requirements.txt 中限制的版本全部为限制小版本的形式，实际上该项目应该没有依赖特定版本的基础库，所以这些限制可以更宽松一些，或是使用更新的版本，避免和工作流中的其他版本产生冲突。例如 requests 已经更新至 2.31.0，则 requests~=2.26.0 可以更改为 requests>=2.26.0。

tqdm~=4.65.0
requests~=2.26.0
pandas~=1.5.3
beautifulsoup4~=4.11.2
py_mini_racer>=0.6.0

stock.info.get_concept_ths() 会触发反爬机制，定期有一个滑动弹窗导致一直失败。

对002824、002838-002860等股票调日线数据时出现ValueError

报错代码：
import adata s_rixian = adata.stock.market.get_market(stock_code='002860', k_type=1, start_date='2017-01-01') s_rixian

报错详情如下：

疑似是在计算change_pct时的数据格式问题

如题。根据目前提供的API：可以获取到概念板块下的股票，不能反向获取。但是一般的场景是，筛选后的股票去获取其对应概念板块

Describe the bug
1、股票指数info接口，目前只能取前250个指数，数量不齐全（默认只能取前五页，第六页开始跳转页面了，图1）
2、指数的分时、K线数据存在Nan问题（主要是第一天的涨跌幅可能存在Nan值未处理，图2）

Expected behavior
如图3所示，进行数值相关的列进行格式化。

Screenshots

你好，我取概念股的成分股怎么都是空的，应该怎么取呢？

雪球之类的平台，有接口可以获取相关数据。

Describe the bug
调用如下接口，参数“515670”，报异常
adata.fund.market.get_market_etf("515670")

To Reproduce
Steps to reproduce the behavior:

1. pip install adata
2. open a new .py file and paste following
   import adata
   adata.fund.market.get_market_etf("515670")

Run

Expected behavior
Function crash

Screenshots
Crash Log:
Traceback (most recent call last):
File "d:\projects\outsource_data\main.py", line 37, in
adata.fund.market.get_market_etf("515670")
File "d:\InstalledApp\conda\envs\outsource_data\lib\site-packages\adata\fund\market\etf_market.py", line 30, in get_market_etf
return self.ths.get_market_etf_ths(fund_code, k_type, start_date, end_date)
File "d:\InstalledApp\conda\envs\outsource_data\lib\site-packages\adata\fund\market\etf_market_ths.py", line 50, in get_market_etf_ths
result_df = pd.DataFrame(data=data, columns=['trade_date', 'open', 'high', 'low', 'close', 'volume', 'amount'])
File "d:\InstalledApp\conda\envs\outsource_data\lib\site-packages\pandas\core\frame.py", line 851, in init
arrays, columns, index = nested_data_to_arrays(
File "d:\InstalledApp\conda\envs\outsource_data\lib\site-packages\pandas\core\internals\construction.py", line 520, in nested_data_to_arrays arrays, columns, index = nested_data_to_arrays(
File "d:\InstalledApp\conda\envs\outsource_data\lib\site-packages\pandas\core\internals\construction.py", line 845, in to_arraysuction.py", line 520, in nested_data_to_arrays
arrays, columns = to_arrays(data, columns, dtype=dtype) uction.py", line 942, in _finalize_columns_and_data
File "d:\InstalledApp\conda\envs\outsource_data\lib\site-packages\pandas\core\internals\construction.py", line 845, in to_arrays
content, columns = _finalize_columns_and_data(arr, columns, dtype)
File "d:\InstalledApp\conda\envs\outsource_data\lib\site-packages\pandas\core\internals\construction.py", line 942, in _finalize_columns_and_data
raise ValueError(err) from err
ValueError: 7 columns passed, passed data had 1 columns

Desktop (please complete the following information):

• OS: windows 10
• Browser Chrome
• Python 3.10

Additional context
看上去是没有处理数据源返回的“空数据”。

是否会提供有关券商的下单接口? 支持自动下单; 类似 trade bot

以**石化 600028 为例，前面部分的价格为负数，是数据源的问题吗
trade_time open close ... pre_close stock_code trade_date
0 2001-08-08 00:00:00 -1.86 -2.01 ... 0.00 600028 2001-08-08
1 2001-08-09 00:00:00 -2.02 -2.06 ... -2.01 600028 2001-08-09
2 2001-08-10 00:00:00 -2.06 -2.02 ... -2.06 600028 2001-08-10
3 2001-08-13 00:00:00 -2.03 -2.04 ... -2.02 600028 2001-08-13
4 2001-08-14 00:00:00 -2.04 -2.06 ... -2.04 600028 2001-08-14
... ... ... ... ... ... ... ...
5450 2024-04-15 00:00:00 6.39 6.65 ... 6.38 600028 2024-04-15
5451 2024-04-16 00:00:00 6.61 6.68 ... 6.65 600028 2024-04-16
5452 2024-04-17 00:00:00 6.64 6.64 ... 6.68 600028 2024-04-17
5453 2024-04-18 00:00:00 6.56 6.54 ... 6.64 600028 2024-04-18
5454 2024-04-19 00:00:00 6.53 6.67 ... 6.54 600028 2024-04-19

获取etf实时交易数据时，change和change_pct写死返回了None耶

我把历史数据保存在了数据库，每天获取一天新的数据，现在要调用的API数量有点多，是否能实现一个API获取多个股票的当天数据？能拿到所有的当天数据。

我使用的环境pandas==2.0.3，在默认示例代码中报错

import adata
# k_type: k线类型：1.日；2.周；3.月 默认：1 日k
res_df = adata.stock.market.get_market(stock_code='000001', k_type=1, start_date='2021-01-01')
print(res_df)

报错信息:

---------------------------------------------------------------------------
error                                     Traceback (most recent call last)
Cell In[2], line 1
----> 1 res_df = adata.stock.market.get_market(stock_code='600519', k_type=1, start_date='2022-01-01')
      2 print(res_df)

File D:\software\conda\envs\qlib\lib\site-packages\adata\stock\market\stock_market\stock_market.py:37, in StockMarket.get_market(self, stock_code, start_date, k_type, adjust_type)
     28 def get_market(self, stock_code: str = '000001', start_date='1990-01-01', k_type=1, adjust_type: int = 1):
     29     """
     30     获取单个股票的行情
     31     :param stock_code: 股票代码
   (...)
     35     :return: k线行情数据
     36     """
---> 37     return self.baidu.get_market(stock_code=stock_code, start_date=start_date, k_type=k_type)

File D:\software\conda\envs\qlib\lib\site-packages\adata\stock\market\stock_market\stock_market_baidu.py:84, in StockMarketBaiDu.get_market(self, stock_code, start_date, k_type, adjust_type)
     82 result_df.replace('--', None, inplace=True)
     83 result_df.replace('', None, inplace=True)
---> 84 result_df['change'] = result_df['change'].str.replace('+', '', regex=True)
     85 result_df['change_pct'] = result_df['change_pct'].str.replace('+', '', regex=True)
     86 # 5. 数据清洗，剔除成交量为0的异常数据

File D:\software\conda\envs\qlib\lib\site-packages\pandas\core\strings\accessor.py:129, in forbid_nonstring_types.<locals>._forbid_nonstring_types.<locals>.wrapper(self, *args, **kwargs)
    124     msg = (
    125         f"Cannot use .str.{func_name} with values of "
    126         f"inferred dtype '{self._inferred_dtype}'."
    127     )
    128     raise TypeError(msg)
--> 129 return func(self, *args, **kwargs)

File D:\software\conda\envs\qlib\lib\site-packages\pandas\core\strings\accessor.py:1505, in StringMethods.replace(self, pat, repl, n, case, flags, regex)
   1502 if case is None:
   1503     case = True
-> 1505 result = self._data.array._str_replace(
   1506     pat, repl, n=n, case=case, flags=flags, regex=regex
   1507 )
   1508 return self._wrap_result(result)

File D:\software\conda\envs\qlib\lib\site-packages\pandas\core\strings\object_array.py:170, in ObjectStringArrayMixin._str_replace(self, pat, repl, n, case, flags, regex)
    168     if regex is False:
    169         pat = re.escape(pat)
--> 170     pat = re.compile(pat, flags=flags)
    172 n = n if n >= 0 else 0
    173 f = lambda x: pat.sub(repl=repl, string=x, count=n)

File D:\software\conda\envs\qlib\lib\re.py:252, in compile(pattern, flags)
    250 def compile(pattern, flags=0):
    251     "Compile a regular expression pattern, returning a Pattern object."
--> 252     return _compile(pattern, flags)

File D:\software\conda\envs\qlib\lib\re.py:304, in _compile(pattern, flags)
    302 if not sre_compile.isstring(pattern):
    303     raise TypeError("first argument must be string or compiled pattern")
--> 304 p = sre_compile.compile(pattern, flags)
    305 if not (flags & DEBUG):
    306     if len(_cache) >= _MAXCACHE:
    307         # Drop the oldest item

File D:\software\conda\envs\qlib\lib\sre_compile.py:764, in compile(p, flags)
    762 if isstring(p):
    763     pattern = p
--> 764     p = sre_parse.parse(p, flags)
    765 else:
    766     pattern = None

File D:\software\conda\envs\qlib\lib\sre_parse.py:948, in parse(str, flags, state)
    945 state.str = str
    947 try:
--> 948     p = _parse_sub(source, state, flags & SRE_FLAG_VERBOSE, 0)
    949 except Verbose:
    950     # the VERBOSE flag was switched on inside the pattern.  to be
    951     # on the safe side, we'll parse the whole thing again...
    952     state = State()

File D:\software\conda\envs\qlib\lib\sre_parse.py:443, in _parse_sub(source, state, verbose, nested)
    441 start = source.tell()
    442 while True:
--> 443     itemsappend(_parse(source, state, verbose, nested + 1,
    444                        not nested and not items))
    445     if not sourcematch("|"):
    446         break

File D:\software\conda\envs\qlib\lib\sre_parse.py:668, in _parse(source, state, verbose, nested, first)
    666     item = None
    667 if not item or item[0][0] is AT:
--> 668     raise source.error("nothing to repeat",
    669                        source.tell() - here + len(this))
    670 if item[0][0] in _REPEATCODES:
    671     raise source.error("multiple repeat",
    672                        source.tell() - here + len(this))

error: nothing to repeat at position 0

发现错误出在adata\stock\market\stock_market\stock_market_baidu.py: 84
当我尝试去掉84以及下方几行regex=True之后, 数据可以正常展示
如果代码功能仅需要去掉数据中的加号的话应该不需要regex=True

感谢接口的提供！

我这里想要同花顺的历史某天的分时数据来回测，想请教一下有没有好的回测方式。
接口里分时数据都是实时的，好像没法获取到历史某一天的。

是否可以获取市值信息？如何获取

获取日K报错：

Traceback (most recent call last):
File "main.py", line 2, in
res_df = adata.stock.market.get_market(stock_code='000100', k_type=1, start_date='2021-01-01')
File "/home/bigfish/.local/lib/python3.8/site-packages/adata/stock/market/stock_market/stock_market.py", line 32, in get_market
return StockMarketBaiDu().get_market(stock_code=stock_code, start_date=start_date, k_type=k_type)
NameError: name 'StockMarketBaiDu' is not defined

首先感谢 @1nchaos 的开源壮举，数据源用的很顺畅，解决了我很多棘手问题。

Describe the bug
类 StockConceptThs 的 get_concept_ths(...) 函数在获取概念信息的实现只提取了页面中的第一个table，最新打开一个
https://basic.10jqka.com.cn/300033/concept.html 页面可以看到多个table，因此会缺失一些概念，不知是否故意为之？

如果目前的数据不符合预期，我会提交一个pr，修复它。

603958 哈森股份
查询此个股报错

TypeError Traceback (most recent call last)
Cell In[22], line 3
1 # for i in zt['代码']:
2 # print(a.stock.info.get_concept_east(stock_code=i))
----> 3 a.stock.info.get_concept_east(stock_code='603958')
4 # a.stock.info.trade_calendar(year=2024)

File /.local/lib/python3.11/site-packages/adata/stock/info/concept/stock_concept_east.py:88, in StockConceptEast.get_concept_east(self, stock_code)
81 url = f"https://datacenter.eastmoney.com/securities/api/data/v1/get?"
82 f"reportName=RPT_F10_CORETHEME_BOARDTYPE&"
83 f"columns=SECUCODE%2CSECURITY_CODE%2CSECURITY_NAME_ABBR%2CNEW_BOARD_CODE%2CBOARD_NAME%2CSELECTED_BOARD_REASON%2CIS_PRECISE%2CBOARD_RANK%2CBOARD_YIELD%2CDERIVE_BOARD_CODE&"
84 f"quoteColumns=f305NEW_BOARD_CODEBOARD_YIELD&"
85 f"filter=(SECUCODE%3D%22{stock_code}%22)(IS_PRECISE%3D%221%22)&pageNumber=1&pageSize=50&sortTypes=1&"
86 f"sortColumns=BOARD_RANK&source=HSF10&client=PC"
87 res_json = requests.request('get', url, headers={}, proxies={}).json()
---> 88 res_data = res_json['result']['data']
89 data = []
90 for _ in res_data:
91 # ['stock_code', 'short_name', 'concept_code', 'name', 'reason', 'source']

TypeError: 'NoneType' object is not subscriptable

新年快乐🎉！

如题：看目前提供的API中，能获取日线级别数据。但是30/60分钟级别数据无法获取，这个在一些中频策略中是个比较常见的数据源需求

运行以下代码：
import adata
df = adata.stock.info.all_code()
print(df)
报错：
Traceback (most recent call last):
File "C:\Users\Admin\PycharmProjects\pythonProject3\chap8\用AData获取所有的股票代码.py", line 3, in
df = adata.stock.info.all_code()
File "C:\Users\Admin\anaconda3\lib\site-packages\adata\stock\info\stock_code.py", line 44, in all_code
code = pd.read_csv(get_code_csv_path())[['stock_code', 'list_date2']]
File "C:\Users\Admin\anaconda3\lib\site-packages\pandas\util_decorators.py", line 311, in wrapper
return func(*args, **kwargs)
File "C:\Users\Admin\anaconda3\lib\site-packages\pandas\io\parsers\readers.py", line 678, in read_csv
return _read(filepath_or_buffer, kwds)
File "C:\Users\Admin\anaconda3\lib\site-packages\pandas\io\parsers\readers.py", line 575, in _read
parser = TextFileReader(filepath_or_buffer, **kwds)
File "C:\Users\Admin\anaconda3\lib\site-packages\pandas\io\parsers\readers.py", line 932, in init
self._engine = self._make_engine(f, self.engine)
File "C:\Users\Admin\anaconda3\lib\site-packages\pandas\io\parsers\readers.py", line 1216, in _make_engine
self.handles = get_handle( # type: ignore[call-overload]
File "C:\Users\Admin\anaconda3\lib\site-packages\pandas\io\common.py", line 786, in get_handle
handle = open(
FileNotFoundError: [Errno 2] No such file or directory: 'C:\Users\Admin\anaconda3\lib\site-packages\adata\stock\cache/code.csv'

进程已结束,退出代码1
我的运行环境 pycharm 2303.1.4 python解释器版本3.9。 pandas版本1.4.4 请问是否需要把pandas版本升级到目前最新的2.1.1

~ cat a.py
import adata

res_df = adata.stock.market.get_market(stock_code='000003', k_type=1)
print(res_df)
~ python3 a.py
Empty DataFrame
Columns: [trade_time, open, close, volume, high, low, amount, change, change_pct, turnover_ratio, pre_close]
Index: []

MacOS

获取股票的行情
获取到股票代码后，传入对应的stock_code参数，查询对应股票的行情信息。

import adata

k_type: k线类型：1.日；2.周；3.月 默认：1 日k

res_df = adata.stock.market.get_market(stock_code='000001', k_type=1, start_date='2021-01-01')
print(res_df)

以上 start_date 是 查询开始日期 。有结束的日期的键值么？谢谢！

获取300416的日交易数据发现pre_close没有考虑除权除息

大大，你好！
adata非常好用！发现一个bug。

stock.market.get_market_index_current 返回价格字段 open high low price，小数点都没加如返回的是 860658，实际正确的是8606.58

stock.market.get_market_index_current，stock.market.get_market_index_min返回000001取了平安银行的数据，不是上证指数

import adata

res_df = adata.stock.market.get_market(stock_code="QQQ", k_type=3, start_date='2012-01-01')
print(res_df)

输出的截图如下，可以看到返回的数据不是从0开始的，只返回了后面的32条，前面的都没有：

Describe the bug
我在大批量获取资金流向日度数据时候，存在某些票由于价格单位是元，导致没有转换成浮点数。

Expected behavior
adata\common\utils\unit_conver.py 修改convert_to_yuan函数，增加对元的处理转换。
Screenshots

挖掘新闻、网络文章和政策事件等
提到的这个，有啥好的数据来源什么的吗

您好，很感谢您能提供如此强大的工具库，我在处理多线程获取股票分红信息时候，出现报错：
in Response.json(self, **kwargs)
970 try:
--> 971 return complexjson.loads(self.text, **kwargs)
972 except JSONDecodeError as e:
973 # Catch JSON-related errors and raise as requests.JSONDecodeError
974 # This aliases json.JSONDecodeError and simplejson.JSONDecodeError

File c:\Users\Leslie\miniconda3\envs\pytorch2\lib\json_init_.py:346, in loads(s, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
343 if (cls is None and object_hook is None and
344 parse_int is None and parse_float is None and
345 parse_constant is None and object_pairs_hook is None and not kw):
--> 346 return _default_decoder.decode(s)
347 if cls is None:

File c:\Users\Leslie\miniconda3\envs\pytorch2\lib\json\decoder.py:337, in JSONDecoder.decode(self, s, _w)
333 """Return the Python representation of s (a str instance
334 containing a JSON document).
335
336 """
--> 337 obj, end = self.raw_decode(s, idx=_w(s, 0).end())
338 end = _w(s, end).end()

File c:\Users\Leslie\miniconda3\envs\pytorch2\lib\json\decoder.py:355, in JSONDecoder.raw_decode(self, s, idx)
...
973 # Catch JSON-related errors and raise as requests.JSONDecodeError
974 # This aliases json.JSONDecodeError and simplejson.JSONDecodeError
--> 975 raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)

麻烦帮忙指导指导，谢谢。

您好，十分感谢您能公布开源接口，您的成果对我的帮助非常大！
能否新增中信或申万行业分类，及其成份股数据条款？
十分感谢。