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
48 lines
1.7 KiB
Python
48 lines
1.7 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2024/12/26 18:30
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Desc: 商品现货价格指数
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https://finance.sina.com.cn/futuremarket/spotprice.shtml#titlePos_0
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"""
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import pandas as pd
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import requests
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def spot_goods(symbol: str = "波罗的海干散货指数") -> pd.DataFrame:
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"""
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新浪财经-商品现货价格指数
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https://finance.sina.com.cn/futuremarket/spotprice.shtml#titlePos_0
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:param symbol: choice of {"波罗的海干散货指数", "钢坯价格指数", "澳大利亚粉矿价格"}
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:type symbol: str
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:return: 商品现货价格指数
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:rtype: pandas.DataFrame
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"""
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url = "https://stock.finance.sina.com.cn/futures/api/openapi.php/GoodsIndexService.get_goods_index"
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symbol_url_dict = {
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"波罗的海干散货指数": "BDI",
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"钢坯价格指数": "GP",
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"澳大利亚粉矿价格": "PB",
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}
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params = {"symbol": symbol_url_dict[symbol], "table": "0"}
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r = requests.get(url, params=params)
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r.encoding = "gbk"
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data_json = r.json()
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temp_df = pd.DataFrame(data_json["result"]["data"]["data"])
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temp_df = temp_df[["opendate", "price", "zde", "zdf"]]
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temp_df.columns = ["日期", "指数", "涨跌额", "涨跌幅"]
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temp_df["日期"] = pd.to_datetime(
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temp_df["日期"], format="%Y-%m-%d", errors="coerce"
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).dt.date
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temp_df["指数"] = pd.to_numeric(temp_df["指数"], errors="coerce")
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temp_df["涨跌额"] = pd.to_numeric(temp_df["涨跌额"], errors="coerce")
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temp_df["涨跌幅"] = pd.to_numeric(temp_df["涨跌幅"], errors="coerce")
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temp_df.dropna(inplace=True, ignore_index=True)
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return temp_df
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if __name__ == "__main__":
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spot_goods_df = spot_goods(symbol="波罗的海干散货指数")
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print(spot_goods_df)
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