. In some cases, these values are not applicable but imputation is necessary for compatibility with some ML models. Let us plot the Mass Excess, Binding Energy, Beta Decay Energy, and the Neutron Separation Energy, all in a subplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-23T20:15:23.621217Z",
     "start_time": "2021-02-23T20:15:18.960169Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1008 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# make figure with subplots\n",
    "f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, sharex=False, figsize=(25,14))\n",
    "plot_comparison(92, \"Mass_Excess\", ax1)\n",
    "plot_comparison(92, \"B_Decay_Energy\", ax2)\n",
    "plot_comparison(92, \"Binding_Energy\", ax3)\n",
    "plot_comparison(92, \"S(n)\", ax4)\n",
    "\n",
    "ax1.set_xlabel(\"Atomic Mass Number\")\n",
    "ax2.set_xlabel(\"Atomic Mass Number\")\n",
    "ax3.set_xlabel(\"Atomic Mass Number\")\n",
    "ax4.set_xlabel(\"Atomic Mass Number\")\n",
    "\n",
    "f.savefig(os.path.join(fig_dir, \"AME_NaN.png\"), bbox_inches='tight', dpi=500) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "While not perfect, it is better than not using the AME database at all. The AME database contains very useful information that a model can leverage to make better predictions."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}