20240804

体测单位/积家.ipynb

@@ -476,7 +476,7 @@
     "import csv\n",
     "\n",
     "list1 = []\n",
-    "filename = 'data/Survey_20231027.csv'\n",
+    "filename = 'data/Survey_20240801.csv'\n",
     "with open(filename,'r',newline='') as csv_file:\n",
     "    fl = csv.reader(csv_file,delimiter=',')\n",
     "    header = next(fl)    \n",
@@ -504,6 +504,99 @@
     "    "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "a51a346c-8a3a-425c-be76-940f11c2e1ab",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-08-03T14:02:17.514754Z",
+     "iopub.status.busy": "2024-08-03T14:02:17.514034Z",
+     "iopub.status.idle": "2024-08-03T14:02:17.581525Z",
+     "shell.execute_reply": "2024-08-03T14:02:17.580974Z",
+     "shell.execute_reply.started": "2024-08-03T14:02:17.514688Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "38\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "import datetime\n",
+    "import csv\n",
+    "\n",
+    "list1 = []\n",
+    "filename = 'data/Survey_20240801.csv'\n",
+    "with open(filename,'r',newline='') as csv_file:\n",
+    "    fl = csv.reader(csv_file,delimiter=',')\n",
+    "    header = next(fl)    \n",
+    "    for line in fl:\n",
+    "        #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
+    "        list1.append(line)\n",
+    "#print(list1)\n",
+    "list3 = []\n",
+    "dict1 = {}\n",
+    "bh = 1\n",
+    "for item in list1:\n",
+    "    phone = item[2]\n",
+    "    content = json.loads(item[5])\n",
+    "    name = content['name']\n",
+    "    sex = content['Gender']\n",
+    "    age = content['Age']\n",
+    "    del content['name']\n",
+    "    del content['Gender']\n",
+    "    del content['Age']\n",
+    "    for k, v in content.items():\n",
+    "        if 'O' in k:\n",
+    "            psy  =[]\n",
+    "            for i in range(1,31):\n",
+    "                m_key = 'q'+str(i)+'O'\n",
+    "                psy.append(content[m_key])\n",
+    "        elif 'M' in k:\n",
+    "            psy  =[]\n",
+    "            for i in range(1,48):\n",
+    "                m_key = 'q'+str(i)+'M'\n",
+    "                psy.append(content[m_key])\n",
+    "        elif 'qv' in k:\n",
+    "            spine =[]\n",
+    "            for i in range(1,27):\n",
+    "                m_key = 'qv'+str(i)\n",
+    "                if m_key in content.keys():\n",
+    "                    spine.append(content[m_key])\n",
+    "                else:\n",
+    "                    spine.append(0)\n",
+    "        \n",
+    "        else:\n",
+    "            tcm = []\n",
+    "            for i in range(1,61):\n",
+    "                m_key = 'q'+str(i)\n",
+    "                if m_key in content.keys():\n",
+    "                    tcm.append(content[m_key])\n",
+    "                else:\n",
+    "                    tcm.append(0)\n",
+    "        dict1.setdefault(bh,{})\n",
+    "        #print(spine)\n",
+    "        dict1[bh]['name'] = name\n",
+    "        dict1[bh]['sex'] = sex\n",
+    "        dict1[bh]['age'] = age\n",
+    "        dict1[bh]['psy'] = psy\n",
+    "        dict1[bh]['tcm'] = tcm\n",
+    "        dict1[bh]['spine'] = spine\n",
+    "    bh += 1        \n",
+    "    #list3.append(list2)\n",
+    "filename = 'data/积家基础数据240801.json'\n",
+    "\n",
+    "with open(filename,'w') as fl:\n",
+    "    json.dump(dict1, fl, ensure_ascii=False) \n",
+    "print(len(dict1))"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "5ab7d644-c90a-4877-9abf-6d4bd88ef3ef",
@@ -805,7 +898,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.12.3"
   }
  },
  "nbformat": 4,