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
216 lines
5.9 KiB
Python
216 lines
5.9 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2021/12/19 13:09
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Desc: 东方财富网-数据中心-主力数据-基金持仓
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http://data.eastmoney.com/zlsj/2020-06-30-1-2.html
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"""
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import pandas as pd
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import requests
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def stock_report_fund_hold(
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symbol: str = "基金持仓", date: str = "20210331"
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) -> pd.DataFrame:
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"""
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东方财富网-数据中心-主力数据-基金持仓
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http://data.eastmoney.com/zlsj/2020-12-31-1-2.html
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:param symbol: choice of {"基金持仓", "QFII持仓", "社保持仓", "券商持仓", "保险持仓", "信托持仓"}
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:type symbol: str
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:param date: 财报发布日期, xxxx-03-31, xxxx-06-30, xxxx-09-30, xxxx-12-31
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:type date: str
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:return: 基金持仓数据
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:rtype: pandas.DataFrame
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"""
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symbol_map = {
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"基金持仓": "1",
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"QFII持仓": "2",
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"社保持仓": "3",
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"券商持仓": "4",
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"保险持仓": "5",
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"信托持仓": "6",
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}
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date = "-".join([date[:4], date[4:6], date[6:]])
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url = "http://data.eastmoney.com/dataapi/zlsj/list"
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params = {
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"date": date,
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"type": symbol_map[symbol],
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"zjc": "0",
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"sortField": "HOULD_NUM",
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"sortDirec": "1",
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"pageNum": "1",
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"pageSize": "500",
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"p": "1",
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"pageNo": "1",
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}
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r = requests.get(url, params=params)
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data_json = r.json()
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total_page = data_json["pages"]
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big_df = pd.DataFrame()
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for page in range(1, total_page + 1):
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params = {
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"date": date,
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"type": symbol_map[symbol],
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"zjc": "0",
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"sortField": "HOULD_NUM",
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"sortDirec": "1",
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"pageNum": page,
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"pageSize": "500",
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"p": page,
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"pageNo": page,
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}
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r = requests.get(url, params=params)
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data_json = r.json()
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temp_df = pd.DataFrame(data_json["data"])
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big_df = pd.concat([big_df, temp_df], ignore_index=True)
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big_df.reset_index(inplace=True)
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big_df["index"] = list(range(1, len(big_df) + 1))
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big_df.columns = [
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"序号",
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"_",
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"股票简称",
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"_",
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"_",
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"持有基金家数",
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"持股总数",
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"持股市值",
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"_",
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"持股变化",
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"持股变动数值",
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"持股变动比例",
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"_",
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"_",
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"_",
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"_",
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"_",
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"_",
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"_",
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"_",
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"股票代码",
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"_",
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"_",
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]
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big_df = big_df[
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[
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"序号",
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"股票代码",
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"股票简称",
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"持有基金家数",
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"持股总数",
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"持股市值",
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"持股变化",
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"持股变动数值",
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"持股变动比例",
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]
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]
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return big_df
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def stock_report_fund_hold_detail(
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symbol: str = "008286", date: str = "20220331"
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) -> pd.DataFrame:
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"""
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东方财富网-数据中心-主力数据-基金持仓-明细
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http://data.eastmoney.com/zlsj/ccjj/2020-12-31-008286.html
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:param symbol: 基金代码
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:type symbol: str
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:param date: 财报发布日期, xxxx-03-31, xxxx-06-30, xxxx-09-30, xxxx-12-31
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:type date: str
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:return: 基金持仓-明细数据
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:rtype: pandas.DataFrame
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"""
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date = "-".join([date[:4], date[4:6], date[6:]])
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url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
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params = {
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"sortColumns": "SECURITY_CODE",
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"sortTypes": "-1",
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"pageSize": "500",
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"pageNumber": "1",
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"reportName": "RPT_MAINDATA_MAIN_POSITIONDETAILS",
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"columns": "ALL",
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"quoteColumns": "",
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"filter": f"""(HOLDER_CODE="{symbol}")(REPORT_DATE='{date}')""",
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"source": "WEB",
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"client": "WEB",
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}
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r = requests.get(url, params=params)
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data_json = r.json()
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temp_df = pd.DataFrame(data_json["result"]["data"])
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temp_df.reset_index(inplace=True)
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temp_df["index"] = temp_df.index + 1
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temp_df.columns = [
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"序号",
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"-",
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"股票代码",
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"-",
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"股票简称",
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"_",
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"_",
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"_",
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"_",
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"_",
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"_",
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"_",
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"_",
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"持股数",
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"持股市值",
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"占总股本比例",
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"占流通股本比例",
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"_",
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"_",
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]
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temp_df = temp_df[
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[
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"序号",
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"股票代码",
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"股票简称",
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"持股数",
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"持股市值",
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"占总股本比例",
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"占流通股本比例",
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]
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]
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temp_df["持股数"] = pd.to_numeric(temp_df["持股数"])
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temp_df["持股市值"] = pd.to_numeric(temp_df["持股市值"])
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temp_df["占总股本比例"] = pd.to_numeric(temp_df["占总股本比例"])
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temp_df["占流通股本比例"] = pd.to_numeric(temp_df["占流通股本比例"])
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return temp_df
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if __name__ == "__main__":
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stock_report_fund_hold_df = stock_report_fund_hold(
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symbol="基金持仓", date="20200630"
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)
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print(stock_report_fund_hold_df)
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stock_report_fund_hold_df = stock_report_fund_hold(
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symbol="QFII持仓", date="20210331"
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)
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print(stock_report_fund_hold_df)
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stock_report_fund_hold_df = stock_report_fund_hold(
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symbol="社保持仓", date="20210331"
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)
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print(stock_report_fund_hold_df)
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stock_report_fund_hold_df = stock_report_fund_hold(
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symbol="券商持仓", date="20210331"
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)
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print(stock_report_fund_hold_df)
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stock_report_fund_hold_df = stock_report_fund_hold(
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symbol="保险持仓", date="20210331"
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)
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print(stock_report_fund_hold_df)
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stock_report_fund_hold_df = stock_report_fund_hold(
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symbol="信托持仓", date="20210331"
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)
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print(stock_report_fund_hold_df)
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stock_report_fund_hold_detail_df = stock_report_fund_hold_detail(
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symbol="005827", date="20210331"
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)
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print(stock_report_fund_hold_detail_df)
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