Finding audio "tics" in stereo wav files using python
I don’t know what DAW you use, but I’m pretty sure Waves and probably some other companies have plug ins for this kind of application.
After reviewing your images it seems that the tics are high frequency and high amplitude so there are some simple things you could try.
You could check each sample and compare the absolute value to some threshold, such that if it is higher, you have a tic.
Second, you could high pass filter the signal to isolate the tic, then do the previous step.
Third, you could calculate the RMS of the signal, then compare the absolute value (peak) of each sample to the RMS, such that a tic occurs whenever the ratio or difference exceeds a given threshold.
Lastly, you could do frequency magnitude analysis.  For this you would set up a window size N and step size M.  Every M samples you take N samples and apply a window function, then calculate the frequency transform magnitude of the N samples.  One idea would be to look at the rate of change of individual frequency components such that if it exceeds a threshold you have a tic.  This is probably the most CPU intensive and complex implementation.