Hello Lore,
For this feature to work make sure you have downloaded the latest version of openCARP. To create the aux grid use the feature as follows:
ECG_outputpoints = os.path.join(CALLER_DIR, 'ecg.pts')
ECG_data = os.path.join(CALLER_DIR, job.ID, 'phie_recovery.igb')
aux = os.path.join(CALLER_DIR, job.ID, 'ecg.pts_t')
txt.write(aux, ECG_data, ptsf=ECG_outputpoints)
It is also implemented in tutorial 07_extracellular in the visualization section of the run.py .
If you want to know more about the kwargs notation for the txt class, the fastest way is to check the source code:
https://git.opencarp.org/openCARP/carputils/blob/master/carputils/carpio/txt.py
In response to your original question: To visualize everything in meshalyzer you can open the tissue mesh, use readIGB for the tissue data, and then use the read aux grid. This should load the geometry and also the corresponding data.
Use the AUX Tab in meshalyzer. Use the "Highlight" field to specify the point you want to plot and click plot to show the time series.
Greetings
Mark