Dataframe in eine pickle datei gespeichert

.gitignore

@@ -3,3 +3,4 @@
 
 # Erlaube .ipynb-Dateien
 !*.ipynb
+!*.pickle

project-cancer-classification.ipynb

@@ -124,20 +124,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": null,
    "id": "2adae4ff",
    "metadata": {
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Es wurden 1034 Dateien eingelesen.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import numpy as np\n",
     "import pandas as pd\n",
@@ -181,95 +173,37 @@
     "\n",
     "# Display the first few rows of the DataFrame\n",
     "#print(df.head(n=20))\n",
-    "rick = np.array(rick)\n",
+    "#rick = np.array(rick)\n",
     "\n",
     "# Speichern der 'kirp' Liste in einer Pickle-Datei\n",
-    "with open('rick.pickle', 'wb') as f:\n",
-    "    pickle.dump(rick, f)\n"
+    "#with open('rick.pickle', 'wb') as f:\n",
+    "#    pickle.dump(rick, f)\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": null,
    "id": "dfe4f964-6068-46da-8103-194525086f01",
    "metadata": {
     "tags": []
    },
-   "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>genome_frequencies</th>\n",
-       "      <th>cancer_type</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>[20.331, 0.0, 25.1806, 1.1301, 0.4836, 7.3269,...</td>\n",
-       "      <td>kirp</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>[37.0405, 0.5002, 77.4246, 4.2188, 1.0408, 29....</td>\n",
-       "      <td>kirp</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>[45.4456, 0.0903, 74.9545, 4.843, 1.5188, 11.8...</td>\n",
-       "      <td>kirp</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>[15.2345, 0.3393, 62.0003, 2.4412, 0.932, 2.66...</td>\n",
-       "      <td>kirp</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>[35.0709, 0.2333, 62.8022, 2.8872, 1.0547, 18....</td>\n",
-       "      <td>kirp</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                  genome_frequencies cancer_type\n",
-       "0  [20.331, 0.0, 25.1806, 1.1301, 0.4836, 7.3269,...        kirp\n",
-       "1  [37.0405, 0.5002, 77.4246, 4.2188, 1.0408, 29....        kirp\n",
-       "2  [45.4456, 0.0903, 74.9545, 4.843, 1.5188, 11.8...        kirp\n",
-       "3  [15.2345, 0.3393, 62.0003, 2.4412, 0.932, 2.66...        kirp\n",
-       "4  [35.0709, 0.2333, 62.8022, 2.8872, 1.0547, 18....        kirp"
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "data_Frame = pd.DataFrame(data, columns=[\"genome_frequencies\", \"cancer_type\"])\n",
     "data_Frame.head()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0f5cc92a-4485-4184-845e-116ea9a9776d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open('rick.pickle', 'wb') as f:\n",
+    "    pickle.dump(rick, f)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "c60cbf60-d904-4ee0-8f70-588bb109368b",