diff --git a/体测单位/天津石化.ipynb b/体测单位/天津石化.ipynb
index f7ac6a2..a07a5fc 100644
--- a/体测单位/天津石化.ipynb
+++ b/体测单位/天津石化.ipynb
@@ -172,27 +172,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "id": "27529013-f3de-4e23-980d-f62203e4df88",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2022-11-30T10:12:53.515296Z",
-     "iopub.status.busy": "2022-11-30T10:12:53.514432Z",
-     "iopub.status.idle": "2022-11-30T10:12:55.337907Z",
-     "shell.execute_reply": "2022-11-30T10:12:55.337125Z",
-     "shell.execute_reply.started": "2022-11-30T10:12:53.515185Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ok\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "import openpyxl\n",
@@ -451,17 +436,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "id": "ed681a0d-4ee8-48ec-ab05-23da7156a44e",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2022-11-26T18:05:46.062534Z",
-     "iopub.status.busy": "2022-11-26T18:05:46.062001Z",
-     "iopub.status.idle": "2022-11-26T18:05:46.353459Z",
-     "shell.execute_reply": "2022-11-26T18:05:46.352749Z",
-     "shell.execute_reply.started": "2022-11-26T18:05:46.062456Z"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import json\n",
@@ -665,27 +642,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "id": "c21efc40-2639-4b22-851f-925cd3f12d3a",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2022-12-02T01:57:12.001357Z",
-     "iopub.status.busy": "2022-12-02T01:57:12.001077Z",
-     "iopub.status.idle": "2022-12-02T01:57:12.883178Z",
-     "shell.execute_reply": "2022-12-02T01:57:12.882427Z",
-     "shell.execute_reply.started": "2022-12-02T01:57:12.001330Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ok!\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "import openpyxl\n",
@@ -720,613 +682,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "id": "6b8ae75d-71a3-4cbe-a216-03c28d78156c",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2022-12-02T01:52:28.990631Z",
-     "iopub.status.busy": "2022-12-02T01:52:28.990331Z",
-     "iopub.status.idle": "2022-12-02T01:52:29.019041Z",
-     "shell.execute_reply": "2022-12-02T01:52:29.018243Z",
-     "shell.execute_reply.started": "2022-12-02T01:52:28.990609Z"
-    }
+    "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
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-      "1736565\n",
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-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "import openpyxl\n",
@@ -1344,10 +705,147 @@
     "        print(line[4])"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "20e98f0d-61ea-43a5-8993-9656fed23099",
+   "metadata": {},
+   "source": [
+    "## 体检报告统计分析"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0436a3a2-6230-43b3-beae-bc89e789b285",
+   "metadata": {},
+   "source": [
+    "### excel数据导入"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 113,
+   "id": "7bb2e3aa-591d-4fce-983a-cde5d4c30e56",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-01-09T13:24:29.720040Z",
+     "iopub.status.busy": "2023-01-09T13:24:29.719490Z",
+     "iopub.status.idle": "2023-01-09T13:24:30.627490Z",
+     "shell.execute_reply": "2023-01-09T13:24:30.626140Z",
+     "shell.execute_reply.started": "2023-01-09T13:24:29.719971Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ok\n"
+     ]
+    }
+   ],
+   "source": [
+    "import openpyxl\n",
+    "import json\n",
+    "import re\n",
+    "\n",
+    "wb = openpyxl.load_workbook('data/体检结果(模板)化工.xlsx')\n",
+    "sheet = wb.active\n",
+    "# sheets = wb.sheetnames\n",
+    "dict1 = {}\n",
+    "\n",
+    "for n in range(11, sheet.max_row+1):\n",
+    "    code = sheet.cell(n, 1).value\n",
+    "    name = sheet.cell(n, 8).value\n",
+    "    txt = sheet[f'DT{str(n)}'].value \n",
+    "    txt = re.sub(r'\\n', \"\", txt)\n",
+    "    txt = re.sub(r'\\t', \"\", txt)\n",
+    "    txt = re.sub(r'二、尊敬的顾客您好,您本次体检的建议信息如下：', \"\", txt)\n",
+    "    ss = r'三、温馨提示： 鉴于医学技术发展的局限性，个体间可能存在的生物差异性以及您选择的检查项目的局限性，任何一次医学检查的手段和方法都不具备绝对的特异性和灵敏度，对于疾病筛检仍有其盲点，因此，我们建议您对本次检查的异常结果进行随诊复查和其他相关检查，以获得更可靠的医学证据建立准确地医学判断。'\n",
+    "    txt1 = re.sub(r'三、温馨提示.*', \"\", txt,re.S)\n",
+    "    dict1.setdefault(code, {})\n",
+    "    dict1[code]['name'] = name\n",
+    "    dict1[code]['xb'] = sheet.cell(n, 9).value\n",
+    "    #dict1[code]['birth'] = sheet.cell(n, 10).value\n",
+    "    dict1[code]['report'] = txt1\n",
+    "filename = 'data/体检结果.json'\n",
+    "with open(filename,'w') as fl:\n",
+    "    json.dump(dict1, fl, ensure_ascii=False) \n",
+    "print('ok')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "227a1c0b-fc78-4951-97ab-5664b59edd1d",
+   "metadata": {},
+   "source": [
+    "### 体检结果分解"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 118,
+   "id": "b38aef28-5d1b-4762-9c7e-70a531594fa4",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-01-09T13:32:31.923948Z",
+     "iopub.status.busy": "2023-01-09T13:32:31.923410Z",
+     "iopub.status.idle": "2023-01-09T13:32:32.253445Z",
+     "shell.execute_reply": "2023-01-09T13:32:32.252452Z",
+     "shell.execute_reply.started": "2023-01-09T13:32:31.923900Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ok!\n"
+     ]
+    }
+   ],
+   "source": [
+    "import openpyxl\n",
+    "import json\n",
+    "import re\n",
+    "\n",
+    "mo1 = r'[0-9]、'\n",
+    "mo2 = '【.*】'\n",
+    "filename = 'data/体检结果.json'\n",
+    "list3 = []\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "for k, v in dict1.items():\n",
+    "    \n",
+    "    ss = v['report']\n",
+    "    list1 = re.split(mo1,ss)\n",
+    "    if len(list1) ==1:\n",
+    "        continue\n",
+    "    else:\n",
+    "        list1.remove('')\n",
+    "        #print(list1)\n",
+    "        for item in list1:\n",
+    "            list2 = re.search( mo2, item)\n",
+    "            xm =list2.group()\n",
+    "            \n",
+    "            txt = item.replace(xm,'').strip()\n",
+    "            list3.append([k,v['name'],v['xb'],xm,txt])\n",
+    "filename = 'data/症状表.xlsx'\n",
+    "wb = openpyxl.Workbook()\n",
+    "sheet = wb.active\n",
+    "\n",
+    "for row in list3:\n",
+    "    sheet.append(row)\n",
+    "    \n",
+    "wb.save(filename)\n",
+    "print('ok!')"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5d53a23c-3fbd-4b57-926b-bc7f61a12be2",
+   "id": "a4c24e30-f4e0-46e9-a22e-5460a73a14c8",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -1355,7 +853,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -1369,7 +867,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,