add analysis

.gitignore

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+.venv

summary.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from datetime import datetime, timezone, timedelta\n",
+    "import pytz\n",
+    "\n",
+    "with open(\"data/output.csv\", \"rb\") as f:\n",
+    "    data = pd.read_csv(f, delimiter=\"\\t\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Time Played\n",
+      "2024-03-04    30\n",
+      "2024-05-01    26\n",
+      "2024-04-13    26\n",
+      "2024-04-25    25\n",
+      "2024-04-14    24\n",
+      "2024-04-20    23\n",
+      "2024-04-18    20\n",
+      "2024-04-24    19\n",
+      "2024-03-05    17\n",
+      "2024-03-10    17\n",
+      "Name: Time Played, dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    "JST = pytz.timezone(\"Asia/Tokyo\")\n",
+    "CST = pytz.timezone(\"America/Chicago\")\n",
+    "\n",
+    "def to_jst_timestamp(s: str, format_str=\"%Y-%m-%d %H:%M:%S\"):\n",
+    "    if type(s) is not str: return None\n",
+    "    naive_dt = datetime.strptime(s, format_str)\n",
+    "    jst_dt = JST.localize(naive_dt)\n",
+    "    cst_dt = jst_dt.astimezone(CST)\n",
+    "    return cst_dt\n",
+    "\n",
+    "times = data[\"Time Played\"]\n",
+    "times_mapped = times.map(to_jst_timestamp)\n",
+    "days_played = times_mapped.groupby(times_mapped.dt.date).count()\n",
+    "print(days_played.sort_values(ascending=False).head(10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "        Clears  Average                               Song Name   Score   Lamp\n",
+      "Rating                                                                        \n",
+      "8            7   895073                       朧 (dj TAKA Remix)  996620    GFC\n",
+      "9           25   918551                                 Why not  999650    PFC\n",
+      "10          29   921425                                  隅田川夏恋歌  992160    GFC\n",
+      "11          40   896780                                       朧  992520    GFC\n",
+      "12          56   890122                          MY SUMMER LOVE  987030    GFC\n",
+      "13          70   840879                                Struggle  978430    GFC\n",
+      "14         121   799834                      FUNKY SUMMER BEACH  943140     FC\n",
+      "15          26   798904                             未来（ダ）FUTURE  898400  Clear\n",
+      "16          16   770314                      Sword of Vengeance  861210  Clear\n",
+      "17           1   662870  PRANA+REVOLUTIONARY ADDICT (U1 DJ Mix)  662870  Clear\n"
+     ]
+    }
+   ],
+   "source": [
+    "records_by_level = data.loc[data[\"Lamp\"] != \"Fail\"].groupby(data[\"Rating\"])\n",
+    "num_clears_by_level = records_by_level[\"Score\"].count().rename(\"Clears\")\n",
+    "average_scores_by_level = records_by_level[\"Score\"].mean().round().astype(\"int\").rename(\"Average\")\n",
+    "def max_info(group):\n",
+    "    max_idx = group[\"Score\"].idxmax()\n",
+    "    return group.loc[max_idx]\n",
+    "max_score_by_level = records_by_level.apply(max_info)[[\"Score\", \"Lamp\", \"Song Name\"]]\n",
+    "result = pd.merge(num_clears_by_level, average_scores_by_level, on=\"Rating\")\n",
+    "result = pd.merge(result, max_score_by_level, on=\"Rating\")\n",
+    "print(result)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "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": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}