{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cd0be85b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "39c3d028",
   "metadata": {},
   "outputs": [],
   "source": [
    "# columns: id, timestamp, "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a7621921",
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "bb10b577",
   "metadata": {},
   "outputs": [],
   "source": [
    "ts_list = []\n",
    "with open(r\"C:\\Users\\yozhan\\Downloads\\Archive\\Bitcoin copy\\BitCoinsubmission4.csv\", \"r\", encoding=\"utf-8\") as infile:\n",
    "    csv_reader = csv.reader(infile, delimiter=' ', quotechar='|')\n",
    "    for row in csv_reader:\n",
    "        ts = row[1]\n",
    "        ts_list.append(ts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fe289999",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Bitcoin\n",
    "# submission1 2022-01-01 - 2022-03-01\n",
    "# submission2 2022-03-01 - 2022-06-01\n",
    "# submission3 2022-06-01 - 2022-09-01\n",
    "# submission4 2022-09-01 - 2023-01-01"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "4fc8a065",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11927\n",
      "2022-09-01 00:59:41\n",
      "2023-01-01 23:51:53\n"
     ]
    }
   ],
   "source": [
    "print(len(ts_list))\n",
    "print(datetime.fromtimestamp(float(min(ts_list))))\n",
    "print(datetime.fromtimestamp(float(max(ts_list))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fc4c9d89",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Ethereum\n",
    "# submission1 2022-01-01 - 2022-03-01: 4481\n",
    "# submission2 2022-03-01 - 2022-06-01: 3837\n",
    "# submission3 2022-06-01 - 2022-09-01: 3172\n",
    "# submission4 2022-09-01 - 2023-01-01: 4418"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "52ad83de",
   "metadata": {},
   "outputs": [],
   "source": [
    "ts_list = []\n",
    "with open(r\"C:\\Users\\yozhan\\Downloads\\Archive\\Etherum copy\\Ethereumsubmission4.csv\", \"r\", encoding=\"utf-8\") as infile:\n",
    "    csv_reader = csv.reader(infile, delimiter=' ', quotechar='|')\n",
    "    for row in csv_reader:\n",
    "        ts = row[1]\n",
    "        ts_list.append(ts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "244fdfe5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4418\n",
      "2022-09-01 01:02:11\n",
      "2023-01-01 23:00:11\n"
     ]
    }
   ],
   "source": [
    "print(len(ts_list))\n",
    "print(datetime.fromtimestamp(float(min(ts_list))))\n",
    "print(datetime.fromtimestamp(float(max(ts_list))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3bf7d52e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dogecoin\n",
    "# submission1 2022-01-01 - 2022-03-01: 11126\n",
    "# submission2 2022-03-01 - 2022-06-01: 21513\n",
    "# submission3 2022-06-01 - 2022-09-01: 10098\n",
    "# submission4 2022-09-01 - 2023-01-01: ??"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "8fb1550b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: 'C:\\\\Users\\\\yozhan\\\\Downloads\\\\Archive\\\\Dogecoin copy\\\\Dogecoinsubmission4.csv'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[40], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m ts_list \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m----> 2\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;124;43mr\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mC:\u001b[39;49m\u001b[38;5;124;43m\\\u001b[39;49m\u001b[38;5;124;43mUsers\u001b[39;49m\u001b[38;5;124;43m\\\u001b[39;49m\u001b[38;5;124;43myozhan\u001b[39;49m\u001b[38;5;124;43m\\\u001b[39;49m\u001b[38;5;124;43mDownloads\u001b[39;49m\u001b[38;5;124;43m\\\u001b[39;49m\u001b[38;5;124;43mArchive\u001b[39;49m\u001b[38;5;124;43m\\\u001b[39;49m\u001b[38;5;124;43mDogecoin copy\u001b[39;49m\u001b[38;5;124;43m\\\u001b[39;49m\u001b[38;5;124;43mDogecoinsubmission4.csv\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mr\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mutf-8\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m infile:\n\u001b[0;32m      3\u001b[0m     csv_reader \u001b[38;5;241m=\u001b[39m csv\u001b[38;5;241m.\u001b[39mreader(infile, delimiter\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m'\u001b[39m, quotechar\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m|\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m      4\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m row \u001b[38;5;129;01min\u001b[39;00m csv_reader:\n",
      "File \u001b[1;32m~\\AppData\\Local\\anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py:282\u001b[0m, in \u001b[0;36m_modified_open\u001b[1;34m(file, *args, **kwargs)\u001b[0m\n\u001b[0;32m    275\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m file \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m}:\n\u001b[0;32m    276\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m    277\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIPython won\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt let you open fd=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m by default \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    278\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mas it is likely to crash IPython. If you know what you are doing, \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    279\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124myou can use builtins\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m open.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    280\u001b[0m     )\n\u001b[1;32m--> 282\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m io_open(file, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
      "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'C:\\\\Users\\\\yozhan\\\\Downloads\\\\Archive\\\\Dogecoin copy\\\\Dogecoinsubmission4.csv'"
     ]
    }
   ],
   "source": [
    "ts_list = []\n",
    "with open(r\"C:\\Users\\yozhan\\Downloads\\Archive\\Dogecoin copy\\Dogecoinsubmission4.csv\", \"r\", encoding=\"utf-8\") as infile:\n",
    "    csv_reader = csv.reader(infile, delimiter=' ', quotechar='|')\n",
    "    for row in csv_reader:\n",
    "        ts = row[1]\n",
    "        ts_list.append(ts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "37792ef7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "min() arg is an empty sequence",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[41], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;28mlen\u001b[39m(ts_list))\n\u001b[1;32m----> 2\u001b[0m \u001b[38;5;28mprint\u001b[39m(datetime\u001b[38;5;241m.\u001b[39mfromtimestamp(\u001b[38;5;28mfloat\u001b[39m(\u001b[38;5;28;43mmin\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mts_list\u001b[49m\u001b[43m)\u001b[49m)))\n\u001b[0;32m      3\u001b[0m \u001b[38;5;28mprint\u001b[39m(datetime\u001b[38;5;241m.\u001b[39mfromtimestamp(\u001b[38;5;28mfloat\u001b[39m(\u001b[38;5;28mmax\u001b[39m(ts_list))))\n",
      "\u001b[1;31mValueError\u001b[0m: min() arg is an empty sequence"
     ]
    }
   ],
   "source": [
    "print(len(ts_list))\n",
    "print(datetime.fromtimestamp(float(min(ts_list))))\n",
    "print(datetime.fromtimestamp(float(max(ts_list))))"
   ]
  }
 ],
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