{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "max_efficiency = pd.read_csv('Bitcoin max updated.csv') # rows are Date,Hardware (TH/J),Hardware with Archaicity (TH/J)\n",
    "max_efficiency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "# loop through rows\n",
    "for i in range(len(max_efficiency)):\n",
    "    # get the date\n",
    "    date = max_efficiency.iloc[i]['Date']\n",
    "\n",
    "    date_format = \"%Y-%m-%d\"\n",
    "    updates = [\n",
    "        (\"2012-11-19\", 0.00025), # BFL\n",
    "        (\"2013-01-16\", \t1250/1000000), # jalapeno\n",
    "        (\"2013-06-22\", 0.0004), # KNC\n",
    "        (\"2013-09-18\", \t0.000909), #hashfast\n",
    "        (\"2013-11-26\", \t0.001429), # KNC neptune\n",
    "        (\"2017-11-01\", \t0.01021), # antminer s9\n",
    "        (\"2018-09-20\", \t15384/1000000), # microbt whatsminer m10 https://bitcointalk.org/index.php?topic=5033998.0\n",
    "        (\"2018-08-07\", \t12121/1000000), # innosilicon t2 turbo\n",
    "    ]\n",
    "    for (update_date, update_value) in updates:\n",
    "        if datetime.strptime(date, date_format) > datetime.strptime(update_date, date_format):\n",
    "            max_efficiency.loc[i, 'Hardware (TH/J)'] = max(max_efficiency.loc[i, 'Hardware (TH/J)'], update_value)\n",
    "\n",
    "max_efficiency.to_csv('pmaxv1.csv', index=False)"
   ]
  }
 ],
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