Unable to read data: Warning invalid value encountered in multiply data_curves

[ELGarulli]

Dear Ephyviewer community,

First of all thank you so much for your work, having this simple tool is an amazing help. Today I tried to share the joy of using ephyviewer with a colleague (@dsr33) but we encountered what seems to be a bug.
We tried to visualize data from numpy arrays. The same file works on my computer and displays correctly (jupyter notebook Python 3.8.8)

However, when trying to run the same code, on the same data on my colleague's computer the data appears clipped and generally wrong.

On his computer we tested the code in jupyter notebook, spyder (Python 3.11.5) and Pycharm (Python 12), and obtained the same result. We both have the same ephyviewer version (1.6). The only warning raised is the following:

ephyviewer\Lib\site-packages\ephyviewer\traceviewer.py:332: RuntimeWarning: invalid value encountered in multiply data_curves *= total_gains[visibles, None]

We could reproduce the same error also with the simple example you provided. When we inspected how "data_curves" looks like at the line that throws the warning, we saw that it contained a nan value. If I understand this correctly, this shouldn't be there as the data in the example are randomly generated.

Could I ask you for your support in resolving this? Please let me know if I can provide any additional information.

[samuelgarcia]

Hi,
thanks for the kind words.
Can you try with installing from source ?
If you have the same I will try to have a look. I get recently strange behavior on a computer of a colleague too!

[ELGarulli]

Hi!
Thanks for the super quick reply, we will try tomorrow.
As a small update, it looks like changing the time width in the GUI makes it or breaks it.
Here is time width 1s

Here is at 0.05

On these data it looks like the tipping point is 0.5s

[samuelgarcia]

Hi.
I am able to reproduce this on the pypi version 1.6.0 but seems to be fixed in the source.
I aill make a release next monday.

[ELGarulli]

Hi,
thanks a lot, sorry I didn't get to test the source yet.
But that's fantastic news. Again thanks for your super quick help!