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
59 lines
1.8 KiB
Python
59 lines
1.8 KiB
Python
# -*- coding:utf-8 -*-
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# !/usr/bin/env python
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"""
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Date: 2023/9/12 16:50
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Desc: 新浪财经-债券-可转债
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https://money.finance.sina.com.cn/bond/info/sz128039.html
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"""
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from io import StringIO
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import pandas as pd
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import requests
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def bond_cb_profile_sina(symbol: str = "sz128039") -> pd.DataFrame:
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"""
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新浪财经-债券-可转债-详情资料
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https://money.finance.sina.com.cn/bond/info/sz128039.html
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:param symbol: 带市场标识的转债代码
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:type symbol: str
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:return: 可转债-详情资料
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:rtype: pandas.DataFrame
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"""
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url = f"https://money.finance.sina.com.cn/bond/info/{symbol}.html"
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r = requests.get(url)
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temp_df = pd.read_html(StringIO(r.text))[0]
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temp_df.columns = ["item", "value"]
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return temp_df
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def bond_cb_summary_sina(symbol: str = "sh155255") -> pd.DataFrame:
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"""
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新浪财经-债券-可转债-债券概况
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https://money.finance.sina.com.cn/bond/quotes/sh155255.html
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:param symbol: 带市场标识的转债代码
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:type symbol: str
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:return: 可转债-债券概况
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:rtype: pandas.DataFrame
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"""
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url = f"https://money.finance.sina.com.cn/bond/quotes/{symbol}.html"
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r = requests.get(url)
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temp_df = pd.read_html(StringIO(r.text))[10]
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part1 = temp_df.iloc[:, 0:2].copy()
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part1.columns = ["item", "value"]
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part2 = temp_df.iloc[:, 2:4].copy()
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part2.columns = ["item", "value"]
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part3 = temp_df.iloc[:, 4:6].copy()
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part3.columns = ["item", "value"]
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big_df = pd.concat(objs=[part1, part2, part3], ignore_index=True)
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return big_df
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if __name__ == "__main__":
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bond_cb_profile_sina_df = bond_cb_profile_sina(symbol="sz128039")
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print(bond_cb_profile_sina_df)
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bond_cb_summary_sina_df = bond_cb_summary_sina(symbol="sh155255")
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print(bond_cb_summary_sina_df)
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