def stock_zh_ah_spot() -> pd.DataFrame:
"""
腾讯财经-港股-AH-实时行情
https://stockapp.finance.qq.com/mstats/#mod=list&id=hk_ah&module=HK&type=AH&sort=3&page=3&max=20
:return: 腾讯财经-港股-AH-实时行情
:rtype: pandas.DataFrame
"""
big_df = pd.DataFrame()
page_count = _get_zh_stock_ah_page_count() + 1
for i in tqdm(range(1, page_count)):
hk_payload.update({"reqPage": i})
res = requests.get(hk_url, params=hk_payload, headers=hk_headers)
data_json = demjson.decode(
res.text[res.text.find("{"):res.text.rfind("}") + 1])
big_df = big_df.append(
pd.DataFrame(data_json["data"]["page_data"]).iloc[:, 0].str.split(
"~", expand=True),
ignore_index=True,
).iloc[:, :-1]
big_df.columns = [
"代码",
"名称",
"最新价",
"涨跌幅",
"涨跌额",
"买入",
"卖出",
"成交量",
"成交额",
"今开",
"昨收",
"最高",
"最低",
]
return big_df
def stock_zh_ah_name() -> dict:
"""
腾讯财经-港股-AH-股票名称
:return: 股票代码和股票名称的字典
:rtype: dict
"""
big_df = pd.DataFrame()
page_count = _get_zh_stock_ah_page_count() + 1
for i in tqdm(range(1, page_count)):
hk_payload.update({"reqPage": i})
res = requests.get(hk_url, params=hk_payload, headers=hk_headers)
data_json = demjson.decode(
res.text[res.text.find("{"):res.text.rfind("}") + 1])
big_df = big_df.append(
pd.DataFrame(data_json["data"]["page_data"]).iloc[:, 0].str.split(
"~", expand=True),
ignore_index=True,
).iloc[:, :-1]
big_df.columns = [
"代码",
"名称",
"最新价",
"涨跌幅",
"涨跌额",
"买入",
"卖出",
"成交量",
"成交额",
"今开",
"昨收",
"最高",
"最低",
]
code_name_dict = dict(zip(big_df["代码"], big_df["名称"]))
return code_name_dict
def stock_zh_ah_spot():
big_df = pd.DataFrame()
page_count = get_zh_stock_ah_page_count() + 1
for i in range(1, page_count):
hk_payload.update({"reqPage": i})
res = requests.get(hk_url, params=hk_payload, headers=hk_headers)
data_json = demjson.decode(res.text[res.text.find("{"): res.text.rfind("}") + 1])
big_df = big_df.append(pd.DataFrame(data_json["data"]["page_data"]).iloc[:, 0].str.split("~", expand=True), ignore_index=True)
big_df.columns = ["代码", "名称", "最新价", "涨跌幅", "涨跌额", "买入", "卖出", "成交量", "成交额", "今开", "昨收", "最高", "最低"]
return big_df