Hi,

I noticed there are two functions that can possibly provide real-time data.

1. stock_zh_a_spot
2. stock_zh_a_tick

I've questions/suggestions regarding both, respectively.

1. Is it possible to provide a symbol argument to stock_zh_a_spot? eg. stock_zh_a_spot(symbol = '000001').
2. Does stock_zh_a_tick provide live data during regular trade hours?
3. I'm interested in symbol = 'sh204007' (GC007, repo rate). Can stock_zh_a_spot fetch this data?

Thanks.

Python 3.9.2

Traceback (most recent call last):
  File "/Users/cuijl/PycharmProjects/rqalpha/akshare_test/test.py", line 5, in <module>
    stock_zh_a_daily_qfq_df = ak.stock_zh_a_daily(symbol="sz000002", start_date="20101103", end_date="20201116",
  File "/Users/cuijl/PycharmProjects/rqalpha/venv/lib/python3.9/site-packages/akshare/stock/zh_stock_a_sina.py", line 181, in stock_zh_a_daily
    temp_df = pd.merge(
  File "/Users/cuijl/PycharmProjects/rqalpha/venv/lib/python3.9/site-packages/pandas/core/reshape/merge.py", line 89, in merge
    return op.get_result()
  File "/Users/cuijl/PycharmProjects/rqalpha/venv/lib/python3.9/site-packages/pandas/core/reshape/merge.py", line 684, in get_result
    join_index, left_indexer, right_indexer = self._get_join_info()
  File "/Users/cuijl/PycharmProjects/rqalpha/venv/lib/python3.9/site-packages/pandas/core/reshape/merge.py", line 896, in _get_join_info
    join_index, left_indexer, right_indexer = left_ax.join(
  File "/Users/cuijl/PycharmProjects/rqalpha/venv/lib/python3.9/site-packages/pandas/core/indexes/datetimelike.py", line 893, in join
    this, other = self._maybe_utc_convert(other)
  File "/Users/cuijl/PycharmProjects/rqalpha/venv/lib/python3.9/site-packages/pandas/core/indexes/datetimes.py", line 413, in _maybe_utc_convert
    raise TypeError("Cannot join tz-naive with tz-aware DatetimeIndex")
TypeError: Cannot join tz-naive with tz-aware DatetimeIndex

比如 吉林化纤 000420 这个股票 使用stock_zh_a_hist接口，参数设置为period="daily"的时候，遇到这个停牌的股票，直接报错，无法继续执行下去，其他股票能正常拉取数据，今天更新到1.5.91版本后，出现这个问题，上周五5月20日使用1.5.82版本的时候，正常 还请开发者能帮忙看看修复下，谢谢~

遇到任何问题，请先确认您的 AKShare 版本是最新的

pip install akshare --upgrade  # Python 版本需要大于 3.7

描述遇到的问题

1. 操作系统版本 Windows 11 22H2
2. Python 版本 Python 3.11.0
3. AKShare 版本 1.7.90
4. 接口的名称和代码 fund_portfolio_hold_em ak.fund_portfolio_hold_em(symbol=code, date="2022")
5. 接口报错的截图或代码 看起来页面解析的结果key是“占净值 比例”，“持股数 （万股）”， “ 持仓市值 （万元）”，--key中包含空格。 而代码是按照“占净值比例”，“持股数（万股）”， “ 持仓市值（万元）”处理的。
6. 期望获得的正确结果

遇到任何问题，请先确认您的 AKShare 版本是最新的

pip install akshare --upgrade  # Python 版本需要大于 3.7

描述遇到的问题

1. 操作系统版本: ubuntu 20.04
2. Python 版本: 3.8.10
3. AKShare 版本: 最新版本，测试前刚刚升级过akshare
4. 接口的名称和代码: currency_hist
5. 接口报错的截图或代码

>>> import akshare as ak
>>> currency_hist_df = ak.currency_hist(symbol="usd-jpy", start_date="20050101", end_date="20200117")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/dean/work/pyenv/quantopianPython/lib/python3.8/site-packages/akshare/fx/currency_investing.py", line 57, in currency_hist
    title = soup.find("h2", attrs={"class": "float_lang_base_1"}).get_text()
AttributeError: 'NoneType' object has no attribute 'get_text'

8. 期望获得的正确结果 之前工作正常，最近两天突然报错。

遇到任何问题，请先确认您的 AKShare 版本是最新的

pip install akshare --upgrade  # Python 版本需要大于 3.7

描述遇到的问题

1. 操作系统版本：windows
2. Python 版本：3.9.12
3. AKShare 版本：最新
4. 接口的名称和代码：获取展期收益率的接口get_roll_yield_bar
5. 接口报错的截图或代码：KeyError: 'variety'。
6. 期望获得的正确结果

描述遇到的问题

1. 操作系统版本
2. Python 版本
3. AKShare 版本 8-18 最新版
4. 接口的名称和代码 currency_hist
5. 接口报错的截图或代码

这是 文档里面的示例，跑不通：T.T

ak.currency_hist(symbol="usd-jpy", period="每日", start_date="20050101", end_date="20220808")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python3.9/site-packages/akshare/fx/currency_investing.py", line 85, in currency_hist
    code = currency_hist_area_index_name_code(symbol)
  File "/usr/local/lib/python3.9/site-packages/akshare/fx/currency_investing.py", line 56, in currency_hist_area_index_name_code
    data_text = soup.find("script", attrs={"id": "__NEXT_DATA__"}).text
AttributeError: 'NoneType' object has no attribute 'text'

8. 期望获得的正确结果

遇到任何问题，请先确认您的 AKShare 版本是最新的

pip install akshare --upgrade  # Python 版本需要大于 3.7

描述遇到的问题

1. 操作系统版本：MAC OS 11.6

2. Python 版本：3.8

3. AKShare 版本：1.1.17

4. 接口的名称和代码：stock_fund_flow_industry & stock_fund_flow_concept

5. 接口报错的截图或代码：即时返回行业涨跌幅度和领涨股返回空值

6. 期望获得的正确结果

遇到任何问题，请先确认您的 AKShare 版本是最新的

pip install akshare --upgrade  # Python 版本需要大于 3.7

描述遇到的问题

1. 操作系统版本 Mac OS 10.13
2. Python 版本 3.8.5
3. AKShare 版本
4. 接口的名称和代码 stock_wc_hot_rank(date="20210908")
5. 接口报错的截图或代码

Error in py_call_impl(callable, dots$args, dots$keywords) : IndexError: list index out of range

Detailed traceback: File "/opt/anaconda3/envs/queen/lib/python3.8/site-packages/akshare/stock_feature/stock_wencai.py", line 87, in stock_wc_hot_rank rank_date_str = temp_df.columns[2].split("[")[1].strip("]")

6. 期望获得的正确结果 从2021年9月8日开始无法下载当日数据，但是历史数据可以正常下载。

epidemic_baidu_df = ak.epidemic_baidu(indicator="历史") print(epidemic_baidu_df)

Fetching historic data from epidemic[email protected]... Traceback (most recent call last): File "", line 8, in File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/akshare/event/sos.py", line 278, in epidemic_baidu json_data = json.loads(r.text[r.text.find("V.conf = ") + 9: r.text.find("V.bsData") - 1]) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/json/init.py", line 357, in loads return _default_decoder.decode(s) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/json/decoder.py", line 337, in decode obj, end = self.raw_decode(s, idx=_w(s, 0).end()) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/json/decoder.py", line 355, in raw_decode raise JSONDecodeError("Expecting value", s, err.value) from None json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

Successfully installed akshare-0.4.1

According to the documentation, calling history indicator on epidemic_163 should return data grouped by area. But in fact it is not.

Query import akshare as ak epidemic_163_df = ak.epidemic_163(indicator="实时") print(epidemic_163_df)

Expected Result day time country area dead confirm suspect heal city district 0 1.12 中国 湖北武汉 1 41 0 NaN None None 1 1.13 中国 湖北武汉 1 41 0 NaN None None 2 1.14 中国 湖北武汉 1 41 0 NaN None None 3 1.15 中国 湖北武汉 2 41 0 NaN None None 4 1.16 中国 湖北武汉 2 45 0 NaN None None .. ... ... ... ... ... ... ... ... ... ... 220 1.26 09:00 中国 台湾 0 3 0 0.0
221 1.26 09:00 中国 新疆 0 4 0 0.0
222 1.26 09:00 中国 澳门 0 5 0 0.0
223 1.26 09:00 中国 内蒙古 0 7 0 0.0
224 1.26 09:00 中国 青海 0 4 0 0.0

Actual Result date confirm suspect dead heal 0 01.21 440 37 9 25 1 01.13 41 0 1 0 2 01.14 41 0 1 0 3 01.15 41 0 2 5 4 01.16 45 0 2 8 .. ... ... ... ... ... 11 01.20 291 54 6 25 12 01.25 1429 1965 42 38 13 01.26 2081 2684 56 49 14 01.27 2858 5794 82 58 15 01.28 4599 6973 106 68