src/feature_importance.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import libraries\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.feature_selection import mutual_info_classif, mutual_info_regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>Age</th>\n",
       "      <th>Sex</th>\n",
       "      <th>ChestPainType</th>\n",
       "      <th>RestingBP</th>\n",
       "      <th>Cholesterol</th>\n",
       "      <th>FastingBS</th>\n",
       "      <th>RestingECG</th>\n",
       "      <th>MaxHR</th>\n",
       "      <th>ExerciseAngina</th>\n",
       "      <th>Oldpeak</th>\n",
       "      <th>ST_Slope</th>\n",
       "      <th>HeartDisease</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40</td>\n",
       "      <td>M</td>\n",
       "      <td>ATA</td>\n",
       "      <td>140</td>\n",
       "      <td>289</td>\n",
       "      <td>0</td>\n",
       "      <td>Normal</td>\n",
       "      <td>172</td>\n",
       "      <td>N</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Up</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>49</td>\n",
       "      <td>F</td>\n",
       "      <td>NAP</td>\n",
       "      <td>160</td>\n",
       "      <td>180</td>\n",
       "      <td>0</td>\n",
       "      <td>Normal</td>\n",
       "      <td>156</td>\n",
       "      <td>N</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Flat</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>37</td>\n",
       "      <td>M</td>\n",
       "      <td>ATA</td>\n",
       "      <td>130</td>\n",
       "      <td>283</td>\n",
       "      <td>0</td>\n",
       "      <td>ST</td>\n",
       "      <td>98</td>\n",
       "      <td>N</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Up</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>48</td>\n",
       "      <td>F</td>\n",
       "      <td>ASY</td>\n",
       "      <td>138</td>\n",
       "      <td>214</td>\n",
       "      <td>0</td>\n",
       "      <td>Normal</td>\n",
       "      <td>108</td>\n",
       "      <td>Y</td>\n",
       "      <td>1.5</td>\n",
       "      <td>Flat</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>54</td>\n",
       "      <td>M</td>\n",
       "      <td>NAP</td>\n",
       "      <td>150</td>\n",
       "      <td>195</td>\n",
       "      <td>0</td>\n",
       "      <td>Normal</td>\n",
       "      <td>122</td>\n",
       "      <td>N</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Up</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age Sex ChestPainType  RestingBP  Cholesterol  FastingBS RestingECG  MaxHR  \\\n",
       "0   40   M           ATA        140          289          0     Normal    172   \n",
       "1   49   F           NAP        160          180          0     Normal    156   \n",
       "2   37   M           ATA        130          283          0         ST     98   \n",
       "3   48   F           ASY        138          214          0     Normal    108   \n",
       "4   54   M           NAP        150          195          0     Normal    122   \n",
       "\n",
       "  ExerciseAngina  Oldpeak ST_Slope  HeartDisease  \n",
       "0              N      0.0       Up             0  \n",
       "1              N      1.0     Flat             1  \n",
       "2              N      0.0       Up             0  \n",
       "3              Y      1.5     Flat             1  \n",
       "4              N      0.0       Up             0  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read file\n",
    "hfp_dataset = pd.read_csv('../data/heart.csv')\n",
    "hfp_dataset.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Age                 int64\n",
       "Sex                object\n",
       "ChestPainType      object\n",
       "RestingBP           int64\n",
       "Cholesterol         int64\n",
       "FastingBS           int64\n",
       "RestingECG         object\n",
       "MaxHR               int64\n",
       "ExerciseAngina     object\n",
       "Oldpeak           float64\n",
       "ST_Slope           object\n",
       "HeartDisease        int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hfp_dataset.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Split predictors and target value\n",
    "X = hfp_dataset.copy()\n",
    "y = X.pop('HeartDisease')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "uniques = Index(['M', 'F'], dtype='object')\n",
      "uniques = Index(['ATA', 'NAP', 'ASY', 'TA'], dtype='object')\n",
      "uniques = Index(['Normal', 'ST', 'LVH'], dtype='object')\n",
      "uniques = Index(['N', 'Y'], dtype='object')\n",
      "uniques = Index(['Up', 'Flat', 'Down'], dtype='object')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Age                True\n",
       "Sex                True\n",
       "ChestPainType      True\n",
       "RestingBP          True\n",
       "Cholesterol        True\n",
       "FastingBS          True\n",
       "RestingECG         True\n",
       "MaxHR              True\n",
       "ExerciseAngina     True\n",
       "Oldpeak           False\n",
       "ST_Slope           True\n",
       "dtype: bool"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Label encoding for categoricals\n",
    "for colname in X.select_dtypes(\"object\"):\n",
    "    X[colname], uniques = X[colname].factorize()\n",
    "    print(f'uniques = {uniques}')\n",
    "\n",
    "discrete_features = X.dtypes == int\n",
    "discrete_features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "num_columns = ['Age', 'Sex', 'ChestPainType', 'RestingBP', 'Cholesterol', 'FastingBS', 'RestingECG', 'MaxHR', 'ExerciseAngina', 'Oldpeak', 'ST_Slope']\n"
     ]
    }
   ],
   "source": [
    "# # # Normalize numeric features\n",
    "# # # Get numeric values:\n",
    "# num_columns = [ col for col in X.columns if X[col].dtype in ['int', 'float']]\n",
    "# print(f'num_columns = {num_columns}')\n",
    "# # discrete_features = [ col for col in X.columns if X[col].dtype in ['int']]\n",
    "# # print(f'num_columns = {discrete_features}')\n",
    "# # # print(f'discrete_features = {discrete_features}')\n",
    "# scaler = StandardScaler()\n",
    "# X[num_columns] = scaler.fit_transform(X[num_columns])\n",
    "# # discrete_features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Sex</th>\n",
       "      <th>ChestPainType</th>\n",
       "      <th>RestingBP</th>\n",
       "      <th>Cholesterol</th>\n",
       "      <th>FastingBS</th>\n",
       "      <th>RestingECG</th>\n",
       "      <th>MaxHR</th>\n",
       "      <th>ExerciseAngina</th>\n",
       "      <th>Oldpeak</th>\n",
       "      <th>ST_Slope</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40</td>\n",
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       "      <td>140</td>\n",
       "      <td>289</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>172</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>49</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>160</td>\n",
       "      <td>180</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>156</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>37</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>130</td>\n",
       "      <td>283</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>98</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>138</td>\n",
       "      <td>214</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>108</td>\n",
       "      <td>1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>150</td>\n",
       "      <td>195</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>122</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>913</th>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>110</td>\n",
       "      <td>264</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>132</td>\n",
       "      <td>0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>914</th>\n",
       "      <td>68</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>144</td>\n",
       "      <td>193</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>141</td>\n",
       "      <td>0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>915</th>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>130</td>\n",
       "      <td>131</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>115</td>\n",
       "      <td>1</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>916</th>\n",
       "      <td>57</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>130</td>\n",
       "      <td>236</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>174</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>917</th>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>138</td>\n",
       "      <td>175</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>173</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>918 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Age  Sex  ChestPainType  RestingBP  Cholesterol  FastingBS  RestingECG  \\\n",
       "0     40    0              0        140          289          0           0   \n",
       "1     49    1              1        160          180          0           0   \n",
       "2     37    0              0        130          283          0           1   \n",
       "3     48    1              2        138          214          0           0   \n",
       "4     54    0              1        150          195          0           0   \n",
       "..   ...  ...            ...        ...          ...        ...         ...   \n",
       "913   45    0              3        110          264          0           0   \n",
       "914   68    0              2        144          193          1           0   \n",
       "915   57    0              2        130          131          0           0   \n",
       "916   57    1              0        130          236          0           2   \n",
       "917   38    0              1        138          175          0           0   \n",
       "\n",
       "     MaxHR  ExerciseAngina  Oldpeak  ST_Slope  \n",
       "0      172               0      0.0         0  \n",
       "1      156               0      1.0         1  \n",
       "2       98               0      0.0         0  \n",
       "3      108               1      1.5         1  \n",
       "4      122               0      0.0         0  \n",
       "..     ...             ...      ...       ...  \n",
       "913    132               0      1.2         1  \n",
       "914    141               0      3.4         1  \n",
       "915    115               1      1.2         1  \n",
       "916    174               0      0.0         1  \n",
       "917    173               0      0.0         0  \n",
       "\n",
       "[918 rows x 11 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Feature Importance assessment\n",
    "## 1. Mutual Information Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Cholesterol       0.223062\n",
       "ST_Slope          0.207474\n",
       "MaxHR             0.161544\n",
       "ChestPainType     0.155988\n",
       "ExerciseAngina    0.131680\n",
       "Oldpeak           0.095183\n",
       "Age               0.073583\n",
       "RestingBP         0.062498\n",
       "Sex               0.047477\n",
       "FastingBS         0.038040\n",
       "RestingECG        0.006045\n",
       "Name: MI Scores, dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def make_mi_scores(X, y, discrete_features):\n",
    "    mi_scores = mutual_info_classif(X, y, discrete_features=discrete_features)\n",
    "    # mi_scores = mutual_info_classif(X, y)\n",
    "    mi_scores = pd.Series(mi_scores, name='MI Scores', index=X.columns)\n",
    "    mi_scores = mi_scores.sort_values(ascending=False)\n",
    "    return mi_scores\n",
    "\n",
    "mi_scores = make_mi_scores(X, y, discrete_features)\n",
    "mi_scores\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_mi_scores(scores):\n",
    "    scores = scores.sort_values(ascending=True)\n",
    "    width = np.arange(len(scores))\n",
    "    ticks = list(scores.index)\n",
    "    # print(f'width = {width}')\n",
    "    # print(f'ticks = {ticks}')\n",
    "    plt.barh(width, scores)\n",
    "    plt.yticks(width, ticks)\n",
    "    plt.title(\"Mutual Information Scores\")\n",
    "\n",
    "\n",
    "plt.figure(dpi=100, figsize=(8, 5))\n",
    "plot_mi_scores(mi_scores)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Correlation Heatmap (Correlation Matrix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "combined_df = pd.concat([X, y], axis=1)\n",
    "\n",
    "corr_matrix = combined_df.corr()\n",
    "\n",
    "# Plot the heatmap\n",
    "plt.figure(figsize=(12, 8))\n",
    "sns.heatmap(corr_matrix, annot=True, cmap=\"coolwarm\", center=0)\n",
    "plt.title(\"Correlation Matrix\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Permutation Importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.inspection import permutation_importance\n",
    "\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=0.75, random_state=42)\n",
    "\n",
    "model = RandomForestClassifier()\n",
    "model.fit(X_train, y_train)\n",
    "\n",
    "result = permutation_importance(model, X_test, y_test, n_repeats=20)\n",
    "sorted_importances = result.importances_mean.argsort()\n",
    "\n",
    "plt.barh(X_test.columns[sorted_importances], result.importances_mean[sorted_importances])\n",
    "plt.title(\"Permutation Importance\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Recursive Feature Elimination (RFE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. SHAP (SHapley Additive exPlanations) Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import shap\n",
    "\n",
    "explainer = shap.Explainer(model, X_train)\n",
    "shap_values = explainer(X_train)\n",
    "\n",
    "shap.summary_plot(shap_values, X_train)\n",
    "\n",
    "shap.dependence_plot(\"FeatureName\", shap_values, X_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "num_columns = ['Age', 'Sex', 'ChestPainType', 'RestingBP', 'Cholesterol', 'FastingBS', 'RestingECG', 'MaxHR', 'ExerciseAngina', 'Oldpeak', 'ST_Slope']\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "# # Get numeric values:\n",
    "num_columns = [ col for col in X_train.columns if X_train[col].dtype in ['int', 'float']]\n",
    "print(f'num_columns = {num_columns}')\n",
    "# discrete_features = [ col for col in X.columns if X[col].dtype in ['int']]\n",
    "# print(f'num_columns = {discrete_features}')\n",
    "# # print(f'discrete_features = {discrete_features}')\n",
    "scaler = StandardScaler()\n",
    "X_train[num_columns] = scaler.fit_transform(X_train[num_columns])\n",
    "# discrete_features\n",
    "\n",
    "\n",
    "model_lr = LogisticRegression()\n",
    "model_lr.fit(X_train, y_train)\n",
    "\n",
    "# Get the coefficients\n",
    "feature_importance = np.abs(model_lr.coef_[0])\n",
    "\n",
    "indices = np.argsort(feature_importance)[::-1]\n",
    "feature_names = X_train.columns  # If using a DataFrame\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.title(\"Feature Importances\")\n",
    "plt.barh(range(X_train.shape[1]), feature_importance[indices], align=\"center\")\n",
    "plt.yticks(range(X_train.shape[1]), feature_names[indices])\n",
    "plt.gca().invert_yaxis()  # Most important at the top\n",
    "plt.show()\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "dsi_participant",
   "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": "3.9.18"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}