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temu.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas\n",
+    "\n",
+    "df = pandas.read_csv(\"data/cbec-robot-info/robot-name-temu-clear-manual.csv\")\n",
+    "\n",
+    "# Convert Name column to uppercase\n",
+    "df[\"Name\"] = df[\"Name\"].str.upper()\n",
+    "\n",
+    "# Remove duplicates\n",
+    "df = df.drop_duplicates()\n",
+    "\n",
+    "# Aggregate by Name column\n",
+    "df_aggregated = df.groupby(\"Name\").sum().reset_index()\n",
+    "\n",
+    "# Sort by Day7RunHour column in descending order\n",
+    "df_aggregated = df_aggregated.sort_values(by=\"Day7RunHour\", ascending=False)\n",
+    "\n",
+    "# for index, row in df_aggregated.iterrows():\n",
+    "#     print(row[\"Name\"], row[\"Day7RunHour\"])\n",
+    "\n",
+    "df_aggregated.to_excel(\"data/cbec-robot-info/robot-name-temu-clear-manual.xlsx\", index=False)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}