20231111

体测单位/天津石化.ipynb

@@ -2250,16 +2250,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 244,
+   "execution_count": null,
    "id": "3fa6a1a9-63af-4f4e-9d30-b94f4357f7dc",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-11-09T12:42:37.907963Z",
-     "iopub.status.busy": "2023-11-09T12:42:37.907493Z",
-     "iopub.status.idle": "2023-11-09T12:42:38.065986Z",
-     "shell.execute_reply": "2023-11-09T12:42:38.065489Z",
-     "shell.execute_reply.started": "2023-11-09T12:42:37.907926Z"
-    },
     "tags": []
    },
    "outputs": [],
@@ -2291,16 +2284,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 245,
+   "execution_count": null,
    "id": "3f75763f-79bd-4a8c-9612-2eba89ce32f1",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-11-09T12:42:42.685877Z",
-     "iopub.status.busy": "2023-11-09T12:42:42.685491Z",
-     "iopub.status.idle": "2023-11-09T12:42:43.010658Z",
-     "shell.execute_reply": "2023-11-09T12:42:43.010150Z",
-     "shell.execute_reply.started": "2023-11-09T12:42:42.685846Z"
-    },
     "tags": []
    },
    "outputs": [],
@@ -3097,10 +3083,73 @@
     "    print()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "d3d9d517-61e5-4c4c-bddb-1f386a518d99",
+   "metadata": {},
+   "source": [
+    "## 倒班人员数据分析"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6b0b8d09-ce15-4a36-9421-251ab50ae706",
+   "metadata": {},
+   "source": [
+    "### 倒班员工数据导入"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 253,
+   "id": "518a1e40-d383-4d78-a4ea-224ddab49b79",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-11-10T13:59:53.477003Z",
+     "iopub.status.busy": "2023-11-10T13:59:53.476599Z",
+     "iopub.status.idle": "2023-11-10T13:59:54.275449Z",
+     "shell.execute_reply": "2023-11-10T13:59:54.274890Z",
+     "shell.execute_reply.started": "2023-11-10T13:59:53.476972Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1726\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "import openpyxl\n",
+    "\n",
+    "\n",
+    "filename = 'data/data_天津231017.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "\n",
+    "    \n",
+    "wb = openpyxl.load_workbook('data/员工个人基础信息-倒班.xlsx')\n",
+    "sheet = wb.active\n",
+    "# sheets = wb.sheetnames\n",
+    "dict2 = {}\n",
+    "i = 1\n",
+    "for n in range(2, sheet.max_row+1):\n",
+    "    if sheet.cell(n, 1).value is not None:\n",
+    "        code = int(sheet.cell(n, 1).value)\n",
+    "        daoban = sheet.cell(n, 6).value\n",
+    "        if str(code) in dict1.keys() and daoban == '倒班':\n",
+    "            dict2[str(code)] = dict1[str(code)]\n",
+    "print(len(dict2))"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2ed551b0-85d5-40d4-8cc1-fd0a0c330ad9",
+   "id": "08167b05-8719-41c9-a71d-57906a55eb63",
    "metadata": {},
    "outputs": [],
    "source": []