From d02c60b82c82379b6e2592e1f9cd3c3529afe134 Mon Sep 17 00:00:00 2001
From: Alex6022 <7952557+Alex6022@users.noreply.github.com>
Date: Thu, 28 Mar 2024 13:15:02 +0000
Subject: [PATCH] Started combination of  data sets for transfer learning using
 hot encoding

---
 Alex6022/baybe-inhibitor.ipynb | 36 ++++++++++++----------------------
 1 file changed, 12 insertions(+), 24 deletions(-)

diff --git a/Alex6022/baybe-inhibitor.ipynb b/Alex6022/baybe-inhibitor.ipynb
index 028c05c..87d6a0e 100644
--- a/Alex6022/baybe-inhibitor.ipynb
+++ b/Alex6022/baybe-inhibitor.ipynb
@@ -77,38 +77,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "           Time_h          pH  Inhib_Concentrat_M  Salt_Concentrat_M  \\\n",
-      "count  333.000000  333.000000        3.330000e+02         333.000000   \n",
-      "mean    79.969970    0.440733        1.510580e-01           0.051051   \n",
-      "std    143.826377    1.913196        5.784776e-01           0.301263   \n",
-      "min      0.000000   -0.600000        1.000000e-07           0.000000   \n",
-      "25%      2.000000   -0.136721        2.000000e-04           0.000000   \n",
-      "50%      5.500000    0.000000        1.800000e-03           0.000000   \n",
-      "75%     96.000000    1.000000        4.279601e-03           0.000000   \n",
-      "max    720.000000   13.000000        3.280000e+00           2.000000   \n",
-      "\n",
-      "       Efficiency  \n",
-      "count  333.000000  \n",
-      "mean    60.781498  \n",
-      "std     22.139768  \n",
-      "min    -49.170000  \n",
-      "25%     47.066667  \n",
-      "50%     66.000000  \n",
-      "75%     77.220000  \n",
-      "max     96.200000  \n"
+     "ename": "NameError",
+     "evalue": "name 'pd' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[1], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m df_AA1000 \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241m.\u001b[39mread_excel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m/workspaces/project-project-surface-science-syndicate/data/averaged_filtered_AA1000.xlsx\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28mprint\u001b[39m(df_AA1000\u001b[38;5;241m.\u001b[39mdescribe())\n\u001b[1;32m      3\u001b[0m df_AA5000 \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_excel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m/workspaces/project-project-surface-science-syndicate/data/averaged_filtered_AA5000.xlsx\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined"
      ]
     }
    ],
    "source": [
     "df_AA1000 = pd.read_excel('/workspaces/project-project-surface-science-syndicate/data/averaged_filtered_AA1000.xlsx')\n",
-    "print(df_AA1000.describe())"
+    "print(df_AA1000.describe())\n",
+    "df_AA5000 = pd.read_excel('/workspaces/project-project-surface-science-syndicate/data/averaged_filtered_AA5000.xlsx')\n",
+    "df_AA7075 = pd.read_excel('/workspaces/project-project-surface-science-syndicate/data/averaged_filtered_AA7075.xlsx')"
    ]
   },
   {