This commit is contained in:
512song committed 2023-11-06 19:53:58 +08:00
1 parent e16507c521
commit bba9432c49
1 file changed
+98 -14
+98 -14
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@@ -4,6 +4,7 @@
"cell_type": "markdown",
"id": "1c72f0cf-165b-4025-af9d-6771e4a0a5d1",
"metadata": {
"jp-MarkdownHeadingCollapsed": true,
"tags": [],
"toc-hr-collapsed": true
},
@@ -648,7 +649,10 @@
{
"cell_type": "markdown",
"id": "1ab2aa22-5cc2-4f53-a28d-b30b1ecab15f",
"metadata": {},
"metadata": {
"jp-MarkdownHeadingCollapsed": true,
"tags": []
},
"source": [
"## 人员信息处理"
]
@@ -1103,15 +1107,15 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 8,
"id": "0bafbf66-c909-413e-a9c1-c1a5f9c22953",
"metadata": {
"execution": {
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},
"tags": []
},
@@ -1160,15 +1164,15 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 9,
"id": "ff1e0a37-6119-4f64-8e05-4d25cb144817",
"metadata": {
"execution": {
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"tags": []
},
@@ -1203,10 +1207,90 @@
"print('ok')"
]
},
{
"cell_type": "markdown",
"id": "405f3461-fcef-47d4-a88b-a2975f8d522f",
"metadata": {},
"source": [
"## 获取人员测试成绩"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "1aa45b35-7376-4c50-8275-79b090a6c758",
"metadata": {
"execution": {
"iopub.execute_input": "2023-11-06T11:49:54.423587Z",
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},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"88\n",
"88\n"
]
}
],
"source": [
"import json\n",
"import time\n",
"import csv\n",
"\n",
"filename = '../item.json'\n",
"item = {}\n",
"unit = {}\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"for k,v in dict1.items():\n",
" item[k] = v\n",
"re_ta = {}\n",
"dict1 = {}\n",
"list1 = []\n",
"filename = 'data/北海炼化2023年.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"\n",
"filename = 'data/places_result_20231106.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",
"for result in list1:\n",
" user = str(result[2])\n",
" if user in dict1.keys(): \n",
" m_item = str(result[3]) \n",
" re_ta.setdefault(user,{}) \n",
" re_ta[user]['name'] = dict1[user]['name']\n",
" re_ta[user]['sex'] = dict1[user]['sex'] \n",
" re_ta[user]['unit'] = dict1[user]['unit']\n",
" item_name = item[m_item]['name']\n",
" re_ta[user].setdefault(item_name,{}) \n",
" score = int(result[4])/item[m_item]['divisor'] \n",
" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
" re_ta[user]['rq'] = str(result[6]) \n",
"print(len(re_ta))\n",
"filename = 'data/result_北海炼化2023.json'\n",
"\n",
"with open(filename,'w') as fl:\n",
" json.dump(re_ta, fl, ensure_ascii=False) \n",
"print(len(re_ta))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "43af17bf-d80a-4c04-8bb3-25c192c9443f",
"id": "56ad2623-c435-4161-a55e-18899c6134ea",
"metadata": {},
"outputs": [],
"source": []