148 lines
5.8 KiB
Text
148 lines
5.8 KiB
Text
{
|
||
"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": 28,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" Clears Average Max Score Max Score Lamp Max Score Song\n",
|
||
"Rating \n",
|
||
"8 7 895073 996620 GFC 朧 (dj TAKA Remix)\n",
|
||
"9 25 918551 999650 PFC Why not\n",
|
||
"10 29 921425 992160 GFC 隅田川夏恋歌\n",
|
||
"11 40 896780 992520 GFC 朧\n",
|
||
"12 56 890122 987030 GFC MY SUMMER LOVE\n",
|
||
"13 70 840879 978430 GFC Struggle\n",
|
||
"14 121 799834 943140 FC FUNKY SUMMER BEACH\n",
|
||
"15 26 798904 898400 Clear 未来（ダ）FUTURE\n",
|
||
"16 16 770314 861210 Clear Sword of Vengeance\n",
|
||
"17 1 662870 662870 Clear PRANA+REVOLUTIONARY ADDICT (U1 DJ Mix)\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][[\"Score\", \"Lamp\", \"Song Name\"]].rename({ \"Score\": \"Max Score\", \"Lamp\": \"Max Score Lamp\", \"Song Name\": \"Max Score Song\" })\n",
|
||
"max_score_by_level = records_by_level.apply(max_info)\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",
|
||
"with pd.option_context('expand_frame_repr', False):\n",
|
||
" print(result)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 38,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" Song ID Song Name Difficulty Rating Score Grade Lamp Time Uploaded Time Played\n",
|
||
"40 1idIoi66ll806D8ddldOQi8bdiDO0Oil Struggle ESP 13 978430 AA+ GFC 2024-04-18 18:14:49 2024-04-18 18:05:47\n",
|
||
"120 9i6dOd608qb0IlqoDIPb8q1o8q1ddQQd FUNKY SUMMER BEACH ESP 14 943140 AA FC 2024-05-01 22:11:00 2024-05-01 19:21:38\n",
|
||
"171 D686d06lO9IID8D0boPq0Pd8P89idO99 未来（ダ）FUTURE ESP 15 898400 AA- Clear 2024-04-26 01:44:41 2024-04-26 01:40:06\n",
|
||
"205 ddqO1b1ldlQd6OOoQ1boPdoboDQqd9D8 Sword of Vengeance ESP 16 861210 A+ Clear 2024-05-01 18:42:28 2024-05-01 18:39:33\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Gold 1\n",
|
||
"gold1scores = []\n",
|
||
"gold1scores.append(data[(data[\"Score\"] >= 975000) & (data[\"Rating\"] == 13)].head(1))\n",
|
||
"gold1scores.append(data[(data[\"Score\"] >= 925000) & (data[\"Rating\"] == 14)].head(1))\n",
|
||
"gold1scores.append(data[(data[\"Score\"] >= 875000) & (data[\"Rating\"] == 15)].head(1))\n",
|
||
"gold1scores.append(data[(data[\"Score\"] >= 825000) & (data[\"Rating\"] == 16)].head(1))\n",
|
||
"gold1scores.append(data[(data[\"Score\"] >= 750000) & (data[\"Rating\"] == 17)].head(1))\n",
|
||
"with pd.option_context('expand_frame_repr', False):\n",
|
||
" gold1scores = pd.concat(gold1scores)\n",
|
||
" print(gold1scores)"
|
||
]
|
||
}
|
||
],
|
||
"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
|
||
}
|