{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "81c1bb69-60f3-40df-bfd3-69f77230d92f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "import glob\n",
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "c24df78b-be5b-4da3-a7a3-f124b414ef70",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dotdata1master01_cpu1</th>\n",
       "      <th>dotdata1master01_cpu2</th>\n",
       "      <th>dotdata1master02_cpu1</th>\n",
       "      <th>dotdata1master02_cpu2</th>\n",
       "      <th>dotdata1master01_mem1</th>\n",
       "      <th>dotdata1master01_mem2</th>\n",
       "      <th>dotdata1master02_mem1</th>\n",
       "      <th>dotdata1master02_mem2</th>\n",
       "      <th>DateTime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>151</td>\n",
       "      <td>77.04</td>\n",
       "      <td>151</td>\n",
       "      <td>77.04</td>\n",
       "      <td>151</td>\n",
       "      <td>77.04</td>\n",
       "      <td>151</td>\n",
       "      <td>77.04</td>\n",
       "      <td>2021-12-01 23:59:50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>hoge</td>\n",
       "      <td>hoge</td>\n",
       "      <td>hoge</td>\n",
       "      <td>hoge</td>\n",
       "      <td>hoge</td>\n",
       "      <td>hoge</td>\n",
       "      <td>hoge</td>\n",
       "      <td>hoge</td>\n",
       "      <td>2021-12-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>151</td>\n",
       "      <td>77.04</td>\n",
       "      <td>151</td>\n",
       "      <td>77.04</td>\n",
       "      <td>151</td>\n",
       "      <td>77.04</td>\n",
       "      <td>151</td>\n",
       "      <td>77.04</td>\n",
       "      <td>2021-12-02 00:00:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>200</td>\n",
       "      <td>77.35</td>\n",
       "      <td>200</td>\n",
       "      <td>77.35</td>\n",
       "      <td>200</td>\n",
       "      <td>77.35</td>\n",
       "      <td>200</td>\n",
       "      <td>77.35</td>\n",
       "      <td>2021-12-02 00:00:20</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  dotdata1master01_cpu1 dotdata1master01_cpu2 dotdata1master02_cpu1  \\\n",
       "0                   151                 77.04                   151   \n",
       "1                  hoge                  hoge                  hoge   \n",
       "2                   151                 77.04                   151   \n",
       "3                   200                 77.35                   200   \n",
       "\n",
       "  dotdata1master02_cpu2 dotdata1master01_mem1 dotdata1master01_mem2  \\\n",
       "0                 77.04                   151                 77.04   \n",
       "1                  hoge                  hoge                  hoge   \n",
       "2                 77.04                   151                 77.04   \n",
       "3                 77.35                   200                 77.35   \n",
       "\n",
       "  dotdata1master02_mem1 dotdata1master02_mem2            DateTime  \n",
       "0                   151                 77.04 2021-12-01 23:59:50  \n",
       "1                  hoge                  hoge 2021-12-02 00:00:00  \n",
       "2                   151                 77.04 2021-12-02 00:00:10  \n",
       "3                   200                 77.35 2021-12-02 00:00:20  "
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame()\n",
    "tmpdf1 = pd.DataFrame()\n",
    "tmpdf2 = pd.DataFrame()\n",
    "count =  0\n",
    "for i in glob.glob(\"./data/*.csv*\"):\n",
    "    ptn = \"dotdata.*\\.\"\n",
    "    ptn = \"dotdata.*[0-9][0-9]\"\n",
    "    m = re.search(ptn, i)\n",
    "    tmpdf1 = pd.read_csv(i)\n",
    "    tmpdf1.drop(columns=['Hostname','AM/PM'],inplace=True)\n",
    "    if count > 0 :\n",
    "        tmpdf1.drop(columns=['Date','Time'],inplace=True)\n",
    "    tmpdf2 = tmpdf1.add_prefix(m.group() + \"_\")\n",
    "    df = pd.concat([df, tmpdf2],axis=1)\n",
    "    if count == 0 :\n",
    "        df = df.rename(columns={m.group() + \"_Date\": 'Date'})\n",
    "        df = df.rename(columns={m.group() + \"_Time\": 'Time'})\n",
    "    count+=1 \n",
    "df['DateTime'] = pd.to_datetime(df['Date'] + ' ' + df['Time'])\n",
    "df = df.drop(['Date','Time'], axis=1)\n",
    "df.head()  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "1077bd3a-8788-4074-9ffc-8aa6f5733c63",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 2021-12-02 00:00:00\n",
      "dotdata1master01_cpu1                   hoge\n",
      "dotdata1master01_cpu2                   hoge\n",
      "dotdata1master02_cpu1                   hoge\n",
      "dotdata1master02_cpu2                   hoge\n",
      "dotdata1master01_mem1                   hoge\n",
      "dotdata1master01_mem2                   hoge\n",
      "dotdata1master02_mem1                   hoge\n",
      "dotdata1master02_mem2                   hoge\n",
      "DateTime                 2021-12-02 00:00:00\n",
      "Name: 1, dtype: object\n",
      "dotdata1master01_cpu1                    151\n",
      "dotdata1master01_cpu2                  77.04\n",
      "dotdata1master02_cpu1                    151\n",
      "dotdata1master02_cpu2                  77.04\n",
      "dotdata1master01_mem1                    151\n",
      "dotdata1master01_mem2                  77.04\n",
      "dotdata1master02_mem1                    151\n",
      "dotdata1master02_mem2                  77.04\n",
      "DateTime                 2021-12-01 23:59:50\n",
      "Name: 0, dtype: object\n",
      "dotdata1master01_cpu1                    151\n",
      "dotdata1master01_cpu2                  77.04\n",
      "dotdata1master02_cpu1                    151\n",
      "dotdata1master02_cpu2                  77.04\n",
      "dotdata1master01_mem1                    151\n",
      "dotdata1master01_mem2                  77.04\n",
      "dotdata1master02_mem1                    151\n",
      "dotdata1master02_mem2                  77.04\n",
      "DateTime                 2021-12-01 23:59:50\n",
      "Name: 1, dtype: object\n"
     ]
    }
   ],
   "source": [
    "for index, data in df.iterrows():\n",
    "    # data['名前'] = '匿名'\n",
    "    # print(index)\n",
    "    # print(data['DateTime'])\n",
    "    # re.search('00:00:00', data['DateTime'])\n",
    "    if re.search('00:00:00', str(data['DateTime'])) != None:\n",
    "        df.iloc[index,0::] = df.iloc[index-1,0::]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "6c7cd9eb-2c77-41a3-810b-0edd46b8502f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dotdata1master01_cpu1</th>\n",
       "      <th>dotdata1master01_cpu2</th>\n",
       "      <th>dotdata1master02_cpu1</th>\n",
       "      <th>dotdata1master02_cpu2</th>\n",
       "      <th>dotdata1master01_mem1</th>\n",
       "      <th>dotdata1master01_mem2</th>\n",
       "      <th>dotdata1master02_mem1</th>\n",
       "      <th>dotdata1master02_mem2</th>\n",
       "      <th>DateTime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>151</td>\n",
       "      <td>77.04</td>\n",
       "      <td>151</td>\n",
       "      <td>77.04</td>\n",
       "      <td>151</td>\n",
       "      <td>77.04</td>\n",
       "      <td>151</td>\n",
       "      <td>77.04</td>\n",
       "      <td>2021-12-01 23:59:50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>hoge</td>\n",
       "      <td>hoge</td>\n",
       "      <td>hoge</td>\n",
       "      <td>hoge</td>\n",
       "      <td>hoge</td>\n",
       "      <td>hoge</td>\n",
       "      <td>hoge</td>\n",
       "      <td>hoge</td>\n",
       "      <td>2021-12-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>151</td>\n",
       "      <td>77.04</td>\n",
       "      <td>151</td>\n",
       "      <td>77.04</td>\n",
       "      <td>151</td>\n",
       "      <td>77.04</td>\n",
       "      <td>151</td>\n",
       "      <td>77.04</td>\n",
       "      <td>2021-12-02 00:00:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>200</td>\n",
       "      <td>77.35</td>\n",
       "      <td>200</td>\n",
       "      <td>77.35</td>\n",
       "      <td>200</td>\n",
       "      <td>77.35</td>\n",
       "      <td>200</td>\n",
       "      <td>77.35</td>\n",
       "      <td>2021-12-02 00:00:20</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  dotdata1master01_cpu1 dotdata1master01_cpu2 dotdata1master02_cpu1  \\\n",
       "0                   151                 77.04                   151   \n",
       "1                  hoge                  hoge                  hoge   \n",
       "2                   151                 77.04                   151   \n",
       "3                   200                 77.35                   200   \n",
       "\n",
       "  dotdata1master02_cpu2 dotdata1master01_mem1 dotdata1master01_mem2  \\\n",
       "0                 77.04                   151                 77.04   \n",
       "1                  hoge                  hoge                  hoge   \n",
       "2                 77.04                   151                 77.04   \n",
       "3                 77.35                   200                 77.35   \n",
       "\n",
       "  dotdata1master02_mem1 dotdata1master02_mem2            DateTime  \n",
       "0                   151                 77.04 2021-12-01 23:59:50  \n",
       "1                  hoge                  hoge 2021-12-02 00:00:00  \n",
       "2                   151                 77.04 2021-12-02 00:00:10  \n",
       "3                   200                 77.35 2021-12-02 00:00:20  "
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}