{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sqlalchemy import create_engine\n",
    "mysql_user = 'root'\n",
    "mysql_password = 'qx123456'\n",
    "mysql_host = 'algo-dev-internal.li-ai.com.cn'\n",
    "mysql_port = 3306\n",
    "mysql_db = 'aiomp'\n",
    "\n",
    "db_engine = create_engine(\"mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8\".format(mysql_user, mysql_password, mysql_host, mysql_port, mysql_db),\n",
    "                            pool_recycle=7200,pool_size=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "sql=\"select  *  from plclog  where  substr(time,1,10)='2023-05-31' and steps=6 \""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=pd.read_sql_query(sql, db_engine)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(22180, 114)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "tar_list=[\"time\",\"change_flag\",\"pressure_1\",\"pressure_3\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_s=data[tar_list]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>time</th>\n",
       "      <th>change_flag</th>\n",
       "      <th>pressure_1</th>\n",
       "      <th>pressure_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-05-31 00:00:21.738</td>\n",
       "      <td>1</td>\n",
       "      <td>117.0</td>\n",
       "      <td>17.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-05-31 00:00:21.838</td>\n",
       "      <td>1</td>\n",
       "      <td>117.0</td>\n",
       "      <td>17.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-05-31 00:00:21.938</td>\n",
       "      <td>1</td>\n",
       "      <td>118.4</td>\n",
       "      <td>17.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-05-31 00:00:22.038</td>\n",
       "      <td>1</td>\n",
       "      <td>118.4</td>\n",
       "      <td>17.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-05-31 00:00:22.138</td>\n",
       "      <td>1</td>\n",
       "      <td>118.4</td>\n",
       "      <td>17.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22175</th>\n",
       "      <td>2023-05-31 23:57:05.038</td>\n",
       "      <td>419</td>\n",
       "      <td>868.9</td>\n",
       "      <td>635.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22176</th>\n",
       "      <td>2023-05-31 23:57:05.138</td>\n",
       "      <td>419</td>\n",
       "      <td>868.9</td>\n",
       "      <td>641.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22177</th>\n",
       "      <td>2023-05-31 23:57:05.238</td>\n",
       "      <td>419</td>\n",
       "      <td>868.9</td>\n",
       "      <td>641.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22178</th>\n",
       "      <td>2023-05-31 23:57:05.338</td>\n",
       "      <td>419</td>\n",
       "      <td>873.1</td>\n",
       "      <td>641.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22179</th>\n",
       "      <td>2023-05-31 23:57:05.438</td>\n",
       "      <td>419</td>\n",
       "      <td>873.1</td>\n",
       "      <td>641.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>22180 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         time  change_flag  pressure_1  pressure_3\n",
       "0     2023-05-31 00:00:21.738            1       117.0        17.4\n",
       "1     2023-05-31 00:00:21.838            1       117.0        17.4\n",
       "2     2023-05-31 00:00:21.938            1       118.4        17.4\n",
       "3     2023-05-31 00:00:22.038            1       118.4        17.4\n",
       "4     2023-05-31 00:00:22.138            1       118.4        17.4\n",
       "...                       ...          ...         ...         ...\n",
       "22175 2023-05-31 23:57:05.038          419       868.9       635.2\n",
       "22176 2023-05-31 23:57:05.138          419       868.9       641.3\n",
       "22177 2023-05-31 23:57:05.238          419       868.9       641.3\n",
       "22178 2023-05-31 23:57:05.338          419       873.1       641.3\n",
       "22179 2023-05-31 23:57:05.438          419       873.1       641.3\n",
       "\n",
       "[22180 rows x 4 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_describe=data_s.groupby(['change_flag']).agg({'pressure_1':['max','last'],\n",
    "                                                   'pressure_3':['max','last']\n",
    "                                                                })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_describe=data_describe.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_describe.columns=[\"change_flag\",\"pres_1_max\",\"pres_1_last\",\"pres_3_max\",\"pres_3_last\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>change_flag</th>\n",
       "      <th>pres_1_max</th>\n",
       "      <th>pres_1_last</th>\n",
       "      <th>pres_3_max</th>\n",
       "      <th>pres_3_last</th>\n",
       "    </tr>\n",
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       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1224.9</td>\n",
       "      <td>792.9</td>\n",
       "      <td>721.2</td>\n",
       "      <td>704.6</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>1377.5</td>\n",
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       "      <td>674.6</td>\n",
       "      <td>622.7</td>\n",
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       "    <tr>\n",
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       "      <td>5</td>\n",
       "      <td>1173.4</td>\n",
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       "      <td>1358.8</td>\n",
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       "      <td>698.6</td>\n",
       "      <td>618.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9</td>\n",
       "      <td>1171.7</td>\n",
       "      <td>805.5</td>\n",
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       "      <td>674.0</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>411</td>\n",
       "      <td>1324.8</td>\n",
       "      <td>783.8</td>\n",
       "      <td>716.9</td>\n",
       "      <td>686.9</td>\n",
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       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>413</td>\n",
       "      <td>1192.2</td>\n",
       "      <td>851.9</td>\n",
       "      <td>711.9</td>\n",
       "      <td>649.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>415</td>\n",
       "      <td>1444.0</td>\n",
       "      <td>865.2</td>\n",
       "      <td>665.1</td>\n",
       "      <td>625.5</td>\n",
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       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>417</td>\n",
       "      <td>1152.1</td>\n",
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       "      <td>716.7</td>\n",
       "      <td>700.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>419</td>\n",
       "      <td>1363.4</td>\n",
       "      <td>873.1</td>\n",
       "      <td>762.8</td>\n",
       "      <td>641.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>203 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     change_flag  pres_1_max  pres_1_last  pres_3_max  pres_3_last\n",
       "0              1      1224.9        792.9       721.2        704.6\n",
       "1              3      1377.5        852.3       674.6        622.7\n",
       "2              5      1173.4        734.1       785.8        756.3\n",
       "3              7      1358.8        852.6       698.6        618.0\n",
       "4              9      1171.7        805.5       713.8        674.0\n",
       "..           ...         ...          ...         ...          ...\n",
       "198          411      1324.8        783.8       716.9        686.9\n",
       "199          413      1192.2        851.9       711.9        649.4\n",
       "200          415      1444.0        865.2       665.1        625.5\n",
       "201          417      1152.1        828.1       716.7        700.6\n",
       "202          419      1363.4        873.1       762.8        641.3\n",
       "\n",
       "[203 rows x 5 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_describe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_describe[\"pres_1_delta\"]=data_describe[\"pres_1_max\"]-data_describe[\"pres_1_last\"]\n",
    "data_describe[\"pres_3_delta\"]=data_describe[\"pres_3_max\"]-data_describe[\"pres_3_last\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>pres_1_last</th>\n",
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       "      <td>432.0</td>\n",
       "      <td>16.6</td>\n",
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       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>1377.5</td>\n",
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       "      <td>506.2</td>\n",
       "      <td>80.6</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9</td>\n",
       "      <td>1171.7</td>\n",
       "      <td>805.5</td>\n",
       "      <td>713.8</td>\n",
       "      <td>674.0</td>\n",
       "      <td>366.2</td>\n",
       "      <td>39.8</td>\n",
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       "      <td>783.8</td>\n",
       "      <td>716.9</td>\n",
       "      <td>686.9</td>\n",
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       "      <th>199</th>\n",
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       "      <td>851.9</td>\n",
       "      <td>711.9</td>\n",
       "      <td>649.4</td>\n",
       "      <td>340.3</td>\n",
       "      <td>62.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>415</td>\n",
       "      <td>1444.0</td>\n",
       "      <td>865.2</td>\n",
       "      <td>665.1</td>\n",
       "      <td>625.5</td>\n",
       "      <td>578.8</td>\n",
       "      <td>39.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>417</td>\n",
       "      <td>1152.1</td>\n",
       "      <td>828.1</td>\n",
       "      <td>716.7</td>\n",
       "      <td>700.6</td>\n",
       "      <td>324.0</td>\n",
       "      <td>16.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>419</td>\n",
       "      <td>1363.4</td>\n",
       "      <td>873.1</td>\n",
       "      <td>762.8</td>\n",
       "      <td>641.3</td>\n",
       "      <td>490.3</td>\n",
       "      <td>121.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>203 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     change_flag  pres_1_max  pres_1_last  pres_3_max  pres_3_last  \\\n",
       "0              1      1224.9        792.9       721.2        704.6   \n",
       "1              3      1377.5        852.3       674.6        622.7   \n",
       "2              5      1173.4        734.1       785.8        756.3   \n",
       "3              7      1358.8        852.6       698.6        618.0   \n",
       "4              9      1171.7        805.5       713.8        674.0   \n",
       "..           ...         ...          ...         ...          ...   \n",
       "198          411      1324.8        783.8       716.9        686.9   \n",
       "199          413      1192.2        851.9       711.9        649.4   \n",
       "200          415      1444.0        865.2       665.1        625.5   \n",
       "201          417      1152.1        828.1       716.7        700.6   \n",
       "202          419      1363.4        873.1       762.8        641.3   \n",
       "\n",
       "     pres_1_delta  pres_3_delta  \n",
       "0           432.0          16.6  \n",
       "1           525.2          51.9  \n",
       "2           439.3          29.5  \n",
       "3           506.2          80.6  \n",
       "4           366.2          39.8  \n",
       "..            ...           ...  \n",
       "198         541.0          30.0  \n",
       "199         340.3          62.5  \n",
       "200         578.8          39.6  \n",
       "201         324.0          16.1  \n",
       "202         490.3         121.5  \n",
       "\n",
       "[203 rows x 7 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_describe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.figure(figsize=(16,4))\n",
    "plt.plot(range(len(data_describe[\"pres_1_delta\"])), data_describe[\"pres_1_delta\"], label='press1',color='r')\n",
    "plt.plot(range(len(data_describe[\"pres_3_delta\"])), data_describe[\"pres_3_delta\"], label='press3',color='b')\n",
    "\n",
    "# 添加图例\n",
    "plt.legend()\n",
    "\n",
    "# 添加标题和标签\n",
    "plt.title('press')\n",
    "plt.xlabel('change_id')\n",
    "plt.ylabel('press')\n",
    "\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "py3916",
   "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": "3.9.16"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}