Hello,
My question is somewhat similar. I have data from a CSV file that has measurements of a mean sea level pressure. The data is available every 5 minutes. That means 8928 sample points over a month. But during a hurricane event there was a power failure and only 8867 data points are available. I am short by 61 points to get a uniformly spaced sample. I am wanting to take an FFT of the data in order to check for periodicity, waves and frequencies there of. What are my best options ?
The first SO answer is reliable (the second is mostly useless for the kind of gap you are talking about); the Lomb-Scargle periodogram is a very reasonable way to do the task. To answer those questions, you will likely want a periodogram, not the more fundamental Fourier transform. But if you do want a full complex-valued Fourier transform for whatever reason, `nfft` should do the job:
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Robert Kern