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
94 lines
3.0 KiB
Python
94 lines
3.0 KiB
Python
# -*- coding:utf-8 -*-
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# !/usr/bin/env python
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"""
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Date: 2024/8/14 11:30
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Desc: 同花顺-数据中心-可转债
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https://data.10jqka.com.cn/ipo/bond/
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"""
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import pandas as pd
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import requests
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def bond_zh_cov_info_ths() -> pd.DataFrame:
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"""
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同花顺-数据中心-可转债
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https://data.10jqka.com.cn/ipo/bond/
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:return: 可转债行情
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:rtype: pandas.DataFrame
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"""
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url = "https://data.10jqka.com.cn/ipo/kzz/"
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
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"Chrome/89.0.4389.90 Safari/537.36",
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}
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r = requests.get(url, headers=headers)
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data_json = r.json()
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temp_df = pd.DataFrame(data_json["list"])
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temp_df.rename(
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columns={
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"sub_date": "申购日期",
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"bond_code": "债券代码",
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"bond_name": "债券简称",
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"code": "正股代码",
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"name": "正股简称",
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"sub_code": "申购代码",
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"share_code": "原股东配售码",
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"sign_date": "中签公布日",
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"plan_total": "计划发行量",
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"issue_total": "实际发行量",
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"issue_price": "-",
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"success_rate": "中签率",
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"listing_date": "上市日期",
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"expire_date": "到期时间",
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"price": "转股价格",
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"quota": "每股获配额",
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"number": "中签号",
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"market_id": "-",
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"stock_market_id": "-",
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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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"债券代码",
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"债券简称",
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"申购日期",
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"申购代码",
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"原股东配售码",
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"每股获配额",
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"计划发行量",
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"实际发行量",
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"中签公布日",
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"中签号",
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"上市日期",
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"正股代码",
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"正股简称",
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"转股价格",
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"到期时间",
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"中签率",
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]
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]
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temp_df["申购日期"] = pd.to_datetime(
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temp_df["申购日期"], format="%Y-%m-%d", errors="coerce"
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).dt.date
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temp_df["中签公布日"] = pd.to_datetime(
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temp_df["中签公布日"], format="%Y-%m-%d", errors="coerce"
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).dt.date
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temp_df["上市日期"] = pd.to_datetime(
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temp_df["上市日期"], format="%Y-%m-%d", errors="coerce"
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).dt.date
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temp_df["到期时间"] = pd.to_datetime(
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temp_df["到期时间"], format="%Y-%m-%d", errors="coerce"
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).dt.date
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temp_df["每股获配额"] = pd.to_numeric(temp_df["每股获配额"], errors="coerce")
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temp_df["计划发行量"] = pd.to_numeric(temp_df["计划发行量"], errors="coerce")
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temp_df["实际发行量"] = pd.to_numeric(temp_df["实际发行量"], errors="coerce")
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temp_df["转股价格"] = pd.to_numeric(temp_df["转股价格"], errors="coerce")
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return temp_df
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if __name__ == "__main__":
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bond_zh_cov_info_ths_df = bond_zh_cov_info_ths()
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print(bond_zh_cov_info_ths_df)
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