How to Manipulate Data from Binance Stream using Python
Learn how to extract and manipulate data from a Binance websocket stream in Python. Understand the process of flattening nested data and creating a well-structured DataFrame for analysis.
---
This video is based on the question https://stackoverflow.com/q/73207153/ asked by the user 'John' ( https://stackoverflow.com/u/19674407/ ) and on the answer https://stackoverflow.com/a/73207420/ provided by the user 'prednizone' ( https://stackoverflow.com/u/18883754/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.
Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How to manipulate data from binance stream
Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.
If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
How to Manipulate Data from Binance Stream using Python
If you're working with Binance's websocket API and trying to process market data, you may run into challenges when it comes to extracting specific pieces of information from the nested data structures provided. This guide explores how to effectively manipulate websocket data to extract meaningful variables like time, symbol, and price.
Understanding the Data Structure
In a typical websocket message from Binance, the data may resemble the following:
[[See Video to Reveal this Text or Code Snippet]]
In this message:
'E' represents the event timestamp.
's' is the trading symbol.
'k' is a dictionary containing additional details like prices and volume.
The Problem
You want to extract the following key values:
'E' for the event time
's' for the symbol
'c' for the closing price
However, when trying to directly access 'c', you encounter an error stating that 'c' is not defined. This happens because 'c' is nested inside another dictionary ('k'), not at the top level of the main message.
Solution: Flattening the Data
To effectively manipulate the data and extract the needed values, you must "flatten" the nested dictionary. Below, we provide a breakdown of the necessary code to do this.
Step 1: Define the Flatten Function
First, define a function that will unpack the nested structures:
[[See Video to Reveal this Text or Code Snippet]]
This function checks if an entry in the data is a dictionary. If so, it iterates through that dictionary to extract its keys and values, adding them to a new flat dictionary.
Step 2: Modify the Create Frame Function
Next, revise your existing createframe function to accommodate the new flattened structure:
[[See Video to Reveal this Text or Code Snippet]]
Step 3: Integrate Everything into the Asynchronous Receiver Loop
Finally, integrate these functions into your asynchronous websocket data receiver:
[[See Video to Reveal this Text or Code Snippet]]
Conclusion
By flattening the data structure before trying to access it, you can seamlessly extract the necessary values such as symbol, time, and price from the Binance stream data. Feel free to reach out with comments or questions if you're looking for more clarity or assistance with your implementation. Happy coding!
Nesta página do site você pode assistir ao vídeo on-line How to Manipulate Data from Binance Stream using Python duração hora minuto segundo em boa qualidade , que foi baixado pelo usuário vlogize 03 Abril 2025, compartilhe o link com seus amigos e conhecidos, no youtube este vídeo já foi visto 10 vezes e gostou like espectadores. Boa visualização!
