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
61 lines
1.9 KiB
Python
61 lines
1.9 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2024/1/20 22:00
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Desc: 经济政策不确定性指数
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https://www.policyuncertainty.com/index.html
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"""
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import pandas as pd
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def article_epu_index(symbol: str = "China") -> pd.DataFrame:
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"""
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经济政策不确定性指数
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https://www.policyuncertainty.com/index.html
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:param symbol: 指定的国家名称, e.g. “China”
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:type symbol: str
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:return: 经济政策不确定性指数数据
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:rtype: pandas.DataFrame
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"""
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# 切勿修改 http 否则会读取不到 csv 文件
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if symbol == "China New":
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symbol = "SCMP_China"
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if symbol == "China":
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symbol = "SCMP_China"
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if symbol == "USA":
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symbol = "US"
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if symbol == "Hong Kong":
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symbol = "HK"
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epu_df = pd.read_excel(
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io=f"http://www.policyuncertainty.com/media/{symbol}_EPU_Data_Annotated.xlsx",
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engine="openpyxl",
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)
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return epu_df
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if symbol in ["Germany", "France", "Italy"]: # 欧洲
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symbol = "Europe"
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if symbol == "South Korea":
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symbol = "Korea"
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if symbol == "Spain New":
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symbol = "Spain"
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if symbol in ["Ireland", "Chile", "Colombia", "Netherlands", "Singapore", "Sweden"]:
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epu_df = pd.read_excel(
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io=f"http://www.policyuncertainty.com/media/{symbol}_Policy_Uncertainty_Data.xlsx",
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engine="openpyxl",
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)
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return epu_df
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if symbol == "Greece":
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epu_df = pd.read_excel(
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io=f"http://www.policyuncertainty.com/media/FKT_{symbol}_Policy_Uncertainty_Data.xlsx",
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engine="openpyxl",
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)
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return epu_df
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url = f"http://www.policyuncertainty.com/media/{symbol}_Policy_Uncertainty_Data.csv"
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epu_df = pd.read_csv(url)
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return epu_df
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if __name__ == "__main__":
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article_epu_index_df = article_epu_index(symbol="China")
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print(article_epu_index_df)
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