101 lines
2.2 KiB
Plaintext
101 lines
2.2 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "86c59eaa-b1fd-47f3-aa0d-3ad3626df3bf",
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"metadata": {},
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"source": [
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"# 中医体质管理"
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]
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},
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{
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"cell_type": "markdown",
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"id": "e791846d-699f-4803-b898-bda8f1a30dd2",
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"metadata": {},
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"source": [
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"## 中医体质数据管理"
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]
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},
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{
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"cell_type": "markdown",
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"id": "19cd094e-8228-4f21-9897-9e8bef990d4e",
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"metadata": {},
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"source": [
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"### 体质监测数据生成"
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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": 9,
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"id": "1f58bd08-d20b-4a76-a841-ac7e132a54b7",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-08-05T05:39:03.670486Z",
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"iopub.status.busy": "2022-08-05T05:39:03.669966Z",
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"iopub.status.idle": "2022-08-05T05:39:03.705022Z",
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"shell.execute_reply": "2022-08-05T05:39:03.703508Z",
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"shell.execute_reply.started": "2022-08-05T05:39:03.670438Z"
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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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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok\n"
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]
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}
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],
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"source": [
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"import re\n",
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"import json\n",
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"\n",
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"file_name = 'data/132.txt'\n",
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"list1 =[]\n",
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"dict1 = {}\n",
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"with open(file_name,'r') as fl:\n",
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" for l in fl:\n",
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" list2 = []\n",
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" l = re.sub('[\\r\\n\\f ]{1,}', '', l)\n",
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" list2 = l.split(',')\n",
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" if list2[0] != '' and list2[5] != '':\n",
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" dict1[list2[0]] = [list2[1],list2[2],list2[3],list2[4],list2[5]+list2[6]]\n",
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"filename = 'data/132中医体质.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict1, fl) \n",
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"print('ok')"
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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": "400f6c4b-8a67-4872-a912-a0aad86e923c",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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