diff --git a/metainfo.json b/metainfo.json
index 65ab829cd6f1c5a311693c74daaea15d6521d75c..41b6b76fd929f4a1562388e61302319c7bedbc8f 100644
--- a/metainfo.json
+++ b/metainfo.json
@@ -4,7 +4,7 @@
     "Ghiringhelli, Luca M."
   ],
   "email": "ghiringhelli@fhi-berlin.mpg.de",
-  "title": "An intoduction to support-vector machine for classification",
+  "title": "An introduction to support-vector machine for classification",
   "description": "In this tutorial...",
   "notebook_name": "svm_classification.ipynb",
   "url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-svm_classification",
diff --git a/svm_classification.ipynb b/svm_classification.ipynb
index 60301e4cab4f7e8910b7259e19b64e5bcbdc9b54..339eccebc03f604ea4292b39edbf8cb5d0ab9653 100644
--- a/svm_classification.ipynb
+++ b/svm_classification.ipynb
@@ -32,7 +32,7 @@
     "\n",
     "\n",
     "\n",
-    "# Intoduction\n",
+    "# Introduction\n",
     "\n",
     "The support vector machine is a generalized form of a classifier called the Maximal Margin Classifier(MMC). This classifier is a simple algorithm that tries to find a separating hyperplane in a p-dimensional feature space to classify the data points. Hyperplanes are middle borders that divide the feature space into different parts. Each data point that lies in each of these specified parts i.e. each side of the hyperplane is assigned to a different class. The major goal of MMC is to find a hyperplane that has the maximum margin. The main shortcoming of MMC is that this method is restricted to the data sets which are separable by a linear boundary. For this reason, MMC was extended to the non-separable and non-linear cases and a more general and robust method, the SVM, was developed which can be applied to a broader range of data sets. \n",
     "\n",
@@ -65,7 +65,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -75,27 +75,15 @@
     "from sklearn import svm\n",
     "from sklearn import metrics\n",
     "import pandas as pd\n",
-    "from itertools import combinations"
+    "from itertools import combinations\n",
+    "from mpl_toolkits.mplot3d import Axes3D"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 576x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "#define a hyperplane for two dimentions \n",
     "\n",
@@ -151,22 +139,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 576x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from sklearn.datasets import make_blobs, make_moons\n",
     "\n",
@@ -223,22 +198,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 576x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "\n",
     "# create data set\n",
@@ -313,24 +275,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {
     "scrolled": false
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 576x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "set1=np.concatenate((np.random.normal([1,1], 0.25, (100, 2)), np.random.normal([-1,1], 0.25, (100, 2))))\n",
     "#set1=np.random.normal([1,1], 0.25, (100, 2))\n",
@@ -382,24 +331,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {
     "scrolled": false
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 576x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "plt.plot(set1[:,0],set1[:,1],'mo',markersize=8)\n",
     "plt.plot(set2[:,0],set2[:,1],'co',markersize=8)\n",
@@ -451,400 +387,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {
     "scrolled": false
    },
-   "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>exp_label</th>\n",
-       "      <th>rA</th>\n",
-       "      <th>rB</th>\n",
-       "      <th>rX</th>\n",
-       "      <th>nA</th>\n",
-       "      <th>nB</th>\n",
-       "      <th>nX</th>\n",
-       "      <th>rA_rB_ratio</th>\n",
-       "      <th>rA_rX_ratio</th>\n",
-       "      <th>rB_rX_ratio</th>\n",
-       "      <th>...</th>\n",
-       "      <th>LUMO_B</th>\n",
-       "      <th>EA_B</th>\n",
-       "      <th>IP_B</th>\n",
-       "      <th>rS_X</th>\n",
-       "      <th>rP_X</th>\n",
-       "      <th>Z_X</th>\n",
-       "      <th>HOMO_X</th>\n",
-       "      <th>LUMO_X</th>\n",
-       "      <th>EA_X</th>\n",
-       "      <th>IP_X</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>material</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>AgBrO3</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.28</td>\n",
-       "      <td>0.31</td>\n",
-       "      <td>1.40</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>-2</td>\n",
-       "      <td>4.12903</td>\n",
-       "      <td>0.914286</td>\n",
-       "      <td>0.221429</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.055110</td>\n",
-       "      <td>-3.678151</td>\n",
-       "      <td>12.554312</td>\n",
-       "      <td>0.4608</td>\n",
-       "      <td>0.4333</td>\n",
-       "      <td>8</td>\n",
-       "      <td>-9.030485</td>\n",
-       "      <td>-0.068724</td>\n",
-       "      <td>-3.078804</td>\n",
-       "      <td>16.431366</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>AgCdBr3</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.28</td>\n",
-       "      <td>0.95</td>\n",
-       "      <td>1.96</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>-1</td>\n",
-       "      <td>1.34737</td>\n",
-       "      <td>0.653061</td>\n",
-       "      <td>0.484694</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-1.157118</td>\n",
-       "      <td>0.948262</td>\n",
-       "      <td>9.271930</td>\n",
-       "      <td>0.7514</td>\n",
-       "      <td>0.8834</td>\n",
-       "      <td>35</td>\n",
-       "      <td>-7.858439</td>\n",
-       "      <td>0.055110</td>\n",
-       "      <td>-3.678151</td>\n",
-       "      <td>12.554312</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>PbAgBr3</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.49</td>\n",
-       "      <td>1.15</td>\n",
-       "      <td>1.96</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-1</td>\n",
-       "      <td>1.29565</td>\n",
-       "      <td>0.760204</td>\n",
-       "      <td>0.586735</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-0.246293</td>\n",
-       "      <td>-1.475587</td>\n",
-       "      <td>7.755963</td>\n",
-       "      <td>0.7514</td>\n",
-       "      <td>0.8834</td>\n",
-       "      <td>35</td>\n",
-       "      <td>-7.858439</td>\n",
-       "      <td>0.055110</td>\n",
-       "      <td>-3.678151</td>\n",
-       "      <td>12.554312</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>AgCaCl3</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.28</td>\n",
-       "      <td>1.00</td>\n",
-       "      <td>1.81</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>-1</td>\n",
-       "      <td>1.28000</td>\n",
-       "      <td>0.707182</td>\n",
-       "      <td>0.552486</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-1.945848</td>\n",
-       "      <td>0.149995</td>\n",
-       "      <td>6.309260</td>\n",
-       "      <td>0.6785</td>\n",
-       "      <td>0.7567</td>\n",
-       "      <td>17</td>\n",
-       "      <td>-8.594666</td>\n",
-       "      <td>0.019724</td>\n",
-       "      <td>-3.935230</td>\n",
-       "      <td>13.876021</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>AgClO3</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.28</td>\n",
-       "      <td>0.12</td>\n",
-       "      <td>1.40</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>-2</td>\n",
-       "      <td>10.66670</td>\n",
-       "      <td>0.914286</td>\n",
-       "      <td>0.085714</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.019724</td>\n",
-       "      <td>-3.935230</td>\n",
-       "      <td>13.876021</td>\n",
-       "      <td>0.4608</td>\n",
-       "      <td>0.4333</td>\n",
-       "      <td>8</td>\n",
-       "      <td>-9.030485</td>\n",
-       "      <td>-0.068724</td>\n",
-       "      <td>-3.078804</td>\n",
-       "      <td>16.431366</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>RbUO3</th>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.72</td>\n",
-       "      <td>0.76</td>\n",
-       "      <td>1.40</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>-2</td>\n",
-       "      <td>2.26316</td>\n",
-       "      <td>1.228570</td>\n",
-       "      <td>0.542857</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-1.995273</td>\n",
-       "      <td>0.546862</td>\n",
-       "      <td>5.590258</td>\n",
-       "      <td>0.4608</td>\n",
-       "      <td>0.4333</td>\n",
-       "      <td>8</td>\n",
-       "      <td>-9.030485</td>\n",
-       "      <td>-0.068724</td>\n",
-       "      <td>-3.078804</td>\n",
-       "      <td>16.431366</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>SmTiO3</th>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.24</td>\n",
-       "      <td>0.67</td>\n",
-       "      <td>1.40</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>-2</td>\n",
-       "      <td>1.85075</td>\n",
-       "      <td>0.885714</td>\n",
-       "      <td>0.478571</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-4.219539</td>\n",
-       "      <td>-0.313899</td>\n",
-       "      <td>7.119307</td>\n",
-       "      <td>0.4608</td>\n",
-       "      <td>0.4333</td>\n",
-       "      <td>8</td>\n",
-       "      <td>-9.030485</td>\n",
-       "      <td>-0.068724</td>\n",
-       "      <td>-3.078804</td>\n",
-       "      <td>16.431366</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>SrTeO3</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.44</td>\n",
-       "      <td>0.97</td>\n",
-       "      <td>1.40</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>-2</td>\n",
-       "      <td>1.48454</td>\n",
-       "      <td>1.028570</td>\n",
-       "      <td>0.692857</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.193946</td>\n",
-       "      <td>-2.575489</td>\n",
-       "      <td>9.729526</td>\n",
-       "      <td>0.4608</td>\n",
-       "      <td>0.4333</td>\n",
-       "      <td>8</td>\n",
-       "      <td>-9.030485</td>\n",
-       "      <td>-0.068724</td>\n",
-       "      <td>-3.078804</td>\n",
-       "      <td>16.431366</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>SrTiO3</th>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.44</td>\n",
-       "      <td>0.60</td>\n",
-       "      <td>1.40</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>-2</td>\n",
-       "      <td>2.40000</td>\n",
-       "      <td>1.028570</td>\n",
-       "      <td>0.428571</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-4.219539</td>\n",
-       "      <td>-0.313899</td>\n",
-       "      <td>7.119307</td>\n",
-       "      <td>0.4608</td>\n",
-       "      <td>0.4333</td>\n",
-       "      <td>8</td>\n",
-       "      <td>-9.030485</td>\n",
-       "      <td>-0.068724</td>\n",
-       "      <td>-3.078804</td>\n",
-       "      <td>16.431366</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>YTmO3</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.08</td>\n",
-       "      <td>0.88</td>\n",
-       "      <td>1.40</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>-2</td>\n",
-       "      <td>1.22727</td>\n",
-       "      <td>0.771429</td>\n",
-       "      <td>0.628571</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-1.072406</td>\n",
-       "      <td>0.522244</td>\n",
-       "      <td>6.424662</td>\n",
-       "      <td>0.4608</td>\n",
-       "      <td>0.4333</td>\n",
-       "      <td>8</td>\n",
-       "      <td>-9.030485</td>\n",
-       "      <td>-0.068724</td>\n",
-       "      <td>-3.078804</td>\n",
-       "      <td>16.431366</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>576 rows × 31 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          exp_label    rA    rB    rX   nA  nB  nX  rA_rB_ratio  rA_rX_ratio  \\\n",
-       "material                                                                       \n",
-       "AgBrO3          0.0  1.28  0.31  1.40  1.0   5  -2      4.12903     0.914286   \n",
-       "AgCdBr3         0.0  1.28  0.95  1.96  1.0   2  -1      1.34737     0.653061   \n",
-       "PbAgBr3         0.0  1.49  1.15  1.96  2.0   1  -1      1.29565     0.760204   \n",
-       "AgCaCl3         0.0  1.28  1.00  1.81  1.0   2  -1      1.28000     0.707182   \n",
-       "AgClO3          0.0  1.28  0.12  1.40  1.0   5  -2     10.66670     0.914286   \n",
-       "...             ...   ...   ...   ...  ...  ..  ..          ...          ...   \n",
-       "RbUO3           1.0  1.72  0.76  1.40  1.0   5  -2      2.26316     1.228570   \n",
-       "SmTiO3          1.0  1.24  0.67  1.40  3.0   3  -2      1.85075     0.885714   \n",
-       "SrTeO3          0.0  1.44  0.97  1.40  2.0   4  -2      1.48454     1.028570   \n",
-       "SrTiO3          1.0  1.44  0.60  1.40  2.0   4  -2      2.40000     1.028570   \n",
-       "YTmO3           0.0  1.08  0.88  1.40  3.0   3  -2      1.22727     0.771429   \n",
-       "\n",
-       "          rB_rX_ratio  ...    LUMO_B      EA_B       IP_B    rS_X    rP_X  \\\n",
-       "material               ...                                                  \n",
-       "AgBrO3       0.221429  ...  0.055110 -3.678151  12.554312  0.4608  0.4333   \n",
-       "AgCdBr3      0.484694  ... -1.157118  0.948262   9.271930  0.7514  0.8834   \n",
-       "PbAgBr3      0.586735  ... -0.246293 -1.475587   7.755963  0.7514  0.8834   \n",
-       "AgCaCl3      0.552486  ... -1.945848  0.149995   6.309260  0.6785  0.7567   \n",
-       "AgClO3       0.085714  ...  0.019724 -3.935230  13.876021  0.4608  0.4333   \n",
-       "...               ...  ...       ...       ...        ...     ...     ...   \n",
-       "RbUO3        0.542857  ... -1.995273  0.546862   5.590258  0.4608  0.4333   \n",
-       "SmTiO3       0.478571  ... -4.219539 -0.313899   7.119307  0.4608  0.4333   \n",
-       "SrTeO3       0.692857  ...  0.193946 -2.575489   9.729526  0.4608  0.4333   \n",
-       "SrTiO3       0.428571  ... -4.219539 -0.313899   7.119307  0.4608  0.4333   \n",
-       "YTmO3        0.628571  ... -1.072406  0.522244   6.424662  0.4608  0.4333   \n",
-       "\n",
-       "          Z_X    HOMO_X    LUMO_X      EA_X       IP_X  \n",
-       "material                                                \n",
-       "AgBrO3      8 -9.030485 -0.068724 -3.078804  16.431366  \n",
-       "AgCdBr3    35 -7.858439  0.055110 -3.678151  12.554312  \n",
-       "PbAgBr3    35 -7.858439  0.055110 -3.678151  12.554312  \n",
-       "AgCaCl3    17 -8.594666  0.019724 -3.935230  13.876021  \n",
-       "AgClO3      8 -9.030485 -0.068724 -3.078804  16.431366  \n",
-       "...       ...       ...       ...       ...        ...  \n",
-       "RbUO3       8 -9.030485 -0.068724 -3.078804  16.431366  \n",
-       "SmTiO3      8 -9.030485 -0.068724 -3.078804  16.431366  \n",
-       "SrTeO3      8 -9.030485 -0.068724 -3.078804  16.431366  \n",
-       "SrTiO3      8 -9.030485 -0.068724 -3.078804  16.431366  \n",
-       "YTmO3       8 -9.030485 -0.068724 -3.078804  16.431366  \n",
-       "\n",
-       "[576 rows x 31 columns]"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "#load data\n",
     "df = pd.read_csv(\"data/svm_classification/data_perovskite.csv\", index_col=0)\n",
@@ -860,7 +407,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -875,131 +422,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {
     "scrolled": false
    },
-   "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>Features</th>\n",
-       "      <th>Training Accuracy</th>\n",
-       "      <th>Test Accuracy</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>(rA, rB)</td>\n",
-       "      <td>0.843818</td>\n",
-       "      <td>0.878261</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>(rA, rX)</td>\n",
-       "      <td>0.791757</td>\n",
-       "      <td>0.782609</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>(rA, nA)</td>\n",
-       "      <td>0.713666</td>\n",
-       "      <td>0.626087</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>(rA, nB)</td>\n",
-       "      <td>0.746204</td>\n",
-       "      <td>0.660870</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>(rA, nX)</td>\n",
-       "      <td>0.668113</td>\n",
-       "      <td>0.634783</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>430</th>\n",
-       "      <td>(HOMO_X, EA_X)</td>\n",
-       "      <td>0.687636</td>\n",
-       "      <td>0.669565</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>431</th>\n",
-       "      <td>(HOMO_X, IP_X)</td>\n",
-       "      <td>0.687636</td>\n",
-       "      <td>0.669565</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>432</th>\n",
-       "      <td>(LUMO_X, EA_X)</td>\n",
-       "      <td>0.687636</td>\n",
-       "      <td>0.669565</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>433</th>\n",
-       "      <td>(LUMO_X, IP_X)</td>\n",
-       "      <td>0.687636</td>\n",
-       "      <td>0.669565</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>434</th>\n",
-       "      <td>(EA_X, IP_X)</td>\n",
-       "      <td>0.687636</td>\n",
-       "      <td>0.669565</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>435 rows × 3 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "           Features  Training Accuracy  Test Accuracy\n",
-       "0          (rA, rB)           0.843818       0.878261\n",
-       "1          (rA, rX)           0.791757       0.782609\n",
-       "2          (rA, nA)           0.713666       0.626087\n",
-       "3          (rA, nB)           0.746204       0.660870\n",
-       "4          (rA, nX)           0.668113       0.634783\n",
-       "..              ...                ...            ...\n",
-       "430  (HOMO_X, EA_X)           0.687636       0.669565\n",
-       "431  (HOMO_X, IP_X)           0.687636       0.669565\n",
-       "432  (LUMO_X, EA_X)           0.687636       0.669565\n",
-       "433  (LUMO_X, IP_X)           0.687636       0.669565\n",
-       "434    (EA_X, IP_X)           0.687636       0.669565\n",
-       "\n",
-       "[435 rows x 3 columns]"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "\n",
     "n=2  #dimension \n",
@@ -1035,35 +462,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {
     "scrolled": false
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The 1st combination has the highest accuracy (training accuracy * test accuracy) with the following features :\n",
-      " ('rA', 'rB') \n",
-      "\n",
-      "SVM highest accuracy for the training set: 0.843818.\n",
-      "SVM highest accuracy for the test set: 0.878261.\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 576x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "\n",
     "product_list=[accuracy_training[i]*accuracy_test[i] for i in range(len(accuracy_training))]  \n",
@@ -1132,129 +535,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "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>Features</th>\n",
-       "      <th>Training Accuracy</th>\n",
-       "      <th>Test Accuracy</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>(rA, rB, rX)</td>\n",
-       "      <td>0.930586</td>\n",
-       "      <td>0.904348</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>(rA, rB, nA)</td>\n",
-       "      <td>0.798265</td>\n",
-       "      <td>0.834783</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>(rA, rB, nB)</td>\n",
-       "      <td>0.793926</td>\n",
-       "      <td>0.773913</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>(rA, rB, nX)</td>\n",
-       "      <td>0.776573</td>\n",
-       "      <td>0.721739</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>(rA, rB, rA_rB_ratio)</td>\n",
-       "      <td>0.772234</td>\n",
-       "      <td>0.808696</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4055</th>\n",
-       "      <td>(Z_X, EA_X, IP_X)</td>\n",
-       "      <td>0.687636</td>\n",
-       "      <td>0.669565</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4056</th>\n",
-       "      <td>(HOMO_X, LUMO_X, EA_X)</td>\n",
-       "      <td>0.687636</td>\n",
-       "      <td>0.669565</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4057</th>\n",
-       "      <td>(HOMO_X, LUMO_X, IP_X)</td>\n",
-       "      <td>0.687636</td>\n",
-       "      <td>0.669565</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4058</th>\n",
-       "      <td>(HOMO_X, EA_X, IP_X)</td>\n",
-       "      <td>0.687636</td>\n",
-       "      <td>0.669565</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4059</th>\n",
-       "      <td>(LUMO_X, EA_X, IP_X)</td>\n",
-       "      <td>0.687636</td>\n",
-       "      <td>0.669565</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>4060 rows × 3 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                    Features  Training Accuracy  Test Accuracy\n",
-       "0               (rA, rB, rX)           0.930586       0.904348\n",
-       "1               (rA, rB, nA)           0.798265       0.834783\n",
-       "2               (rA, rB, nB)           0.793926       0.773913\n",
-       "3               (rA, rB, nX)           0.776573       0.721739\n",
-       "4      (rA, rB, rA_rB_ratio)           0.772234       0.808696\n",
-       "...                      ...                ...            ...\n",
-       "4055       (Z_X, EA_X, IP_X)           0.687636       0.669565\n",
-       "4056  (HOMO_X, LUMO_X, EA_X)           0.687636       0.669565\n",
-       "4057  (HOMO_X, LUMO_X, IP_X)           0.687636       0.669565\n",
-       "4058    (HOMO_X, EA_X, IP_X)           0.687636       0.669565\n",
-       "4059    (LUMO_X, EA_X, IP_X)           0.687636       0.669565\n",
-       "\n",
-       "[4060 rows x 3 columns]"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "\n",
     "n=3  #dimension \n",
@@ -1287,991 +570,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The 1st combination has the highest accuracy (training accuracy * test accuracy) with the following features :\n",
-      " ('rA', 'rB', 'rX') \n",
-      "\n",
-      "SVM highest accuracy for the training set: 0.930586.\n",
-      "SVM highest accuracy for the test set: 0.904348.\n"
-     ]
-    },
-    {
-     "data": {
-      "application/javascript": [
-       "/* Put everything inside the global mpl namespace */\n",
-       "/* global mpl */\n",
-       "window.mpl = {};\n",
-       "\n",
-       "mpl.get_websocket_type = function () {\n",
-       "    if (typeof WebSocket !== 'undefined') {\n",
-       "        return WebSocket;\n",
-       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
-       "        return MozWebSocket;\n",
-       "    } else {\n",
-       "        alert(\n",
-       "            'Your browser does not have WebSocket support. ' +\n",
-       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
-       "                'Firefox 4 and 5 are also supported but you ' +\n",
-       "                'have to enable WebSockets in about:config.'\n",
-       "        );\n",
-       "    }\n",
-       "};\n",
-       "\n",
-       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
-       "    this.id = figure_id;\n",
-       "\n",
-       "    this.ws = websocket;\n",
-       "\n",
-       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
-       "\n",
-       "    if (!this.supports_binary) {\n",
-       "        var warnings = document.getElementById('mpl-warnings');\n",
-       "        if (warnings) {\n",
-       "            warnings.style.display = 'block';\n",
-       "            warnings.textContent =\n",
-       "                'This browser does not support binary websocket messages. ' +\n",
-       "                'Performance may be slow.';\n",
-       "        }\n",
-       "    }\n",
-       "\n",
-       "    this.imageObj = new Image();\n",
-       "\n",
-       "    this.context = undefined;\n",
-       "    this.message = undefined;\n",
-       "    this.canvas = undefined;\n",
-       "    this.rubberband_canvas = undefined;\n",
-       "    this.rubberband_context = undefined;\n",
-       "    this.format_dropdown = undefined;\n",
-       "\n",
-       "    this.image_mode = 'full';\n",
-       "\n",
-       "    this.root = document.createElement('div');\n",
-       "    this.root.setAttribute('style', 'display: inline-block');\n",
-       "    this._root_extra_style(this.root);\n",
-       "\n",
-       "    parent_element.appendChild(this.root);\n",
-       "\n",
-       "    this._init_header(this);\n",
-       "    this._init_canvas(this);\n",
-       "    this._init_toolbar(this);\n",
-       "\n",
-       "    var fig = this;\n",
-       "\n",
-       "    this.waiting = false;\n",
-       "\n",
-       "    this.ws.onopen = function () {\n",
-       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
-       "        fig.send_message('send_image_mode', {});\n",
-       "        if (fig.ratio !== 1) {\n",
-       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
-       "        }\n",
-       "        fig.send_message('refresh', {});\n",
-       "    };\n",
-       "\n",
-       "    this.imageObj.onload = function () {\n",
-       "        if (fig.image_mode === 'full') {\n",
-       "            // Full images could contain transparency (where diff images\n",
-       "            // almost always do), so we need to clear the canvas so that\n",
-       "            // there is no ghosting.\n",
-       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
-       "        }\n",
-       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
-       "    };\n",
-       "\n",
-       "    this.imageObj.onunload = function () {\n",
-       "        fig.ws.close();\n",
-       "    };\n",
-       "\n",
-       "    this.ws.onmessage = this._make_on_message_function(this);\n",
-       "\n",
-       "    this.ondownload = ondownload;\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype._init_header = function () {\n",
-       "    var titlebar = document.createElement('div');\n",
-       "    titlebar.classList =\n",
-       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
-       "    var titletext = document.createElement('div');\n",
-       "    titletext.classList = 'ui-dialog-title';\n",
-       "    titletext.setAttribute(\n",
-       "        'style',\n",
-       "        'width: 100%; text-align: center; padding: 3px;'\n",
-       "    );\n",
-       "    titlebar.appendChild(titletext);\n",
-       "    this.root.appendChild(titlebar);\n",
-       "    this.header = titletext;\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
-       "\n",
-       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
-       "\n",
-       "mpl.figure.prototype._init_canvas = function () {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
-       "    canvas_div.setAttribute(\n",
-       "        'style',\n",
-       "        'border: 1px solid #ddd;' +\n",
-       "            'box-sizing: content-box;' +\n",
-       "            'clear: both;' +\n",
-       "            'min-height: 1px;' +\n",
-       "            'min-width: 1px;' +\n",
-       "            'outline: 0;' +\n",
-       "            'overflow: hidden;' +\n",
-       "            'position: relative;' +\n",
-       "            'resize: both;'\n",
-       "    );\n",
-       "\n",
-       "    function on_keyboard_event_closure(name) {\n",
-       "        return function (event) {\n",
-       "            return fig.key_event(event, name);\n",
-       "        };\n",
-       "    }\n",
-       "\n",
-       "    canvas_div.addEventListener(\n",
-       "        'keydown',\n",
-       "        on_keyboard_event_closure('key_press')\n",
-       "    );\n",
-       "    canvas_div.addEventListener(\n",
-       "        'keyup',\n",
-       "        on_keyboard_event_closure('key_release')\n",
-       "    );\n",
-       "\n",
-       "    this._canvas_extra_style(canvas_div);\n",
-       "    this.root.appendChild(canvas_div);\n",
-       "\n",
-       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
-       "    canvas.classList.add('mpl-canvas');\n",
-       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
-       "\n",
-       "    this.context = canvas.getContext('2d');\n",
-       "\n",
-       "    var backingStore =\n",
-       "        this.context.backingStorePixelRatio ||\n",
-       "        this.context.webkitBackingStorePixelRatio ||\n",
-       "        this.context.mozBackingStorePixelRatio ||\n",
-       "        this.context.msBackingStorePixelRatio ||\n",
-       "        this.context.oBackingStorePixelRatio ||\n",
-       "        this.context.backingStorePixelRatio ||\n",
-       "        1;\n",
-       "\n",
-       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
-       "\n",
-       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
-       "        'canvas'\n",
-       "    ));\n",
-       "    rubberband_canvas.setAttribute(\n",
-       "        'style',\n",
-       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
-       "    );\n",
-       "\n",
-       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
-       "    if (this.ResizeObserver === undefined) {\n",
-       "        if (window.ResizeObserver !== undefined) {\n",
-       "            this.ResizeObserver = window.ResizeObserver;\n",
-       "        } else {\n",
-       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
-       "            this.ResizeObserver = obs.ResizeObserver;\n",
-       "        }\n",
-       "    }\n",
-       "\n",
-       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
-       "        var nentries = entries.length;\n",
-       "        for (var i = 0; i < nentries; i++) {\n",
-       "            var entry = entries[i];\n",
-       "            var width, height;\n",
-       "            if (entry.contentBoxSize) {\n",
-       "                if (entry.contentBoxSize instanceof Array) {\n",
-       "                    // Chrome 84 implements new version of spec.\n",
-       "                    width = entry.contentBoxSize[0].inlineSize;\n",
-       "                    height = entry.contentBoxSize[0].blockSize;\n",
-       "                } else {\n",
-       "                    // Firefox implements old version of spec.\n",
-       "                    width = entry.contentBoxSize.inlineSize;\n",
-       "                    height = entry.contentBoxSize.blockSize;\n",
-       "                }\n",
-       "            } else {\n",
-       "                // Chrome <84 implements even older version of spec.\n",
-       "                width = entry.contentRect.width;\n",
-       "                height = entry.contentRect.height;\n",
-       "            }\n",
-       "\n",
-       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
-       "            // the canvas container.\n",
-       "            if (entry.devicePixelContentBoxSize) {\n",
-       "                // Chrome 84 implements new version of spec.\n",
-       "                canvas.setAttribute(\n",
-       "                    'width',\n",
-       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
-       "                );\n",
-       "                canvas.setAttribute(\n",
-       "                    'height',\n",
-       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
-       "                );\n",
-       "            } else {\n",
-       "                canvas.setAttribute('width', width * fig.ratio);\n",
-       "                canvas.setAttribute('height', height * fig.ratio);\n",
-       "            }\n",
-       "            canvas.setAttribute(\n",
-       "                'style',\n",
-       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
-       "            );\n",
-       "\n",
-       "            rubberband_canvas.setAttribute('width', width);\n",
-       "            rubberband_canvas.setAttribute('height', height);\n",
-       "\n",
-       "            // And update the size in Python. We ignore the initial 0/0 size\n",
-       "            // that occurs as the element is placed into the DOM, which should\n",
-       "            // otherwise not happen due to the minimum size styling.\n",
-       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
-       "                fig.request_resize(width, height);\n",
-       "            }\n",
-       "        }\n",
-       "    });\n",
-       "    this.resizeObserverInstance.observe(canvas_div);\n",
-       "\n",
-       "    function on_mouse_event_closure(name) {\n",
-       "        return function (event) {\n",
-       "            return fig.mouse_event(event, name);\n",
-       "        };\n",
-       "    }\n",
-       "\n",
-       "    rubberband_canvas.addEventListener(\n",
-       "        'mousedown',\n",
-       "        on_mouse_event_closure('button_press')\n",
-       "    );\n",
-       "    rubberband_canvas.addEventListener(\n",
-       "        'mouseup',\n",
-       "        on_mouse_event_closure('button_release')\n",
-       "    );\n",
-       "    // Throttle sequential mouse events to 1 every 20ms.\n",
-       "    rubberband_canvas.addEventListener(\n",
-       "        'mousemove',\n",
-       "        on_mouse_event_closure('motion_notify')\n",
-       "    );\n",
-       "\n",
-       "    rubberband_canvas.addEventListener(\n",
-       "        'mouseenter',\n",
-       "        on_mouse_event_closure('figure_enter')\n",
-       "    );\n",
-       "    rubberband_canvas.addEventListener(\n",
-       "        'mouseleave',\n",
-       "        on_mouse_event_closure('figure_leave')\n",
-       "    );\n",
-       "\n",
-       "    canvas_div.addEventListener('wheel', function (event) {\n",
-       "        if (event.deltaY < 0) {\n",
-       "            event.step = 1;\n",
-       "        } else {\n",
-       "            event.step = -1;\n",
-       "        }\n",
-       "        on_mouse_event_closure('scroll')(event);\n",
-       "    });\n",
-       "\n",
-       "    canvas_div.appendChild(canvas);\n",
-       "    canvas_div.appendChild(rubberband_canvas);\n",
-       "\n",
-       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
-       "    this.rubberband_context.strokeStyle = '#000000';\n",
-       "\n",
-       "    this._resize_canvas = function (width, height, forward) {\n",
-       "        if (forward) {\n",
-       "            canvas_div.style.width = width + 'px';\n",
-       "            canvas_div.style.height = height + 'px';\n",
-       "        }\n",
-       "    };\n",
-       "\n",
-       "    // Disable right mouse context menu.\n",
-       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
-       "        event.preventDefault();\n",
-       "        return false;\n",
-       "    });\n",
-       "\n",
-       "    function set_focus() {\n",
-       "        canvas.focus();\n",
-       "        canvas_div.focus();\n",
-       "    }\n",
-       "\n",
-       "    window.setTimeout(set_focus, 100);\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype._init_toolbar = function () {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var toolbar = document.createElement('div');\n",
-       "    toolbar.classList = 'mpl-toolbar';\n",
-       "    this.root.appendChild(toolbar);\n",
-       "\n",
-       "    function on_click_closure(name) {\n",
-       "        return function (_event) {\n",
-       "            return fig.toolbar_button_onclick(name);\n",
-       "        };\n",
-       "    }\n",
-       "\n",
-       "    function on_mouseover_closure(tooltip) {\n",
-       "        return function (event) {\n",
-       "            if (!event.currentTarget.disabled) {\n",
-       "                return fig.toolbar_button_onmouseover(tooltip);\n",
-       "            }\n",
-       "        };\n",
-       "    }\n",
-       "\n",
-       "    fig.buttons = {};\n",
-       "    var buttonGroup = document.createElement('div');\n",
-       "    buttonGroup.classList = 'mpl-button-group';\n",
-       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
-       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
-       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
-       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
-       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
-       "\n",
-       "        if (!name) {\n",
-       "            /* Instead of a spacer, we start a new button group. */\n",
-       "            if (buttonGroup.hasChildNodes()) {\n",
-       "                toolbar.appendChild(buttonGroup);\n",
-       "            }\n",
-       "            buttonGroup = document.createElement('div');\n",
-       "            buttonGroup.classList = 'mpl-button-group';\n",
-       "            continue;\n",
-       "        }\n",
-       "\n",
-       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
-       "        button.classList = 'mpl-widget';\n",
-       "        button.setAttribute('role', 'button');\n",
-       "        button.setAttribute('aria-disabled', 'false');\n",
-       "        button.addEventListener('click', on_click_closure(method_name));\n",
-       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
-       "\n",
-       "        var icon_img = document.createElement('img');\n",
-       "        icon_img.src = '_images/' + image + '.png';\n",
-       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
-       "        icon_img.alt = tooltip;\n",
-       "        button.appendChild(icon_img);\n",
-       "\n",
-       "        buttonGroup.appendChild(button);\n",
-       "    }\n",
-       "\n",
-       "    if (buttonGroup.hasChildNodes()) {\n",
-       "        toolbar.appendChild(buttonGroup);\n",
-       "    }\n",
-       "\n",
-       "    var fmt_picker = document.createElement('select');\n",
-       "    fmt_picker.classList = 'mpl-widget';\n",
-       "    toolbar.appendChild(fmt_picker);\n",
-       "    this.format_dropdown = fmt_picker;\n",
-       "\n",
-       "    for (var ind in mpl.extensions) {\n",
-       "        var fmt = mpl.extensions[ind];\n",
-       "        var option = document.createElement('option');\n",
-       "        option.selected = fmt === mpl.default_extension;\n",
-       "        option.innerHTML = fmt;\n",
-       "        fmt_picker.appendChild(option);\n",
-       "    }\n",
-       "\n",
-       "    var status_bar = document.createElement('span');\n",
-       "    status_bar.classList = 'mpl-message';\n",
-       "    toolbar.appendChild(status_bar);\n",
-       "    this.message = status_bar;\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
-       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
-       "    // which will in turn request a refresh of the image.\n",
-       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.send_message = function (type, properties) {\n",
-       "    properties['type'] = type;\n",
-       "    properties['figure_id'] = this.id;\n",
-       "    this.ws.send(JSON.stringify(properties));\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.send_draw_message = function () {\n",
-       "    if (!this.waiting) {\n",
-       "        this.waiting = true;\n",
-       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
-       "    }\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
-       "    var format_dropdown = fig.format_dropdown;\n",
-       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
-       "    fig.ondownload(fig, format);\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
-       "    var size = msg['size'];\n",
-       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
-       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
-       "        fig.send_message('refresh', {});\n",
-       "    }\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
-       "    var x0 = msg['x0'] / fig.ratio;\n",
-       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
-       "    var x1 = msg['x1'] / fig.ratio;\n",
-       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
-       "    x0 = Math.floor(x0) + 0.5;\n",
-       "    y0 = Math.floor(y0) + 0.5;\n",
-       "    x1 = Math.floor(x1) + 0.5;\n",
-       "    y1 = Math.floor(y1) + 0.5;\n",
-       "    var min_x = Math.min(x0, x1);\n",
-       "    var min_y = Math.min(y0, y1);\n",
-       "    var width = Math.abs(x1 - x0);\n",
-       "    var height = Math.abs(y1 - y0);\n",
-       "\n",
-       "    fig.rubberband_context.clearRect(\n",
-       "        0,\n",
-       "        0,\n",
-       "        fig.canvas.width / fig.ratio,\n",
-       "        fig.canvas.height / fig.ratio\n",
-       "    );\n",
-       "\n",
-       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
-       "    // Updates the figure title.\n",
-       "    fig.header.textContent = msg['label'];\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
-       "    var cursor = msg['cursor'];\n",
-       "    switch (cursor) {\n",
-       "        case 0:\n",
-       "            cursor = 'pointer';\n",
-       "            break;\n",
-       "        case 1:\n",
-       "            cursor = 'default';\n",
-       "            break;\n",
-       "        case 2:\n",
-       "            cursor = 'crosshair';\n",
-       "            break;\n",
-       "        case 3:\n",
-       "            cursor = 'move';\n",
-       "            break;\n",
-       "    }\n",
-       "    fig.rubberband_canvas.style.cursor = cursor;\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
-       "    fig.message.textContent = msg['message'];\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
-       "    // Request the server to send over a new figure.\n",
-       "    fig.send_draw_message();\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
-       "    fig.image_mode = msg['mode'];\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
-       "    for (var key in msg) {\n",
-       "        if (!(key in fig.buttons)) {\n",
-       "            continue;\n",
-       "        }\n",
-       "        fig.buttons[key].disabled = !msg[key];\n",
-       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
-       "    }\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
-       "    if (msg['mode'] === 'PAN') {\n",
-       "        fig.buttons['Pan'].classList.add('active');\n",
-       "        fig.buttons['Zoom'].classList.remove('active');\n",
-       "    } else if (msg['mode'] === 'ZOOM') {\n",
-       "        fig.buttons['Pan'].classList.remove('active');\n",
-       "        fig.buttons['Zoom'].classList.add('active');\n",
-       "    } else {\n",
-       "        fig.buttons['Pan'].classList.remove('active');\n",
-       "        fig.buttons['Zoom'].classList.remove('active');\n",
-       "    }\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.updated_canvas_event = function () {\n",
-       "    // Called whenever the canvas gets updated.\n",
-       "    this.send_message('ack', {});\n",
-       "};\n",
-       "\n",
-       "// A function to construct a web socket function for onmessage handling.\n",
-       "// Called in the figure constructor.\n",
-       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
-       "    return function socket_on_message(evt) {\n",
-       "        if (evt.data instanceof Blob) {\n",
-       "            /* FIXME: We get \"Resource interpreted as Image but\n",
-       "             * transferred with MIME type text/plain:\" errors on\n",
-       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
-       "             * to be part of the websocket stream */\n",
-       "            evt.data.type = 'image/png';\n",
-       "\n",
-       "            /* Free the memory for the previous frames */\n",
-       "            if (fig.imageObj.src) {\n",
-       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
-       "                    fig.imageObj.src\n",
-       "                );\n",
-       "            }\n",
-       "\n",
-       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
-       "                evt.data\n",
-       "            );\n",
-       "            fig.updated_canvas_event();\n",
-       "            fig.waiting = false;\n",
-       "            return;\n",
-       "        } else if (\n",
-       "            typeof evt.data === 'string' &&\n",
-       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
-       "        ) {\n",
-       "            fig.imageObj.src = evt.data;\n",
-       "            fig.updated_canvas_event();\n",
-       "            fig.waiting = false;\n",
-       "            return;\n",
-       "        }\n",
-       "\n",
-       "        var msg = JSON.parse(evt.data);\n",
-       "        var msg_type = msg['type'];\n",
-       "\n",
-       "        // Call the  \"handle_{type}\" callback, which takes\n",
-       "        // the figure and JSON message as its only arguments.\n",
-       "        try {\n",
-       "            var callback = fig['handle_' + msg_type];\n",
-       "        } catch (e) {\n",
-       "            console.log(\n",
-       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
-       "                msg\n",
-       "            );\n",
-       "            return;\n",
-       "        }\n",
-       "\n",
-       "        if (callback) {\n",
-       "            try {\n",
-       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
-       "                callback(fig, msg);\n",
-       "            } catch (e) {\n",
-       "                console.log(\n",
-       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
-       "                    e,\n",
-       "                    e.stack,\n",
-       "                    msg\n",
-       "                );\n",
-       "            }\n",
-       "        }\n",
-       "    };\n",
-       "};\n",
-       "\n",
-       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
-       "mpl.findpos = function (e) {\n",
-       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
-       "    var targ;\n",
-       "    if (!e) {\n",
-       "        e = window.event;\n",
-       "    }\n",
-       "    if (e.target) {\n",
-       "        targ = e.target;\n",
-       "    } else if (e.srcElement) {\n",
-       "        targ = e.srcElement;\n",
-       "    }\n",
-       "    if (targ.nodeType === 3) {\n",
-       "        // defeat Safari bug\n",
-       "        targ = targ.parentNode;\n",
-       "    }\n",
-       "\n",
-       "    // pageX,Y are the mouse positions relative to the document\n",
-       "    var boundingRect = targ.getBoundingClientRect();\n",
-       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
-       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
-       "\n",
-       "    return { x: x, y: y };\n",
-       "};\n",
-       "\n",
-       "/*\n",
-       " * return a copy of an object with only non-object keys\n",
-       " * we need this to avoid circular references\n",
-       " * http://stackoverflow.com/a/24161582/3208463\n",
-       " */\n",
-       "function simpleKeys(original) {\n",
-       "    return Object.keys(original).reduce(function (obj, key) {\n",
-       "        if (typeof original[key] !== 'object') {\n",
-       "            obj[key] = original[key];\n",
-       "        }\n",
-       "        return obj;\n",
-       "    }, {});\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
-       "    var canvas_pos = mpl.findpos(event);\n",
-       "\n",
-       "    if (name === 'button_press') {\n",
-       "        this.canvas.focus();\n",
-       "        this.canvas_div.focus();\n",
-       "    }\n",
-       "\n",
-       "    var x = canvas_pos.x * this.ratio;\n",
-       "    var y = canvas_pos.y * this.ratio;\n",
-       "\n",
-       "    this.send_message(name, {\n",
-       "        x: x,\n",
-       "        y: y,\n",
-       "        button: event.button,\n",
-       "        step: event.step,\n",
-       "        guiEvent: simpleKeys(event),\n",
-       "    });\n",
-       "\n",
-       "    /* This prevents the web browser from automatically changing to\n",
-       "     * the text insertion cursor when the button is pressed.  We want\n",
-       "     * to control all of the cursor setting manually through the\n",
-       "     * 'cursor' event from matplotlib */\n",
-       "    event.preventDefault();\n",
-       "    return false;\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
-       "    // Handle any extra behaviour associated with a key event\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.key_event = function (event, name) {\n",
-       "    // Prevent repeat events\n",
-       "    if (name === 'key_press') {\n",
-       "        if (event.which === this._key) {\n",
-       "            return;\n",
-       "        } else {\n",
-       "            this._key = event.which;\n",
-       "        }\n",
-       "    }\n",
-       "    if (name === 'key_release') {\n",
-       "        this._key = null;\n",
-       "    }\n",
-       "\n",
-       "    var value = '';\n",
-       "    if (event.ctrlKey && event.which !== 17) {\n",
-       "        value += 'ctrl+';\n",
-       "    }\n",
-       "    if (event.altKey && event.which !== 18) {\n",
-       "        value += 'alt+';\n",
-       "    }\n",
-       "    if (event.shiftKey && event.which !== 16) {\n",
-       "        value += 'shift+';\n",
-       "    }\n",
-       "\n",
-       "    value += 'k';\n",
-       "    value += event.which.toString();\n",
-       "\n",
-       "    this._key_event_extra(event, name);\n",
-       "\n",
-       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
-       "    return false;\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
-       "    if (name === 'download') {\n",
-       "        this.handle_save(this, null);\n",
-       "    } else {\n",
-       "        this.send_message('toolbar_button', { name: name });\n",
-       "    }\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
-       "    this.message.textContent = tooltip;\n",
-       "};\n",
-       "\n",
-       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
-       "// prettier-ignore\n",
-       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
-       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
-       "\n",
-       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
-       "\n",
-       "mpl.default_extension = \"png\";/* global mpl */\n",
-       "\n",
-       "var comm_websocket_adapter = function (comm) {\n",
-       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
-       "    // object with the appropriate methods. Currently this is a non binary\n",
-       "    // socket, so there is still some room for performance tuning.\n",
-       "    var ws = {};\n",
-       "\n",
-       "    ws.close = function () {\n",
-       "        comm.close();\n",
-       "    };\n",
-       "    ws.send = function (m) {\n",
-       "        //console.log('sending', m);\n",
-       "        comm.send(m);\n",
-       "    };\n",
-       "    // Register the callback with on_msg.\n",
-       "    comm.on_msg(function (msg) {\n",
-       "        //console.log('receiving', msg['content']['data'], msg);\n",
-       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
-       "        ws.onmessage(msg['content']['data']);\n",
-       "    });\n",
-       "    return ws;\n",
-       "};\n",
-       "\n",
-       "mpl.mpl_figure_comm = function (comm, msg) {\n",
-       "    // This is the function which gets called when the mpl process\n",
-       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
-       "\n",
-       "    var id = msg.content.data.id;\n",
-       "    // Get hold of the div created by the display call when the Comm\n",
-       "    // socket was opened in Python.\n",
-       "    var element = document.getElementById(id);\n",
-       "    var ws_proxy = comm_websocket_adapter(comm);\n",
-       "\n",
-       "    function ondownload(figure, _format) {\n",
-       "        window.open(figure.canvas.toDataURL());\n",
-       "    }\n",
-       "\n",
-       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
-       "\n",
-       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
-       "    // web socket which is closed, not our websocket->open comm proxy.\n",
-       "    ws_proxy.onopen();\n",
-       "\n",
-       "    fig.parent_element = element;\n",
-       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
-       "    if (!fig.cell_info) {\n",
-       "        console.error('Failed to find cell for figure', id, fig);\n",
-       "        return;\n",
-       "    }\n",
-       "    fig.cell_info[0].output_area.element.on(\n",
-       "        'cleared',\n",
-       "        { fig: fig },\n",
-       "        fig._remove_fig_handler\n",
-       "    );\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
-       "    var width = fig.canvas.width / fig.ratio;\n",
-       "    fig.cell_info[0].output_area.element.off(\n",
-       "        'cleared',\n",
-       "        fig._remove_fig_handler\n",
-       "    );\n",
-       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
-       "\n",
-       "    // Update the output cell to use the data from the current canvas.\n",
-       "    fig.push_to_output();\n",
-       "    var dataURL = fig.canvas.toDataURL();\n",
-       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
-       "    // the notebook keyboard shortcuts fail.\n",
-       "    IPython.keyboard_manager.enable();\n",
-       "    fig.parent_element.innerHTML =\n",
-       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
-       "    fig.close_ws(fig, msg);\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
-       "    fig.send_message('closing', msg);\n",
-       "    // fig.ws.close()\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
-       "    // Turn the data on the canvas into data in the output cell.\n",
-       "    var width = this.canvas.width / this.ratio;\n",
-       "    var dataURL = this.canvas.toDataURL();\n",
-       "    this.cell_info[1]['text/html'] =\n",
-       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.updated_canvas_event = function () {\n",
-       "    // Tell IPython that the notebook contents must change.\n",
-       "    IPython.notebook.set_dirty(true);\n",
-       "    this.send_message('ack', {});\n",
-       "    var fig = this;\n",
-       "    // Wait a second, then push the new image to the DOM so\n",
-       "    // that it is saved nicely (might be nice to debounce this).\n",
-       "    setTimeout(function () {\n",
-       "        fig.push_to_output();\n",
-       "    }, 1000);\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype._init_toolbar = function () {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var toolbar = document.createElement('div');\n",
-       "    toolbar.classList = 'btn-toolbar';\n",
-       "    this.root.appendChild(toolbar);\n",
-       "\n",
-       "    function on_click_closure(name) {\n",
-       "        return function (_event) {\n",
-       "            return fig.toolbar_button_onclick(name);\n",
-       "        };\n",
-       "    }\n",
-       "\n",
-       "    function on_mouseover_closure(tooltip) {\n",
-       "        return function (event) {\n",
-       "            if (!event.currentTarget.disabled) {\n",
-       "                return fig.toolbar_button_onmouseover(tooltip);\n",
-       "            }\n",
-       "        };\n",
-       "    }\n",
-       "\n",
-       "    fig.buttons = {};\n",
-       "    var buttonGroup = document.createElement('div');\n",
-       "    buttonGroup.classList = 'btn-group';\n",
-       "    var button;\n",
-       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
-       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
-       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
-       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
-       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
-       "\n",
-       "        if (!name) {\n",
-       "            /* Instead of a spacer, we start a new button group. */\n",
-       "            if (buttonGroup.hasChildNodes()) {\n",
-       "                toolbar.appendChild(buttonGroup);\n",
-       "            }\n",
-       "            buttonGroup = document.createElement('div');\n",
-       "            buttonGroup.classList = 'btn-group';\n",
-       "            continue;\n",
-       "        }\n",
-       "\n",
-       "        button = fig.buttons[name] = document.createElement('button');\n",
-       "        button.classList = 'btn btn-default';\n",
-       "        button.href = '#';\n",
-       "        button.title = name;\n",
-       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
-       "        button.addEventListener('click', on_click_closure(method_name));\n",
-       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
-       "        buttonGroup.appendChild(button);\n",
-       "    }\n",
-       "\n",
-       "    if (buttonGroup.hasChildNodes()) {\n",
-       "        toolbar.appendChild(buttonGroup);\n",
-       "    }\n",
-       "\n",
-       "    // Add the status bar.\n",
-       "    var status_bar = document.createElement('span');\n",
-       "    status_bar.classList = 'mpl-message pull-right';\n",
-       "    toolbar.appendChild(status_bar);\n",
-       "    this.message = status_bar;\n",
-       "\n",
-       "    // Add the close button to the window.\n",
-       "    var buttongrp = document.createElement('div');\n",
-       "    buttongrp.classList = 'btn-group inline pull-right';\n",
-       "    button = document.createElement('button');\n",
-       "    button.classList = 'btn btn-mini btn-primary';\n",
-       "    button.href = '#';\n",
-       "    button.title = 'Stop Interaction';\n",
-       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
-       "    button.addEventListener('click', function (_evt) {\n",
-       "        fig.handle_close(fig, {});\n",
-       "    });\n",
-       "    button.addEventListener(\n",
-       "        'mouseover',\n",
-       "        on_mouseover_closure('Stop Interaction')\n",
-       "    );\n",
-       "    buttongrp.appendChild(button);\n",
-       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
-       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
-       "    var fig = event.data.fig;\n",
-       "    if (event.target !== this) {\n",
-       "        // Ignore bubbled events from children.\n",
-       "        return;\n",
-       "    }\n",
-       "    fig.close_ws(fig, {});\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype._root_extra_style = function (el) {\n",
-       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
-       "    // this is important to make the div 'focusable\n",
-       "    el.setAttribute('tabindex', 0);\n",
-       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
-       "    // off when our div gets focus\n",
-       "\n",
-       "    // location in version 3\n",
-       "    if (IPython.notebook.keyboard_manager) {\n",
-       "        IPython.notebook.keyboard_manager.register_events(el);\n",
-       "    } else {\n",
-       "        // location in version 2\n",
-       "        IPython.keyboard_manager.register_events(el);\n",
-       "    }\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
-       "    var manager = IPython.notebook.keyboard_manager;\n",
-       "    if (!manager) {\n",
-       "        manager = IPython.keyboard_manager;\n",
-       "    }\n",
-       "\n",
-       "    // Check for shift+enter\n",
-       "    if (event.shiftKey && event.which === 13) {\n",
-       "        this.canvas_div.blur();\n",
-       "        // select the cell after this one\n",
-       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
-       "        IPython.notebook.select(index + 1);\n",
-       "    }\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
-       "    fig.ondownload(fig, null);\n",
-       "};\n",
-       "\n",
-       "mpl.find_output_cell = function (html_output) {\n",
-       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
-       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
-       "    // IPython event is triggered only after the cells have been serialised, which for\n",
-       "    // our purposes (turning an active figure into a static one), is too late.\n",
-       "    var cells = IPython.notebook.get_cells();\n",
-       "    var ncells = cells.length;\n",
-       "    for (var i = 0; i < ncells; i++) {\n",
-       "        var cell = cells[i];\n",
-       "        if (cell.cell_type === 'code') {\n",
-       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
-       "                var data = cell.output_area.outputs[j];\n",
-       "                if (data.data) {\n",
-       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
-       "                    data = data.data;\n",
-       "                }\n",
-       "                if (data['text/html'] === html_output) {\n",
-       "                    return [cell, data, j];\n",
-       "                }\n",
-       "            }\n",
-       "        }\n",
-       "    }\n",
-       "};\n",
-       "\n",
-       "// Register the function which deals with the matplotlib target/channel.\n",
-       "// The kernel may be null if the page has been refreshed.\n",
-       "if (IPython.notebook.kernel !== null) {\n",
-       "    IPython.notebook.kernel.comm_manager.register_target(\n",
-       "        'matplotlib',\n",
-       "        mpl.mpl_figure_comm\n",
-       "    );\n",
-       "}\n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Javascript object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
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\" width=\"799.6767676767677\">"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "%matplotlib notebook\n",
     "\n",
@@ -2302,7 +603,7 @@
     "plt.title('Perovskite data set', size=20)\n",
     "\n",
     "fig = plt.gcf()\n",
-    "fig.set_size_inches(8, 6)\n",
+    "fig.set_size_inches(6, 6)\n",
     "\n",
     "ax.set_xlabel('   %s' % all_pairs_combinations[product_list_max_index][0],fontsize=18)\n",
     "ax.set_ylabel('   %s' % all_pairs_combinations[product_list_max_index][1],fontsize=18)\n",