数据插入代码为：
appender = ddb.tableAppender(db_path, db_table, session)
appender.append(table_data)

上述代码运行会触发 Warning：
dolphindb/session.py:1176: UserWarning: Pandas doesn't allow columns to be created via a new attribute name - see https://pandas.pydata.org/pandas-docs/stable/indexing.html#attribute-access

我的版本信息为：
dolphindb 1.30.21.2
pandas 1.5.2

请问这个报警会影响程序正确性么？如果是，应该如何修正？

ImportError: DLL load failed while importing dolphindbcpp: 动态链接库(DLL)初始化例程失败。

macOS High Sierra 10.13.6 (17G14042)
conda 22.9.0
python 3.7.13
RUN:
pip install dolphindb
OUTPUT:
ERROR: Could not find a version that satisfies the requirement dolphindb (from versions: none)
ERROR: No matching distribution found for dolphindb

作为python3.4版本后主要的发展方向，只有同步接口的话我觉得应用场景十分受限

请问dolphindb有3.8之后版本的python和高版本numpy支持计划么？

安装了1.30.0.5版本，
from dolphindb.type_util import *
报错找不到type_util
而且我看源码里也确实没有看到这个模块的文件，怎么解决？

ERROR: Could not find a version that satisfies the requirement dolphindb (from versions: none)
ERROR: No matching distribution found for dolphindb

您好开发者，非常感谢您，请问将来会支持python3.11吗？大概什么时间会上线呢？

这个问题有解决办法吗？还是我装错了？
none of the wheel's tags ... are compatible
ERROR: Could not find a version that satisfies the requirement dolphindb==1.30.0.5 (from versions: none)
ERROR: No matching distribution found for dolphindb==1.30.0.5

docker image

ubuntu:latest

hostname

   Static hostname: raspberrypi
         Icon name: computer
        Machine ID: 44087beb04334b83a8f3b6fb8b93f95f
           Boot ID: 2f004e709b0449b385df47c7310e5aaa
  Operating System: Raspbian GNU/Linux 10 (buster)
            Kernel: Linux 5.10.63-v7l+
      Architecture: arm

python version

Python 3.8.10 (default, Nov 26 2021, 20:14:08) 
[GCC 9.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.

command

pip install dolphindb

error

Looking in indexes: http://mirrors.aliyun.com/pypi/simple
ERROR: Could not find a version that satisfies the requirement dolphindb (from versions: none)
ERROR: No matching distribution found for dolphindb

Does it support docker ubuntu image in raspberry (arm32V7)?

script = f"""
dataPath = "{self.db_client.db_url}"
db = database(dataPath)

        bar_columns = ["symbol", "exchange", "datetime", "interval", "volume", "turnover", "open_interest", "open_price", "high_price", "low_price", "close_price"]
        bar_type = [SYMBOL, SYMBOL, NANOTIMESTAMP, SYMBOL, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE]
        bar = table(1:0, bar_columns, bar_type)

        db.createPartitionedTable(
            bar,
            "bar",
            partitionColumns=["datetime"],
            sortColumns=["symbol", "exchange", "interval", "datetime"],
            keepDuplicates=LAST)
        """
        self.db_client.execute(script)

我通过如上脚本进行执行的时候，一直报错，但是我看接口的参数我都传了

py3.11 pip install 用不了,想自己setup一下~

Ubuntu-22.04
python版本3.8.18
pandas 1.5.3
doblindb 1.30.22.6

appender: ddb.PartitionedTableAppender = ddb.PartitionedTableAppender( ddb_conn.db_path, "stock", "trade_date", ddb_conn.pool ) appender.append(data)
报错：

RuntimeError Traceback (most recent call last)
Cell In[25], line 4
1 appender: ddb.PartitionedTableAppender = ddb.PartitionedTableAppender(
2 ddb_conn.db_path, "stock", "trade_date", ddb_conn.pool
3 )
----> 4 appender.append(data)

File d:\anaconda3\envs\qlib_env\lib\site-packages\dolphindb\session.py:1201, in PartitionedTableAppender.append(self, table)
1199 if self.pool.is_shutdown():
1200 raise RuntimeError("DBConnectionPool has been shut down.")
-> 1201 return self.appender.append(table)

RuntimeError: in append: column [code], expect type SYMBOL, got type DOUBLE

但是data.info()数据类型为：
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 5318 entries, 0 to 5317
Data columns (total 23 columns):

Column Non-Null Count Dtype

0 adj_open 5318 non-null float64
1 vwap 5318 non-null float64
2 amount 5318 non-null int32
3 adj_close 5318 non-null float64
4 high 5318 non-null float64
5 code 5318 non-null object
6 adj_factor 5318 non-null float64
7 open 5318 non-null float64
8 pct_chg 5318 non-null float64
9 adj_low 5318 non-null float64
10 change 5318 non-null float64
11 trade_status_code 5318 non-null float64
12 limit 5318 non-null float64
13 close 5318 non-null float64
14 volume 5318 non-null int32
15 adj_preclose 5318 non-null float64
16 stopping 5318 non-null float64
17 trade_date 5318 non-null datetime64[ns]
18 pre_close 5318 non-null float64
19 trade_status 5318 non-null object
20 low 5318 non-null float64
21 adjclose_backward 5318 non-null float64
22 adj_high 5318 non-null float64
dtypes: datetime64ns, float64(18), int32(2), object(2)
memory usage: 914.2+ KB
code类在py中的数据类型为object但是报错却说其类型为DOUBEL????这是为什么

I am currently working on a benchmark of time series database systems for analytical (complex) queries. These queries are algorithms that cannot (easily) be implemented in SQL language so they require a third-party programming language such as C, C++, Python, Java, etc.

I am writing to you to ask if DolphinDB support such a feature of a third-party programming language for User Defined Functions?