我如何告诉python我的数据结构（二进制）是什么样子，以便我可以绘制它？

Question

I have a data set that looks like this.

b'\xa3\x95\x80\x80YFMT\x00BBnNZ\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00Type,Length,Name,Format,Columns\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xa3\x95\x80\x81\x17PARMNf\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00Name,Value\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xa3\x95\x80\x82-GPS\x00BIHBcLLeeEefI\x00\x00\x00Status,TimeMS,Week,NSats,HDop,Lat,Lng,RelAlt,Alt,Spd,GCrs,VZ,T\x00\x00\xa3\x95\x80\x83\x1fIMU\x00Iffffff\x00\x00\x00\x00\x00\x00\x00\x00\x00TimeMS,GyrX,GyrY,G

I have been reading around to try and find how do I implement a code into python that will allow me to parse this data so that I can plot some of the column against each other (Mostly time).

Some things I found that may help in doing this:

There is a code that will allow me to convert this data into a CSV file. I know how to use the code and convert it to a CSV file and plot from there, but for a learning experience I want to be able to do this without converting it to a CSV file. Now I tried reading that code but I am clueless since I am very new to python. Here is the link to the code:

https://github.com/PX4/Firmware/blob/master/Tools/sdlog2/sdlog2_dump.py

Also, Someone posted this saying this might be the log format, but again I couldn't understand or run any code on that page.

http://dev.px4.io/advanced-ulog-file-format.html

Answer 1

A good starting point for parsing binary data is the struct module https://docs.python.org/3/library/struct.html and it's unpack function. That's what the CSV dump routine you linked to is doing as well. If you walk through the process method, it's doing the following:

• Read a chunk of binary data
• Figure out if it has a valid header
• Check the message type - if it's a FORMAT message parse that. If it's a description message, parse that.
• Dump out a CSV row

You could modify this code to essentially replace the __printCSVRow method with something that captures the data into a pandas dataframe (or other handy data structure) so that when the main routine is all done you can grab all the data from the dataframe and plot it.