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
51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2024/3/21 11:16
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Desc: 行情宝
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https://hqb.nxin.com/pigindex/index.shtml
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"""
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import pandas as pd
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import requests
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def index_hog_spot_price() -> pd.DataFrame:
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"""
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行情宝-生猪市场价格指数
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https://hqb.nxin.com/pigindex/index.shtml
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:return: 生猪市场价格指数
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:rtype: pandas.DataFrame
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"""
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url = "https://hqb.nxin.com/pigindex/getPigIndexChart.shtml"
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params = {"regionId": "0"}
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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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temp_df.columns = [
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"日期",
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"指数",
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"4个月均线",
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"6个月均线",
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"12个月均线",
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"预售均价",
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"成交均价",
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"成交均重",
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]
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temp_df["日期"] = (
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pd.to_datetime(temp_df["日期"], unit="ms") + pd.Timedelta(hours=8)
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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["4个月均线"] = pd.to_numeric(temp_df["4个月均线"], errors="coerce")
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temp_df["6个月均线"] = pd.to_numeric(temp_df["6个月均线"], errors="coerce")
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temp_df["12个月均线"] = pd.to_numeric(temp_df["12个月均线"], errors="coerce")
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temp_df["预售均价"] = pd.to_numeric(temp_df["预售均价"], errors="coerce")
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temp_df["成交均价"] = pd.to_numeric(temp_df["成交均价"], errors="coerce")
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temp_df["成交均重"] = pd.to_numeric(temp_df["成交均重"], errors="coerce")
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return temp_df
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if __name__ == "__main__":
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index_hog_spot_price_df = index_hog_spot_price()
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print(index_hog_spot_price_df)
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