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
102 lines
3.3 KiB
Python
102 lines
3.3 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2023/5/18 17:10
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Desc: 中国柯桥纺织指数
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http://www.kqindex.cn/flzs/jiage
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"""
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import pandas as pd
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import requests
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from tqdm import tqdm
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def index_kq_fz(symbol: str = "价格指数") -> pd.DataFrame:
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"""
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中国柯桥纺织指数
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http://www.kqindex.cn/flzs/jiage
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:param symbol: choice of {'价格指数', '景气指数', '外贸指数'}
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:type symbol: str
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:return: 中国柯桥纺织指数
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:rtype: pandas.DataFrame
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"""
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symbol_map = {
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"价格指数": "1_1",
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"景气指数": "1_2",
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"外贸指数": "2",
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}
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url = "http://www.kqindex.cn/flzs/table_data"
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params = {
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"category": "0",
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"start": "",
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"end": "",
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"indexType": f"{symbol_map[symbol]}",
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"pageindex": "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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page_num = data_json["page"]
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big_df = pd.DataFrame()
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for page in tqdm(range(1, page_num + 1), leave=False):
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params = {
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"category": "0",
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"start": "",
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"end": "",
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"indexType": f"{symbol_map[symbol]}",
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"pageindex": 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["result"])
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big_df = pd.concat([big_df, temp_df], ignore_index=True)
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if symbol == "价格指数":
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big_df.columns = [
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"期次",
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"指数",
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"涨跌幅",
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]
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big_df["期次"] = pd.to_datetime(big_df["期次"])
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big_df["指数"] = pd.to_numeric(big_df["指数"], 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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elif symbol == "景气指数":
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big_df.columns = [
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"期次",
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"总景气指数",
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"涨跌幅",
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"流通景气指数",
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"生产景气指数",
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]
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big_df["总景气指数"] = pd.to_numeric(big_df["总景气指数"], 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["流通景气指数"] = pd.to_numeric(big_df["流通景气指数"], errors="coerce")
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big_df["生产景气指数"] = pd.to_numeric(big_df["生产景气指数"], errors="coerce")
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elif symbol == "外贸指数":
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big_df.columns = [
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"期次",
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"价格指数",
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"价格指数-涨跌幅",
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"景气指数",
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"景气指数-涨跌幅",
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]
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big_df["价格指数"] = pd.to_numeric(big_df["价格指数"], errors="coerce")
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big_df["价格指数-涨跌幅"] = pd.to_numeric(
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big_df["价格指数-涨跌幅"], errors="coerce"
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)
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big_df["景气指数"] = pd.to_numeric(big_df["景气指数"], errors="coerce")
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big_df["景气指数-涨跌幅"] = pd.to_numeric(
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big_df["景气指数-涨跌幅"], errors="coerce"
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)
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big_df.sort_values(["期次"], inplace=True, ignore_index=True)
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return big_df
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if __name__ == "__main__":
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index_kq_fz_df = index_kq_fz(symbol="价格指数")
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print(index_kq_fz_df)
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index_kq_fz_df = index_kq_fz(symbol="景气指数")
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print(index_kq_fz_df)
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index_kq_fz_df = index_kq_fz(symbol="外贸指数")
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print(index_kq_fz_df)
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