20231114
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@@ -650,7 +650,6 @@
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"cell_type": "markdown",
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"id": "1ab2aa22-5cc2-4f53-a28d-b30b1ecab15f",
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true,
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"tags": []
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},
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"source": [
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@@ -1109,15 +1108,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 104,
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"execution_count": 106,
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"metadata": {
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@@ -1220,15 +1219,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"execution_count": 107,
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"id": "1aa45b35-7376-4c50-8275-79b090a6c758",
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"metadata": {
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"execution": {
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"tags": []
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},
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@@ -1237,8 +1236,8 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"607\n",
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"607\n"
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"697\n",
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"697\n"
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]
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}
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],
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@@ -1261,7 +1260,7 @@
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"\n",
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"filename = 'data/places_result_20231111.csv'\n",
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"filename = 'data/places_result_20231114.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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@@ -1344,10 +1343,104 @@
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"wb.save(filename)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "c410f403-5c93-4a03-a06b-900ecd08a1b4",
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"metadata": {},
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"source": [
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"## 导入问卷信息"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 113,
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"id": "63d5bccf-7351-4a08-863d-b1ca3b263eca",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-11-14T06:14:23.732763Z",
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"shell.execute_reply": "2023-11-14T06:14:23.788550Z",
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"shell.execute_reply.started": "2023-11-14T06:14:23.732734Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"ename": "ValueError",
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"evalue": "invalid literal for int() with base 10: 'ender'",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[113], line 38\u001b[0m\n\u001b[1;32m 36\u001b[0m list2\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;241m0\u001b[39m)\n\u001b[1;32m 37\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m k, v \u001b[38;5;129;01min\u001b[39;00m content\u001b[38;5;241m.\u001b[39mitems():\n\u001b[0;32m---> 38\u001b[0m i \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mint\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mk\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 39\u001b[0m list2[i\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m=\u001b[39m v\n\u001b[1;32m 40\u001b[0m dict2[item[\u001b[38;5;241m2\u001b[39m]] \u001b[38;5;241m=\u001b[39m list2\n",
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"\u001b[0;31mValueError\u001b[0m: invalid literal for int() with base 10: 'ender'"
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]
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}
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],
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"source": [
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"import json\n",
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"import csv\n",
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"import openpyxl\n",
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"import time\n",
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"from datetime import date\n",
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"\n",
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"filename = 'data/result_北海炼化2023.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"\n",
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"filename = 'data/北海炼化2023年.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict3 = json.load(fl)\n",
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"\n",
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"phone = set()\n",
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"phone1 = set()\n",
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"for k,v in dict3.items():\n",
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" if 'phone' in v.keys():\n",
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" phone.add(v['phone'])\n",
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"list1 = []\n",
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"filename = 'data/Survey_20231114.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"dict2 = {}\n",
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"m_rq = '2023-11-14'\n",
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"rq= date.fromisoformat(m_rq.replace('/','-'))\n",
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"for item in list1:\n",
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" if item[2] in phone: \n",
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" content = json.loads(item[5])\n",
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" list2 = []\n",
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" for i in range(0,60):\n",
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" list2.append(0)\n",
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" for k, v in content.items():\n",
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" i = int(k[1:])\n",
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" list2[i-1] = v\n",
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" dict2[item[2]] = list2\n",
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"print(dict2) \n",
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"for k, v in dict3.items():\n",
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" if 'phone' in v.keys() and v['phone'] in dict2.keys():\n",
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" if k not in dict1.keys():\n",
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" dict1.setdefault(k,{})\n",
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" dict1[k] = dict3[k]\n",
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" days = (rq-birth).days \n",
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" dict1[k]['age'] = int(days/365)\n",
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" dict1[k]['month'] = int(days/365*12)\n",
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" \n",
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" dict1[k]['tcm'] = dict2[str(v['phone'])]\n",
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" \n",
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"filename = 'data/result_北海炼化new.json'\n",
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"\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict1, fl, ensure_ascii=False) "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "7111dc19-387c-4e4d-bfed-0273cf0809fb",
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"id": "c0128f52-8697-4258-aba0-89a522fb9cc0",
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"metadata": {},
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"outputs": [],
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"source": []
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