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
50 lines
1.4 KiB
Python
50 lines
1.4 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2024/7/22 17:30
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Desc: 申万宏源研究-行业分类
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http://www.swhyresearch.com/institute_sw/allIndex/downloadCenter/industryType
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"""
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import io
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import pandas as pd
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import requests
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from akshare.utils.cons import headers
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def stock_industry_clf_hist_sw() -> pd.DataFrame:
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"""
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申万宏源研究-行业分类-全部行业分类
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https://www.swsresearch.com/swindex/pdf/SwClass2021/StockClassifyUse_stock.xls
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:return: 个股行业分类变动历史
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:rtype: pandas.DataFrame
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"""
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url = "https://www.swsresearch.com/swindex/pdf/SwClass2021/StockClassifyUse_stock.xls" # 此处为 https
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r = requests.get(url, headers=headers)
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temp_df = pd.read_excel(
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io.BytesIO(r.content), dtype={"股票代码": "str", "行业代码": "str"}
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)
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temp_df.rename(
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columns={
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"股票代码": "symbol",
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"计入日期": "start_date",
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"行业代码": "industry_code",
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"更新日期": "update_time",
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},
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inplace=True,
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)
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temp_df["start_date"] = pd.to_datetime(
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temp_df["start_date"], errors="coerce"
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).dt.date
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temp_df["update_time"] = pd.to_datetime(
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temp_df["update_time"], errors="coerce"
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).dt.date
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return temp_df
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if __name__ == "__main__":
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stock_industry_clf_hist_sw_df = stock_industry_clf_hist_sw()
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print(stock_industry_clf_hist_sw_df)
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