Fix: Why the data precision is lost when calling python API to query floating point data in Apache IoTDB?

 Data precision loss when querying floating-point data in Apache IoTDB via a Python API could be due to a few factors:


1. Data Serialization: When data is transmitted between the server and the Python client, it may be serialized and deserialized. Serialization formats like JSON or binary encoding may not preserve the full precision of floating-point numbers.


2. Data Type Conversion: The Python API might automatically convert data types, and some precision may be lost during this conversion. For example, Python may represent floating-point numbers differently from IoTDB.


3. Display Formatting: The way data is displayed or printed in Python can affect how it appears to the user. Python's default display settings may round or truncate floating-point numbers.


4. Limitations in the Python Client: The Python client for IoTDB may have limitations or bugs that affect how it handles floating-point data.


To address these issues, you can:


- Check the documentation for the specific Python API you are using to see if there are any configuration options or settings related to data precision.

- Use a different serialization format that better preserves floating-point precision.

- Explicitly specify data types when working with the data to ensure precision is maintained.

- Consider using a different client or library if the precision loss is a significant concern.


Keep in mind that without specific details about your code and the API you're using, it's challenging to provide a more precise solution.

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