Can i make Signals from time series data which datatype =string?

[darlingbud]

Python version

Please run the following snippet and write the output here

('python=3.10.12 | packaged by conda-forge | (main, Jun 23 2023, 22:34:57) '
'[MSC v.1936 64 bit (AMD64)]')
'os=Windows-10-10.0.22621-SP0'
'numpy=1.26.4'
'asammdf=7.4.1'

Code

MDF version

MDF=4.0

Code snippet

please write here the code snippet that triggers the error

Traceback

please write here the error traceback

Description

Thank you working , I have some question.
I want read some time series data from '.CSV' file and turn to MDF data , then save the data as MDF file.
I use pandas to read CSV file and turn the time series to Signals, then make MDF from the Signals.
I learn the document example 'Working with Signal',and imitate the code , It works when the datatype=' float' or 'int' .
But if the datatype = 'string', Can I make the time series data to Signal and make MDF file ?

[danielhrisca]

Have a look here

asammdf/examples/mf4_demo.py

Line 67 in c9d0e44

encoding="latin-1",

you need to convert to bytes series and provide the encoding to the Signal object