LTSpice export data as txt, reducing number of points

[Cloud]

So for dissertation I need a few plots from different programs which I hate so I have created python script to create plots from csv files. Now the problem is with LTSpice file which is 1.8GB. Is there a way that I can export every 10th or 100th point?

[ledtester]

After exporting the plot data as a txt file you can use a variety of text processing tools to extract every n-th line.

Using Unix utilities (which are available under Windows with WSL):

https://unix.stackexchange.com/questions/369181/printing-every-nth-line-out-of-a-large-file-into-a-new-file

and here is a streaming solution with Python:

https://stackoverflow.com/a/51744520/866915

[SiliconWizard]

I suppose the OP would like to find a way for LTSpice to generate smaller files, to avoid having to store, and handle large text files to begin with. The rest, they can probably do it?

LTSpice can export plots to "text" files - those are actually CSV, with the separator being a TAB character.
Unfortunately, I don't think there is any setting for this. Even the format itself (including the separator) is not modifiable.

An alternative would be to read the RAW files directly, instead of exporting plots to text as an intermediate. I believe there are libraries for reading those RAW files.
Take a look at this: https://www.nunobrum.com/pyspicer.html

[Cloud]

I have found out that files are not the same size for different C size in simulation. So I am thinking one option would be to separate txt file into separate runs (or just run fixed simulations instead of step) and than create a python script to reduce number of lines in each txt file so all files will have same number of lines

[ledtester]

Note that it's possible that the time coordinates in the files won't be the same between simulations:

https://groups.io/g/LTspice/topic/50218484

so I imagine you'll want the python scripts to do some interpolating so all of the data has a uniform time base.

[Cloud]

Probably I will just run single simulation for every value C and then plot every run separately into same plot. That way I believe everything will be correctly aligned.