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
236 lines
8.9 KiB
Python
236 lines
8.9 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2024/10/1 22:00
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Desc: 东方财富网-数据中心-特色数据-股东户数
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https://data.eastmoney.com/gdhs/
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"""
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import pandas as pd
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import requests
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from akshare.utils.tqdm import get_tqdm
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def stock_zh_a_gdhs(symbol: str = "20230930") -> pd.DataFrame:
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"""
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东方财富网-数据中心-特色数据-股东户数
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https://data.eastmoney.com/gdhs/
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:param symbol: choice of {"最新", "每个季度末"}, 其中 每个季度末需要写成 `20230930` 格式
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:type symbol: str
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:return: 股东户数
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:rtype: pandas.DataFrame
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"""
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url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
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if symbol == "最新":
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params = {
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"sortColumns": "HOLD_NOTICE_DATE,SECURITY_CODE",
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"sortTypes": "-1,-1",
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"pageSize": "500",
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"pageNumber": "1",
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"reportName": "RPT_HOLDERNUMLATEST",
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"columns": "SECURITY_CODE,SECURITY_NAME_ABBR,END_DATE,INTERVAL_CHRATE,AVG_MARKET_CAP,AVG_HOLD_NUM,"
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"TOTAL_MARKET_CAP,TOTAL_A_SHARES,HOLD_NOTICE_DATE,HOLDER_NUM,PRE_HOLDER_NUM,"
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"HOLDER_NUM_CHANGE,HOLDER_NUM_RATIO,END_DATE,PRE_END_DATE",
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"quoteColumns": "f2,f3",
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"source": "WEB",
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"client": "WEB",
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}
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else:
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params = {
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"sortColumns": "HOLD_NOTICE_DATE,SECURITY_CODE",
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"sortTypes": "-1,-1",
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"pageSize": "500",
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"pageNumber": "1",
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"reportName": "RPT_HOLDERNUM_DET",
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"columns": "SECURITY_CODE,SECURITY_NAME_ABBR,END_DATE,INTERVAL_CHRATE,AVG_MARKET_CAP,"
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"AVG_HOLD_NUM,TOTAL_MARKET_CAP,TOTAL_A_SHARES,HOLD_NOTICE_DATE,HOLDER_NUM,"
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"PRE_HOLDER_NUM,HOLDER_NUM_CHANGE,HOLDER_NUM_RATIO,END_DATE,PRE_END_DATE",
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"quoteColumns": "f2,f3",
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"source": "WEB",
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"client": "WEB",
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"filter": f"(END_DATE='{symbol[:4] + '-' + symbol[4:6] + '-' + symbol[6:]}')",
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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_num = data_json["result"]["pages"]
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big_df = pd.DataFrame()
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tqdm = get_tqdm()
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for page_num in tqdm(range(1, total_page_num + 1), leave=False):
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params.update(
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{
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"pageNumber": page_num,
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}
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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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big_df = pd.concat(objs=[big_df, temp_df], ignore_index=True)
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big_df.columns = [
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"代码",
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"名称",
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"股东户数统计截止日-本次",
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"区间涨跌幅",
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"户均持股市值",
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"户均持股数量",
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"总市值",
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"总股本",
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"公告日期",
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"股东户数-本次",
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"股东户数-上次",
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"股东户数-增减",
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"股东户数-增减比例",
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"股东户数统计截止日-上次",
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"最新价",
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"涨跌幅",
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]
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big_df = big_df[
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[
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"代码",
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"名称",
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"最新价",
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"涨跌幅",
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"股东户数-本次",
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"股东户数-上次",
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"股东户数-增减",
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"股东户数-增减比例",
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"区间涨跌幅",
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"股东户数统计截止日-本次",
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"股东户数统计截止日-上次",
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"户均持股市值",
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"户均持股数量",
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"总市值",
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"总股本",
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"公告日期",
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]
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]
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big_df["最新价"] = pd.to_numeric(big_df["最新价"], errors="coerce")
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big_df["涨跌幅"] = pd.to_numeric(big_df["涨跌幅"], errors="coerce")
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big_df["股东户数-本次"] = pd.to_numeric(big_df["股东户数-本次"], errors="coerce")
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big_df["股东户数-上次"] = pd.to_numeric(big_df["股东户数-上次"], errors="coerce")
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big_df["股东户数-增减"] = pd.to_numeric(big_df["股东户数-增减"], errors="coerce")
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big_df["股东户数-增减比例"] = pd.to_numeric(
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big_df["股东户数-增减比例"], errors="coerce"
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)
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big_df["区间涨跌幅"] = pd.to_numeric(big_df["区间涨跌幅"], errors="coerce")
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big_df["股东户数统计截止日-本次"] = pd.to_datetime(
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big_df["股东户数统计截止日-本次"], errors="coerce"
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).dt.date
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big_df["股东户数统计截止日-上次"] = pd.to_datetime(
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big_df["股东户数统计截止日-上次"], errors="coerce"
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).dt.date
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big_df["户均持股市值"] = pd.to_numeric(big_df["户均持股市值"], errors="coerce")
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big_df["户均持股数量"] = pd.to_numeric(big_df["户均持股数量"], errors="coerce")
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big_df["总市值"] = pd.to_numeric(big_df["总市值"], errors="coerce")
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big_df["总股本"] = pd.to_numeric(big_df["总股本"], errors="coerce")
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big_df["公告日期"] = pd.to_datetime(big_df["公告日期"], errors="coerce").dt.date
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return big_df
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def stock_zh_a_gdhs_detail_em(symbol: str = "000001") -> pd.DataFrame:
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"""
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东方财富网-数据中心-特色数据-股东户数详情
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https://data.eastmoney.com/gdhs/detail/000002.html
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:param symbol: 股票代码
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:type symbol: str
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:return: 股东户数
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:rtype: pandas.DataFrame
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"""
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url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
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params = {
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"sortColumns": "END_DATE",
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"sortTypes": "-1",
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"pageSize": "500",
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"pageNumber": "1",
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"reportName": "RPT_HOLDERNUM_DET",
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"columns": "SECURITY_CODE,SECURITY_NAME_ABBR,CHANGE_SHARES,CHANGE_REASON,END_DATE,INTERVAL_CHRATE,"
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"AVG_MARKET_CAP,AVG_HOLD_NUM,TOTAL_MARKET_CAP,TOTAL_A_SHARES,HOLD_NOTICE_DATE,HOLDER_NUM,"
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"PRE_HOLDER_NUM,HOLDER_NUM_CHANGE,HOLDER_NUM_RATIO,END_DATE,PRE_END_DATE",
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"quoteColumns": "f2,f3",
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"filter": f'(SECURITY_CODE="{symbol}")',
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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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total_page_num = data_json["result"]["pages"]
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big_df = pd.DataFrame()
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tqdm = get_tqdm()
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for page_num in tqdm(range(1, total_page_num + 1), leave=False):
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params.update(
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{
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"pageNumber": page_num,
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}
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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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big_df = pd.concat(objs=[big_df, temp_df], ignore_index=True)
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big_df.columns = [
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"代码",
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"名称",
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"股本变动",
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"股本变动原因",
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"股东户数统计截止日",
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"区间涨跌幅",
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"户均持股市值",
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"户均持股数量",
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"总市值",
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"总股本",
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"股东户数公告日期",
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"股东户数-本次",
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"股东户数-上次",
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"股东户数-增减",
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"股东户数-增减比例",
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"-",
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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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"股东户数统计截止日",
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"区间涨跌幅",
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"股东户数-本次",
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"股东户数-上次",
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"股东户数-增减",
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"股东户数-增减比例",
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"户均持股市值",
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"户均持股数量",
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"总市值",
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"总股本",
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"股本变动",
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"股本变动原因",
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"股东户数公告日期",
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"代码",
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"名称",
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]
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]
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big_df["区间涨跌幅"] = pd.to_numeric(big_df["区间涨跌幅"], errors="coerce")
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big_df["股东户数-本次"] = pd.to_numeric(big_df["股东户数-本次"], errors="coerce")
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big_df["股东户数-上次"] = pd.to_numeric(big_df["股东户数-上次"], errors="coerce")
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big_df["股东户数-增减"] = pd.to_numeric(big_df["股东户数-增减"], errors="coerce")
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big_df["股东户数-增减比例"] = pd.to_numeric(
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big_df["股东户数-增减比例"], errors="coerce"
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)
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big_df["户均持股市值"] = pd.to_numeric(big_df["户均持股市值"], errors="coerce")
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big_df["户均持股数量"] = pd.to_numeric(big_df["户均持股数量"], errors="coerce")
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big_df["总市值"] = pd.to_numeric(big_df["总市值"], errors="coerce")
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big_df["总股本"] = pd.to_numeric(big_df["总股本"], errors="coerce")
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big_df["股本变动"] = pd.to_numeric(big_df["股本变动"], errors="coerce")
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big_df["股东户数统计截止日"] = pd.to_datetime(
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big_df["股东户数统计截止日"], errors="coerce"
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).dt.date
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big_df["股东户数公告日期"] = pd.to_datetime(
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big_df["股东户数公告日期"], errors="coerce"
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).dt.date
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big_df.sort_values(by=["股东户数统计截止日"], ignore_index=True, inplace=True)
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return big_df
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if __name__ == "__main__":
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stock_zh_a_gdhs_df = stock_zh_a_gdhs(symbol="20230930")
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print(stock_zh_a_gdhs_df)
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stock_zh_a_gdhs_detail_em_df = stock_zh_a_gdhs_detail_em(symbol="002631")
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print(stock_zh_a_gdhs_detail_em_df)
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