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512song committed 2024-08-28 22:46:30 +08:00
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@@ -92,6 +92,52 @@
"print('ok')"
]
},
{
"cell_type": "markdown",
"id": "691cbb33-47df-4235-8e20-78fb1b5aafc0",
"metadata": {},
"source": [
"## 转换人员信息"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "be91abd1-4f95-4d82-9adb-4a38464a0f0e",
"metadata": {
"execution": {
"iopub.execute_input": "2024-08-11T10:46:44.484824Z",
"iopub.status.busy": "2024-08-11T10:46:44.484083Z",
"iopub.status.idle": "2024-08-11T10:46:44.496331Z",
"shell.execute_reply": "2024-08-11T10:46:44.495225Z",
"shell.execute_reply.started": "2024-08-11T10:46:44.484756Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"12\n"
]
}
],
"source": [
"import json\n",
"\n",
"filename = 'data/世纪花园基础数据240808.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"\n",
"dict2 = {}\n",
"for k, v in dict1.items():\n",
" dict1[k]['phone'] = str(k)\n",
"\n",
"with open(filename,'w') as fl:\n",
" json.dump(dict1, fl, ensure_ascii=False) \n",
"print(len(dict1))"
]
},
{
"cell_type": "markdown",
"id": "0dc90cf8-0a51-49ab-8f93-81acfd359e63",
@@ -492,6 +538,106 @@
" "
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "563d553e-1629-458b-ad03-4abfeb9fbc7f",
"metadata": {
"execution": {
"iopub.execute_input": "2024-08-07T23:49:52.126604Z",
"iopub.status.busy": "2024-08-07T23:49:52.125976Z",
"iopub.status.idle": "2024-08-07T23:49:52.148956Z",
"shell.execute_reply": "2024-08-07T23:49:52.148516Z",
"shell.execute_reply.started": "2024-08-07T23:49:52.126549Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"12\n"
]
}
],
"source": [
"import json\n",
"import datetime\n",
"import csv\n",
"\n",
"list1 = []\n",
"filename = 'data/Survey_20240808.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[1]\n",
" content = json.loads(item[5])\n",
" \n",
" name = content['name']\n",
" sex = content['gender']\n",
" birth = content['birth']\n",
" unit = content['unit']\n",
" del content['name']\n",
" del content['gender']\n",
" del content['birth']\n",
" del content['unit'] \n",
" for k, v in content.items(): \n",
" if 'O' in k:\n",
" age = 'O'\n",
" psy =[]\n",
" for i in range(1,31):\n",
" m_key = 'q'+str(i)+'O'\n",
" psy.append(content[m_key])\n",
" if 'M' in k:\n",
" psy =[]\n",
" age = 'M'\n",
" for i in range(1,48):\n",
" m_key = 'q'+str(i)+'M'\n",
" psy.append(content[m_key])\n",
" if '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",
" if 'v' in k:\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(phone,{})\n",
" \n",
" dict1[phone]['name'] = name\n",
" dict1[phone]['sex'] = sex\n",
" dict1[phone]['birth'] = birth\n",
" dict1[phone]['age'] = age\n",
" dict1[phone]['unit'] = unit\n",
" dict1[phone]['psy'] = psy\n",
" dict1[phone]['spine'] = spine\n",
" dict1[phone]['tcm'] = tcm\n",
" \n",
" \n",
" #list3.append(list2)\n",
"filename = 'data/世纪花园基础数据240808.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",
@@ -633,7 +779,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.12"
"version": "3.12.3"
}
},
"nbformat": 4,