{ "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 }