知微
fa45d8aa5f
- health_checklist.json: 192.168.1.122→node122
- ocr_client.py: docstring IP→node122
- docs/market-data-requirements.md: IP→node122
- 所有API调用通过ProxyHandler({})绕过系统代理
Privoxy对node122:18003返回500，直连正常
98 lines
3.3 KiB
Python
98 lines
3.3 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2023/6/13 22:05
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Desc: 柯桥时尚指数
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http://ss.kqindex.cn:9559/rinder_web_kqsszs/index/index_page.do
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"""
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import pandas as pd
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import requests
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def index_kq_fashion(symbol: str = "时尚创意指数") -> pd.DataFrame:
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"""
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柯桥时尚指数
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http://ss.kqindex.cn:9559/rinder_web_kqsszs/index/index_page.do
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:param symbol: choice of {'柯桥时尚指数', '时尚创意指数', '时尚设计人才数', '新花型推出数', '创意产品成交数', '创意企业数量', '时尚活跃度指数', '电商运行数', '时尚平台拓展数', '新产品销售额占比', '企业合作占比', '品牌传播费用', '时尚推广度指数', '国际交流合作次数', '企业参展次数', '外商驻点数量变化', '时尚评价指数'}
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:type symbol: str
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:return: 柯桥时尚指数及其子项数据
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:rtype: pandas.DataFrame
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"""
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url = "http://api.idx365.com/index/project/34/data"
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symbol_map = {
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"柯桥时尚指数": "root",
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"时尚创意指数": "01",
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"时尚设计人才数": "0101",
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"新花型推出数": "0102",
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"创意产品成交数": "0103",
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"创意企业数量": "0104",
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"时尚活跃度指数": "02",
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"电商运行数": "0201",
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"时尚平台拓展数": "0201",
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"新产品销售额占比": "0201",
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"企业合作占比": "0201",
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"品牌传播费用": "0201",
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"时尚推广度指数": "03",
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"国际交流合作次数": "0301",
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"企业参展次数": "0302",
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"外商驻点数量变化": "0302",
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"时尚评价指数": "04",
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}
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params = {"structCode": symbol_map[symbol]}
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r = requests.get(url, params=params)
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data_json = r.json()
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temp_df = pd.DataFrame(data_json["data"])
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temp_df.rename(
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columns={
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"id": "_",
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"indexValue": "指数",
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"lastValue": "_",
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"projId": "_",
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"publishTime": "日期",
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"sameValue": "_",
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"stageId": "_",
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"structCode": "_",
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"structName": "_",
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"version": "_",
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},
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inplace=True,
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)
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temp_df = temp_df[
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[
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"日期",
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"指数",
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]
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]
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temp_df["日期"] = pd.to_datetime(temp_df["日期"]).dt.date
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temp_df.sort_values("日期", inplace=True)
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temp_df["涨跌值"] = temp_df["指数"].diff()
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temp_df["涨跌幅"] = temp_df["指数"].pct_change()
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temp_df.sort_values("日期", ascending=True, inplace=True, ignore_index=True)
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return temp_df
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if __name__ == "__main__":
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for item in [
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"柯桥时尚指数",
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"时尚创意指数",
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"时尚设计人才数",
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"新花型推出数",
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"创意产品成交数",
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"创意企业数量",
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"时尚活跃度指数",
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"电商运行数",
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"时尚平台拓展数",
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"新产品销售额占比",
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"企业合作占比",
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"品牌传播费用",
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"时尚推广度指数",
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"国际交流合作次数",
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"企业参展次数",
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"外商驻点数量变化",
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"时尚评价指数",
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]:
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index_kq_fashion_df = index_kq_fashion(symbol=item)
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print(item)
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print(index_kq_fashion_df)
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